Category: Artificial Intelligence

• The AI Layoff Trap
• Long Context Reduced by 60% + 95% Sparsity: A Double Breakthrough Today Sets New Records in Inference Efficiency
• Can Solve Olympiad Math, Can't Read Clocks: 15 Judgments from Stanford's 2026 AI Report
• Stanford Releases 423-Page AI Report! US-China Gap Narrows to Just 2.7%, Tsinghua's DeepSeek Enters Global Top 10
• Surging Popularity! MSA Goes Open Source with a Bang!
• A Unified Review of Agents: Harness, Memory, Skills, and Protocols
• Burning Through Tokens Too Fast? Try This Four-Tier Model Combination
• Nobel Laureate David Baker's Latest Interview: AI Has Revolutionized Protein Design, But It Remains Just a Tool
• Li Fei-Fei's Team Is Tackling This: From Entropy to Mutual Information, RAGEN-2 Reshapes Reasoning Quality Standards, Preventing AI Agents from Becoming 'More Trained, More Templated'
• No Human Code Review, 1 Billion Tokens Consumed Daily! OpenAI Core Engineer's Extreme Revelation: No Obsession with Code Details! MCP is Dead! Software Dependencies Will Disappear—Inside the 7-Layer Ghost Library Architecture
• Meta Bets on Neural Computers: Is the Next-Gen Computer the Model Itself?
• The 'Car Wash Dilemma' That Stumped AI Across the Web Has Finally Been Solved
• Large Models Can Now Modify Parameters 'In-Place'! ByteDance Seed & Peking University Paper: Test-Time Inference Requires No Extra Layers or Retraining
• The Memory Singularity Is Here! Harvard Neuroscientist Ends 300,000 Years of Human Forgetting
• Frozen Weights Are the Enemy of AI Progress! DeepMind's Top Researcher: The Key to AI Self-Improvement Lies in Evaluation, Drawing from Formal Verification! Expert Models Are Stepping Stones to Generalized AGI!
• The advisor strategy: Give agents an intelligence boost
• Google CEO: Almost All Software Needs to Be Rebuilt
• Ruby on Rails Creator's Latest Interview: AI Is Driving Up the Value of Top Programmers
• The 32k-Star GitHub Repository for Claude Code Best Practices is Now Open Source
• AI Doesn't Need to Remember Everything; It Needs to Learn How to Learn: This Memory Revolution Enables Deep Research Agents to Think
• Better at Collaboration Than Codex: This Open-Source Gem Is Taking Off!
• No Reinforcement Learning Needed! Apple's 'Simple Self-Distillation' Achieves Self-Evolution for Coding Models
• DWDP: NVIDIA's Secret Weapon—Removing Synchronization Locks in MoE Inference Boosts NVL72 Throughput by 8.8%
• Hassabis: The AI Gap Will Continue to Widen
• Anthropic Unleashes Most Powerful Claude Mythos! Crushes Opus 4.6, Begs Users Not to Use It