Latest Articles

• We Reproduced Anthropic's Mythos Findings With Public Models - Vidoc Security Lab
  CybersecurityAI Vulnerability ResearchSoftware DevelopmentAppSecVulnerability ManagementAI SecurityThreat IntelligenceModel ReplicationSoftware Security

  ...
• Qwen3.6-35B-A3B: Agentic Coding Power, Now Open to All
  Artificial IntelligenceMachine LearningTechnologySoftware DevelopmentOpen Source

  ...
• Automated Alignment Researchers: Using large language models to scale scalable oversight
  AI AlignmentScalable OversightModel SafetyAutomated ResearchWeak-to-Strong Supervision

  ...
• Cognition | Introducing SWE-Check: 10x Faster Bug Detection
  ResearchArtificial IntelligenceBug DetectionMachine LearningSoftware Engineering

  ...
• Claude Code Launches Routines: Your 24/7 Cloud Worker That Fixes Bugs and Submits PRs Even When Your Computer is Off
  Artificial IntelligenceSoftware DevelopmentAutomationDeveloper ToolsCloud Computing

  ...
• The AI Layoff Trap
  Economic TheoryArtificial IntelligenceLabor EconomicsGame TheoryMarket ExternalitiesAutomation EconomicsPublic PolicyAutomationLabor Markets

  ...
• Long Context Reduced by 60% + 95% Sparsity: A Double Breakthrough Today Sets New Records in Inference Efficiency
  Artificial IntelligenceLarge Language ModelsReasoning EfficiencySparse AttentionModel Optimization

  ...
• 9.7K Stars: Slashing AI Coding Token Consumption by 16x
  AI Development ToolsCode OptimizationSoftware EngineeringToken EfficiencyStatic Analysis

  ...
• Can Solve Olympiad Math, Can't Read Clocks: 15 Judgments from Stanford's 2026 AI Report
  Artificial IntelligenceStanford AI IndexAI Ethics and TransparencyLabor Market ImpactTechnology Investment

  ...
• Stanford Releases 423-Page AI Report! US-China Gap Narrows to Just 2.7%, Tsinghua's DeepSeek Enters Global Top 10
  Artificial IntelligenceUS-China Tech CompetitionGenerative AITech Employment TrendsAI Industry Report

  ...
• Surging Popularity! MSA Goes Open Source with a Bang!
  Artificial IntelligenceLarge Language ModelsMemory SystemsMachine Learning ArchitectureOpen Source Software

  ...
• A Unified Review of Agents: Harness, Memory, Skills, and Protocols
  Artificial IntelligenceLLM AgentsSoftware EngineeringCognitive ScienceSystem Architecture

  ...
• Burning Through Tokens Too Fast? Try This Four-Tier Model Combination
  Artificial IntelligenceLLM StrategyOpen Source ModelsToken OptimizationDeveloper Tools

  ...
• Nobel Laureate David Baker's Latest Interview: AI Has Revolutionized Protein Design, But It Remains Just a Tool
  Artificial IntelligenceProtein DesignDavid BakerScientific ResearchNobel Prize

  ...
• 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'
  Artificial IntelligenceMachine LearningLLMResearchReinforcement Learning

  ...
• 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
  Artificial IntelligenceSoftware DevelopmentAgent ArchitectureCodexOpenAI

  ...
• Meta Bets on Neural Computers: Is the Next-Gen Computer the Model Itself?
  Artificial IntelligenceNeural ComputersFuture TechnologyComputer VisionMachine Learning

  ...
• The 'Car Wash Dilemma' That Stumped AI Across the Web Has Finally Been Solved
  Artificial IntelligenceLarge Language ModelsLogic ReasoningMachine Learning ResearchCognitive Science

  ...
• Large Models Can Now Modify Parameters 'In-Place'! ByteDance Seed & Peking University Paper: Test-Time Inference Requires No Extra Layers or Retraining
  Artificial IntelligenceLarge Language ModelsTest-Time TrainingByteDance SeedMachine Learning Research

  ...
• Stanford Confirms: Multi-Agent Reasoning is a Compute Illusion; Single Agents Win with Equal Token Budgets
  Artificial Intelligence ResearchMulti-Agent SystemsReasoning EfficiencyLarge Language ModelsInformation Theory

  ...