I decided to go to DC next week to discuss directly with policymakers. Not sure about the impact it will have, but with everything going on, it seems like a good time to speak more about open-source AI, transparency, the concentration of
OPEN SOURCE
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zAI promises an open source Mythos model before 2027
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The founder of zAI, the company that published GLM-5.2, says that a Mythos-class model will be released before the first quarter of 2027. Or, in other words: He believes that open source will not remain seven months behind Frontier Labs, but will catch up.
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Codex creates OSS grant from app screenshot and logs
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Codex continues to blow my mind everyday! Had to make an ad hoc Codex for OSS grant today, and all I did was send codex an app shot and "can you take care of this?" Codex went and looked through my slack DMs/ chats and chronicle logs to find an API @jxnlco
's codex made couple -
North Mini Code on Ollama for local execution with Codex and OpenClaw
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North Mini Code is now supported on @ollama. Now run our model locally and use it with Codex, OpenClaw, and more. Download it here: https:// cohere.link/SVwVbGZ
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4-bit quantization available for open-source agentic model on Mac
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4-bit quantization is now available, making our first open-source agentic coding model small enough to run on a Mac. Get the weights here:
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Open weights models valuable but incentives unclear compared to open source
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I know I keep harping on this theme but open weights models are quite valuable to AI users, and people seem to assume that they will always keep up as training costs grow, but I don’t really understand the incentives as opposed to open source, which was much clearer
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Business model for profitable frontier open weights model training?
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Is there a business model for being profitable off training frontier open weights models? Other people can host, fine-tune, consult etc. as least as cheaply as you can. There are no ancilary product sales & it is fantastically expensive to make compared to most open source work
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Debate on most capable open-weight LLM averaged across benchmarks
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I don’t disagree. Let’s say most capable open-weight LLM when averaged over all major benchmarks (reasoning, coding, logic, tool use, math, knowledge)
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Prediction: opensource AI victory in under two years
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Prediction Absolute victory for Opensource AI within < 2 years