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Thinking Machines Lab published a report arguing AI should be distributed and customizable by users, not frozen after training. The lab proposes four technical directions, including tools like Tinker for fine-tuning open-weights models such as Llama and Qwen via LoRA. It frames alignment as many owned models, not a single central spec.
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