NEW: Qwen 235B A22B Vision Language Model is OUTT! Apache 2.0 licensed and upto 1 Million context length
OPEN SOURCE
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Open Source Revenue Sharing and Legal Framework Considerations
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Then if the book later makes money you can pull the list of sponsors from GitHub (there's an export CSV button) to share proceeds with them Setting up a legal framework around this would be a whole lot more work though
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Anthropic’s Closed Model Strategy: Profit Over Open Source
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Dario Amodei contorts himself into a pretzel to justify why Anthropic’s models aren’t open source. (The real reason is that he needs to make money, but that doesn’t play well with the “save the world” pitch.) https://t.co/hbc4cMvGFL
— Pedro Domingos (@pmddomingos) 23 septembre 2025Dario Amodei contorts himself into a pretzel to justify why Anthropic’s models aren’t open source. (The real reason is that he needs to make money, but that doesn’t play well with the “save the world” pitch.)
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Nvidia Nemotron’s Superior Performance Influences Llama Model Improvements
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Historically Nvidia’s Llama Nemotron models always outperformed the official Llama variants, and I am sure the llama team took a look at what they did to improve their own pipeline. I am sure they benefited from this, and this wouldn’t have been possible without open source.
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Community Fine-tuning Benefits for Model Developers
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I think finetuned models can also be a benefit for the developers. Ie developers may release a base model, and the community applies continued pretraining and finetuning to make a Math, Code, Instruct, Reasoning variant etc so the developers don’t have to.
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LoRA and Quantization Methods Origins in Open Source Research
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Hm, I am pretty sure that LoRA, Adapters, etc all came from open source research communities. Also many (post)quantization methods.
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ChatGPT and Claude Struggle with Deprecated Code in Open Source
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One problem for chatgpt, Claude or any other platform for developers. These all provide deprecated code when we search anything related to open source libraries or frameworks which gets regularly updated. Another problem is going through the documentation, it takes a lot of time
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LM Studio and Llama.cpp Developers Invited to Event
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yeah, i will will also invite @lmstudio
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LFM2 Releases Efficient 2.6B Model Outperforming Larger Models
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LFM2 gets a new 2.6B model! With 30 layers mixing convolution and attention, it's a tiny powerhouse that outperforms other 3B models. Really proud of this one, it achieves surprisingly complex tasks for such a small size!