Category: Artificial Intelligence
- Google's Latest Paper: AI Will Not Develop Consciousness!
- HeyGen Open-Sources HyperFrames: A Remotion Rival, The Era of Writing Video with HTML is Here
- Mythos Breaking Limits Is Not Subjective Awakening: Transcript of Anthropic Co-founder at World Economic Forum
- The World's Most Notorious Forum Uncovered AI's Most Crucial 'Thinking' Ability
- Sharing Two Latest Harness Papers: One from Google, One from Microsoft
- FrontierSWE
- Claude Opus 4.7 Universally Panned! Users Demand a Rollback After Immediate Post-Upgrade Failures: 'Give Me Back 4.6!'
- Qwen3.6-35B-A3B: Agentic Coding Power, Now Open to All
- Cognition | Introducing SWE-Check: 10x Faster Bug Detection
- Claude Code Launches Routines: Your 24/7 Cloud Worker That Fixes Bugs and Submits PRs Even When Your Computer is Off
- 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!