
Peter Welinder
2.2K posts

Peter Welinder
@npew
Devices @OpenAI


My heartfelt thanks to the @OpenAI team for bringing back the intense joy, hope & sense of an exciting, optimistic future to the age of AI, after the brief dystopian outlook of the past few weeks. In the end, you either care about humanity or you don’t. There is no in between.



i've never hyped a model release, we're generally conservative with how we use these things but gpt-5.6 has had a massive impact on our team, we're using 5x the tokens as we used to it's not even smarter than fable or anything, but it's just so reliable and fun to use

Introducing GPT-Live, a new generation of voice models for natural human-AI interaction. Rolling out in ChatGPT starting today. You’ll want to turn the sound on for this one.

GPT-5.6 Sol, along with Terra and Luna, will launch publicly this Thursday. We’re expanding preview access globally now.

Introducing a limited preview of GPT-5.6 Sol, our next generation frontier model, as well as GPT-5.6 Terra, a balanced model for efficient, everyday work, and GPT-5.6 Luna, a fast and affordable model for high-volume work. openai.com/index/previewi…


We've updated the Artificial Analysis Coding Agent Index, replacing SWE-Bench Pro with Datacurve's DeepSWE benchmark - the swap lifts Codex with GPT-5.5 (xhigh) above Claude Code with Opus 4.8 (max), while the newly released Claude Fable 5 (max) in Claude Code debuts at the top DeepSWE, built by @datacurve, writes its tasks from scratch rather than adapting them from public GitHub issues or pull requests, so no model has seen the solutions during training. That matters because SWE-Bench Pro, the benchmark it replaces in our Coding Agent Index, had grown gameable, with some models recovering the fix from the repository's commit history instead of solving the task. The swap reorders the index: Codex with GPT-5.5 (xhigh) rises from 65 to 76, overtaking Claude Code with Opus 4.8 (max) at 73. Claude Code with Fable 5 (max), which enters directly on the refreshed index, leads at 77. SWE-Bench Pro had been flattering some combinations and penalizing others. More below.

Day 3 with Fable. Gave a huge prompt to implement a feature across CLI, web server, and another server to both Fable and deep^2 in Amp. deep^2 was done before I went to the gym. It stopped short. Sent another prompt. $20. Fable ran for 1hr40min and cost $350. Results: They both understood the assignment and built the same thing. Maybe that's due to my prompt. Fable's worked on first try. Well done. Deep's looks correct but didn't work on first try. $20 vs. $350. I'm sure I could get deep^2 to make it work and we'd end up at, what, $40? While Fable is now at $457 after I asked some follow-up questions.











