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MisVisAgentBench: Misleading Charts Cut Web Agent Success by 34 Percentage Points
The new MisVisAgentBench tested 13 visual web agents on 280 tasks. Swapping an honest chart for a distorted one cuts the success rate by more than 34 percentage…

Conversational Model Benchmark: GPT Realtime and Gemini Respond at Almost Every Pause
Researchers tested whether voice models can stay silent: on 427 pauses, APIs from OpenAI, Google and xAI almost always respond. Only Moshi and PersonaPlex hold back.

Linear Head on Qwen3-VL Beats GPT-4o at Scoring Answers Without Human Labels
A vision-language reward model with no human labels: a few thousand parameters on a frozen Qwen3-VL 32B beat GPT-4o on VL-RewardBench by 6.6 points.

MagicBeanStalk lifts gpt-oss-120b from 61.2 to 69.8 points on math

CLEAT Teaches Qwen3-4B Agents to Ask for Clarification at the Right Time: Up to +13.2 pp

SpireBench Puts 20 LLMs Through a Full Run of Slay the Spire: Experts Still Ahead

Beijing Moves to Calm A-Shares After Tech Selloff Over US Sanctions Fears

DBS chief: market is reassessing AI investment risk and will tighten financing
The CEO of Southeast Asia's largest bank, Tan Su Shan, says the market is repricing AI buildout risk and lenders will become more selective.

Refactoring C++ in OpenBMC: How an AI Agent Fought a 280-Line Function
A developer asked an AI to help with OpenBMC's createSensors function, which crams 12 tasks into 280 lines. The agent proposed 7 concrete improvements and split the…

Runpod shows how to run diffusion models on JAX in GPU pods

Runpod Sponsors TreeHacks 2026: 36 Hours of GPU Compute at Stanford

RunPod Breaks Down 4 Quantization Methods: Going From FP16 to INT4 Cuts Memory 4x

UK to strengthen cyber defenses and demand more safety from AI labs

FrontierCode: Top AI Models Fail Maintainer Review in 42% of Attempts
Cognition and Artificial Analysis launched FrontierCode 1.1: Claude Opus 5.5 leads with 52% and a 58% pass rate, at $10.15 per task. GPT-6.1 Sol scores 49% for…

HACE Co-Trains a Domain Specialist and an LLM Agent Across Three Domains
The HACE framework co-evolves a domain model and an LLM agent as a pair. On the main metrics, it beat self-improvement methods in recommendations, biology and…









