arXiv:2610.16108v1 Announce Type: new Abstract: Maintaining up-to-date clinical practice guidelines (CPGs) is essential for evidence-based medicine, but…
Bluesky’s AI tool now lets you make games and apps to share on social
Bluesky’s Attie AI tool, which initially launched earlier this year as a way to use AI to build your own feeds, now lets you make “small” social apps like…
Beyond Single-Pathogen Forecasts: Predicting Shared Respiratory Hospital Burden from Influenza, COVID-19, and RSV
arXiv:2610.16074v1 Announce Type: new Abstract: Co-circulating influenza, COVID-19, and respiratory syncytial virus (RSV) create a shared…
AI News Brief Hourly Summary 2026-10-15 22h : 18 posts
18 posts published in the last hour 19:33Large language model-generated patterns for epidemiological modeling: a multi-benchmark evaluation framework 19:33Anthropic is letting METR researchers look under the hood with employee-level access 19:33Handoff Curves: Initial Selection, Later Handoff, and Supervision Targets in…
Large language model-generated patterns for epidemiological modeling: a multi-benchmark evaluation framework
arXiv:2610.15994v1 Announce Type: new Abstract: Representing individual-level behavioral heterogeneity is challenging in epidemiological modeling,…
Anthropic is letting METR researchers look under the hood with employee-level access
METR will publish its own assessments of Anthropic’s risks, incidents, and practices, and the frontier AI model maker has given up the right to block them.
Handoff Curves: Initial Selection, Later Handoff, and Supervision Targets in Multi-turn LLM Routing
arXiv:2610.15993v1 Announce Type: new Abstract: We study how initial model selection, later handoff, and training targets affect success and cost in LLM…
Meta Launches Muse Wonder and Muse Wonder Full: Benchmarks, Pricing and How to Use It
Meta released Muse Wonder and Muse Wonder Full, 1M-context agent models. Muse Wonder costs $4/$20 per million tokens on Meta Model API. Wonder Full, on…
Cross-Protocol Personality Assessment with LLMs: Aligning Behavioral Evidence with Human Ratings
arXiv:2610.16050v1 Announce Type: new Abstract: Personality assessment from asynchronous video interviews (AVIs) plays a crucial role in recruitment by…
Oyster’s 2026 Global AI Talent Report Finds AI Skills Are Outpacing Job Definitions
Oyster’s 2026 Global AI Talent Report points to a mismatch at the center of workplace AI adoption: the skills employees are expected to use are changing…
Understanding and Reducing Misalignment in Persuasion Optimization
arXiv:2610.16070v1 Announce Type: new Abstract: Frontier models are now trained for complex multi-agent tasks, from running a company to engaging in…
Aligned Launches Seller Agent to Turn Deal Context Into Sales Execution
A good sales meeting can create an afternoon of administrative work. The buyer wants a revised business case, finance needs a calculator, and the…
Computational Reflective Equilibrium for Agentic AI: A Rawlsian Alignment Scaffold for Governance
arXiv:2610.16015v1 Announce Type: new Abstract: The rapid deployment of agentic AI has introduced complex challenges for the ethics and governance of AI…
Small but Mighty: Test Suites as Improvement Signals for Self-Evolving Agents
arXiv:2610.15964v1 Announce Type: new Abstract: A self-evolving agent rewrites its own harness and must decide which rewrites to keep, so its improvement…
Vision: “What Don’t I Know About User’s Preferences?” How Uncertainty Estimation Improves Proactive Assistant Alignment
arXiv:2610.15948v1 Announce Type: new Abstract: Proactive Smart Assistants (PSAs) increasingly use general knowledge, learned patterns from group-level…
Muse Spark Open is Meta’s answer to Qwen, GLM, and Kimi in the open-weight race
Meta’s Muse Spark Open is a new open-weight model with 816 billion parameters that processes text, images, video, and audio with up to one million tokens…
PopGen: Generating Semantically Diverse Populations for Zero-Shot Coordination
arXiv:2610.15969v1 Announce Type: new Abstract: In multi-agent reinforcement learning, exposing a cooperator to partners with diverse strategies during…
Cerebras CEO says we’re nearing a future where everyone has a personal AI assistant at home
Cerebras CEO Andrew Feldman predicts a future where personal AI assistants become as commonplace as household appliances, running partly on local devices…
