Comment by surrTurr
12 hours ago
- looks like OpenAIs answer to Claude Code Desktop / Cowork
- workspace agent runner apps (like Conductor) get more and more obsolete
- "vibe working" is becoming a thing - people use folder based agents to do their work (not just coding)
- new workflows seem to be evolving into folder based workspaces, where agents can self-configure MCP servers and skills + memory files and instructions
kinda interested to see if openai has the ideas & shipping power to compete with anthropic going forward; anthropic does not only have an edge over openai because of how op their models are at coding, but also because they innovate on workflows and ai tooling standards; openai so far has only followed in adoption (mcp, skills, now codex desktop) but rarely pushed the SOTA themselves.
Also interesting that they are both only for macOS. I’m feeling a bit left out on the Windows and Linux side, but this seems like an ongoing trend.
my guess is that openai/anthropic employees work on macOS and mostly vibe code these new applications (be it Atlas browser or now Codex Desktop); i wouldn't be surprised if Codex Desktop was built in a month or less;
linux / windows requires extra testing as well as some adjustments to the software stack (e.g. liquid glass only works on mac); to get the thing out the door ASAP, they release macos first.
We did train Codex models natively on Windows - https://openai.com/index/introducing-gpt-5-2-codex/ (and even 5.1-codex-max)
I appreciate this (as a Windows user) but I'm also curious how necessary this was.
Like I notice in Codex in PhpStorm it uses Get-Whatever style PowerShell commands but firstly, I have a perfectly working Git-Bash installed that's like 98% compatible with Linux and Mac. Could it not use that instead of being retrained on Windows-centric commands?
But better yet, probably 95% of the commands it actually needs to run are like cat and ripgrep. Can't you just bundle the top 20 commands, make them OS-agnostic and train on that?
The last tiny bit of the puzzle I would think is the stuff that actually is OS-specific, but I don't know what that would be. Maybe some differences in file systems, sandboxing, networking.
A lot of companies that use Windows are likely to use Microsoft Office products, and they were all basically forced to sign a non-compete where they can't run other models- just copilot.
I'm so sick and tired of the macOS elitism in the AI/LLM world.