Lots of conflicting takes about gpt-oss (yay open-source in the spotlight)! We’re powering the official @openai demo with HF inference providers thanks to @FireworksAI_HQ, @CerebrasSystems, @GroqInc and @togethercompute so we have a front-row seat of what’s happening. Something to remember: inference for new frontier open models isn’t easy, especially with a new format like harmony and the volume of interest that gpt-oss is getting out of the gate. Early spikes can temporarily affect quality, accuracy, and overall "vibes," particularly just 24 hours post-release when providers are racing against the clock with barely any sleep! Some advice to avoid forming the wrong opinions: - If you care about getting vibes as fast as possible, use a hosted setup that gives you a diversity of providers like HF inference providers ( and follow official standard guides ( - If you can, try it on your own hardware from the HF model pages ( which are usually good sources of truth with transformers and vLLM (keep in mind that you can make mistakes in generation there too) - Chill and take X hot takes with a grain of salt. Even if the first days can be confusing, the power of open-source is that there’s no cheating so we’ll uncover all the strengths and limitations of these models progressively! Personally, I think this is a landmark release by the @OpenAI team, the kind we will remember in 10 years because of its implications. Can’t wait to see what the future holds 🚀🚀🚀

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