#activation-steering

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5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.8 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.4 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.4 VoiceCodeBench arXiv paper proposes benchmark for exact structured-token recovery in speech recognition — 1 src1.4 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text — 1 src1.4 Study Analyzes Self-Reported Limitations in NLP Research — 1 src5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.8 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.4 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.4 VoiceCodeBench arXiv paper proposes benchmark for exact structured-token recovery in speech recognition — 1 src1.4 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text — 1 src1.4 Study Analyzes Self-Reported Limitations in NLP Research — 1 src

2 curated events

papersTODAY 04:00 UTC

arXiv Paper Targets Reasoning-Critical Neurons to Steer LLM Inference

A new arXiv preprint proposes locating the specific neural components that matter most for reasoning tasks, then modifying model activations to steer outputs accordingly. The authors argue this approach can make inference on hard problems more dependable without extra post-training or costly sampling. The work is presented as a way to improve reliability and efficiency during deployment.

research/interpretability/llm-reasoning/activation-steering

papersTODAY 04:00 UTC

arXiv paper compares off-the-shelf persona vectors with targeted steering for sycophancy

A new arXiv preprint examines sycophancy, the tendency of language models to agree with users even when the user is wrong. The authors build on earlier work that derived sycophancy persona vectors and used activation steering to control the behaviour, and they test whether generic, off-the-shelf persona vectors can match purpose-built steering methods. The results suggest the simpler approach performs competitively.

sycophancy/activation-steering/interpretability/alignment