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ai Oct 05 Sam Altman says ‘some bad things’ will happen, but AI is totally worth it Sam Altman says society should accept harm along the way as AI delivers outsized benefits. On Politico's Decoded podcast released Monday the OpenAI CEO framed tolerated risks as the price for progress. He cited hacks scams and oth... ai Oct 05 OpenAI PR tells journalist to ‘move on’ while asking Sam Altman about a ChatGPT user’s suicide An OpenAI publicist interrupted a Vanity Fair interview when the conversation turned to a ChatGPT user who took her own life. Mark Guiducci the editor had asked Sam Altman about Laura Reiley a New York Times journalist whose daugh... ai Oct 05 Cloudflare Plans Public Certificate Authority to Issue Quantum-Safe TLS Certificates Cloudflare launches free quantum-safe CA using Merkle Tree Certificates Cloudflare will operate a free public Certificate Authority that issues TLS certificates resistant to quantum attacks. The service targets early 2027 for broa... ai Oct 05 Show HN: Recursant, the agent-aware model router built for hybrid workloads Recursant cuts AI agent costs by routing each step to the right model A new open-source proxy called Recursant sits between AI agents and model providers, picking the cheapest model that can handle each step without breaking the a... ai Oct 05 Show HN: SRA-RiskGate-4B – Local LLM for stablecoin risk gating and disputes SRA-RiskGate-4B brings automated risk verdicts to stablecoin payments A new 4-billion-parameter model fine-tuned on a 40,000-sample stablecoin risk benchmark aims to automate the approve-hold-reject decisions that currently requir... cybersecurity Oct 05 Topscan.me – a new security platform with a new approach to scanning Topscan.me consolidates three security vendors into one deadline-driven platform A new platform called Topscan.me targets companies where security is a part-time responsibility, usually handled by a CTO or DevOps lead. It combines... machine learning Oct 05 What Should World Models Forget? Stratified Retention for Continual Adaptation Stationary targets versus drifting environments Continual learning has long treated performance loss on previously observed data as a signal of failure. This convention originates from prediction settings where a correct label rem... machine learning Oct 05 RNADyn: A Benchmark for Generating and Understanding RNA Dynamics RNA conformational dynamics and the limitations of static structures RNA molecules adopt multiple three-dimensional shapes to perform cellular tasks. These conformational changes are not captured by static structures obtained from... machine learning Oct 05 LESSER: Post-Training Data Selection with Output-Layer Gradients Why Post-Training Data Selection Matters for LLM Adaptation The choice of post-training data substantially affects large language model downstream performance. This makes data curation a high-leverage activity for teams that fine-... ai Oct 05 MRVQ: One Resident Index for Dimension- and Rate-Elastic Vector Search Elastic Vector Search and the Memory-Rate-Dimension Trade-Off Dense-retrieval services operating at scale must continually adapt to shifting constraints. Latency budgets shrink, quality thresholds rise, and memory footprints becom...