We are building a Personal AI Assistant platform in Europe. Oh man. It is FREAKING HARD! We have now 20 paying users and it is amazing what those people do lol. You really can't make it up.
The complexity of building such a business is something I've really underestimated. Especially if you allow the harness to evolve. For our 20 users, no sandbox is still the same anymore. Everyone customized it, has crons running, built apps or automations.
And then jsut to think that Meta Muse went to a million users in literally no-time. I am not surprised at all.
On the other hand. Zuck has literally infinite money to spend. You'd expect better than, right?
EDIT: Because someone downstream rightfully asked if we look at user's sandboxes: Yes! IF they ask us. Our users aren't engineers and often get stuck and even the LLM can't figure it out. THEN - AND ONLY THEN - we jack into the sandbox and help them.
To be fair agentic platforms are a shitty idea from a security perspective anyway. Everyone just threw that out of the window because shiny. Their funeral.
Search engines (Google was funded by In-Q-Tel) aimed at searching and reading publicly accessible data. Then they moved to the "deep web" like email with Gmail, searching and reading less publicly accessible data.
Social media convinced people to publish on the web details of their personal life that they never would have voluntarily handed over to federal agents: political views, personal relationships, pictures of everywhere they've been, graphs of associates.
AI gets people to interactively divulge what they're working on and even to upload the files. It's the next step on a path from a past where intelligence agencies had to spy on people to a future where people pay for the privilege of volunteering everything to the intelligence agencies.
Why would someone use you rather than using a product from a frontier lab? Surely, you can't be cheaper than them unless your model is an open-source model? Anthropic already offers the equivalent of a cron job and app building tools (along with state management).
Many people don't wanna depend on US products. If US switches them off, you are gone. Not even talking about privacy of US companies. Nor talking about guardrails that let you not do things you need to do.
Actually, for the purpose of providing the service its fine to look. They just aren't allowed to use what they see anywhere else. Just like your doctor hears about your health problems but can't sell your medical records. Whats with the nasty toxicity?
We only look IF they ask us. Our users aren't engineers and often get stuck and even the LLM can't figure it out. Then - AND ONLY THEN - we jack into the sandbox and help them.
For instance, one customer has 15(!) cronjobs. And they all used LLM calls to do stuff. So they ran out of tokens super quick and asked us for help because they didn' tknow what to do. Its not an engineering company, the owner has a sales background. So we went in and wrote scripts for them so that the cron calls don't need to use the LLM anymore.
Yes. Or we make a skill of it and offer it via our skills marketplace. Depends really on what the fix was. Sometimes its really a one-off issue, and sometimes it makes sense to roll the new "insights" out to everyone.
Another question I have, is from a product perspective, how do you decide how much of the internals you show to users (like token usage).
I always thought that seems like (from a non technical users POV), like a implementation detail; and quite hard to map to actual usage. For example, one request might use lots of tokens, and another will barely use any; but it can be difficult for a non technical user to undertand the difference.
I am not a user of your service, but a "system diagnostics" skill is something I have been meaning to develop for my hermes instance. Things like checking if I have left any running servers, cleaning up consumed linux ISOs from jellyfin, check for any repeated tool failures etc. Also its fun to say "run system diagnostics".
At the company I work for, a human being gaining access to “look” at a user’s actual prod data (anything that might contain PII) is super rare and very, very difficult. And I’m not even in Europe. At least a dozen people need to approve the access, including people very senior in leadership, you need to describe exactly what data you need to see, what the business purpose is, what steps you are taking to anonymize the data (can you live with a redacted view?), exactly how long you need that access, how you are going to destroy any copies after that access is finished, and so on. This employee access, IF approved, gets logged and can be scrutinized later. And I have absolutely no doubt if you misused that access it would be noticed and you’d be fired (it has happened). I’m pretty confident that nobody at my company is going on the internet and posting “OMFG LOL our users have such crazy data u should see it LOL.”
I always assumed most SeriousBusiness companies over a certain size, not run by 20 year olds, operate similarly.
Sounds like your software might require HIPAA compliance in which case everything that you just said makes sense and is likely required in that context. But for the average SaaS that doesn't need HIPAA compliance it doesn't work like that.
Yeah, that is the correct behavior what I would expect in a business setting - its a basic decency, not to mention customers switching to competition if they find out their data is not protected.
What do you do when you're providing tech support to a customer about an issue that is related to their data? Obviously there should be some process in place but a customer going 'hey could you look at this' is a perfectly valid reason to, you know, look at it.
And it's not particularly unusual to discuss vague details of your customers anonymously. Even in the medical field, with very strict privacy rules, doctors will often publicly discuss encounters they have had with patients, and they only cross the line when they identify the patient.
That’s a good question, I honestly have no idea how customer support works. My guess is they have access to heavily audited systems that automate away these approvals, are limited to tools that can delete/reset but can’t read, and/or are given a filtered/redacted window to the user data they do actually need to see with human eyes.
Sure, which is why I think if one wants to run any agents with sensitive data, they need to be fully self hosted so that operators can't look into your data. Anything else is insane and will be used against you.
But they didn't ask US for help. We didn't need to know a customer of yours is running 15 cronjobs. Even if this factoid itself may be harmless, it's a good thing to practice on how you talk about these things. I'm not saying you're doing anything wrong, I don't know that, but I totally get why how you talk about it rubs some people (including me) the wrong way.
> Its not an engineering company, the owner has a sales background.
Again, it's good if you have a close relationship with your customers, but we don't, and they don't have one with us.
Thanks for the constructive feedback. I think you may be right about this.
It thought it was anonymous enough in the way I phrased it. Just wanted to be honest.
It's a topic that comes up once in a while, usually when it's less relevant to the point being made. The short story [0] is that it can mean both literally or figuratively depending on if you use it literally or figuratively.
Zuck: Yeah so if you ever need info about anyone at Harvard
Zuck: Just ask.
Zuck: I have over 4,000 emails, pictures, addresses, SNS
[Redacted Friend's Name]: What? How'd you manage that one?
Zuck: People just submitted it.
Zuck: I don't know why.
Zuck: They "trust me"
Zuck: Dumb fucks.
I suspect you are projecting. This is not every tech company, not even remotely close. Maybe the big Silicon Valley companies have misled you into thinking that other software companies don't exist.
I didn't think that your comment was about data access. I thought your comment was about the callous remarks by zuck. Most of the companies I work with treat customer data with extreme care and sensitivity and don't throw it around like silicon valley ad tech does.
There is a gulf of difference between accessing your data to comply with the law and accessing your data (and giving it away to friends!) for no reason, while being so nefarious about it that you call people “dumb fucks” and mock them for even believing you’d treat the data properly and then spend years proving that you’re trustworthy, while at the same time showing complete understanding of the harm you’re causing by being yourself so private that you buy the houses next to yours and keep them empty.
Totally fair to be annoyed/outraged by this. What I argue is that ~every company has that attitude (Zuck just said the quiet part out loud). Like, we're only kidding ourselves if we think most companies' employees can't peek at our data on whim, or that most companies don't share it with third parties, and probably also (possibly secretly) with government.
To be "fair", Zuckerberg is a mendacious little prick with a history
Did the Google guys ever get caught saying that? Or using their power over the company to unsend messages, oh I guess you can't do that with email, but with Messenger you can...
It's not, there are levels of scumbaggery and Meta is one of the absolute worst. Rigging elections all over the world, privacy violations everywhere, actively scheming to get kids addicted to slop media, privacy destroying recording glasses, the list goes on.
A lot of people actually, even techies. I commented something similar on a different tech website (Ars Technica) highlighting the trustworthiness of the company behind the tool, and that by now people should not be surprised the face eating leopard eats faces. I was met with a lot of implicit defense of Meta and redirecting the attention to "whatabout" Anthropic, OpenAI, etc. (much like sibling reply here makes it an "every tech company" problem). The general agreement in that forum was that the company is not the problem, it's just what AI tooling does.
So either the internet is full of shills, or people are genuinely surprised because they chose ignorance for decades. Or maybe both can be true.
> But a central design decision for constructing URLs has made the links easy to discover. As a result, researchers from security firm Claroc said they were able to enumerate 6,800 links Muse users created for sharing conversations with others.
To be clear, did the users intended for these conversations to be shared with someone? Meta just created a guessable capability URL?
Or were all Muse users' conversations by default public, just behind an obscure URL?
It seems that Meta assigns a unique hostname to each shared conversation. For example:
> fiscal-review-b4a5ff.cf.metaaiusercontent.com
So when someone opens the link, the DNS resolution exposes the unique hostname. The original bug reporter found dozens of these URLs in passive DNS logs.
That is remarkably amateur. I'm not a software engineer by trade nor have worked at a billion dollar company, but knew that to be a bad design within seconds.
It doesn’t strike me as inherently bad. Using a new domain for each conversation is novel, but it certainly enables many techniques. For example what if the shared conversations can contain AI-generated interactive code? Then the browser will enforce isolation (cookies, CORS etc) if you just put the parent domain into the public suffix list. It’s a tradeoff that isn’t clear cut. And it’s definitely more work doing it this way.
I remember back when Facebook was still .edu email addresses only (2004 or 2005 maybe), and my university got access, we discovered you could just grab the user id of another user from their public profile, and paste it in place of your own user id on your own profile, and get access to their profile as if it was your own.
Sounds like it's the former: URLs are guessable/easily enumerable but their contents protected by auth unless they're "published" using the share feature
Lesson here is that the subdomain names can be queried due to passive DNS records, and putting stuff that is not supposed to be guessable in subdomain names is a bad idea.
Someone asked me this morning if I consider Muse a privacy risk. Lol. I do.
But to be honest this is all temporary. Muse, Grok, Dots will have users for the foreseeable future but there will be viable options for self-hosting too.
The Hub powers the entire family inference needs through a single device - 4 users - 8 device about 50 agents - mixture of local models and some subscriptions.
Obviously you cannot get frontier level of intelligence for coding tasks on a single Mac Mini/Studio but most people don't need that. Latest generation of open weight models are fine and in the worst case scenario bring your own regional cloud based inference services that value privacy. There are already plenty of companies in UK and Europe that provide serverless access to GLM, DeepSeek etc.
My honest view is that it is taking too long for them to be made legally responsible for these problems.
There is no point on saying "there is no guarantee software" as it is supposed to be "maybe it does not work" and not "it might make your life terrible"
I am baffled by all these people giving muse their personal info. I tried muse out. Didn’t install anything locally and didn’t give it any personal info beyond a fresh meta identity. I just poked at the free vm for a while. There’s no way in hell I’m giving it access to anything sensitive.
I dont get why they bother with DNS and subdomains when they could generate a unique url. This would eliminate the possibility of easy reverse dns lookup.
I run an personal AI agent locally (hermes), and use a combination of local models and whatever model I can get for a reasonable price (usually deepseek).
After using it for a couple months, I'm converted. They're so good, the more you use it, the more useful it is; you internalise more of what it could be used for. It runs so many boring parts of my life, leaving me with more time to spend with my family.
I liken it to release of the first iPhone; it didn't invent any new technology, but packaged different bits of tech together in a way that was consumer friendly. I think we'll look back at OpenClaw/Hermes/Muse/Instinct in the same way.
I do worry about using purely cloud based offerings like Muse, I reckon there is a market for someone to package an consumer AI agent that lives on your home network.
Whenever this comes up, all I ever see are hand-wavy responses like this. "It does everything", "it changes your life." But how exactly? Because I can only see this being true for the terminally online.
That's fair, I'll give a couple of example of things that I've used it for...
I built an app (in codex), that goes through my emails, pulls out any receipts, and adds the purchases to a sqlite database. I do all my grocery shopping online (through my supermarket), so our weekly shop is stored in the database.
Hermes uses that to predict what items will need restocking (based on how often I buy it, and when I last bought it).
Every week, it logs into the supermarket website on my behalf, books a delivery slot, and adds all the items that need restocking to the shop.
Throughout the week, if I run out of something, I take a photo of the barcode and send it to hermes, it adds it to the shop for me.
I built a similar app for travel; if I have any upcoming travel, hermes will send me updates (delays, platform changes etc...). I do a lot of train travel for work, if my train is delayed, it will automatically apply for the compensation on my behalf.
It reads my emails, and pulls any actionable items out, and adds it to an Asana list. I can either do the tasks myself, or assign it to Hermes and it will do it for me. As an example, I had an task to book swimming lessons for my son, hermes monitors the swimming lesson availability and automatically booked it when a suitable one becomes available.
Shopping is a good use case, I have a clock that needed a new battery, it wasn't a standard battery, and required a screwdriver to open the compartment. I took a photo of the clock, sent it to hermes, and it found out what battery took and ordered it of Amazon for me.
I wanted to buy some smart thermostats for our radiators, but wanted to be compatiable with our current smart heating system. Hermes is connected to my home assistant, so it figured out what heating system we have and found a compatiable set of eBay (this is slightly more involved than it sounds, as there is a new version of the heating system with a new set of completely incompatiable accesories).
I don't think "it does everything" or that it has "changed my life", but all of those examples are chores, things that I don't particularly enjoy doing; and if something can take it off my plate, then it's useful for me.
It doesn't burn that many tokens, as most of the code is deterministic.
Receipt emails are in a predictable format, so codex built scripts to parse the emails. If there is a receipt email it doesn't recognise, it will use an LLM to build a parser for that kind of email once.
The agent also "self improves", so after asking once to get items to restock, it wrote a skill with the query it used in, so it doesn't burn tokens figuring it out again.
I was impressed that after it logged into my supermarket account, it inspected the network traffic and discovered a GraphQL API, and used that (instead of screen scraping); much more economic.
I've averaged 2.6 cents a day in token costs over the last month.
Thanks for your detailed answers. Although none of what you posted even remotely interests me as something I’d be interested in doing on a computer, it is absolutely fascinating to see details about how others are using LLMs and turning their computers into these “assistants.”
Yeah it’s not for everyone, it reminds me of the automation xkcd comic [1]
For me my motivation is that I’m working 9-5, my children go to bed at 8pm, and I don’t have my phone on me so I can spend time with them.
Once they’re asleep, I’ve got 2 hours to spend with my partner before bed. I’d rather actually spend time with her rather than checking if we have enough kitchen roll.
I understand what you’re getting at, but that example doesn’t bode well for you. The remote control increased convenience at the cost of making us more sedentary and lowering our attention spans. It was not a good trade.
I was thinking that I actually use grocery shopping as a recovery activity. I could cut it out but don't feel the need that much. It's not that I feel I'd do something incredible instead (which requires energy and/or recovery time of its own)...
I think the promise of personal AI agents is incredible, and they can already be super useful. But we haven't even begun to figure out the safety side for a mass audience.
Even as an experienced developer, sandboxing an agent is not trivial. The idea of my aunt, who has her passwords on a post-it-note on her monitor and forwards me scam emails using these things is terrifying.
I am the opposite. I work with LLMs all the time but don’t use them much at all personally. Not for lack of trying, I’ve tried several times with different frameworks and I just can’t find a use case that is remotely worth it.
You cannot understand it because you are possibly thinking of it from a utility perspective? People just do things because it's cool or keep themselves entertained. Mostly to keep themselves entertained.
i understand the adoption for these things is off the charts.
usage-time growing fast, with tasks and cron jobs.
in the last spacex earnings report (few hours ago), Elon said he thinks their grok-bot will next year make up most of their AI inference usage across their datacenters.
basically he tried to imply these bots/personal-agents get lots of usage once users start customizing them. and it is bringing in a lot of money in API usage.
Because a lot of money is being poured into fear mongering campaigns that if you don’t you will *puts flashlight below chin* “be left behind”.
No one ever answers why that’s bad, though, or behind what. Turns out it’s behind in the procession walking towards the cliff. Maybe not such a bad idea to stay behind on that one.
> Muse, which Meta CEO Mark Zuckerberg said last month was “built from the ground up for privacy and security,”
> reported the findings through Meta’s bug bounty program on October 8 and also tried reaching people at Meta on LinkedIn, but got no reply either way.
Checks out
> The ease in discovering share links further justifies asking if Muse is worthy of the access it requires.
Muse is the most obviously doomed claw-style bot because you already need to segment those things from ANY personal info, and Meta rolls into the room as the journal that will tell everyone what you write in it and says "trust me"
Part of a huge problem with FAANG companies. You can't be Meta and just ratfuck your users for decades and then ask them to trust you, just like you can't be Amazon and turn your storefront into Temu-lite and expect people to want to order products sight unseen with your Echo shit.
Sure but for most people they will not understand the consequences until it is hammered by constant notifications. And those will not happened until such law are mandating for the users to be notification left, right and center. After all Facebook is one of the original promoter of dark patterns in UX/UI.
It's worse. Even if you talk to them, explain in detail why and how Meta and their products are evil, they will just nod, frown, go "yeah, that's serious, someone should do something", and then they will turn around, check their Whatsapp messages and post a story on Instagram about their lunch.
Network effects matter and no you can't just 'email/call them'. Not everyone automatically has those. You can get it, but something like FB, loose connections, regaining contact (you literally don't have their email/phone numbers and don't tell me 'oh but you lost touch for a reason'), is a nice thing if its CEO wasn't who he is
EDIT: Because someone downstream rightfully asked if we look at user's sandboxes: Yes! IF they ask us. Our users aren't engineers and often get stuck and even the LLM can't figure it out. THEN - AND ONLY THEN - we jack into the sandbox and help them.
To be fair agentic platforms are a shitty idea from a security perspective anyway. Everyone just threw that out of the window because shiny. Their funeral.
Social media convinced people to publish on the web details of their personal life that they never would have voluntarily handed over to federal agents: political views, personal relationships, pictures of everywhere they've been, graphs of associates.
AI gets people to interactively divulge what they're working on and even to upload the files. It's the next step on a path from a past where intelligence agencies had to spy on people to a future where people pay for the privilege of volunteering everything to the intelligence agencies.
For instance, one customer has 15(!) cronjobs. And they all used LLM calls to do stuff. So they ran out of tokens super quick and asked us for help because they didn' tknow what to do. Its not an engineering company, the owner has a sales background. So we went in and wrote scripts for them so that the cron calls don't need to use the LLM anymore.
How do you then ensure it’s fixed for customers in the future? Do you add instructions to agents to write scripts where possible?
Another question I have, is from a product perspective, how do you decide how much of the internals you show to users (like token usage).
I always thought that seems like (from a non technical users POV), like a implementation detail; and quite hard to map to actual usage. For example, one request might use lots of tokens, and another will barely use any; but it can be difficult for a non technical user to undertand the difference.
I always assumed most SeriousBusiness companies over a certain size, not run by 20 year olds, operate similarly.
Sounds like your software might require HIPAA compliance in which case everything that you just said makes sense and is likely required in that context. But for the average SaaS that doesn't need HIPAA compliance it doesn't work like that.
And it's not particularly unusual to discuss vague details of your customers anonymously. Even in the medical field, with very strict privacy rules, doctors will often publicly discuss encounters they have had with patients, and they only cross the line when they identify the patient.
I mean I'm all for privacy and security but this statement right here just comes across as pretty paranoid
But they didn't ask US for help. We didn't need to know a customer of yours is running 15 cronjobs. Even if this factoid itself may be harmless, it's a good thing to practice on how you talk about these things. I'm not saying you're doing anything wrong, I don't know that, but I totally get why how you talk about it rubs some people (including me) the wrong way.
> Its not an engineering company, the owner has a sales background.
Again, it's good if you have a close relationship with your customers, but we don't, and they don't have one with us.
> We define literally in two senses:
> 1) in a literal sense or manner : actually
> 2) in effect : virtually
[0] https://www.merriam-webster.com/grammar/misuse-of-literally
anyone surprised?
I thought I could name one (GitHub), but after checking, they can (e.g. if requested by law enforcement etc).
Therefore, the total I can name is 0.
It really goes a long way when the law stop saying "it's not nice if" and starts saying "if you can even if you don't then you're guilty".
The question was not "could the do all shitty things if they were scummy assholes", but "are they all scummy assholes".
Did the Google guys ever get caught saying that? Or using their power over the company to unsend messages, oh I guess you can't do that with email, but with Messenger you can...
A lot of people actually, even techies. I commented something similar on a different tech website (Ars Technica) highlighting the trustworthiness of the company behind the tool, and that by now people should not be surprised the face eating leopard eats faces. I was met with a lot of implicit defense of Meta and redirecting the attention to "whatabout" Anthropic, OpenAI, etc. (much like sibling reply here makes it an "every tech company" problem). The general agreement in that forum was that the company is not the problem, it's just what AI tooling does.
So either the internet is full of shills, or people are genuinely surprised because they chose ignorance for decades. Or maybe both can be true.
its not incompetent, its designed that way
To be clear, did the users intended for these conversations to be shared with someone? Meta just created a guessable capability URL?
Or were all Muse users' conversations by default public, just behind an obscure URL?
> fiscal-review-b4a5ff.cf.metaaiusercontent.com
So when someone opens the link, the DNS resolution exposes the unique hostname. The original bug reporter found dozens of these URLs in passive DNS logs.
Yes, it is. Just because you expected it doesn’t mean it shouldn’t be reported.
> Didn't we all just presume that was what was happening? I mean they're a data mining company.
I know that, and you know that. Many people obviously still use their products and don’t understand that.
But to be honest this is all temporary. Muse, Grok, Dots will have users for the foreseeable future but there will be viable options for self-hosting too.
I am already doing it https://github.com/pdparchitect/noodle/
The Hub powers the entire family inference needs through a single device - 4 users - 8 device about 50 agents - mixture of local models and some subscriptions.
Obviously you cannot get frontier level of intelligence for coding tasks on a single Mac Mini/Studio but most people don't need that. Latest generation of open weight models are fine and in the worst case scenario bring your own regional cloud based inference services that value privacy. There are already plenty of companies in UK and Europe that provide serverless access to GLM, DeepSeek etc.
There is no point on saying "there is no guarantee software" as it is supposed to be "maybe it does not work" and not "it might make your life terrible"
After using it for a couple months, I'm converted. They're so good, the more you use it, the more useful it is; you internalise more of what it could be used for. It runs so many boring parts of my life, leaving me with more time to spend with my family.
I liken it to release of the first iPhone; it didn't invent any new technology, but packaged different bits of tech together in a way that was consumer friendly. I think we'll look back at OpenClaw/Hermes/Muse/Instinct in the same way.
I do worry about using purely cloud based offerings like Muse, I reckon there is a market for someone to package an consumer AI agent that lives on your home network.
I built an app (in codex), that goes through my emails, pulls out any receipts, and adds the purchases to a sqlite database. I do all my grocery shopping online (through my supermarket), so our weekly shop is stored in the database.
Hermes uses that to predict what items will need restocking (based on how often I buy it, and when I last bought it).
Every week, it logs into the supermarket website on my behalf, books a delivery slot, and adds all the items that need restocking to the shop.
Throughout the week, if I run out of something, I take a photo of the barcode and send it to hermes, it adds it to the shop for me.
I built a similar app for travel; if I have any upcoming travel, hermes will send me updates (delays, platform changes etc...). I do a lot of train travel for work, if my train is delayed, it will automatically apply for the compensation on my behalf.
It reads my emails, and pulls any actionable items out, and adds it to an Asana list. I can either do the tasks myself, or assign it to Hermes and it will do it for me. As an example, I had an task to book swimming lessons for my son, hermes monitors the swimming lesson availability and automatically booked it when a suitable one becomes available.
Shopping is a good use case, I have a clock that needed a new battery, it wasn't a standard battery, and required a screwdriver to open the compartment. I took a photo of the clock, sent it to hermes, and it found out what battery took and ordered it of Amazon for me.
I wanted to buy some smart thermostats for our radiators, but wanted to be compatiable with our current smart heating system. Hermes is connected to my home assistant, so it figured out what heating system we have and found a compatiable set of eBay (this is slightly more involved than it sounds, as there is a new version of the heating system with a new set of completely incompatiable accesories).
I don't think "it does everything" or that it has "changed my life", but all of those examples are chores, things that I don't particularly enjoy doing; and if something can take it off my plate, then it's useful for me.
As for the rest, that is a lot of tokens burned to keep a fridge stocked.
Receipt emails are in a predictable format, so codex built scripts to parse the emails. If there is a receipt email it doesn't recognise, it will use an LLM to build a parser for that kind of email once.
The agent also "self improves", so after asking once to get items to restock, it wrote a skill with the query it used in, so it doesn't burn tokens figuring it out again.
I was impressed that after it logged into my supermarket account, it inspected the network traffic and discovered a GraphQL API, and used that (instead of screen scraping); much more economic.
I've averaged 2.6 cents a day in token costs over the last month.
For me my motivation is that I’m working 9-5, my children go to bed at 8pm, and I don’t have my phone on me so I can spend time with them.
Once they’re asleep, I’ve got 2 hours to spend with my partner before bed. I’d rather actually spend time with her rather than checking if we have enough kitchen roll.
[1] https://xkcd.com/1319/
Even as an experienced developer, sandboxing an agent is not trivial. The idea of my aunt, who has her passwords on a post-it-note on her monitor and forwards me scam emails using these things is terrifying.
I'll use personal agents for my laundry now. Thanks mate for the samples given
usage-time growing fast, with tasks and cron jobs.
in the last spacex earnings report (few hours ago), Elon said he thinks their grok-bot will next year make up most of their AI inference usage across their datacenters.
basically he tried to imply these bots/personal-agents get lots of usage once users start customizing them. and it is bringing in a lot of money in API usage.
No one ever answers why that’s bad, though, or behind what. Turns out it’s behind in the procession walking towards the cliff. Maybe not such a bad idea to stay behind on that one.
> reported the findings through Meta’s bug bounty program on October 8 and also tried reaching people at Meta on LinkedIn, but got no reply either way.
Checks out
> The ease in discovering share links further justifies asking if Muse is worthy of the access it requires.
That's all you could justify?
Part of a huge problem with FAANG companies. You can't be Meta and just ratfuck your users for decades and then ask them to trust you, just like you can't be Amazon and turn your storefront into Temu-lite and expect people to want to order products sight unseen with your Echo shit.