461–470 of 909 posts
It eliminates any reason to use an inferior Meta or Chinese model that costs money to license, thus there are no funds for these competitors to build a GPT 5 competitor.
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What is the source that's open? Aren't the models themselves more akin to compiled code than to source code?
No, not compiled code. Weights are hardcoded values. Code is the combination of model architecture + config + inferencing engine. You run inference based on the architecture (what and when to compute), using some hardcoded values (weights).
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It's apache2.0, so by definition it's open source. Stop pushing for training data, it'll never happen, and there's literally 0 reason for it to happen (both theoretical and practical). Apache2.0 IS opensource.
It’s open source, but it’s a binary-only release. It’s like getting a compiled software with an Apache license. Technically open source, but you can’t modify and recompile since you don’t have the source to recompile. You can still tinker with the binary tho.
in future releases will they just boost the param count?
thanks openai for being open ;) Surprised there are no official MLX versions and only one mention of MLX in this thread. MLX basically converst the models to take advntage of mac unified memory for 2-5x increase in power, enabling macs to run what would otherwise take expensive gpus (within limits). So FYI to any one on mac, the easiest way to run these models right now is using LM Studio ( https://lmstudio.ai/ ), it…
In the repo is a metal port they made, that’s at least something… I guess they didn’t want to cooperate with Apple before the launch but I am sure it will be there tomorrow.
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Now to embrace jevon's paradox and expand usage until we're back to draining lakes so that your agentic refrigerator can simulate sentience.
In the future, your Samsung fridge will also need your AI girlfriend
Releasing this under the Apache license is a shot at competitors that want to license their models on Open Router and enterprise. It eliminates any reason to use an inferior Meta or Chinese model that costs money to license, thus there are no funds for these competitors to build a GPT 5 competitor.
I wouldn't speak so soon, even the 120B model aimed for OpenRouter-style applications isn't very good at coding: https://blog.brokk.ai/a-first-look-at-gpt-oss-120bs-coding-a...
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I’m still trying to understand what is the biggest group of people that uses local AI (or will)? Students who don’t want to pay but somehow have the hardware? Devs who are price conscious and want free agentic coding? Local, in my experience, can’t even pull data from an image without hallucinating (Qwen 2.5 VI in that example). Hopefully local/small models keep getting better and devices get better at running bigger…
> I’m still trying to understand what is the biggest group of people that uses local AI (or will)? Well, the model makers and device manufacturers of course! While your Apple, Samsung, and Googles of the world will be unlikely to use OSS models locally (maybe Samsung?), they all have really big incentives to run models locally for a variety of reasons. Latency, privacy (Apple), cost to run these models on behalf of c…
Just posted my initial impressions, took a couple of hours to write them up because there's a lot in this release! https://simonwillison.net/2025/Aug/5/gpt-oss/ TLDR: I think OpenAI may have taken the medal for best available open weight model back from the Chinese AI labs. Will be interesting to see if independent benchmarks resolve in that direction as well. The 20B model runs on my Mac laptop using less than 15GB…
What did you set the context window to? That's been my main issue with models on my macbook, you have to set the context window so short that they are way less useful than the hosted models. Is there something I'm misisng there?
The 120B model badly hallucinates facts on the level of a 0.6B model. My go to test for checking hallucinations is 'Tell me about Mercantour park' (a national park in south eastern France). Easily half of the facts are invented. Non-existing mountain summits, brown bears (no, there are none), villages that are elsewhere, wrong advice ('dogs allowed' - no they are not).
Others have already said it, but it needs to be said again: Good god, stop treating LLMs like oracles. LLMs are not encyclopedias. Give an LLM the context you want to explore, and it will do a fantastic job of telling you all about it. Give an LLM access to web search, and it will find things for you and tell you what you want to know. Ask it "what's happening in my town this week?", and it will answer that with the…