#recommendation — HeatPulse — HeatPulse

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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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2 curated events

papersTODAY 04:00 UTC

Paper Proposes Generate-Then-Select Method for Personalized Headlines in Recommendation Feeds

A new arXiv paper addresses the problem that a single static headline for an item in industrial recommendation feeds fails to serve users with varied or niche interests. The authors propose a generate-to-explore, select-to-exploit approach that uses large language models to produce candidate headlines and then picks the one that best matches an individual user's preferences. The work targets long-tail audiences that are typically underserved by one-size-fits-all headlines.

llm/recommendation/headline-generation/personalization

papersSEP 10 04:00 UTC

Dear Algo paper describes agentic intent layer for unified search and recommendation on Threads

A new arXiv paper introduces Dear Algo, a system deployed on Threads that sits between open-ended user requests and the platform's ranking engines. It lets people steer discovery with free-form instructions such as 'more NBA news' or 'less politics', translating them into precise signals that shape both search results and recommendations. The authors outline how the intent layer is designed to handle this shared discovery objective across the two systems.

agents/search/recommendation/personalization