#test-time-compute

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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

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papersTODAY 04:00 UTC

arXiv paper studies how evidence ordering shapes streaming test-time compute

A new arXiv paper argues that reasoning policies for a fixed task and compute budget should change depending on the order in which evidence arrives. It frames this as an "information-slack dilemma": computing early leaves more time to finish but relies on incomplete evidence, while waiting yields better information at the cost of fewer remaining steps. The authors contend that depth and width alone do not capture this tradeoff, which streaming settings must account for.

test-time-compute/reasoning/arxiv/llm

papersTODAY 04:00 UTC

Elo-per-token Analysis Measures Test-Time Scaling in LLM Agents

A new arXiv paper proposes an Elo-per-token method to assess how LLM agents spend test-time compute while revising answers, calling tools, exploring options, and deciding when to stop. Because agents allocate that compute adaptively, conventional measures struggle to capture how their performance scales, which the authors aim to address with their token-level rating approach.

agents/llm-agents/test-time-compute/benchmarks