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- [In-Depth] Ilya Sutskever's Selected Paper: The Platonic Representation HypothesisPlatonic Representation HypothesisAI DevelopmentPlato's Cave AllegoryRepresentation LearningDeep Learning...
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- AI Beats Human PhDs for the First Time, Top Conference Papers Turn into Code Instantly! HKU Post-90s Open-Source Project Explodes to 8k StarsDeepCodePaper ReproductionHKU TeamOpen SourceAI Code Generation...
- Claude Launches Skills Feature and Agent Skills Development GuideClaude SkillsAgent SkillsAI AgentsAnthropicDevelopment Guide...
- Recently, The New Yorker Has an Article with a Scary Title: Will Artificial Intelligence Trap You in a "Permanent Underclass"?Artificial IntelligencePermanent UnderclassCyber FeudalismFuture of WorkAI Unemployment...
- Oxford University Proposes H1 "Bootstrapping" Framework, Enabling Models to Self-Evolve with Emergent Abilities!Long-Horizon ReasoningBootstrappingLLMsProblem ChainingCurriculum Reinforcement Learning...
- Under $8,000! Sina Weibo's 1.5B Small Model Surpasses Near-Trillion Parameter ModelsArtificial IntelligenceMachine LearningCost EfficiencyModel TrainingLarge Language Models...
- RL Remembers More Firmly, SFT More Forgetful? Princeton Danqi Chen's Team Rewrites Post-Training CognitionLLM Post-TrainingSFT vs RLMemory RetentionOn-Policy DataCatastrophic Forgetting...
- Understanding neural networks through sparse circuitsSparse CircuitsNeural NetworksAI SafetyMechanistic InterpretabilityInterpretability...
- Xiaohongshu Proposes DeepEyesV2: From "Visual Thinking" to "Tool Collaboration", Exploring New Dimensions in Multimodal IntelligenceDeepEyesV2Multimodal ReasoningRealX-BenchReinforcement LearningTool Collaboration...
- Microsoft CEO Nadella: This Industrial Revolution Starts with the "AI Superfactory"AI SuperfactoryMicrosoftAI InfrastructureData CentersNadella...
- Microsoft Proposes GAD Framework: Open-Source Models Can Directly Distill Black-Box GPT-5GAD FrameworkBlack-Box DistillationLarge Language ModelsReinforcement LearningGenerative Adversarial Distillation...
- Making LLMs Work Like a Company: Microsoft Turns 'Concurrent Thinking' into a Protocol, Higher Accuracy and 28% Reduction in Critical Path LatencyArtificial IntelligenceLarge Language ModelsAsyncThinkMicrosoft ResearchConcurrent Thinking...
- Letting CoT "Evolve" with the Environment: AgileThinker Achieves "Thinking While Doing" | Latest from TsinghuaAI AgentsReal-Time ReasoningReactive AgentsPlanning AgentsDual-System Theory...
- AI Cracks 18th-Century "Mystery" Ledger in Seconds! Google's New Model Blind Test Goes ViralArtificial IntelligenceHandwritten Text RecognitionGoogle GeminiHistorical DocumentsMachine Learning...
- Reinforcement Learning + Large Model Memory: Mem-α, Enabling Agents to "Learn How to Remember" for the First TimeReinforcement LearningLarge Language ModelsArtificial IntelligenceAI AgentsMemory Management...
- AI Visionary Fei-Fei Li's Extensive Article Ignites Silicon Valley: Large Language Models Are on the Wrong Path, Spatial Intelligence Is the Only Way to AGISpatial IntelligenceAI DevelopmentEmbodied AILarge Language ModelsWorld Models...
- SJTU PhD's Latest Insights: Clarifying Reinforcement Learning with Just Two QuestionsReinforcement LearningArtificial IntelligenceAlgorithmsDeep LearningMachine Learning...
- "AI Has Peaked" Is the Biggest Misconception, Anthropic Top Researcher: AI Is Still Accelerating Exponentially, Soon to Achieve "8 Hours of Autonomous Work"Artificial Intelligence DevelopmentExponential GrowthAI PredictionsAGIAutonomous AI...
- Meta's Two Latest Agent Learning Papers Are Quite Interesting!Agent LearningReinforcement LearningSimulation-to-RealExperience SynthesisLarge Language Models...