All Articles
17869 articles total
scBench-Long: Verifiable Benchmarking of Long-Horizon Single-Cell Biology
scBench-Long is a new verifiable benchmark for long-horizon single-cell biology, testing an AI agent's ability to recover scientific conclusions from raw data.
IDEA: Insensitive to Dynamics Mismatch via Effect Alignment for Sim-to-Real Transfer in Multi-Agent Control
IDEA is a sim-to-real transfer method for multi-agent control that uses effect alignment to remain insensitive to dynamics mismatch.
Why have papers by one of history's most famous physicists been retracted?
Discussion regarding the retraction of scientific papers by a famous physicist.
A forgotten social media post may hold key clues to Covid-19's origin
Analysis of a social media post potentially providing clues about the origins of Covid-19.
The AI backlash is only getting started
Opinion piece discussing the growing backlash against AI integration and adoption.
Of course Meta thinks gambling is the future
Meta is reportedly developing a prediction market app, continuing its trend of cloning successful social mechanics.
SpaceX plans to launch Starlink mobile service in the US
SpaceX plans to introduce Starlink mobile services in the US to compete in the mass-market phone business.
Evaluation-Strategy Gap in Fault Diagnosis of Deep Learning Programs
Research on the 'Evaluation-Strategy Gap' in fault diagnosis for deep learning programs, highlighting how within-program cross-validation can be inadequate.
Temporal Validity in Retrieval Memory: Eliminating Stale-Fact Errors for AI Agents over Evolving Knowledge
Introduction of MemStrata, a retrieval memory system for AI agents that eliminates stale-fact errors in evolving knowledge bases without requiring LLM calls.
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting
A new framework combining Gated Bottleneck Latent ODEs and multi-path fine-tuning for forecasting biopharmaceutical cell culture processes.
The Inattentional Gap: Task-Conditioned Language and Vision Models Omit the Safety-Critical Signals They Can Otherwise Report
Researchers identify the 'Inattentional Gap,' where task-conditioned AI models ignore safety-critical signals they are otherwise capable of detecting.
\textsc{DiARC}: Distinguishing Positive and Negative Samples Helps Improving ARC-like Reasoning Ability of Large Language Models
DiARC is proposed as a method to improve LLM reasoning on ARC-like tasks by training models to distinguish between positive and negative samples.
Incident CVE-2026-LGTM
Discussion regarding a security incident identified as CVE-2026-LGTM.
Ultrasound Imaging of the Brain
Discussion on the application of ultrasound imaging for brain visualization.
The best thing that has ever happened for multiplayer games
Community discussion regarding a significant positive development for multiplayer gaming architecture.
Anthropic’s Mythos mess is only getting worse
Anthropic's Mythos-class models remain offline following a government ultimatum, with no clear timeline for their return.
3D Spatial Pattern Matching
Researchers propose extending spatial pattern matching to 3D to better handle real-world entities with height, introducing a new subgraph matching algorithm.
Localizing RL-Induced Tool Use to a Single Crosscoder Feature
The study introduces Dedicated Feature Crosscoders (DFC) to isolate RL-specific features in LLMs, enabling better control and capability transfer for tool-use behaviors.
Retrieval-Warmed Energy-Based Reasoning: A Five-Arm Ablation Methodology for Diffusion-as-Inference on Structured Reasoning Tasks
A study on Retrieval-Warmed Energy-Based Reasoning (RW-EBR) uses a five-arm ablation methodology to analyze diffusion-as-inference for structured reasoning tasks.
Adaptive Evaluation of Out-of-Band Defenses Against Prompt Injection in LLM Agents
Research evaluates 'out-of-band' deterministic defenses against prompt injection in LLM agents, finding them more resilient than 'in-band' detection.