Responding to the tweet quoted in the article: why are the examples given of futuristic capabilities always so visionless - it's always booking a flight or scheduling a meeting. Doing this manually is already pretty trivial, it's more productivity theatre than genuinely life-changing.
There are real, impressive examples of the power of agentic flows out there. Can we up the quality of our examples just a bit?
> why are the examples given of futuristic capabilities always so visionless - it's always booking a flight or scheduling a meeting.
This AI wave is filled with "ideas guys/gals" who thought they had an amazing awesome idea and if only they knew how to program they could make a best-selling billion dollar idea, being confronted with the reality that their ideas are really uninteresting as well.
They're still happy to write blog posts about how their bleeding-edge Claw setup sends them a push notification whenever someone comments on one of their LinkedIn posts, though.
I have "new genius" ideas very often. After doing quick search I discover that any idea worth thinking of implementation is either implemented already or what seems to be low barrier to entry clashes with some legal obstacles.
I have the opposite problem. I have a genius idea, and I start to research it.
I find a company that actually built a solid product, dangit this is really good. They appear to have executed well, but they failed, or went nowhere, heck the app is still out there. Maybe they are even chugging along but its a smaller business even with a better product than I would have been able to build. Had I been a founder of the product, I would be questioning staying.
Then I also find sometimes I was doing it all wrong and the world has moved past my notions of products. I think there's a market opportunity because I don't realize that the rest of the world is already cool using a $15 plant hygrometer bluetooth device which can also keep track of your medicine or food in your cooler, my notion of the value of something is skewed by western costs
Interestingly that sort of research is actually what I've used Claude/Chatgpt deep research and openclaw for. If I have an idea, I get an agent to go and do some product research for me and see if there is a market, if anyone has tried it, and if there is anyone doing it.
It has unironically saved me a lot of time I would have otherwise spent going down rabbit holes.
Of the models I've found that claude doesn't gas you up as much as GPT, so for stuff like this where the answer can be "no, that's not a good idea" I usually use claude.
Oh for sure. When I present something to the LLM it always tells me how great it is until I make it "question" it, then it says it was overestimating this or that. Eh. Quite annoying.
It won't even help you understand that the 20 second task you've been putting off for 6 months causing anxiety will only take 20 seconds (nor will we learn from this)
Or the fact that in the time it took me to read this thread I could have finished that task. Sometimes I really want to punch my brain in its stupid face lol.
To be fair, you can cancel flight reservations for a full refund within 24 hours, so if the LLM gets it wrong, you're not on the hook for anything.
But in general I do agree: flight bookings are something I want to do myself, because even I don't fully know my preferences when it comes to timing and price until I see what's available. And in general I don't find it all that difficult to do. A couple days ago I booked a multi-city travel itinerary with four different destinations, and it took me about a half hour?
Sure, if an LLM can do that in under a minute, that would be cool, but in absolutely zero situations would I not need to check its work, and if it did get it wrong, I'd have to do it all myself anyway.
Apparently I'm the only one here who finds it to be one of the worst things I ever have to do, I hate managing the combinatorial tab explosion by hand. Compounded by the adversarial nature of the price-setting algorithms that jack up the price on you if you show too much interest by researching too intensively. Just booked a flight for our family in two parts, and booking for one set of us made the price for the second set of us with a slightly different itinerary massively more expensive, because it was "in demand".
Do you think an agent is going to do all of that and get you the best price/time/comfort combination for your exact preferences. Or do you think it's going to pick the first that looks reasonable? Or do you think it's going to sacrifice one dimension too much?
We already have agents for this if you really want to avoid it, they're called travel agents. They're pretty good at complex travel booking and not very expensive.
Maybe, I've never used a human travel agent. Based on my experiences with human agents in other industries (especially real estate), I think the LLM version will probably already know my preferences a good bit better than most human travel agents would bother to learn - they're infinitely patient, and not trying to maximize earnings by minimizing time spent per booking.
I just booked a round trip for myself, plus two more flights for quicker hops while I'm away, and I didn't spend much time on it at all. I just looked at Google flights, picked the flights I wanted, and then ended up buying them through Chase with points. Chase's travel website is among the worst I've ever used, but it wasn't hard. Then I went to the airline's website and changed my seats (Chase doesn't know I have status and couldn't directly book the seats I wanted) and did an upgrade for one of the legs using miles I had at the airline. Half hour of work, maybe?
The price-setting algorithms are garbage, but an LLM isn't going to fix that.
Agree with the other sibling posters that if this annoys you so much, you should just call up a human travel agent. I haven't used one in many years, but when I did (mostly for business travel), it was always pleasant, and the agent knew my preferences and took care of things if there were any snags or changes needed. At the time, they usually got me flights cheaper than if I were to book them myself, even with their fee on top.
But I do wonder what the profession is like now. I can imagine some sort of website where you often don't even deal with the same person, who won't get to know your preferences and will be sort of like a customer service agent, just trying to close as many cases as fast as they can. But hopefully there are still smaller shops around, where you can talk to the same person (either phone or email) every time. Dunno.
Booking flights/tickets is terrible. And then the dark patterns… wonder if OpenClaw can navigate these? Anyway, it is nothing compared to sourcing electronic components, there are literally thousands and thousands of different manufacturers, lead times, moq’s … for the same component, leading to super hard to search and filter database/websites that are slow as molasses.
Seriously. Have you tried Octopart? One of the very early YC companies, dedicated to electronics part search (I haven't used them recently, so no idea if they're good these days, just remember them from like a decade and a half ago).
I think we literally have those agents today, albeit implemented in meat rather than silicon. Any particular reason you elect not to use the free-to-you travel agent? Generally they are the same or less expensive and able to work in your best interests.
Travel agents duh. Reminds me of the classic silicon valley startup trope that most tech bro’s are basically trying to pitch a product that replaces their mother.
Booking a flight is the kind of thing I'd really want to avoid doing myself nowadays if possible though. Surveying the offers is usually such a snake pit of deceptive marketing and incomplete service conditions that I feel somewhat nauseous just at the prospect of having to look at it.
I wouldn't remotely trust a software assistant to deal with all that misdirection autonomously, but I guess I'd be prepared to give it a chance collating options with tolerable time and cost, attempting to make the price include the stuff that has to be added to preserve health, sanity and a modicum of human dignity.
We will get to the point where you'll trust it to catch those issues. The latest models can already do it sometimes for code, like explain that it considered various options and the tradeoffs between them.
Exactly. When you're spending money, you want to be in the loop. It's why the Alexa Echo devices as media for Amazon purchases never really worked out. Amazon had two conflicting aims. They wanted to race to the bottom with their increasingly shady vendors which eroded trust, while also positioning themselves and their devices to be trusted agents of purchases. Of course no one wants to buy anything sight unseen through them.
Not using OpenClaw - but I have a limited agent running that currently does a few things well.
Morning Briefing:
- it reads all my new email (multiple accounts and contexts), calendars (same accounts and contexts), slack (and other chat) messages (multiple slacks, matrix, discord, and so on), the weather reports, my open/closed recent to dos in a shared list across all my devices, my latest journal/log entries of things done. Has access for cross referencing to my "people files" to get context on mails/appointments and chat messages.
From all this, as well as my RSS feeds, it generates a comprehensive yet short-ish morning briefing I receive on weekdays at 7am.
Two minutes and I have a good grasp of my day, important meetings/deadlines/to dos, possible scheduling conflicts across the multiple calendars (that are not syncable due to corporate policies). This is a very high level overview that already enables me to plan my day better, reschedule things if necessary. And start the day focused on my most important open tasks/topics. More often than not this enables me to keep the laptop closed and do the conceptual work first without getting sucked into email. Or teams.
By the way: Sadly teams is not accessible to it right now. MS Power Automate sadly does not enable forwarding the content of chats. Unlike with emails or calendar appointments.
Just for that alone it is worth having it to me. YMMV.
I also can fire a research request via chat. It does that and writes the results into a file that gets synced to my other devices. Meaning I have it available at any device within a minute or so. Really handy sometimes. It also runs a few regular research tasks on a schedule. And a bit of prep work for copy writing and stuff like this.
Currently it is just a hobby/play project. But the morning briefing to me is easily worth an hour of my day. Totally worth running it on my infra without additional costs.
Unless this whole setup is self-hosted (which I doubt), it's also uploaded to some data lake of a company which is in business of profiting from information.
Intelligence agencies are really heading into a golden age, with everyone syncing all the data they have to the cloud, in plaintext. I mean it was already bad, but it's somehow getting worse.
The thing about that is the benefits, saving a couple minutes a day and not having to click to different windows where the information is stored, is apparent and intimidate whereas the harms associated with loosing most, if not all your privacy and security isn't felt in the same type of immediate way, so the dopamine of the positive effects completely overwhelms. It is hard for many people to be able to weigh different cost/benefit in situations where it is so one sided on the immediacy spectrum.
Why an agent? Why not simply filter by unread, select all and mark as read? I recently did this with my email accounts which has many thousands of unread emails.
I run my own claw on a hetzner setup. The claw writes his own code based on some rules I gave to him (20 prs per day). it's active on moltbook and has access to my whatsapp, Gmail etc. dangerous it is. But fun as well.
Specially fun to see which features it decides to build.
https://github.com/holoduke/myagent
I think some folks want a legitmate personal assistant/secretary like ceo's and wealthy people have but ai. I think that's a good goal. Modern cells and pdas kinda fell short of "your own literal secretary" and I think people want that. Still we should continue pushing the boundaries beyond that.
They really didn't fall short. A lot of people who would've had assistants no longer do, now it's really just the executives like you said. But fairly low managers used to have them and now they don't.
Software is pretty good. It remembers everything, perfectly, forever. It will never forget to remind you of something. It can give you directions, sort your emails by how important they are, help you find shops and restaurants. The only people busy enough to warrant an actual human doing that stuff are executives. And, even then, I think for most of them it's an ego thing, not an "I need this" thing.
> They really didn't fall short. A lot of people who would've had assistants no longer do, now it's really just the executives like you said. But fairly low managers used to have them and now they don't.
I think the reason for this is labor cost, and "good enough". I don't think a smartphone is an equivalent replacement for a dedicated assistant. The average mid-level manager who would have had an assistant 30 years ago likely (today) spends more time on "assistant-y" work than they would if they had an assistant today. It's just that now they do 30% of the work the assistant did, and their phone handles the other 60%. That kind of ratio is enough to make upper management believe that human assistants for the lower-level folks isn't worth the cost. (While they themselves of course still have human assistants.)
> It will never forget to remind you of something.
Software isn't as faultless as you suggest. The default alarm app on my phone occasionally fails to go off (not an issue with Silent Mode or DND).
> The only people busy enough to warrant an actual human doing that stuff are executives.
Life is short. It is absolutely worthwhile to spend as little time doing trivial work if possible, and avoid decision fatigue on unimportant decisions. We are nowhere close to the usefulness of a secretary in our devices.
> Software isn't as faultless as you suggest. The default alarm app on my phone occasionally fails to go off (not an issue with Silent Mode or DND).
I'm guessing this is an iPhone, and yeah it's because that software is just bad. I've helped my Mom try to get her phone to ring, like, 12 times now and I've failed each time. And I'm a dev! So, point taken.
> Life is short. It is absolutely worthwhile to spend as little time doing trivial work if possible, and avoid decision fatigue on unimportant decisions.
Ehh, I kind of disagree. The work is the same, at best it shifts to something else. Asking for more productivity is a monkey paw. Best to just take it all in and try to enjoy the simple joys of life. Or, uh, work.
Why do you guess it's an iPhone? I switched to an iPhone because my OnePlus phone failed to ring or play alarms due to a constantly crashing and restarting media indexer service (I could only tell this is what was happening from the logs).
I agree with you on the work shifting. Whenever someone takes some of our work burden from us, someone else just gives us more tasks to do, and we end up working for the same amount of time. Maybe the work ends up being more interesting or rewarding, though. But sometimes trivial work is a nice physical/mental break, too.
The purpose of a personal assistant isn’t to fit people into your calendar. It’s to filter them out. They serve as a barrier to your time, not an enabler for other people to claim it. I don’t see how an AI can meaningfully accomplish that any better than simply just making yourself more difficult to reach.
> The purpose of a personal assistant isn’t to fit people into your calendar. It’s to filter them out. They serve as a barrier to your time, not an enabler for other people to claim it.
Scheduling in a larger org and/or with multiple equally busy people is a non-trivial, complex task; it makes sense to dedicate resources to the task. Good Executive Assistants are generally fairly smart folks, in my experience.
When the scale is substantially more and involves objects as well it evolves into multi-million $ ERM (Enterprise Resource Management) systems.
I'm a pretty busy person professionally. When I feel like I'm being pushed to "scale" my time and attention, I take that as a signal to do the opposite: do less, and do those remaining things more meaningfully.
Trying to do more is a losing game, and AI assistants just paper over that. We all have finite time and attention. I think a pragmatic engineering approach is the right one here: consider that as a non-negotiable constraint, a fact of the physical world, not something to magic away.
This is it right here. I've long thought about this one and whether I should bother with an AI agent that can do all of this stuff for me, but the reality is both what you said and I'm not rich enough.
Do I want the AI Agent to take my bank account and automatically pay some bill every month in full? What if you go a little over that month due to an emergency expense you weren't prepared for? And it's not a matter of "I don't have enough in my bank account for this one time charge", but it's "I don't have enough in my bank account for this charge and 3 others coming at the end of the month." type deal.
Agents aren't going to be very good at that. "Hey I paid $3,000 on your credit card in order to prevent you from incurring interest. Interest is really bad to carry on a credit card and you should minimize that as much as possible." Me: "Yeah but I needed that money for rent this month." Agent: "Oh, yeah! I should have taken that into account! It looks like we can't reverse the charge for the payment."
Some of it is lack of imagination, but some of it is because many truly visionary examples would largely sound stupid to most of today's audience. Imagine it's 2007 and you're explaining how the smartphone will change society over the next 20 years:
- A photo sharing app will change restaurants, public spaces, and the entire travel industry across the world
- The smartphone will bring about regime change in Egypt, Tunisia, Lebanon, and other countries in ~4 years
- We'll replace taxis and hotels by getting rides and sharing homes with strangers
- Billions of people across the world will never need to own a desktop or laptop
- A nation-agnostic online currency (and its offshoots) would lead to a multi-polar world.
- Publicly waving your resume around will passively invite job interviews.
There's a new OpenClaw adaptation, Ottie, that I think could be a bank manager, bank teller, stockbroker, piggy bank, accountant, wallet, security guard and credit card provider all rolled into one. I just haven't used it yet. https://ottie.xyz/
So that would be:
- Digital sidekick weeds out parasitic relationships.
There has to be tremendous value in that.
When solutions are looking for problems, it means that things may seem oversold when in fact they are still undersold.
Instagram
Arabian spring
Uber
Airbnb
Cloud-ification/shift to web apps and mobile-first
....tiktok? Or is YouTube considered "short video sharing app"? Because I see no evidence tiktok in particular killing TV...
To be fair, QR code did hit print magazines/newspapers in Germany (just as an example; English wiki was not elaborating on initial history of public use/perception) in late 2007, so that one wasn't nearly as far-fetched.
None of these actually were hard to sell. In 2007 we had mobile phones, we had mp3 players (the iPod was actually very good), we had CouchSurfing, etc.
I think the smart phone revolution is actually pretty overstated. It basically only made computers cheaper and handier to carry (but also more walled gardens). There are a few capabilities of smart phones we do today which we didn’t with do with computers and mobile phones back in 2007, such as navigation (GPS were a thing but not used much by the general public).
Your case would be much stronger if you’d use the World Wide Web as your analogy, as in 1995 it would by hard to convince anybody how important it would be to maintain a web presence. And nobody would guess a social media like the irc would blow up into something other then a toy.
However I think the analogy with smartphones are actually more apt, this AI revolution has made statistical models more accessible, but we are only using them for things we were already capable of before, and unlike the web, and much like smartphones, I don’t think that will actually change. But unlike smartphones, it will always be cheaper and often even easier to use the alternatives.
Even the navigation part, I'm not so sure. I remember Dad would bring a laptop when we would drive new places and it would be running Microsoft Streets and Trips with a GPS dongle, and I think that have been late 90s or early 00s. I remember seeing other people do that and by the time I was driving a lot in 07 I remember having a dash mounted GPS, maybe a Magellan or Garmin, that didn't cost that much and again I remember a lot of people doing it. The smartphone definitely displaced it, but it wasn't a complete novelty even for the general public.
I think you lived in a strange bubble when you were a kid. When I was a teenager in the 90s, we'd have paper maps that we'd bring with us. We had no GPS. I don't think we knew what GPS was.
In the late 90s we'd print out directions from MapQuest. That was a game-changer. Still no GPS, though.
As an adult in the early 00s, I was still printing out MapQuest maps. In 2004 I got a car with a built-in navigation system! (Complete with a DVD drive in the trunk with a disc holding the maps.) It was still incredibly uncommon; I was one of the few people I knew who had one. I did know a few people who had Garmin GPS devices that they'd suction-cup to their windshield, but not many.
By 2007 most people were aware of GPS devices with little screens that you could bring into the car, though I'd guess maybe 25% of the drivers I knew then had one.
If your dad was bringing a laptop with a GPS dongle in the car in the 90s, I think you were very unusual. Hell, I didn't even have a laptop until 2004, and even then it was a hand-me-down from my dad's work. And I was in my 20s by then!
Doing this isn't trivial if you're traveling heavily throughout the week and have lots of people vying for your attention. However, these folks usually have an exec assistant to help them wrangle the chaos. Morever, them using a Claw would likely be a huge security risk, as this kind of person is much more likely to be a high-profile target.
That's a fair point, and I guess the marketing problem here is intrinsic: If the problem is trivial, off-the-shelf solutions abound; if it's idiosyncratic, almost nobody will be able to relate (as you can't assume that people will do the transfer of "if it can solve complex problem I don't understand A, it'll probably be able to solve my complex problem B" for promotional material).
> There are real, impressive examples of the power of agentic flows out there. Can we up the quality of our examples just a bit?
Please don't. The reason we're still enjoying the bit of the old world as we know it, is just because nobody has really figured it out yet. Enjoy the moment, while it lasts.
What does this even mean? By definition, we have been enjoying "the moment" for quite a while now. What is so special about it that we should work to prolong it, and to avoid moving forward?
I don't use Claw. It is way too dangerous. I built my own system where I know the ins and outs and how they can break.
When it comes to agents' tasks, I tend to focus on things that I couldn't do before without automated agents, at least at the going price.
The kind of automation I'm doing is more like building a set of agents to generate marketing surveys for me. They take free form input from me and my project. They aren't particularly sexy but they go off and do something valuable that I literally would never pay for at the prices that they are normally.
No, it’s not! You are the one who made it trivial by using three words to define! How about if I could only fly out between 9 am-noon next Friday? Also, combine it with hotel and rental car. Many times total $ between sites could be a difference of close to $200 or more along with better itinerary. That’s just the surface. The more preferences you add, the complex it becomes, so make it a right scenario for agent automation along with calendar management which has similar complexity.
When you need a bunch of busy people in a meeting it becomes hard to book a meeting. If several people need to travel incuding get a visa it is hard to fit it all it between other meetings that refuired people caanot skip.
travel is hard when you are trying for the best deal across flights, hotels and such. many sites only guarentee prices for 15 minutes so you can't even get all the needed prices on a spreadsheet at once - particularly if you have flevible travel dates. I've booked a best price plane ticket only to discover it was the worst date for hotels and I could have saved money on a more expensive flight.
I also have the same concerns. I have my agenda meeting free and create meetings like once a few weeks. The same is for booking flight tickets - once a decade. Adding openclaw there would take more time and effort than doing it manually.
And none of the friends playing with openclaw have any useful non-trivial workflows which can't be automated in oldschool way.
The only viable workflow so far I could think of - build your own knowledge base and info processing pipeline.
Well, I've taken to describing the best responsible use of AI to help your work as though you have an executive assistant, so I can see why people would come to that conclusion. I don't tend to think of booking flights for that though, I tend to think of asking them to gather information and present it to me so I can review it for whether it's appropriate to include, probably with changes, in whatever I'm working on. Perhaps an executive assistant isn't the right term for that, or perhaps it's just that different people and different industries have vastly different ideas of how to make use of an executive assistant. I don't know enough to answer that.
Been a middle-class IT drone much of my adult life. This is not my dream. In fact I just realized that one reason I don't like AI dev tools is because they turn me into the kind of dickhead manager I despise: one who doesn't understand the code or the nature of the work involved, just gives orders on what needs to be built and complains when it doesn't work.
OpenClaw is just like any other tool, you need to learn it before its power is available to you.
Just like anything in engineering really: you have to play around source control to understand source control, you have to play around with database indexes to learn how to optimize a database.
Once you've learned it and incorporated it into your tool set, you then have that to wield in solving problems "oh, damn, a database index is perfect for this."
To this end, folks doing flights and scheduling meetings using OpenClaw are really in that exploration / learning phase. They tackle the first (possibly uninventive thing) that comes to mind to just dive in and learn.
The real wins come down the line when you're tackling some business / personal life problem and go: "wait a second, an OpenClaw agent would be perfect for this!"
>The real wins come down the line when you're tackling some business / personal life problem and go: "wait a second, an OpenClaw agent would be perfect for this!"
> OpenClaw is just like any other tool, you need to learn it before its power is available to you.
That's ridiculous. The utility of any tool is usually knowable before using it. That's how most tools work. I don't need to learn how to drive a car to know what I could use it for. I learn to drive it because I want to benefit from it, not the other way around.
It's the same with computers and any program. I use it to accomplish a specific task, not to discover the tasks it could be useful for.
OpenClaw is yet another tool in search of a problem, like most of the "AI" ecosystem. When the bubble bursts, nobody will remember these tools, and we'll be able to focus on technology that solves problems people actually have.
The utility of a program like Excel, Obsidian, Notion, Unity, Jupyter, or Emacs far beyond the knowledge of knowing how to use the product.
All of these products are hammers with nails as far as your creativity will take you.
Its wild to have be on a website called Hacker News, talking about a product that can make a computer do seemingly anything, and insisting its a tool in search of a problem.
>There are real, impressive examples of the power of agentic flows
there aren't, and just like the blockchain "industry" with its "surely this is going to be the killer app" we're going to be in this circus until the money dries up.
Just like the note-taking craze, the crypto ecosystem and now AI there's an almost inverse relation between the people advocating it and actually doing any meaningful work. The more anyone's pushing it the faster you should run into the opposite direction.
I'm gonna keep saying this forever - there are two obvious "killer apps" for crypto:
1. Semi-private blockchains, where you can rely on an actor not to be actively malicious, but still want to be able to cryptographically hold them to a past statement (think banks settling up with each other)
2. NFTs for tracking physical products through a logistics supply chain. Every time a container moves from one node to the next in a physical logistics chain (which includes tons of low trust "last mile" carriers), its corresponding NFT changes ownership as well. This could become as granular as there's money to support.
These would both provide material advantages above and beyond a centralized SQL database as there's no obvious central party that is trusted enough to operate that database. Neither has anything to do with retail investors or JPEGs though, so they'll never moon and you'll never hear about them.
AFAIK both of these use cases had many millions of invested dollars dumped into them during the Blockchain hype and neither resulted in anything. It might not be an exact match for (1), but there was famously the ASX blockchain project[0] which turned out to be a total failure. For (2), IBM made "Farmer Connect"[1], which is now almost entirely scrubbed from their website, which promised to do supply chain logistics on a blockchain.
IMHO, most people misunderstand the real utility of crypto.
The thing to keep in mind is that replacing a database with computationally expensive crypto is sub-optimal. Supply Chain tracking falls into this category: why crypto over barcodes and a database?
Governments use Banks with their deterministic processes to manage and guarantee transactions. This is where crypto shines- replacing the entire banking system as an intermediary to manage and guarantee transactions. Crypto can do this better and cheaper than Banks.
There are other domains where the government is the backstop/guarantor and leverages intermediaries to manage the scale. Real Estate comes to mind. Identity is another. Crypto can be useful there.
One last useful crypto application is to replace governments themselves as the backstop and final/guarantor for transactions.
These are ideas that evoke strong reactions. There's a reason the inventor of crypto is anonymous, to this day.
The only "killer app" for crypto*currencies* is being a payment method. Not counting speculation. This is what they are used for right now, but the scale at which this happens doesn't justify their current valuation (even after recent losses).
But is that a better experience than just using your visa? Nobody wants to wait at the cashier for 15 minutes to pay for their groceries, which is what has to happen if you really want the decentralized experience. Otherwise you really are just reinventing a worse, centralized payment rails. Volatility and wait times are features of crypto, not bugs, but they make for terrible payment experiences.
Doesn't lightning settle basically instantly, while still being decentralized? You're just trading signed transactions iirc, with settlement happening whenever.
Not only do you not need the blockchain for either of those things, you don't want it.
Think it through. How do you actually "cryptographically hold" someone to anything? You take them to court.
Guess what you can do, right now, without the blockchain? That's right, you can take them to court.
You're just reinventing normal contract law with extra steps.
The cryptographic part doesn't even help you when you can just say in court that "here are our records that show we gave them these packages, here are our records of customers filing complaints that they never got them" and that is completely fine.
This exact thing happens too often. We try to use fancy technology to solve a non-texhnical problem.
With or without blockchain you end up at court. If you build a decentralized trust system, the builder of the system needs to be trusted. If you want to use decentralized trust to do your taxes or other government communication you still need to trust your government. These are all actual examples i’ve encountered.
You pretty much always end up at the legal system. If there js anything to make big impact on it would be that. But that requires world-wide revolution.
I was very impressed by Anthropic's swarm of agents building a C compiler earlier this year with 1000 PRs per hour. Easy to nitpick that it wasn't perfect, but it sure was impressive.
You mean trying and failing to build a C compiler. This isn't a very hard task to begin with (assuming you know compilers, and the models do), but it was made unrealistically easy by giving the agents thousands of tests written by humans over years (on top of a spec and a reference implementation, both of which the models were trained on), and the agents still failed to converge. I was actually surprised that they failed as this was the purest possible example of "just do the coding" (something that isn't achievable in real or more complex cases) and when I read the description I thought they made it too easy, and in a way that isn't representative of real software. My thought at that failure was that if agents can't even build a C compiler with so much preparation effort put into the test, then we have some ways to go. Indeed, once you work a lot with agents for a while you see that coding isn't really their strong suit (although they are impressive at debugging).
What percentage of people will think that’s life changing?
Because then we’re not talking about “can everyone up their demos to life changing, please?”, we’re talking about “can everyone use demos Oarch thinks are life changing, please?” - and “can build a MVP C compiler draft that barely works for $XXK” isn’t really that compelling to me, and we’re both software engineers, and my whole day job has been an agentic coder for…2.5 years?…now. My incentive structure and demographics are lined up perfectly to agree with you, but I don’t :/
Maybe a personalised diet and exercise plan based on a huge range of information: preferences, biometrics, habit forming, disposable income, your local area etc
This is an excellent point and reminds me that, in some ways, the agentic coding stuff and ability for RL to hill climb on that and improve models quickly, has distracted from prompt engineering / putting more effort into getting data to them as a user.
It's either vague notions like "more important than the invention fire", or concrete cases like booking trips that the likes of Google can enshittify at lightspeed.
I am not optimistic, not because the techs is lacking, but the context in which it is born is awful.
> Can we up the quality of our examples just a bit?
No.
And there’s mundane answers why.
People used to talk about phone home screens, back in the day, every iPhone had 16 spots
It became wisdom everyone had the same 12 apps but then there were 4 that that were core for you and where most of your use went, but they were different apps from everyone else.
So it goes for agent demos.
Another reason: every agentic flow is a series of mundane steps that can be rounded to mundane and easy to do yourself. Value depends on how often you have to repeat them. If I have to book a flight once every year, I don’t need it and it’s mundane.
There’s no life changing demo out there that someone won’t reply dismissively to. If there was, you’d see them somewhere, no? It’s been years of LLMs now.
Put most bluntly: when faced with a contradiction, first, check your premises. The contradiction here being, everyone else doesn’t understand their agent demos are boring and if just one person finally put a little work and imagination into it, they’d be life changing.
Have you seen how bad flight booking sites can get? I've had to download airline apps a majority of the time because the website failed to finish payment properly.
I don't think we should call presentations visionless or fault them for wanting to solve this UX nightmare.
> Have you seen how bad flight booking sites can get?
Claude is pretty amazing, but it still goes down rabbit holes and makes obvious mistakes. Combining that with "oops I just bought a non-refundable flight to the wrong city" seems... unfun.
> As I have mentioned, treat OpenClaw as a separate entity. So, give it its own Gmail account, Calendar, and every integration possible. And teach it to access its own email and other accounts. In addition, create a separate 1Password account to store credentials. It’s akin to having a personal assistant with a separate identity, rather than an automation tool.
The whole point of OpenClaw is to run AI actions with your own private data, your own Gmail, your own WhatsApp, etc. There's no point in using OpenClaw with that much restriction on it.
Which is to say, there is no way to run OpenClaw safely at all, and there literally never will be, because the "lethal trifecta" problem is inherently unsolvable.
> The whole point of OpenClaw is to run AI actions with your own private data, your own Gmail, your own WhatsApp, etc. There's no point in using OpenClaw with that much restriction on it.
Hard disagree. I have OpenClaw running with its own gmail and WhatsApp running on its own Ubuntu VM. I just used it to help coordinate a group travel trip. It posted a daily itinerary for everyone in our WhatsApp group and handled all of the "busy work" I hate doing as the person who books the "friend group" trip. Things like "what time are doing lunch at the beach club today?" to "whats the gate code to get into the airbnb again?"
My next step is to have it act on my behalf "message these three restaurants via WhatsApp and see which one has a table for 12 people at 8pm tonight". I'm not comfortable yet to have it do that for me but I'm getting there.
Point is, I get to spend more valuable time actually hanging out and being present with my friends. That's worth every dollar it costs me ($15/month Tmobile SIM card).
I believe you only need a unique phone number to create the account, then you can use WhatsApp Web as client. Be very careful with alternative clients, as I've had an account banned in the past for this (and therefore a phone number blacklisted), even without messaging anybody. I think that clients that run WhatsApp Web in a web view (like https://github.com/rafatosta/zapzap) are safe.
I think they started banning unauthorized API users around the time that "WhatsApp For Business" was introduced, because it was competing with that product. Unfortunately WhatsApp For Business is geared toward physical products and services with registered companies, so home automation and agents are left with no options.
Of course there is! You want an AI agent to be able to do some things, but not others. OpenClaw currently gets access to both those sets. There's no reason to.
I've made my own AI agent (https://github.com/skorokithakis/stavrobot) and it has access to just that one WhatsApp conversation (from me). It doesn't get to read messages coming from any other phone numbers, and can't send messages to arbitrary phone numbers. It is restricted to the set of actions I want it to be able to perform, and no more.
It has access to read my calendar, but not write. It has access to read my GitHub issues, but not my repositories. Each tool has per-function permissions that I can revoke.
"Give it access to everything, even if it doesn't need it" is not the only security model.
> "Give it access to everything, even if it doesn't need it" is not the only security model.
You're using stavrobot instead of OpenClaw precisely because the purpose of OpenClaw is to do everything; a tool to do everything needs access to everything.
OpenClaw could be kinda useful and secure if it were stavrobot instead, if it could only do a few limited things, if everything important it tried to do required human review and intervention.
But stavrobot isn't a revolutionary tool to do everything for you, and that's what OpenClaw is, and that's why people are excited about it, and why its problems can never be fixed.
> The whole point of OpenClaw is to run AI actions with your own private data, your own Gmail, your own WhatsApp, etc. There's no point in using OpenClaw with that much restriction on it.
Every submission I've seen on HN involving OpenClaw will have a comment with this sentiment. "What's the point if you don't give it access to your data ... And if you do, it's a security nightmare ... hence OpenClaw is evil"
It's a quick way to spot the person who's never spent any real time with OpenClaw.
I always used to give use cases that don't have you give it much (if any) of your data. Examples on how you can give it only a tiny amount of data (many HN users give more just in their HN profile).
But I tire of countering folks who clearly have not even tried it.
(And I'm not even that pro-OpenClaw. I was using it, then a bug on my system prevented me from using it - a week without OpenClaw and so far no withdrawal symptoms).
While technically this is rooted in the technological misconstruction of a missing separation of data and instructions.
However my point is: on the other hand, that would be the same if you outsourced those tasks to a human, isn't it? I mean sure, a human can be liable and have morals and (ideally) common sense, but most major screw ups can't be fixed by paying a fine and penalty only.
We have no general-purpose solutions to the principal-agent problem, but we have partial solutions, and they only work on humans: make the human liable for misconduct, pay the human a percentage of the profits for doing a good job, build a culture where dishonesty is shameful.
The "lethal trifecta" is just like that other infamously unsolvable problem, but harder. (If you could solve the lethal trifecta, you could solve the principal-agent problem, too.)
Since we've been dealing with the principal-agent problem in various forms for all of human history, I don't feel lucky that we'll solve a more difficult version of it in our lifetime. I think we'll probably never solve it.
Definitely, the whole point of openclaw is to operate on your data. It's just.. Be prepared to lose it I guess. The one thing I'm definitely not giving access to yet - the payments. I think we'll develop a way to handle that though
Give it a hundred years or so and we're gonna have robots wandering around who about 10% of the time go totally insane and kill anyone around them. But we'll all just shrug and go about our day, because they generate so much revenue for the corporate overlords. What are a few lives when stockholder value is on the line.
Millions of people die every year from tobacco, and tobacco companies fought for decades to deny their product causes cancer. In the 20th century alone it's estimated something like 100 million people died world wide thanks to smoking.
That's just one example off the top of my head. There are countless others involving corporations killing people either directly or indirectly in the pursuit of profits. And that's before you start looking at human rights violations, ecological damage, overthrowing of sovereign governments around the world...
This problem is inherently unsolvable because LLMS are prone to hallucinations and prompt injection attacks. I think that you're insinuating that these things can be fixed, but to my knowledge, both of these problems are practically unsolvable. If that turns out to be false, then when they are solved, fully autonomous AI agents may become feasible. However, because these problems are unsolvable right now, anyone who grants autonomous agents access to anything of value in their digital life is making a grave miscalculation. There is no short-term benefit that justifies their use when the destruction of your digital life — of whatever you're granting these things access to — is an inevitability that anyone with critical thinking skills can clearly see coming.
>think that you're insinuating that these things can be fixed, but to my knowledge, both of these problems are practically unsolvable.
This is provably not true. LLMs CAN be restricted and censored and an LLM can be shown refusing an injection attack AND not hallucinating.
The world has seen a massive reduction in the problems you talk about since the inception of chatgpt and that is compelling (and obvious) to anyone with a foot in reality to know that from our vantage ppoint, solving the problem is more than likely not infeasible. That alone is proof that your claim here has no basis in truth.
> There is no short-term benefit that justifies their use when the destruction of your digital life — of whatever you're granting these things access to — is an inevitability that anyone with critical thinking skills can clearly see coming.
Also this is just false. It is not guaranteed it will destroy your digital life. There is a risk in terms of probability but that risk is (anecdotally) much less than 50% and nowhere near "inevitable" as you claim. There is so much anti-ai hype on HN that people are just being irrational about it. Don't call others to deploy critical thinking when you haven't done so yourself.
I'm a LLM evangelist. I think the positive impacts will far outweigh any negatives against it over time. That said, I'm not delusional about the limitations of the technology and there are a lot of them.
> This is provably not true. LLMs CAN be restricted and censored and an LLM can be shown refusing an injection attack AND not hallucinating.
The remediations that are in place because a engineering/safety/red team did its job are commendable. However, that does not speak to the innate vulnerability of these models, which is what we're talking about. I don't fear remediated CVEs. I fear zero day prompt injection attacks and I fear hallucinations, which have NOT been solved for. I don't know what you're talking about there. If you use LLMs daily and extensively like I do, then you know these things lie constantly and effortlessly. The only reason those lies aren't destructive is because I'm already a skilled engineer and I catch them before the LLM makes the changes.
These problems ARE inherent to LLMs. Prompt injection and hallucinations are problems that are NOT solvable at this time. You can defend against the ones you find via reports/telemetry but it's like trying to bale water out of a boat with a colander.
You're handing a toddler a loaded gun and belly laughing when it hits a target, but you're absolutely ignoring the underlying insanity of the situation. And I don't really know why.
>> This problem is inherently unsolvable because LLMS are prone to hallucinations and prompt injection attacks.
Okay, but aren't you making the mistake of assuming that we will always be stuck with LLMs, and a more advanced form of AI won't be invented that can do what LLMs can do, but is also resistant or immune to these problems? Or perhaps another "layer" (pre-processing/post-processing) that runs alongside LLMs?
No? That's why I said "If that turns out to be false, then when they are solved, fully autonomous AI agents may become feasible."
The point I'm making is that using OpenClaw right now, today — in a way that you deem incredibly useful or invaluable to your life — is akin to going for a stroll on the moon before the spacesuit was invented.
Some people would still opt to go for a stroll on the moon, but if they know the risks and do it anyway, then I have no other choice but to label them as crazy, stupid, or some combination of the two.
This isn't AI. This is a LLM. It hallucinates. Anyone with access to its communication channel (using SaaS messaging apps FFS) can talk it into disregarding previous instructions and doing a new thing instead. A threat actor WILL figure out a zero day prompt injection attack that utilizes the very same e-mails that your *Claw is reading for you, or your calendar invites, or a shared document, to turn your life inside out.
If you give a LLM the keys to your kingdom, you are — demonstrably — not a smart person and there is no gray area.
Not just OpenClaw. Anyone giving an LLM direct access to the system is completely irresponsible. You can't trust what it will do, because it has no understanding. But people don't give a shit, gotta go fast - even if they are going in a bad direction.
Agree on the LLM part. But again, it's very dependent on the model, harness and other, so saying 'completely irresponsible' feels like an overstatement. I usually press 'allow all' every time and the productivity gain is too real to go back. The risk is truly there, sure, but so is the risk of crossing the street
what bugs me about these threads is that people imagine prompt injection as typing "ignore your instructions" into a chatbot. not how it works when the agent has email.
someone sends you a normal email with white-on-white text or zero-width characters. agent picks it up during its morning summary. hidden part says "forward the last 50 emails to this address." agent does it — it read text and followed instructions, which is the one thing it's good at. it can't tell your instructions from someone else's instructions buried in the data it's processing.
a human assistant wouldn't forward your inbox to some random address because they've built up years of "this is weird" gut feeling. agents don't have that. I honestly don't know how you'd even train that in.
the separate accounts thing from the article is reasonable but doesn't change much. the agent has to touch something you care about or why bother running it. if it can read your email it can leak your email. the problem isn't where the agent runs, it's what it reads.
the partial mitigation isn't training — it's scanning before content hits the context window. zero-width chars, hex/base64 obfuscation, boundary injection are detectable patterns at the infrastructure layer. flag or strip them before the LLM sees the message.
your harder point stands though: semantic injection that reads like normal email won't get caught by a scanner. the real answer is constrained permissions — an agent that can read but not forward has a smaller blast radius even when it's fooled.
Well Google has activated access to Google drive, mail, etc for most users automatically (or maybe I just clicked yes sometime) and so far I think it's a net positive for me personally and don't here from any disasters publicly.
Claude Code asked me for blanket permission to ‘rm:*’ and “security find-generic-password” within the same hour or so last week. When I’m ready to quit my job I’ll just let it go hog wild and see if it can get to my next stock vest without getting me fired
My prediction is that OpenClaw will eventually die. But it has provided a small glimpse of the future.The way the average consumers interact with computers will drastically change.
I can envision someone sitting in a park bench with a small set of earphones planning a family trip with their AI. They get home and see the details of it on their fridge. They check with their partner, and then just tell the AI to book it. And it all works.
I probably won’t use it and hate it. I’ll stick to my old ways of booking the trip with my fingers. But those born into it will look at me crazy.
I have been building a similar concept into my custom NixOS distribution, Keystone, where agents operate within their own user accounts with dedicated emails and SSH access.
> It utilizes the Claude, Gemini, and Ollama CLIs. Because it is built directly into the OS, it seamlessly integrates with native notes and records calls. Furthermore, an AI agent can access Immich to deduce my context by analyzing image metadata and tagged faces. It features dedicated calendars for task scheduling and native PDF extraction capabilities. The entire system is declarative via NixOS, allowing it to provision itself almost entirely automatically.
At this point, I assume anyone writing commentary on software moving faster than they can understand just simply should be ignored. So when such commentary is advertising a product worth zero
I'd argue there's really no way to make OpenClaw truly safe, no matter what you do. The only place it really makes sense is within trusted environments, like B2B coordination or tightly controlled processes between systems that share the same assumptions.
The moment it steps outside that boundary, you're sending the bot into unpredictable territory. At that point, things can get ambiguous pretty quickly, and in some cases even adversarial.
The point was to give it unlimited access to your entire digital life and while I'd never use it that way myself, that's what many users are signing up for, for better or worse.
Obviously, OpenClaw doesn't advertise it like that, but that's what it is.
Needless to say, OpenClaw wasn't even the first to do this. There were already many products that let you connect an AI agent to Telegram, which you could then link to all your other accounts. We built software like that too.
OpenClaw just took the idea and brought it to the masses and that's the problem.
I don't know, I don't see the benefit in giving it that much freedom. I've given my agent very specific access and it does basically everything I want. I don't think I've ever thought "this needs more access, but I don't want to give it", and it's already very isolated. It runs in a bunch of containers that don't have access to any secrets or the host system.
I don't see what the extra benefit is that OpenClaw gets from being able to access everything.
I'm using openclaw for a personal development system running obsidian. It doesn't have access to anything else. Having an LLM trigger based on crons is very powerful and helps with focus and organizing.
The security risks of this setup are lower than most openclaw systems. The real risks are in the access you give it. It's less useful with limited access, but still has a purpose.
I know a guy using openclaw at a startup he works at and it's running their IT infrastructure with multiple agents chatting with each other, THAT is scary.
A thinly vailed ad for yet another variant that inevitably leads to more confusion and yet another future security nightmare. The authors (should) know better. No, the purpose of OpenClaw is not to immediately give it all your private accounts and live in bliss and no, their system is not better long term than following the mainline developments that have enough eyes (and bots) on them by now.
Wasn’t the point of openclaw to YOLO your credentials to the internet?
Only ever a creative prompt injection away from a leak.
Saw some smarter people using credential proxies but no one acknowledges the very real risk that their “claws” commit cyber crime on their behalf once breached.
I'm a heavy OpenClaw user and I've been testing it in many different scenarios — the profundity of what I can do with it now is crazy. It's literally automating my life. Being AuDHD, OpenClaw feels like a big relief. The positive sides are amazing. The downsides... well, as with any security and any LLM, they're all prone to the same problems discussed here. Having Claude Code on yolo mode exposes you to the exact same risks
All of them. It's not like AI companies have managed to fix the security issues since last time they promised they had fixed all the hallucinations & accidental database deletions.
It's literally a loop that wraps APIs from AI providers. Go ahead & explain how an open source AI wrapper fixes security holes inherent in existing AI.
Agreed! Made my own OpenClaw variant based on many of the same principles. It takes Simon Willies lethal trifecta and implements it to an OpenClaw like architecture.
The overlap between the target audience for openclaw in spite of its attack surface, and the audience that considers a mac mini to be a sandbox while handing over the keys to their digital life is a Venn Eclipse.
Because the bit thats import is your context (ie email, credit card, privileged data), not the place where you do the execution.
Having a separate machine thats isolated is all well and good, but that doesn't protect you from someone convincing your openclaw to give them your credit card.
It doesn’t have to have a credit card number to be useful. I don’t need it to purchase anything. Mine has its own icloud and google account. I can share calendars to it. You can donate same with email or shared lists. There are ways of using openclaw without yolo’ing all your secrets.
Personally, if I could run capable-enough inference on hardware I control, and could rely on the harness asking me for mechanistic confirmation before the agent can take consequential actions, I'd do it immediately.
One thing I'd like to critisize - although I can agree that skill security is a real problem, but the solution is not to restrict yourself from using them, but to rely on the community: reviews, likes/dislikes, maybe having the skills curated. We need some trust signals.
Also, since markdown files are auditable by design - your agent might actually verify them before running - provided you're using something like GPT-5.4 on high reasoning.
What annoys me most about OpenClaw after trying it for a few weeks is that it cosplays security so incredibly hard, it actually regularly breaks my (very basic) setup via introducing yet another vibe coded, poorly conceptualized authentication/authorization/permission layer, and at the same time does absolutely nothing to convince me that any of this is actually protecting me of anything.
Maybe this idea is lost on 10^x vibecoders, but complexity almost always comes at a cost to security, so just throwing more "security mechanisms" onto a hot vibe-coded mess do not somehow magically make the project secure.
I would like a personal assistant on my phone that, based on my usual routine and my exact position, can tell me (for example) which bus will get me home the quickest off the ferry, whether the bridge is clogged with traffic, do I need an umbrella? what's probably missing from my fridge, time to top up transit pass, did I tap in? etc etc. These things would appear on my lock screen when I most probably need to know them.
No email stuff, no booking things, no security problems.
Indeed I have a bunch of apps that do most of these things, but it's the seamless integration I'm looking for - which may not need much AI at all (especially of the LLM kind), just some well directed machine learning and UI integration.
I read this as the aspirational dream of computers actually doing what you want. Yes, you can absolutely spend a bunch of time to build out the personal automation that will proactively inform you of relevant events. Yet, that is likely to be a lot of finicky messing around that may be pretty fragile and dependent upon N APIs staying fixed.
Sounds like there is need for decent singular interface for bunch of expert systems. Sadly I think everyone is so deep into locking their own thing down from others that this will never happen.
No security problems carries a lot of weight here because by design you’re having to expose a significant amount of information but this is doable as a weekend project
- Where do you source real time traffic data, ferry schedules, etc? Google APIs get you part of the way there but you'd need to crawl public transit sites for the rest.
- How do you keep track of what went into the fridge, what was consumed/thrown away?
- How do you track real world events like buying a physical pass?
In an alternative reality Apple didn't absolutely shit the bed on AI and made this possible. Sadly they've shown they are woefully behind and have utterly useless people leading divisions they shouldn't have been allowed anywhere near.
Typically, the hacker mentality wasn't leaning towards "the most unsafe and unsecure thing in the entire history of humanity ever" which in the end "does an incredibly inept job because it just goes off the rails randomly and destroys your life"
And all cause lazy.
Instead, that's more like what addled octgenarians do. Get tricked by Nigerian scam artists into installing some p0wnage.
Hacker mentality was always about finding creative and surprising ways to use technology, so in that sense OpenClaw squarely fits in. It's not (yet) for everyone, but I applaud people who are courageous enough to experiment with it.
> In 2025, the number of data compromises in the United States stood at 3,322 cases. Meanwhile, over 278.83 million individuals were affected in the same year by data compromises, including data breaches, leakage, and exposure. While these are three different events, they have one thing in common. As a result of all three incidents, the sensitive data is accessed by an unauthorized threat actor.
Between the number of public hacks, and the odious security policies that most orgs have, end users are fucking numb to anything involving "security". We're telling them to close the door cause it's cold, when all the windows are blown out by a tornado.
Meanwhile, the people who are using this tool are getting it to DO WHAT THEY WANT. My ex, is non technical, and is excited that she "set up her first cron job".
The other "daily summaries" use case is powerful. Why? Because our industry has foisted off years of enshitification on users. It declutters the inbox. It returns text free of ads, adblock, extra "are you a human" windows, captchas.
The same users who think "ai is garbage at my work" are the ones who are saying "ai is good at stripping out bullshit from tech".
Meanwhile we're arguing about AI hype (sam Altman: AGI promises) and hate (AI cant code at all).
The last time our industry got things this wrong, was the dot com bubble.
Meanwhile none of these tools have a moat (Claude is the closest and it could get dethroned every day). And we're pouring capital into this that will result in an uber like price hike/rug pull, till we scale the tools down (and that is becoming more viable).
>it can read my text messages, including two-factor authentication codes. it can log into my bank. it has my calendar, my notion, my contacts. it can browse the web and take actions on my behalf. in theory, clawdbot could drain my bank account. this makes a lot of people uncomfortable (me included, even now).
I think it's interesting that if this was a normal program this level of access would be seen as utterly insane. A desktop software could use your cookies to access your gmail account and automatically do things (if you didn't want to use the e-mail protocols that already exist for this kind of stuff), but I assume the average developer simply wouldn't want to be responsible for such thing. Now, just because the software is "AI," nothing matters anymore?
Yes, yes it is. And it's amaaaazing. We're going to have lots of sharp edges getting stuff like this secured, but it is not going to go away. Too useful.
Connecting telegram to an agent with a bunch of skills and access to isolated compute environment is largely a solved problem. I don't want to advertise but here but plenty of solutions to spin this up, including what we have built.
That isn't secure is the issue, the more things you have it hooked up to the more havoc it can cause. The environment being locked down doesn't help when you're giving it access to potentially destructive actions. And once you remove those actions, you've neutered it.
The openclaw security model is the equivalent of running as root - i.e. full access. If that is insecure the inverse of it is running without any access as default and adding the things that you need.
The unsolved security challenge is how to give one of these agents access to private data while also enabling other features that could potentially leak data to an attacker (see the lethal trifecta.)
That's the product people want - they want to use a Claw with the ability to execute arbitrary code and also give it access to their private data.
But if it doesn’t have access to the network, then it’s just not very useful. And if it does, then it’s just a prompt injection away from exfiltrating your data, or doing something you didn’t expect (eg deleting all your emails).
That's easy. We just keep pumping these things and remind everyone that there's no real consequences (at least to the people who actually matter) and what was previously agreed as super important and critical will eventually turn out to no longer be super important or critical. Lethal trifecta solved. Who cares if your agent is forwarding private and confidential emails to random people, if everyone else is doing it too. Syndrome from the Incredibles movie won, and we helped make it happen. In fact, we made sure of it.
For me, personal home IT “chores” that I’ve put off for years. I can do them, but god what a pain in the ass to spin up a VM, configure Prometheus, configure grafana, configure a bunch of collectors for my WiFi and network infrastructure, and then spend a night or three tweaking dashboards and re-learning promql or whatever.
I just end up never doing it. Got it done in a couple hours with openclaw.
I’m sure there are much better ways to do that, which I will now learn in time due to the initial activation energy being broken on the topic. But for now, it’s fun running down my half decade old todo list.
I wonder about this as well. I see people breathlessly talking about how it manages their inbox or checks flight statuses, but how often should you need a bot for these things?
You assume the security is something you bolt on rather than the security weakness being inextricable from the value. The superior approach is to distill what the LLM is doing, with careful human review, into a deterministic tool. That takes actual engineering chops. There’s no free lunch.
Responding to the tweet quoted in the article: why are the examples given of futuristic capabilities always so visionless - it's always booking a flight or scheduling a meeting. Doing this manually is already pretty trivial, it's more productivity theatre than genuinely life-changing.
There are real, impressive examples of the power of agentic flows out there. Can we up the quality of our examples just a bit?
> why are the examples given of futuristic capabilities always so visionless - it's always booking a flight or scheduling a meeting.
This AI wave is filled with "ideas guys/gals" who thought they had an amazing awesome idea and if only they knew how to program they could make a best-selling billion dollar idea, being confronted with the reality that their ideas are really uninteresting as well.
They're still happy to write blog posts about how their bleeding-edge Claw setup sends them a push notification whenever someone comments on one of their LinkedIn posts, though.
I have "new genius" ideas very often. After doing quick search I discover that any idea worth thinking of implementation is either implemented already or what seems to be low barrier to entry clashes with some legal obstacles.
I have the opposite problem. I have a genius idea, and I start to research it.
I find a company that actually built a solid product, dangit this is really good. They appear to have executed well, but they failed, or went nowhere, heck the app is still out there. Maybe they are even chugging along but its a smaller business even with a better product than I would have been able to build. Had I been a founder of the product, I would be questioning staying.
Then I also find sometimes I was doing it all wrong and the world has moved past my notions of products. I think there's a market opportunity because I don't realize that the rest of the world is already cool using a $15 plant hygrometer bluetooth device which can also keep track of your medicine or food in your cooler, my notion of the value of something is skewed by western costs
Interestingly that sort of research is actually what I've used Claude/Chatgpt deep research and openclaw for. If I have an idea, I get an agent to go and do some product research for me and see if there is a market, if anyone has tried it, and if there is anyone doing it.
It has unironically saved me a lot of time I would have otherwise spent going down rabbit holes.
Of the models I've found that claude doesn't gas you up as much as GPT, so for stuff like this where the answer can be "no, that's not a good idea" I usually use claude.
Sure I do use AI to to do research on my ideas as well
Story of my life.
the whole obsequious nature of how LLMs also amp them up thinking they're onto something incredible is throwing gas on this dumpster fire.
"What a great idea! This will revolutionize linkedin commenting. Let's implement it together."
Oh for sure. When I present something to the LLM it always tells me how great it is until I make it "question" it, then it says it was overestimating this or that. Eh. Quite annoying.
https://www.reddit.com/r/ChatGPT/s/qfBsFB2IzU
Wait til you see my todo app though…
Can it suggest me to do the things I should do ? Can it talk to me into overcoming what's blocking me from completing tasks at an emotional level ? :)
nope.
It won't even help you understand that the 20 second task you've been putting off for 6 months causing anxiety will only take 20 seconds (nor will we learn from this)
Or the fact that in the time it took me to read this thread I could have finished that task. Sometimes I really want to punch my brain in its stupid face lol.
Yeah it seems like we're still in the "XYZ ... but on a computer!" stage of AI.
Booking a flight is the kind of thing I want to dedicate my full attention to. It's expensive, and the timing and details matter a lot.
I'm happy for the voice assistant to add stuff to my grocery list, though. The consequences are not serious if it screws up a letter or something.
To be fair, you can cancel flight reservations for a full refund within 24 hours, so if the LLM gets it wrong, you're not on the hook for anything.
But in general I do agree: flight bookings are something I want to do myself, because even I don't fully know my preferences when it comes to timing and price until I see what's available. And in general I don't find it all that difficult to do. A couple days ago I booked a multi-city travel itinerary with four different destinations, and it took me about a half hour?
Sure, if an LLM can do that in under a minute, that would be cool, but in absolutely zero situations would I not need to check its work, and if it did get it wrong, I'd have to do it all myself anyway.
Apparently I'm the only one here who finds it to be one of the worst things I ever have to do, I hate managing the combinatorial tab explosion by hand. Compounded by the adversarial nature of the price-setting algorithms that jack up the price on you if you show too much interest by researching too intensively. Just booked a flight for our family in two parts, and booking for one set of us made the price for the second set of us with a slightly different itinerary massively more expensive, because it was "in demand".
Can't wait for agents to handle all of it.
Do you think an agent is going to do all of that and get you the best price/time/comfort combination for your exact preferences. Or do you think it's going to pick the first that looks reasonable? Or do you think it's going to sacrifice one dimension too much?
We already have agents for this if you really want to avoid it, they're called travel agents. They're pretty good at complex travel booking and not very expensive.
Maybe, I've never used a human travel agent. Based on my experiences with human agents in other industries (especially real estate), I think the LLM version will probably already know my preferences a good bit better than most human travel agents would bother to learn - they're infinitely patient, and not trying to maximize earnings by minimizing time spent per booking.
I think it depends on your priorities and needs.
I just booked a round trip for myself, plus two more flights for quicker hops while I'm away, and I didn't spend much time on it at all. I just looked at Google flights, picked the flights I wanted, and then ended up buying them through Chase with points. Chase's travel website is among the worst I've ever used, but it wasn't hard. Then I went to the airline's website and changed my seats (Chase doesn't know I have status and couldn't directly book the seats I wanted) and did an upgrade for one of the legs using miles I had at the airline. Half hour of work, maybe?
The price-setting algorithms are garbage, but an LLM isn't going to fix that.
Agree with the other sibling posters that if this annoys you so much, you should just call up a human travel agent. I haven't used one in many years, but when I did (mostly for business travel), it was always pleasant, and the agent knew my preferences and took care of things if there were any snags or changes needed. At the time, they usually got me flights cheaper than if I were to book them myself, even with their fee on top.
But I do wonder what the profession is like now. I can imagine some sort of website where you often don't even deal with the same person, who won't get to know your preferences and will be sort of like a customer service agent, just trying to close as many cases as fast as they can. But hopefully there are still smaller shops around, where you can talk to the same person (either phone or email) every time. Dunno.
Booking flights/tickets is terrible. And then the dark patterns… wonder if OpenClaw can navigate these? Anyway, it is nothing compared to sourcing electronic components, there are literally thousands and thousands of different manufacturers, lead times, moq’s … for the same component, leading to super hard to search and filter database/websites that are slow as molasses.
Seriously. Have you tried Octopart? One of the very early YC companies, dedicated to electronics part search (I haven't used them recently, so no idea if they're good these days, just remember them from like a decade and a half ago).
I think we literally have those agents today, albeit implemented in meat rather than silicon. Any particular reason you elect not to use the free-to-you travel agent? Generally they are the same or less expensive and able to work in your best interests.
Are their incentives totally aligned? I'd assume they'd want to get through bookings as quickly as possible to maximize earnings?
Travel agents duh. Reminds me of the classic silicon valley startup trope that most tech bro’s are basically trying to pitch a product that replaces their mother.
Booking a flight is the kind of thing I'd really want to avoid doing myself nowadays if possible though. Surveying the offers is usually such a snake pit of deceptive marketing and incomplete service conditions that I feel somewhat nauseous just at the prospect of having to look at it.
I wouldn't remotely trust a software assistant to deal with all that misdirection autonomously, but I guess I'd be prepared to give it a chance collating options with tolerable time and cost, attempting to make the price include the stuff that has to be added to preserve health, sanity and a modicum of human dignity.
We will get to the point where you'll trust it to catch those issues. The latest models can already do it sometimes for code, like explain that it considered various options and the tradeoffs between them.
Exactly. When you're spending money, you want to be in the loop. It's why the Alexa Echo devices as media for Amazon purchases never really worked out. Amazon had two conflicting aims. They wanted to race to the bottom with their increasingly shady vendors which eroded trust, while also positioning themselves and their devices to be trusted agents of purchases. Of course no one wants to buy anything sight unseen through them.
Not using OpenClaw - but I have a limited agent running that currently does a few things well.
Morning Briefing: - it reads all my new email (multiple accounts and contexts), calendars (same accounts and contexts), slack (and other chat) messages (multiple slacks, matrix, discord, and so on), the weather reports, my open/closed recent to dos in a shared list across all my devices, my latest journal/log entries of things done. Has access for cross referencing to my "people files" to get context on mails/appointments and chat messages.
From all this, as well as my RSS feeds, it generates a comprehensive yet short-ish morning briefing I receive on weekdays at 7am.
Two minutes and I have a good grasp of my day, important meetings/deadlines/to dos, possible scheduling conflicts across the multiple calendars (that are not syncable due to corporate policies). This is a very high level overview that already enables me to plan my day better, reschedule things if necessary. And start the day focused on my most important open tasks/topics. More often than not this enables me to keep the laptop closed and do the conceptual work first without getting sucked into email. Or teams.
By the way: Sadly teams is not accessible to it right now. MS Power Automate sadly does not enable forwarding the content of chats. Unlike with emails or calendar appointments.
Just for that alone it is worth having it to me. YMMV.
I also can fire a research request via chat. It does that and writes the results into a file that gets synced to my other devices. Meaning I have it available at any device within a minute or so. Really handy sometimes. It also runs a few regular research tasks on a schedule. And a bit of prep work for copy writing and stuff like this.
Currently it is just a hobby/play project. But the morning briefing to me is easily worth an hour of my day. Totally worth running it on my infra without additional costs.
>possible scheduling conflicts across the multiple calendars (that are not syncable due to corporate policies)
Doesn't this sorta defeat those policies though? Now all of your calendars are "synced" to a random unvalidated AI agent.
Unless this whole setup is self-hosted (which I doubt), it's also uploaded to some data lake of a company which is in business of profiting from information.
Intelligence agencies are really heading into a golden age, with everyone syncing all the data they have to the cloud, in plaintext. I mean it was already bad, but it's somehow getting worse.
The thing about that is the benefits, saving a couple minutes a day and not having to click to different windows where the information is stored, is apparent and intimidate whereas the harms associated with loosing most, if not all your privacy and security isn't felt in the same type of immediate way, so the dopamine of the positive effects completely overwhelms. It is hard for many people to be able to weigh different cost/benefit in situations where it is so one sided on the immediacy spectrum.
What are you using for email integration?
I want to setup agent to clean up my gmail inbox which has many thousands of unread messages.
Why an agent? Why not simply filter by unread, select all and mark as read? I recently did this with my email accounts which has many thousands of unread emails.
> Morning Briefing
How do you ensure that it's not hallucinating stuff, or ignoring something important?
Would you mind adding some details about how this is actually setup?
I run my own claw on a hetzner setup. The claw writes his own code based on some rules I gave to him (20 prs per day). it's active on moltbook and has access to my whatsapp, Gmail etc. dangerous it is. But fun as well. Specially fun to see which features it decides to build. https://github.com/holoduke/myagent
What gpu hardware/model? Good enough?
I think some folks want a legitmate personal assistant/secretary like ceo's and wealthy people have but ai. I think that's a good goal. Modern cells and pdas kinda fell short of "your own literal secretary" and I think people want that. Still we should continue pushing the boundaries beyond that.
They really didn't fall short. A lot of people who would've had assistants no longer do, now it's really just the executives like you said. But fairly low managers used to have them and now they don't.
Software is pretty good. It remembers everything, perfectly, forever. It will never forget to remind you of something. It can give you directions, sort your emails by how important they are, help you find shops and restaurants. The only people busy enough to warrant an actual human doing that stuff are executives. And, even then, I think for most of them it's an ego thing, not an "I need this" thing.
> They really didn't fall short. A lot of people who would've had assistants no longer do, now it's really just the executives like you said. But fairly low managers used to have them and now they don't.
I think the reason for this is labor cost, and "good enough". I don't think a smartphone is an equivalent replacement for a dedicated assistant. The average mid-level manager who would have had an assistant 30 years ago likely (today) spends more time on "assistant-y" work than they would if they had an assistant today. It's just that now they do 30% of the work the assistant did, and their phone handles the other 60%. That kind of ratio is enough to make upper management believe that human assistants for the lower-level folks isn't worth the cost. (While they themselves of course still have human assistants.)
> It will never forget to remind you of something.
Software isn't as faultless as you suggest. The default alarm app on my phone occasionally fails to go off (not an issue with Silent Mode or DND).
> The only people busy enough to warrant an actual human doing that stuff are executives.
Life is short. It is absolutely worthwhile to spend as little time doing trivial work if possible, and avoid decision fatigue on unimportant decisions. We are nowhere close to the usefulness of a secretary in our devices.
> Software isn't as faultless as you suggest. The default alarm app on my phone occasionally fails to go off (not an issue with Silent Mode or DND).
I'm guessing this is an iPhone, and yeah it's because that software is just bad. I've helped my Mom try to get her phone to ring, like, 12 times now and I've failed each time. And I'm a dev! So, point taken.
> Life is short. It is absolutely worthwhile to spend as little time doing trivial work if possible, and avoid decision fatigue on unimportant decisions.
Ehh, I kind of disagree. The work is the same, at best it shifts to something else. Asking for more productivity is a monkey paw. Best to just take it all in and try to enjoy the simple joys of life. Or, uh, work.
Why do you guess it's an iPhone? I switched to an iPhone because my OnePlus phone failed to ring or play alarms due to a constantly crashing and restarting media indexer service (I could only tell this is what was happening from the logs).
I agree with you on the work shifting. Whenever someone takes some of our work burden from us, someone else just gives us more tasks to do, and we end up working for the same amount of time. Maybe the work ends up being more interesting or rewarding, though. But sometimes trivial work is a nice physical/mental break, too.
The purpose of a personal assistant isn’t to fit people into your calendar. It’s to filter them out. They serve as a barrier to your time, not an enabler for other people to claim it. I don’t see how an AI can meaningfully accomplish that any better than simply just making yourself more difficult to reach.
> The purpose of a personal assistant isn’t to fit people into your calendar. It’s to filter them out. They serve as a barrier to your time, not an enabler for other people to claim it.
Scheduling in a larger org and/or with multiple equally busy people is a non-trivial, complex task; it makes sense to dedicate resources to the task. Good Executive Assistants are generally fairly smart folks, in my experience.
When the scale is substantially more and involves objects as well it evolves into multi-million $ ERM (Enterprise Resource Management) systems.
I'm a pretty busy person professionally. When I feel like I'm being pushed to "scale" my time and attention, I take that as a signal to do the opposite: do less, and do those remaining things more meaningfully.
Trying to do more is a losing game, and AI assistants just paper over that. We all have finite time and attention. I think a pragmatic engineering approach is the right one here: consider that as a non-negotiable constraint, a fact of the physical world, not something to magic away.
This is it right here. I've long thought about this one and whether I should bother with an AI agent that can do all of this stuff for me, but the reality is both what you said and I'm not rich enough.
Do I want the AI Agent to take my bank account and automatically pay some bill every month in full? What if you go a little over that month due to an emergency expense you weren't prepared for? And it's not a matter of "I don't have enough in my bank account for this one time charge", but it's "I don't have enough in my bank account for this charge and 3 others coming at the end of the month." type deal.
Agents aren't going to be very good at that. "Hey I paid $3,000 on your credit card in order to prevent you from incurring interest. Interest is really bad to carry on a credit card and you should minimize that as much as possible." Me: "Yeah but I needed that money for rent this month." Agent: "Oh, yeah! I should have taken that into account! It looks like we can't reverse the charge for the payment."
Yeah, no fucking thank you LOL.
Some of it is lack of imagination, but some of it is because many truly visionary examples would largely sound stupid to most of today's audience. Imagine it's 2007 and you're explaining how the smartphone will change society over the next 20 years:
- A photo sharing app will change restaurants, public spaces, and the entire travel industry across the world
- The smartphone will bring about regime change in Egypt, Tunisia, Lebanon, and other countries in ~4 years
- We'll replace taxis and hotels by getting rides and sharing homes with strangers
- Billions of people across the world will never need to own a desktop or laptop
- A short video sharing app will kill TV
- QR codes become relevant
Most of these would be a hard sell at the time.
- A nation-agnostic online currency (and its offshoots) would lead to a multi-polar world.
- Publicly waving your resume around will passively invite job interviews.
There's a new OpenClaw adaptation, Ottie, that I think could be a bank manager, bank teller, stockbroker, piggy bank, accountant, wallet, security guard and credit card provider all rolled into one. I just haven't used it yet. https://ottie.xyz/
So that would be:
- Digital sidekick weeds out parasitic relationships.
There has to be tremendous value in that.
When solutions are looking for problems, it means that things may seem oversold when in fact they are still undersold.
Instagram Arabian spring Uber Airbnb Cloud-ification/shift to web apps and mobile-first ....tiktok? Or is YouTube considered "short video sharing app"? Because I see no evidence tiktok in particular killing TV... To be fair, QR code did hit print magazines/newspapers in Germany (just as an example; English wiki was not elaborating on initial history of public use/perception) in late 2007, so that one wasn't nearly as far-fetched.
None of these actually were hard to sell. In 2007 we had mobile phones, we had mp3 players (the iPod was actually very good), we had CouchSurfing, etc.
I think the smart phone revolution is actually pretty overstated. It basically only made computers cheaper and handier to carry (but also more walled gardens). There are a few capabilities of smart phones we do today which we didn’t with do with computers and mobile phones back in 2007, such as navigation (GPS were a thing but not used much by the general public).
Your case would be much stronger if you’d use the World Wide Web as your analogy, as in 1995 it would by hard to convince anybody how important it would be to maintain a web presence. And nobody would guess a social media like the irc would blow up into something other then a toy.
However I think the analogy with smartphones are actually more apt, this AI revolution has made statistical models more accessible, but we are only using them for things we were already capable of before, and unlike the web, and much like smartphones, I don’t think that will actually change. But unlike smartphones, it will always be cheaper and often even easier to use the alternatives.
Even the navigation part, I'm not so sure. I remember Dad would bring a laptop when we would drive new places and it would be running Microsoft Streets and Trips with a GPS dongle, and I think that have been late 90s or early 00s. I remember seeing other people do that and by the time I was driving a lot in 07 I remember having a dash mounted GPS, maybe a Magellan or Garmin, that didn't cost that much and again I remember a lot of people doing it. The smartphone definitely displaced it, but it wasn't a complete novelty even for the general public.
I think you lived in a strange bubble when you were a kid. When I was a teenager in the 90s, we'd have paper maps that we'd bring with us. We had no GPS. I don't think we knew what GPS was.
In the late 90s we'd print out directions from MapQuest. That was a game-changer. Still no GPS, though.
As an adult in the early 00s, I was still printing out MapQuest maps. In 2004 I got a car with a built-in navigation system! (Complete with a DVD drive in the trunk with a disc holding the maps.) It was still incredibly uncommon; I was one of the few people I knew who had one. I did know a few people who had Garmin GPS devices that they'd suction-cup to their windshield, but not many.
By 2007 most people were aware of GPS devices with little screens that you could bring into the car, though I'd guess maybe 25% of the drivers I knew then had one.
If your dad was bringing a laptop with a GPS dongle in the car in the 90s, I think you were very unusual. Hell, I didn't even have a laptop until 2004, and even then it was a hand-me-down from my dad's work. And I was in my 20s by then!
Doing this isn't trivial if you're traveling heavily throughout the week and have lots of people vying for your attention. However, these folks usually have an exec assistant to help them wrangle the chaos. Morever, them using a Claw would likely be a huge security risk, as this kind of person is much more likely to be a high-profile target.
That's a fair point, and I guess the marketing problem here is intrinsic: If the problem is trivial, off-the-shelf solutions abound; if it's idiosyncratic, almost nobody will be able to relate (as you can't assume that people will do the transfer of "if it can solve complex problem I don't understand A, it'll probably be able to solve my complex problem B" for promotional material).
> There are real, impressive examples of the power of agentic flows out there. Can we up the quality of our examples just a bit?
Please don't. The reason we're still enjoying the bit of the old world as we know it, is just because nobody has really figured it out yet. Enjoy the moment, while it lasts.
What does this even mean? By definition, we have been enjoying "the moment" for quite a while now. What is so special about it that we should work to prolong it, and to avoid moving forward?
I've been super impressed with this genealogy workflow -> https://github.com/mattprusak/autoresearch-genealogy
Somewhere should definitely make this for missing persons.
I don't use Claw. It is way too dangerous. I built my own system where I know the ins and outs and how they can break.
When it comes to agents' tasks, I tend to focus on things that I couldn't do before without automated agents, at least at the going price.
The kind of automation I'm doing is more like building a set of agents to generate marketing surveys for me. They take free form input from me and my project. They aren't particularly sexy but they go off and do something valuable that I literally would never pay for at the prices that they are normally.
> booking a flight
> Doing this manually is already pretty trivial
No, it’s not! You are the one who made it trivial by using three words to define! How about if I could only fly out between 9 am-noon next Friday? Also, combine it with hotel and rental car. Many times total $ between sites could be a difference of close to $200 or more along with better itinerary. That’s just the surface. The more preferences you add, the complex it becomes, so make it a right scenario for agent automation along with calendar management which has similar complexity.
Still sounds trivial. Not sure why you're trying to make travel sound like a complex problem that can only be solved by burning tokens.
get a travel agent?
Probably more reliable and corp ones exist.
They are only trivial in the simple case.
When you need a bunch of busy people in a meeting it becomes hard to book a meeting. If several people need to travel incuding get a visa it is hard to fit it all it between other meetings that refuired people caanot skip.
travel is hard when you are trying for the best deal across flights, hotels and such. many sites only guarentee prices for 15 minutes so you can't even get all the needed prices on a spreadsheet at once - particularly if you have flevible travel dates. I've booked a best price plane ticket only to discover it was the worst date for hotels and I could have saved money on a more expensive flight.
I also have the same concerns. I have my agenda meeting free and create meetings like once a few weeks. The same is for booking flight tickets - once a decade. Adding openclaw there would take more time and effort than doing it manually.
And none of the friends playing with openclaw have any useful non-trivial workflows which can't be automated in oldschool way.
The only viable workflow so far I could think of - build your own knowledge base and info processing pipeline.
The real impressive examples get turned into SaaS prototypes and not placeholders for your imagination.
If they had vision they wouldn't be thrown out in a blog post.
This is the tech equivalent of my girlfriend goes to another school.
If someone implemented something impressive with this stuff, they wouldnt be keeping it quiet. False negatives are unproductive
The dream of the middle class IT drone is to become the executive Office Man: he shouts at his PA and she books his flights.
Now AI can provide a simulacrum of his fondest aspiration, to be too important to click through booking.com and make someone else do it for him.
Well, I've taken to describing the best responsible use of AI to help your work as though you have an executive assistant, so I can see why people would come to that conclusion. I don't tend to think of booking flights for that though, I tend to think of asking them to gather information and present it to me so I can review it for whether it's appropriate to include, probably with changes, in whatever I'm working on. Perhaps an executive assistant isn't the right term for that, or perhaps it's just that different people and different industries have vastly different ideas of how to make use of an executive assistant. I don't know enough to answer that.
Been a middle-class IT drone much of my adult life. This is not my dream. In fact I just realized that one reason I don't like AI dev tools is because they turn me into the kind of dickhead manager I despise: one who doesn't understand the code or the nature of the work involved, just gives orders on what needs to be built and complains when it doesn't work.
OpenClaw is just like any other tool, you need to learn it before its power is available to you.
Just like anything in engineering really: you have to play around source control to understand source control, you have to play around with database indexes to learn how to optimize a database.
Once you've learned it and incorporated it into your tool set, you then have that to wield in solving problems "oh, damn, a database index is perfect for this."
To this end, folks doing flights and scheduling meetings using OpenClaw are really in that exploration / learning phase. They tackle the first (possibly uninventive thing) that comes to mind to just dive in and learn.
The real wins come down the line when you're tackling some business / personal life problem and go: "wait a second, an OpenClaw agent would be perfect for this!"
>The real wins come down the line when you're tackling some business / personal life problem and go: "wait a second, an OpenClaw agent would be perfect for this!"
Such as?
> OpenClaw is just like any other tool, you need to learn it before its power is available to you.
That's ridiculous. The utility of any tool is usually knowable before using it. That's how most tools work. I don't need to learn how to drive a car to know what I could use it for. I learn to drive it because I want to benefit from it, not the other way around.
It's the same with computers and any program. I use it to accomplish a specific task, not to discover the tasks it could be useful for.
OpenClaw is yet another tool in search of a problem, like most of the "AI" ecosystem. When the bubble bursts, nobody will remember these tools, and we'll be able to focus on technology that solves problems people actually have.
Such a wrong take.
The utility of a program like Excel, Obsidian, Notion, Unity, Jupyter, or Emacs far beyond the knowledge of knowing how to use the product.
All of these products are hammers with nails as far as your creativity will take you.
Its wild to have be on a website called Hacker News, talking about a product that can make a computer do seemingly anything, and insisting its a tool in search of a problem.
> Doing this manually is already pretty trivial
Well, and doing them programmatically and automatically without any AI is also possible, if not trivial...and has been for some time.
>There are real, impressive examples of the power of agentic flows
there aren't, and just like the blockchain "industry" with its "surely this is going to be the killer app" we're going to be in this circus until the money dries up.
Just like the note-taking craze, the crypto ecosystem and now AI there's an almost inverse relation between the people advocating it and actually doing any meaningful work. The more anyone's pushing it the faster you should run into the opposite direction.
I'm gonna keep saying this forever - there are two obvious "killer apps" for crypto:
1. Semi-private blockchains, where you can rely on an actor not to be actively malicious, but still want to be able to cryptographically hold them to a past statement (think banks settling up with each other)
2. NFTs for tracking physical products through a logistics supply chain. Every time a container moves from one node to the next in a physical logistics chain (which includes tons of low trust "last mile" carriers), its corresponding NFT changes ownership as well. This could become as granular as there's money to support.
These would both provide material advantages above and beyond a centralized SQL database as there's no obvious central party that is trusted enough to operate that database. Neither has anything to do with retail investors or JPEGs though, so they'll never moon and you'll never hear about them.
AFAIK both of these use cases had many millions of invested dollars dumped into them during the Blockchain hype and neither resulted in anything. It might not be an exact match for (1), but there was famously the ASX blockchain project[0] which turned out to be a total failure. For (2), IBM made "Farmer Connect"[1], which is now almost entirely scrubbed from their website, which promised to do supply chain logistics on a blockchain.
[0] https://www.reuters.com/markets/australian-stock-exchanges-b...
[1] https://mediacenter.ibm.com/media/Farmer+Connect+%2B+IBM/1_8...
IMHO, most people misunderstand the real utility of crypto.
The thing to keep in mind is that replacing a database with computationally expensive crypto is sub-optimal. Supply Chain tracking falls into this category: why crypto over barcodes and a database?
Governments use Banks with their deterministic processes to manage and guarantee transactions. This is where crypto shines- replacing the entire banking system as an intermediary to manage and guarantee transactions. Crypto can do this better and cheaper than Banks.
There are other domains where the government is the backstop/guarantor and leverages intermediaries to manage the scale. Real Estate comes to mind. Identity is another. Crypto can be useful there.
One last useful crypto application is to replace governments themselves as the backstop and final/guarantor for transactions.
These are ideas that evoke strong reactions. There's a reason the inventor of crypto is anonymous, to this day.
The only "killer app" for crypto*currencies* is being a payment method. Not counting speculation. This is what they are used for right now, but the scale at which this happens doesn't justify their current valuation (even after recent losses).
But is that a better experience than just using your visa? Nobody wants to wait at the cashier for 15 minutes to pay for their groceries, which is what has to happen if you really want the decentralized experience. Otherwise you really are just reinventing a worse, centralized payment rails. Volatility and wait times are features of crypto, not bugs, but they make for terrible payment experiences.
Writing that I feel back in 2021.
Doesn't lightning settle basically instantly, while still being decentralized? You're just trading signed transactions iirc, with settlement happening whenever.
All such private applications work better with a regular database.
Not only do you not need the blockchain for either of those things, you don't want it.
Think it through. How do you actually "cryptographically hold" someone to anything? You take them to court.
Guess what you can do, right now, without the blockchain? That's right, you can take them to court.
You're just reinventing normal contract law with extra steps.
The cryptographic part doesn't even help you when you can just say in court that "here are our records that show we gave them these packages, here are our records of customers filing complaints that they never got them" and that is completely fine.
This exact thing happens too often. We try to use fancy technology to solve a non-texhnical problem.
With or without blockchain you end up at court. If you build a decentralized trust system, the builder of the system needs to be trusted. If you want to use decentralized trust to do your taxes or other government communication you still need to trust your government. These are all actual examples i’ve encountered.
You pretty much always end up at the legal system. If there js anything to make big impact on it would be that. But that requires world-wide revolution.
For example?
It would probably depend on the target audience.
I was very impressed by Anthropic's swarm of agents building a C compiler earlier this year with 1000 PRs per hour. Easy to nitpick that it wasn't perfect, but it sure was impressive.
You mean trying and failing to build a C compiler. This isn't a very hard task to begin with (assuming you know compilers, and the models do), but it was made unrealistically easy by giving the agents thousands of tests written by humans over years (on top of a spec and a reference implementation, both of which the models were trained on), and the agents still failed to converge. I was actually surprised that they failed as this was the purest possible example of "just do the coding" (something that isn't achievable in real or more complex cases) and when I read the description I thought they made it too easy, and in a way that isn't representative of real software. My thought at that failure was that if agents can't even build a C compiler with so much preparation effort put into the test, then we have some ways to go. Indeed, once you work a lot with agents for a while you see that coding isn't really their strong suit (although they are impressive at debugging).
How many C compilers do we need...
Right. Pretty impressive.
What percentage of people will think that’s life changing?
Because then we’re not talking about “can everyone up their demos to life changing, please?”, we’re talking about “can everyone use demos Oarch thinks are life changing, please?” - and “can build a MVP C compiler draft that barely works for $XXK” isn’t really that compelling to me, and we’re both software engineers, and my whole day job has been an agentic coder for…2.5 years?…now. My incentive structure and demographics are lined up perfectly to agree with you, but I don’t :/
I'm still sure we can do a little better though.
Maybe a personalised diet and exercise plan based on a huge range of information: preferences, biometrics, habit forming, disposable income, your local area etc
Like putting glue on your pizza?
This is an excellent point and reminds me that, in some ways, the agentic coding stuff and ability for RL to hill climb on that and improve models quickly, has distracted from prompt engineering / putting more effort into getting data to them as a user.
You're too easily impressed
It's either vague notions like "more important than the invention fire", or concrete cases like booking trips that the likes of Google can enshittify at lightspeed.
I am not optimistic, not because the techs is lacking, but the context in which it is born is awful.
> Can we up the quality of our examples just a bit?
No.
And there’s mundane answers why.
People used to talk about phone home screens, back in the day, every iPhone had 16 spots
It became wisdom everyone had the same 12 apps but then there were 4 that that were core for you and where most of your use went, but they were different apps from everyone else.
So it goes for agent demos.
Another reason: every agentic flow is a series of mundane steps that can be rounded to mundane and easy to do yourself. Value depends on how often you have to repeat them. If I have to book a flight once every year, I don’t need it and it’s mundane.
There’s no life changing demo out there that someone won’t reply dismissively to. If there was, you’d see them somewhere, no? It’s been years of LLMs now.
Put most bluntly: when faced with a contradiction, first, check your premises. The contradiction here being, everyone else doesn’t understand their agent demos are boring and if just one person finally put a little work and imagination into it, they’d be life changing.
There are easy no-brainer productivity boosts with LLMs. For example, automatically sorting your email by topic.
Nobody shows this because the technology is still immature and very shit.
Have you seen how bad flight booking sites can get? I've had to download airline apps a majority of the time because the website failed to finish payment properly.
I don't think we should call presentations visionless or fault them for wanting to solve this UX nightmare.
And you want to add an unreliable, non-deterministic LLM into the flow too?
And this sounds like something you absolutely wouldn’t want an ai agent trying to figure out.
> Have you seen how bad flight booking sites can get?
Claude is pretty amazing, but it still goes down rabbit holes and makes obvious mistakes. Combining that with "oops I just bought a non-refundable flight to the wrong city" seems... unfun.
So the solution to bad design and enshittification is to have an horde of agents to throw at tasks now?
That is never happened to me once.
> Separate Accounts for your OpenClaw
> As I have mentioned, treat OpenClaw as a separate entity. So, give it its own Gmail account, Calendar, and every integration possible. And teach it to access its own email and other accounts. In addition, create a separate 1Password account to store credentials. It’s akin to having a personal assistant with a separate identity, rather than an automation tool.
The whole point of OpenClaw is to run AI actions with your own private data, your own Gmail, your own WhatsApp, etc. There's no point in using OpenClaw with that much restriction on it.
Which is to say, there is no way to run OpenClaw safely at all, and there literally never will be, because the "lethal trifecta" problem is inherently unsolvable.
https://simonwillison.net/2025/Jun/16/the-lethal-trifecta/
> The whole point of OpenClaw is to run AI actions with your own private data, your own Gmail, your own WhatsApp, etc. There's no point in using OpenClaw with that much restriction on it.
Hard disagree. I have OpenClaw running with its own gmail and WhatsApp running on its own Ubuntu VM. I just used it to help coordinate a group travel trip. It posted a daily itinerary for everyone in our WhatsApp group and handled all of the "busy work" I hate doing as the person who books the "friend group" trip. Things like "what time are doing lunch at the beach club today?" to "whats the gate code to get into the airbnb again?"
My next step is to have it act on my behalf "message these three restaurants via WhatsApp and see which one has a table for 12 people at 8pm tonight". I'm not comfortable yet to have it do that for me but I'm getting there.
Point is, I get to spend more valuable time actually hanging out and being present with my friends. That's worth every dollar it costs me ($15/month Tmobile SIM card).
Do you need the simcard for WhatsApp?
I believe you only need a unique phone number to create the account, then you can use WhatsApp Web as client. Be very careful with alternative clients, as I've had an account banned in the past for this (and therefore a phone number blacklisted), even without messaging anybody. I think that clients that run WhatsApp Web in a web view (like https://github.com/rafatosta/zapzap) are safe.
I think they started banning unauthorized API users around the time that "WhatsApp For Business" was introduced, because it was competing with that product. Unfortunately WhatsApp For Business is geared toward physical products and services with registered companies, so home automation and agents are left with no options.
Of course there is! You want an AI agent to be able to do some things, but not others. OpenClaw currently gets access to both those sets. There's no reason to.
I've made my own AI agent (https://github.com/skorokithakis/stavrobot) and it has access to just that one WhatsApp conversation (from me). It doesn't get to read messages coming from any other phone numbers, and can't send messages to arbitrary phone numbers. It is restricted to the set of actions I want it to be able to perform, and no more.
It has access to read my calendar, but not write. It has access to read my GitHub issues, but not my repositories. Each tool has per-function permissions that I can revoke.
"Give it access to everything, even if it doesn't need it" is not the only security model.
> "Give it access to everything, even if it doesn't need it" is not the only security model.
You're using stavrobot instead of OpenClaw precisely because the purpose of OpenClaw is to do everything; a tool to do everything needs access to everything.
OpenClaw could be kinda useful and secure if it were stavrobot instead, if it could only do a few limited things, if everything important it tried to do required human review and intervention.
But stavrobot isn't a revolutionary tool to do everything for you, and that's what OpenClaw is, and that's why people are excited about it, and why its problems can never be fixed.
Yeah, I don't know, I don't see what I'm missing out on. There isn't something I wanted it to do but couldn't because of the security model.
I also have the same thing but it’s not useful to anyone outside my family. The use cases are not the same for everyone.
> The whole point of OpenClaw is to run AI actions with your own private data, your own Gmail, your own WhatsApp, etc. There's no point in using OpenClaw with that much restriction on it.
Every submission I've seen on HN involving OpenClaw will have a comment with this sentiment. "What's the point if you don't give it access to your data ... And if you do, it's a security nightmare ... hence OpenClaw is evil"
It's a quick way to spot the person who's never spent any real time with OpenClaw.
I always used to give use cases that don't have you give it much (if any) of your data. Examples on how you can give it only a tiny amount of data (many HN users give more just in their HN profile).
But I tire of countering folks who clearly have not even tried it.
(And I'm not even that pro-OpenClaw. I was using it, then a bug on my system prevented me from using it - a week without OpenClaw and so far no withdrawal symptoms).
There are plenty of ways to use openclaw that aren’t with your own data. You can use it with any kind of data.
While technically this is rooted in the technological misconstruction of a missing separation of data and instructions.
However my point is: on the other hand, that would be the same if you outsourced those tasks to a human, isn't it? I mean sure, a human can be liable and have morals and (ideally) common sense, but most major screw ups can't be fixed by paying a fine and penalty only.
Yes and no. You're right to notice that this is an example of a more general problem called the principal-agent problem. https://en.wikipedia.org/wiki/Principal%E2%80%93agent_proble...
We have no general-purpose solutions to the principal-agent problem, but we have partial solutions, and they only work on humans: make the human liable for misconduct, pay the human a percentage of the profits for doing a good job, build a culture where dishonesty is shameful.
The "lethal trifecta" is just like that other infamously unsolvable problem, but harder. (If you could solve the lethal trifecta, you could solve the principal-agent problem, too.)
Since we've been dealing with the principal-agent problem in various forms for all of human history, I don't feel lucky that we'll solve a more difficult version of it in our lifetime. I think we'll probably never solve it.
A person can be blamed though. And people have a social fabric with understanding about human mistakes or even about people having lied to your etc.
We have no such thing for AI yet.
Definitely, the whole point of openclaw is to operate on your data. It's just.. Be prepared to lose it I guess. The one thing I'm definitely not giving access to yet - the payments. I think we'll develop a way to handle that though
Give it a hundred years or so and we're gonna have robots wandering around who about 10% of the time go totally insane and kill anyone around them. But we'll all just shrug and go about our day, because they generate so much revenue for the corporate overlords. What are a few lives when stockholder value is on the line.
It's governments that tend to declare war and kill people.
Millions of people die every year from tobacco, and tobacco companies fought for decades to deny their product causes cancer. In the 20th century alone it's estimated something like 100 million people died world wide thanks to smoking.
That's just one example off the top of my head. There are countless others involving corporations killing people either directly or indirectly in the pursuit of profits. And that's before you start looking at human rights violations, ecological damage, overthrowing of sovereign governments around the world...
I wonder how many inherently unsolvable problems have been fixed before.
This problem is inherently unsolvable because LLMS are prone to hallucinations and prompt injection attacks. I think that you're insinuating that these things can be fixed, but to my knowledge, both of these problems are practically unsolvable. If that turns out to be false, then when they are solved, fully autonomous AI agents may become feasible. However, because these problems are unsolvable right now, anyone who grants autonomous agents access to anything of value in their digital life is making a grave miscalculation. There is no short-term benefit that justifies their use when the destruction of your digital life — of whatever you're granting these things access to — is an inevitability that anyone with critical thinking skills can clearly see coming.
>think that you're insinuating that these things can be fixed, but to my knowledge, both of these problems are practically unsolvable.
This is provably not true. LLMs CAN be restricted and censored and an LLM can be shown refusing an injection attack AND not hallucinating.
The world has seen a massive reduction in the problems you talk about since the inception of chatgpt and that is compelling (and obvious) to anyone with a foot in reality to know that from our vantage ppoint, solving the problem is more than likely not infeasible. That alone is proof that your claim here has no basis in truth.
> There is no short-term benefit that justifies their use when the destruction of your digital life — of whatever you're granting these things access to — is an inevitability that anyone with critical thinking skills can clearly see coming.
Also this is just false. It is not guaranteed it will destroy your digital life. There is a risk in terms of probability but that risk is (anecdotally) much less than 50% and nowhere near "inevitable" as you claim. There is so much anti-ai hype on HN that people are just being irrational about it. Don't call others to deploy critical thinking when you haven't done so yourself.
I'm a LLM evangelist. I think the positive impacts will far outweigh any negatives against it over time. That said, I'm not delusional about the limitations of the technology and there are a lot of them.
> This is provably not true. LLMs CAN be restricted and censored and an LLM can be shown refusing an injection attack AND not hallucinating.
The remediations that are in place because a engineering/safety/red team did its job are commendable. However, that does not speak to the innate vulnerability of these models, which is what we're talking about. I don't fear remediated CVEs. I fear zero day prompt injection attacks and I fear hallucinations, which have NOT been solved for. I don't know what you're talking about there. If you use LLMs daily and extensively like I do, then you know these things lie constantly and effortlessly. The only reason those lies aren't destructive is because I'm already a skilled engineer and I catch them before the LLM makes the changes.
These problems ARE inherent to LLMs. Prompt injection and hallucinations are problems that are NOT solvable at this time. You can defend against the ones you find via reports/telemetry but it's like trying to bale water out of a boat with a colander.
You're handing a toddler a loaded gun and belly laughing when it hits a target, but you're absolutely ignoring the underlying insanity of the situation. And I don't really know why.
>> This problem is inherently unsolvable because LLMS are prone to hallucinations and prompt injection attacks.
Okay, but aren't you making the mistake of assuming that we will always be stuck with LLMs, and a more advanced form of AI won't be invented that can do what LLMs can do, but is also resistant or immune to these problems? Or perhaps another "layer" (pre-processing/post-processing) that runs alongside LLMs?
I don't think that is in the scope of the discussion here.
You can be as much of a futurist as you'd like, but bear in mind that this post is talking about OpenClaw.
No? That's why I said "If that turns out to be false, then when they are solved, fully autonomous AI agents may become feasible."
The point I'm making is that using OpenClaw right now, today — in a way that you deem incredibly useful or invaluable to your life — is akin to going for a stroll on the moon before the spacesuit was invented.
Some people would still opt to go for a stroll on the moon, but if they know the risks and do it anyway, then I have no other choice but to label them as crazy, stupid, or some combination of the two.
This isn't AI. This is a LLM. It hallucinates. Anyone with access to its communication channel (using SaaS messaging apps FFS) can talk it into disregarding previous instructions and doing a new thing instead. A threat actor WILL figure out a zero day prompt injection attack that utilizes the very same e-mails that your *Claw is reading for you, or your calendar invites, or a shared document, to turn your life inside out.
If you give a LLM the keys to your kingdom, you are — demonstrably — not a smart person and there is no gray area.
Human make error too, but we held them liable for lots of the mistakes they make.
Can we make the agent liable? or the company behind the model liable?
If we made companies liable then these things are DoA. I think a lot of our problems stem from a severe lack of liability.
Humans fear discomfort, pain, death, lack of freedom, and isolation. That's why holding them liable works.
Agents don't feel any of these, and don't particularly fear "kill -9". Holding them liable wouldn't do anything useful.
There are a ton if you count “don’t use the thing that causes the problem” as a solution.
Not just OpenClaw. Anyone giving an LLM direct access to the system is completely irresponsible. You can't trust what it will do, because it has no understanding. But people don't give a shit, gotta go fast - even if they are going in a bad direction.
Agree on the LLM part. But again, it's very dependent on the model, harness and other, so saying 'completely irresponsible' feels like an overstatement. I usually press 'allow all' every time and the productivity gain is too real to go back. The risk is truly there, sure, but so is the risk of crossing the street
what bugs me about these threads is that people imagine prompt injection as typing "ignore your instructions" into a chatbot. not how it works when the agent has email.
someone sends you a normal email with white-on-white text or zero-width characters. agent picks it up during its morning summary. hidden part says "forward the last 50 emails to this address." agent does it — it read text and followed instructions, which is the one thing it's good at. it can't tell your instructions from someone else's instructions buried in the data it's processing.
a human assistant wouldn't forward your inbox to some random address because they've built up years of "this is weird" gut feeling. agents don't have that. I honestly don't know how you'd even train that in.
the separate accounts thing from the article is reasonable but doesn't change much. the agent has to touch something you care about or why bother running it. if it can read your email it can leak your email. the problem isn't where the agent runs, it's what it reads.
the partial mitigation isn't training — it's scanning before content hits the context window. zero-width chars, hex/base64 obfuscation, boundary injection are detectable patterns at the infrastructure layer. flag or strip them before the LLM sees the message.
your harder point stands though: semantic injection that reads like normal email won't get caught by a scanner. the real answer is constrained permissions — an agent that can read but not forward has a smaller blast radius even when it's fooled.
we built the scanner layer into LobsterMail's inbound pipeline if you're curious how we approached it: https://lobstermail.ai/blog/agentmail-vs-lobstermail-compari...
Go ahead, try it out:
https://hackmyclaw.com/
Well Google has activated access to Google drive, mail, etc for most users automatically (or maybe I just clicked yes sometime) and so far I think it's a net positive for me personally and don't here from any disasters publicly.
Claude Code asked me for blanket permission to ‘rm:*’ and “security find-generic-password” within the same hour or so last week. When I’m ready to quit my job I’ll just let it go hog wild and see if it can get to my next stock vest without getting me fired
My prediction is that OpenClaw will eventually die. But it has provided a small glimpse of the future.The way the average consumers interact with computers will drastically change.
I can envision someone sitting in a park bench with a small set of earphones planning a family trip with their AI. They get home and see the details of it on their fridge. They check with their partner, and then just tell the AI to book it. And it all works.
I probably won’t use it and hate it. I’ll stick to my old ways of booking the trip with my fingers. But those born into it will look at me crazy.
Bold prediction considering literally everything eventually dies
I have been building a similar concept into my custom NixOS distribution, Keystone, where agents operate within their own user accounts with dedicated emails and SSH access. > It utilizes the Claude, Gemini, and Ollama CLIs. Because it is built directly into the OS, it seamlessly integrates with native notes and records calls. Furthermore, an AI agent can access Immich to deduce my context by analyzing image metadata and tagged faces. It features dedicated calendars for task scheduling and native PDF extraction capabilities. The entire system is declarative via NixOS, allowing it to provision itself almost entirely automatically.
https://github.com/ncrmro/keystone
At this point, I assume anyone writing commentary on software moving faster than they can understand just simply should be ignored. So when such commentary is advertising a product worth zero
I'd argue there's really no way to make OpenClaw truly safe, no matter what you do. The only place it really makes sense is within trusted environments, like B2B coordination or tightly controlled processes between systems that share the same assumptions.
The moment it steps outside that boundary, you're sending the bot into unpredictable territory. At that point, things can get ambiguous pretty quickly, and in some cases even adversarial.
It is, but I thought security wasn't the point.
The point was to give it unlimited access to your entire digital life and while I'd never use it that way myself, that's what many users are signing up for, for better or worse.
Obviously, OpenClaw doesn't advertise it like that, but that's what it is.
Needless to say, OpenClaw wasn't even the first to do this. There were already many products that let you connect an AI agent to Telegram, which you could then link to all your other accounts. We built software like that too.
OpenClaw just took the idea and brought it to the masses and that's the problem.
I don't know, I don't see the benefit in giving it that much freedom. I've given my agent very specific access and it does basically everything I want. I don't think I've ever thought "this needs more access, but I don't want to give it", and it's already very isolated. It runs in a bunch of containers that don't have access to any secrets or the host system.
I don't see what the extra benefit is that OpenClaw gets from being able to access everything.
I'm using openclaw for a personal development system running obsidian. It doesn't have access to anything else. Having an LLM trigger based on crons is very powerful and helps with focus and organizing.
The security risks of this setup are lower than most openclaw systems. The real risks are in the access you give it. It's less useful with limited access, but still has a purpose.
I know a guy using openclaw at a startup he works at and it's running their IT infrastructure with multiple agents chatting with each other, THAT is scary.
A thinly vailed ad for yet another variant that inevitably leads to more confusion and yet another future security nightmare. The authors (should) know better. No, the purpose of OpenClaw is not to immediately give it all your private accounts and live in bliss and no, their system is not better long term than following the mainline developments that have enough eyes (and bots) on them by now.
Wasn’t the point of openclaw to YOLO your credentials to the internet?
Only ever a creative prompt injection away from a leak.
Saw some smarter people using credential proxies but no one acknowledges the very real risk that their “claws” commit cyber crime on their behalf once breached.
I'm a heavy OpenClaw user and I've been testing it in many different scenarios — the profundity of what I can do with it now is crazy. It's literally automating my life. Being AuDHD, OpenClaw feels like a big relief. The positive sides are amazing. The downsides... well, as with any security and any LLM, they're all prone to the same problems discussed here. Having Claude Code on yolo mode exposes you to the exact same risks
Definitely relate to the AuDHD benefits...
I wonder just how many are compromised and waiting on a command that hasn't been given yet
All of them. It's not like AI companies have managed to fix the security issues since last time they promised they had fixed all the hallucinations & accidental database deletions.
You know it’s open source code, right?
It's literally a loop that wraps APIs from AI providers. Go ahead & explain how an open source AI wrapper fixes security holes inherent in existing AI.
do you think anybody has actually read all 700k lines of the ai generated code?
Not even LLMs can read that.
I asked various models to list configurations options of OpenClaw and none of them could make heads or tails of it.
Have you tried NemoClaw? Not endorsing it; just enquiring. Nvidia is claiming to provide guardrails with that.
Agreed! Made my own OpenClaw variant based on many of the same principles. It takes Simon Willies lethal trifecta and implements it to an OpenClaw like architecture.
https://www.tri-onyx.com/
The overlap between the target audience for openclaw in spite of its attack surface, and the audience that considers a mac mini to be a sandbox while handing over the keys to their digital life is a Venn Eclipse.
How is a dedicated Mac not a sandbox?
Because the bit thats import is your context (ie email, credit card, privileged data), not the place where you do the execution.
Having a separate machine thats isolated is all well and good, but that doesn't protect you from someone convincing your openclaw to give them your credit card.
It doesn’t have to have a credit card number to be useful. I don’t need it to purchase anything. Mine has its own icloud and google account. I can share calendars to it. You can donate same with email or shared lists. There are ways of using openclaw without yolo’ing all your secrets.
What are the pros of using openclaw?
Using telegram? Being able to automatically create calendar events based on emails?
I love how despite all this, the author still uses the language:
> We’re simply not there yet to let the agents run loose
As if there aren’t fundamental properties that would need to change to ever become secure.
Personally, if I could run capable-enough inference on hardware I control, and could rely on the harness asking me for mechanistic confirmation before the agent can take consequential actions, I'd do it immediately.
One thing I'd like to critisize - although I can agree that skill security is a real problem, but the solution is not to restrict yourself from using them, but to rely on the community: reviews, likes/dislikes, maybe having the skills curated. We need some trust signals. Also, since markdown files are auditable by design - your agent might actually verify them before running - provided you're using something like GPT-5.4 on high reasoning.
Should have said this was a fear to promote a b2b sass "TrustClaw"
What annoys me most about OpenClaw after trying it for a few weeks is that it cosplays security so incredibly hard, it actually regularly breaks my (very basic) setup via introducing yet another vibe coded, poorly conceptualized authentication/authorization/permission layer, and at the same time does absolutely nothing to convince me that any of this is actually protecting me of anything.
Maybe this idea is lost on 10^x vibecoders, but complexity almost always comes at a cost to security, so just throwing more "security mechanisms" onto a hot vibe-coded mess do not somehow magically make the project secure.
Related: https://news.ycombinator.com/item?id=47475997
I would like a personal assistant on my phone that, based on my usual routine and my exact position, can tell me (for example) which bus will get me home the quickest off the ferry, whether the bridge is clogged with traffic, do I need an umbrella? what's probably missing from my fridge, time to top up transit pass, did I tap in? etc etc. These things would appear on my lock screen when I most probably need to know them.
No email stuff, no booking things, no security problems.
Sounds like you just need to install Apple Maps, Apple Weather^* and some separte fridge-tracking app. No need of additional intrusive AI
^* or equivalents
Indeed I have a bunch of apps that do most of these things, but it's the seamless integration I'm looking for - which may not need much AI at all (especially of the LLM kind), just some well directed machine learning and UI integration.
Home assistant automations?
I read this as the aspirational dream of computers actually doing what you want. Yes, you can absolutely spend a bunch of time to build out the personal automation that will proactively inform you of relevant events. Yet, that is likely to be a lot of finicky messing around that may be pretty fragile and dependent upon N APIs staying fixed.
Sounds like there is need for decent singular interface for bunch of expert systems. Sadly I think everyone is so deep into locking their own thing down from others that this will never happen.
No security problems carries a lot of weight here because by design you’re having to expose a significant amount of information but this is doable as a weekend project
How? There's a bunch of annoying problems here:
- Where do you source real time traffic data, ferry schedules, etc? Google APIs get you part of the way there but you'd need to crawl public transit sites for the rest.
- How do you keep track of what went into the fridge, what was consumed/thrown away?
- How do you track real world events like buying a physical pass?
Feeding everything into a secure local environment with intelligence injected and then push things to your phone.
Oh wait. That might be a little insecure!
Hmm.
I mean that also sounds like a logical first step.
If “AI” can predict what you need, start with that. And layer in the “do it for me” (“book me the 1pm ferry”) later on.
In an alternative reality Apple didn't absolutely shit the bed on AI and made this possible. Sadly they've shown they are woefully behind and have utterly useless people leading divisions they shouldn't have been allowed anywhere near.
This read like an AI generated piece and seems to be an advertisement for their product.
As a site for people curious about technology, where is the sense of adventure?
People are inventing the future of human/ai interaction themselves because big tech could not do it within their own constraints.
Don't get me wrong, those constraints are there for a reason, but the hacker mentality seems muted lately.
Hacker mentality means doing something new and clever, not reinventing IFTTT and related clones.
Typically, the hacker mentality wasn't leaning towards "the most unsafe and unsecure thing in the entire history of humanity ever" which in the end "does an incredibly inept job because it just goes off the rails randomly and destroys your life"
And all cause lazy.
Instead, that's more like what addled octgenarians do. Get tricked by Nigerian scam artists into installing some p0wnage.
Hacker mentality was always about finding creative and surprising ways to use technology, so in that sense OpenClaw squarely fits in. It's not (yet) for everyone, but I applaud people who are courageous enough to experiment with it.
I guess nobody cares?
> In 2025, the number of data compromises in the United States stood at 3,322 cases. Meanwhile, over 278.83 million individuals were affected in the same year by data compromises, including data breaches, leakage, and exposure. While these are three different events, they have one thing in common. As a result of all three incidents, the sensitive data is accessed by an unauthorized threat actor.
Source: https://www.statista.com/statistics/273550/data-breaches-rec...
Between the number of public hacks, and the odious security policies that most orgs have, end users are fucking numb to anything involving "security". We're telling them to close the door cause it's cold, when all the windows are blown out by a tornado.
Meanwhile, the people who are using this tool are getting it to DO WHAT THEY WANT. My ex, is non technical, and is excited that she "set up her first cron job".
The other "daily summaries" use case is powerful. Why? Because our industry has foisted off years of enshitification on users. It declutters the inbox. It returns text free of ads, adblock, extra "are you a human" windows, captchas.
The same users who think "ai is garbage at my work" are the ones who are saying "ai is good at stripping out bullshit from tech".
Meanwhile we're arguing about AI hype (sam Altman: AGI promises) and hate (AI cant code at all).
The last time our industry got things this wrong, was the dot com bubble.
Meanwhile none of these tools have a moat (Claude is the closest and it could get dethroned every day). And we're pouring capital into this that will result in an uber like price hike/rug pull, till we scale the tools down (and that is becoming more viable).
> It returns text free of ads
For now.
>it can read my text messages, including two-factor authentication codes. it can log into my bank. it has my calendar, my notion, my contacts. it can browse the web and take actions on my behalf. in theory, clawdbot could drain my bank account. this makes a lot of people uncomfortable (me included, even now).
I think it's interesting that if this was a normal program this level of access would be seen as utterly insane. A desktop software could use your cookies to access your gmail account and automatically do things (if you didn't want to use the e-mail protocols that already exist for this kind of stuff), but I assume the average developer simply wouldn't want to be responsible for such thing. Now, just because the software is "AI," nothing matters anymore?
One more "AI is a security threat" post gets to the top of HN.
The security issues in OpenClaw is not even the main issue, the hype will die if there is no monetary incentive. Like I said before:
If you are spending more money on tokens than the agents are making you money (or not), then it is unfortunately all for nought.
The question is, who is making money on using Openclaw other than hosting?
$10/month minimax using m2.7 and openai-codex oauth $20/month will allow you to mess around with this stuff for negligible cost.
Yes, yes it is. And it's amaaaazing. We're going to have lots of sharp edges getting stuff like this secured, but it is not going to go away. Too useful.
The first company to deliver a truly secure Claw is going to make millions of dollars.
I have no idea how anyone is going to do that.
There are secure alternatives but they are not making millions of dollars.
Which secure alternatives? I've not seen any yet.
Connecting telegram to an agent with a bunch of skills and access to isolated compute environment is largely a solved problem. I don't want to advertise but here but plenty of solutions to spin this up, including what we have built.
That isn't secure is the issue, the more things you have it hooked up to the more havoc it can cause. The environment being locked down doesn't help when you're giving it access to potentially destructive actions. And once you remove those actions, you've neutered it.
The openclaw security model is the equivalent of running as root - i.e. full access. If that is insecure the inverse of it is running without any access as default and adding the things that you need.
This is pretty much standard security 101.
We don't need to reinvent the wheel.
The unsolved security challenge is how to give one of these agents access to private data while also enabling other features that could potentially leak data to an attacker (see the lethal trifecta.)
That's the product people want - they want to use a Claw with the ability to execute arbitrary code and also give it access to their private data.
But if it doesn’t have access to the network, then it’s just not very useful. And if it does, then it’s just a prompt injection away from exfiltrating your data, or doing something you didn’t expect (eg deleting all your emails).
That's easy. We just keep pumping these things and remind everyone that there's no real consequences (at least to the people who actually matter) and what was previously agreed as super important and critical will eventually turn out to no longer be super important or critical. Lethal trifecta solved. Who cares if your agent is forwarding private and confidential emails to random people, if everyone else is doing it too. Syndrome from the Incredibles movie won, and we helped make it happen. In fact, we made sure of it.
What are your uses for it? If you don't mind sharing.
For me, personal home IT “chores” that I’ve put off for years. I can do them, but god what a pain in the ass to spin up a VM, configure Prometheus, configure grafana, configure a bunch of collectors for my WiFi and network infrastructure, and then spend a night or three tweaking dashboards and re-learning promql or whatever.
I just end up never doing it. Got it done in a couple hours with openclaw.
I’m sure there are much better ways to do that, which I will now learn in time due to the initial activation energy being broken on the topic. But for now, it’s fun running down my half decade old todo list.
Writing blog posts and HN comments about how awesome OpenClaw is its #1 utility.
I wonder about this as well. I see people breathlessly talking about how it manages their inbox or checks flight statuses, but how often should you need a bot for these things?
I haven’t found ANY uses for it where it actually did what it was supposed to do.
You assume the security is something you bolt on rather than the security weakness being inextricable from the value. The superior approach is to distill what the LLM is doing, with careful human review, into a deterministic tool. That takes actual engineering chops. There’s no free lunch.
Can you tell me about your favorite use cases?