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- Hacker News
- The "personal AI agent" is what everyone's fighting over now. You have Grok Bots, Facebook's Muse, and Instinct doing this exact same thing already. Personally, I think Instinct is the best of the 3 right now. It's a bit like OpenClaw, abstracting everything behind iMessage or WhatsApp but you can ask it to monitor your email inbox, hand off a task like check for apartments that fit a certain criteria (and it gets back to you days later when a new one is posted), or ask it to check in every so often. But the landscape changes so often who knows what will happen. I think Instinct will get eaten up by one of the larger firms.by jdlyga
- > excluding the European Economic Area, Switzerland, and the UK
https://help.openai.com/en/articles/20001530-getting-started...
by tosh - There's a lot of negativity in here for Dots. I've been a pretty heavy user of Grok Bot, and here are a few thoughts a long the positive line.
1. Collaboration between always-on agents is a really, really powerful thing. It allows for domain-specific expertise that doesn't overload the context window, while still allowing for access to knowledge if they need it.
2. Domain-specific always on agents creates a good barrier of trust. One of the things I dislike about Claude is sometimes it's memory is all-encompassing. It's weird that it brings up things about my personal life when I'm talking about something related to my business. I've never had that happen with Grok Bot bots because I have one for my biz admin and one for my personal admin. They don't intertwine, which is quite nice.
3. Combined with cloud agents / cloud builds, things become really powerful for development. It was the first time that I felt there was a solution to the git worktrees / multiple streams at once issue. Each bot has its own computer and can spin up additional cloud agents. It comes at the cost of end to end speed - doing something via a grok bot often takes an hour end to end, whereas with a synchronous local prompt it'll take like 10min. The difference is I have to babysit one whereas the other "just works".
On the flip side, since using Grok Bots my inference spend has 2-3x'd. It's worth knowing that tradeoff. Nonetheless I think Luna is a fantastic driver for these, and OAI has very good pricing overall. I'd give these a shot - I think a lot of people would be surprised how helpful they are.
by jjcm - This is one part of AI I hadn’t success with. I have very little need to run Agents over night, as my throughput is limited by my approval. Each work usually needs revisions, sometimes the bug is just a symptom of the root problem, sometimes I need to rethink how users want to use the app. Sometimes I need research.
I get how i prefer an already researched-version of a bug versus a raw bug notice, but I can do this with webhooks in the correct environment.
I really have no idea what to do with my agents over night. I can not build more. I can not think of more problems. My RAM is full.
by jwpapi - Muse, Dots, and other always-on agents may be the end of the PC era. Once you’re asking agents to do things on their own virtual machines, it’s game over. Everything moves to the cloud
Anyone wondering "why would I use this when I can use (OpenClaw|Hermes|my own computer)" -- these new services are not really meant for you. They're meant for the non-tech savvy and for the next generation of AI-natives who won't know anything other than how to use these type of services
For your casual user, these services will be hard to beat, since they’ll handle all the expensive and hard parts of using computers. No computer purchase necessary, no troubleshooting with tech support, etc. They’re also scalable where you could have not just one agent with one computer at any time, but many
In return, the agent providers would own your compute and data. I can even see them offering this low cost or for free so they can train off of users. Lock in would be insane
For privacy reasons, I really hope we find equally useful, private alternatives on our own hardware
by jameslk - The lines between Codex, ChatGPT Work, and Dots is getting a bit blurry to me. I think the target should be a remote agent(s) in its own sandbox with long memory, and all three are heading in that direction so why have the distinctions?
Unless Dots is dramatically more capable than Muse, I'm also more bullish on Muse than Dots. I think Muse is a better consumer play because it can be forever subsidized by Meta ads and find distribution in family of apps while Dots is in a weird place between consumer & professional. From the release, it also sounds like you'll have to pay per Dot at some point which doesn't sound appealing.
by wxw - I feel like a lot of these always on agents tie users deeply into the platform. Unlike models that you can swap between with relative ease, with an agent because of the integrations to other platforms, work history and so on it would be harder to switch, since in effect they are essentially your computer on the cloud.
Tin foil hat version of me thinks that all the closed model companies want to desperately build an abstraction layer on top of the model, so that they can limit access to the model directly and build a locked down relationship with the user.
Other inference providers should counter this by providing their own version of standardized managed agents.
Coincidentally, I published a note on my blog just about this today https://aditya.rs/blog/2026/09/29/inference-providers-should...
by aditya_rs - OpenAI won a lot of good favor for the generous Codex subscription and the efficiency of their models, but now that many people have switched over from Claude, they think they can leverage their position to peddle a stream of unnecessary products, and crack down on the generous limits[1] that brought everyone to Codex in the first place.
Anthropic did the same thing. Earlier this year, Claude subs and Claude Code took off because of the subscription's incredible capability and value, then once they gained enough users, they started focusing on unnecessary products no one asked for (see Claude in Slack), and eventually lost their lead. After losing a bunch of customers to Codex subs they realized their mistake, and now they're shipping again.
AI companies are bad at making software; they are good at making AI models. And that's about it.
by johnfahey