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Chen et al.

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18:31
2026-08-10
pub.towardsai.net
artificial-intelligence

[Checklist] Auditing Quantized LLMs Before Deployment

A new analysis warns that compressing large language models to 4-bit or 8-bit formats for edge deployment can erase safety guardrails, a phenomenon called 'alignment collapse,' with activation safety …

20:28
2026-08-04
lesswrong.com
ai-safety

Does Your LLM Trust You?

A study by an anonymous researcher, conducted as part of Neel Nanda's MATS 10.0 stream, found that linear 'trust' vectors extracted from the residual streams of Llama-3.2-3B-Instruct and Llama-3.1-8B-…

13:32
2026-07-31
discuss.huggingface.co
machine-learning

PIN v2. Choosing a model's size and speed before you train it

A new neural network compression method called PIN v2, developed by an unnamed research team, allows model size and speed to be chosen in advance by tying groups of cells to hold identical values, kee…

20:44
2026-07-30
lesswrong.com
ai-research

Hint-based CoT faithfulness evals still mostly work on Claude

Redwood Research finds that hint-based chain-of-thought faithfulness evaluations still work on Claude models, contradicting Anthropic system card claims that recent models no longer use hints. The rep…

04:55
2026-07-24
completeskeptic.com
artificial-intelligence

Is it even possible for the Chinese Labs to distill US models?

Ex-OpenAI AI researcher and co-author of the original RLHF paper argues that Chinese labs cannot effectively distill US frontier reasoning models because these models do not return full reasoning trac…

05:58
2026-05-30
lesswrong.com
ai-safety

Belief manifolds, and how to steer along them

A BlueDot Technical AI Safety Project researcher reproduced a study from Goodfire demonstrating that language model representations form curved geometric manifolds, not simple linear directions. The w…

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