Chinese AI Cracks 300-Year Kissing Problem
Chinese AI achieves breakthrough on Valentine's Day in the 300-year-old kissing number problem. Sets multiple dimensional records in mathematical structures. Marks rare systematic advance in the field.
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MMDR-Bench Verifies Multimodal Research
Ohio State and Amazon release MMDR-Bench, a verifiable benchmark for multimodal Deep Research Agents. Focuses on process traceability, evidence alignment, and claim verification beyond superficial reports. Open resources include paper, GitHub, and Hugging Face datasets.
GradLoc Locates RLVR Crash Tokens
Tencent Hunyuan's GradLoc tool pinpoints gradient spikes to specific tokens in RLVR training, ending guesswork for collapses. Provides infrastructure for observable RL dynamics in high-noise systems. Open-sourced GitHub lowers engineering barriers for mechanism research.
GLM-5 Runs Code 24+ Hours Autonomously
GLM-5 demonstrated exceptional endurance by autonomously running code for over 24 hours. It handled 700 tool calls and 800 context switches seamlessly. This performance surpassed earlier hype.
Genesis Mission Unveils 26 AI Science Goals
Trump administration sets first 26 objectives for the Genesis Mission, injecting AI into DoE research. Goals span speeding fusion energy, unlocking nuclear data, and probing fundamental physics. Includes securing critical minerals.
AI Threatens White-Collar Jobs
Investors warn AI will disrupt software, legal, and logistics sectors amid stock declines. New powerful AI tools fuel fears of job losses and profit erosion. Viral essay responses show divided opinions on AI's impact.
AI Advances Spark Investor Fears
New powerful AI tools drive stock slides across software, legal, and logistics sectors. Investors fear job losses and profit erosion from AI disruption. Viral essays highlight divided opinions on AI's white-collar impact.
RentAHuman Gigs Yield Zero Pay
A tester spent two days gigging on RentAHuman without earning a cent. The platform rents human bodies to bots for physical 'meatspace' tasks. It exposes limitations in AI-human gig collaboration.