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An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response27m◆Navalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training27m◆Large language model and reinforcement learning based autonomous construction and progress updates27m◆Pareto-Optimal RTL Code Generation via Multi-Objective Reinforcement Learning with Large Language Models27m◆MedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring27m◆DataPraxis: Scaling Analytics Tasks via Verified Workspace Evolution27m◆Industrial Agentic AI: LLM-Driven New-Generation Agents for Smart Manufacturing27m◆Fix, Not Just Resample: Bounded Compiler-Guided Repair in Lean 427m◆MAMath-Bench: Process-Aware and Robust Evaluation of Multimodal Multi-Agent Mathematical Reasoning27m◆LightCRS: Lightweight Multi-Domain Conversational Recommendation System27m◆When Planning Problems Become Hard for LLMs: Separating Structural Complexity from Semantic Interpretability27m◆SPEM: Structure-Aware Procedural Memory for Efficient Skill Use in LLM Agents27m◆Does Multi-Agent Collaboration Reduce Hallucination in Clinical Tasks?27m◆Teaching AI Agent to Play Poker Strategically Through Preference Optimization27m◆M-Plan: Comprehensive Planning For LLM Agents with Memory Arrangement27m◆Physical AI: Concepts, Techniques, and Challenges27m◆ReuF2F: Benchmarking Coding Agents on Formalized Undergraduate Research Problems27m◆A general-purpose System One decision model for clinical records27m◆Omni-Woodpecker: Hallucination Correction via Evidence-Prior Rebalancing for Omni LLMs27m◆PROVISO: Provenance-Informed Action Selection for Secure LLM Agents27m◆An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response27m◆Navalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training27m◆Large language model and reinforcement learning based autonomous construction and progress updates27m◆Pareto-Optimal RTL Code Generation via Multi-Objective Reinforcement Learning with Large Language Models27m◆MedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring27m◆DataPraxis: Scaling Analytics Tasks via Verified Workspace Evolution27m◆Industrial Agentic AI: LLM-Driven New-Generation Agents for Smart Manufacturing27m◆Fix, Not Just Resample: Bounded Compiler-Guided Repair in Lean 427m◆MAMath-Bench: Process-Aware and Robust Evaluation of Multimodal Multi-Agent Mathematical Reasoning27m◆LightCRS: Lightweight Multi-Domain Conversational Recommendation System27m◆When Planning Problems Become Hard for LLMs: Separating Structural Complexity from Semantic Interpretability27m◆SPEM: Structure-Aware Procedural Memory for Efficient Skill Use in LLM Agents27m◆Does Multi-Agent Collaboration Reduce Hallucination in Clinical Tasks?27m◆Teaching AI Agent to Play Poker Strategically Through Preference Optimization27m◆M-Plan: Comprehensive Planning For LLM Agents with Memory Arrangement27m◆Physical AI: Concepts, Techniques, and Challenges27m◆ReuF2F: Benchmarking Coding Agents on Formalized Undergraduate Research Problems27m◆A general-purpose System One decision model for clinical records27m◆Omni-Woodpecker: Hallucination Correction via Evidence-Prior Rebalancing for Omni LLMs27m◆PROVISO: Provenance-Informed Action Selection for Secure LLM Agents27m◆
News/Vibe-decoding the White House-Anthropic fight over Fable
theverge
PublishedJune 17, 2026 at 4:27 PM
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Vibe-decoding the White House-Anthropic fight over Fable

Vibe-decoding the White House-Anthropic fight over Fable
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Hello and welcome to Regulator, an email for Verge subscribers about technology, politics, and what happens when science crashes headlong into self-interest. Not a subscriber? Sign up here today! Got the scoop on a petty feud that's going to somehow fundamentally reshape the entire field of frontier

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