292 summarised stories about Model Training, each linking back to the original source. Browse all topics →
TechCrunch 1 month ago 5 ● 30 sources
Garry Tan said regulators should stay out of distillation and argued that U.S. open-weight AI labs should be allowed to distill frontier models. He specifically called for an “American distillation regime.” This would broaden the set of permitted open-weight options in the U.S., aiming to prevent frontier model power from concentrating in a single proprietary provider.
Apple Machine Learning Research 1 month ago 17
SimpleDesign introduces an end-to-end protein design model that jointly generates amino-acid sequences and 3D structures instead of using a two-stage latent-space pipeline. SimpleDesign is trained on over 2M sequence–structure pairs. As a result, it uses a single-stage objective with sequence cross-entropy and structure regression while employing Transformer-based multimodal backbones, achieving competitive performance on co-design and unconditional generation benchmarks.
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24 October 2026
Open-weight models are moving from “interesting” to “in the room,” and today’s proof comes with receipts. Moonshot AI’s Kimi K3.1 Pro lands as an open-weight flagship with a projected path to narrow the gap to top proprietary systems—from 12 points down to 3 on Artificial Analysis’s Intelligence Index—if Moonshot publishes the weights by Nov. 4. In the latest scoring snapshot, Kimi K3.1 Pro sits at 55 points, placing fourth overall behind Claude Opus 5.5 and Claude Sonnet 5.5. The model also targets a practical pain point: improved agentic workflow performance with lower hallucinations, alongside cheaper API token costs than its predecessor.
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