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For those who are interested in a self-hosted version of the same concept, I've been working on something like this here: https://github.com/smartcomputer-ai/lightspeed
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>GPT Work runs on your own machines...is sort of the whole point. Which is also why they want to remove it from your machine. Call it conspiratorial, but I keep thinking about "You'll own nothing and be happy." It seems like the industry is quickly moving in a direction where devices are turning into gateway into the cloud, and personal computing will turn into a hobby that prices out the average individual.
I mean, they didn't say "you can't download the product of your work" or something.
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> building your own harness is a huge undertaking, a deep rabbit hole. I eventually gave up on this task. It's not possible to fight OpenAI or Anthropic's engineering teams. Their reasoning models have all kinds of undocumented back door access to the base models that you'd never be able to replicate from the outside. Even if you had full access you would not have the engineering man hours or experience to keep up. I…
> It's not possible to fight OpenAI or Anthropic's engineering teams And yet, I find Pi so much better to work with than Claude Code.
I think we’re still figuring out the right abstraction for offering agents as a product. - LLMs are a great foundation but building your own harness is a huge undertaking, a deep rabbit hole. - There are harnesses available as open source libraries but that’s still coupled to an environment. Where does the state persist? Like maybe I’m a Cloudflare worker and don’t even have a file system. Agent as a service like thi…
> building your own harness is a huge undertaking, a deep rabbit hole. I eventually gave up on this task. It's not possible to fight OpenAI or Anthropic's engineering teams. Their reasoning models have all kinds of undocumented back door access to the base models that you'd never be able to replicate from the outside. Even if you had full access you would not have the engineering man hours or experience to keep up. I…
When you're using ChatGPT/Claude/Gemini etc. you're basically already interacting with some backend harness with tools etc., not a raw LLM. Just give it a computer and be done with it.
I already find myself using Claude Code / Antigravity (via web) instead of Claude / Gemini, even for tasks unrelated to coding. Why use a limited version?
I've recently had great success running codex in a regular qemu VM and using codex remote control to talk to it from my phone. Honestly works extremely well as a personal assistant. I can see why turning it into an API makes sense, just be aware you might not need to lock yourself in if you can setup your own VMs.
I think the line between regular LLM "endpoints" and agents/harnesses is going to become more and more blurry until it's a meaningless distinction. When you're using ChatGPT/Claude/Gemini etc. you're basically already interacting with some backend harness with tools etc., not a raw LLM. Just give it a computer and be done with it. I already find myself using Claude Code / Antigravity (via web) instead of Claude / Gem…
Buried in there, note you can opt to self-host your sandbox https://developers.openai.com/api/docs/guides/agents-api/env... That makes this much more enticing, and potentially eases transition between providers.
Since a week or so everything I ask codex to do, no matter how small, uses at least 1% of my weekly limits and like 5% of my 5h limit. It's getting so bad I'm thinking of just canceling my OpenAI subscription, because this has no use anymore.
I also signed up for a new account and it's right back to working how it used to. They absolutely do not consume tokens equally across accounts. I did TONS of work on the new account and barely made a dent, even on Astra. Old account chews through 20% like it's nothing