Latest Articles

Stanford Proposes New RL Paradigm: 3B Model Agent Outperforms Claude, GPT-4
Reinforcement LearningAI AgentsOptimizationLarge Language ModelsMachine Learning Engineering
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Why Do Large Language Models Hallucinate? OpenAI's Latest Research Uncovers the Reasons
Large Language ModelsAI HallucinationMachine LearningEvaluation MetricsOpenAI Research
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Google's nano-banana Model Takes the Crown: How MLLMs Solve Image Tasks? A Deep Dive from 3 Dimensions
Multimodal LLMsImage ProcessingVisual GroundingAI ArchitectureGemini
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DeepSeek, GPT-5's Fast-Slow Thinking Switching Gets a Smarter, Multimodal Version
Artificial IntelligenceMultimodal Large Language ModelsMachine LearningModel EfficiencyAdaptive Thinking
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LeCun's Papers Now Require Approval from Alexandr Wang! Meta's Shocking Move
Meta AI ReorganizationAlexandr WangInternal ConflictAI Research GovernanceFAIR
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Stanford's Latest Research: Even the Strongest LLMs Struggle with Cutting-Edge Code! Gemini 2.5 Pro's Success Rate Under 40%
Artificial IntelligenceLarge Language ModelsResearch BenchmarksCode GenerationMachine Learning
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Microsoft Introduces rStar2-Agent: "Thinking Smarter" Proves Far More Effective and Efficient Than Simply "Thinking Longer"
Artificial IntelligenceLarge Language ModelsMathematical ReasoningAgentic AIReinforcement Learning
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Stanford Professor: AI Isn't About Wage Cuts, It's About Job Displacement, Young People Are Most Affected
AI Impact on JobsEmployment TrendsLabor Market TransformationEconomic ResearchYouth Employment
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【Master's Thoughts】Martin Fowler's AI Musings: We're in an Era Where Even the "Problem" Isn't Clear
Software EngineeringArtificial IntelligenceProgrammingMartin FowlerLarge Language Models
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Data Speaks: "Men Live Worse Than Dogs" | Seven Data Sets
TitanicData AnalysisGender InequalitySocial ClassSurvival Rates
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Meta Introduces Deep Think with Confidence: Boosting Reasoning Accuracy and Efficiency with Minimal Changes
Large Language ModelsAI ReasoningNatural Language ProcessingDeep Learning ResearchConfidence ScoresInference OptimizationSelf-Consistency
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MCP Tool Stacking is a Trap! Developer Guru: Command Line's 'Brittleness' Crushes AI! Better to Axe It Down to a Single Code Executor: 7 Calls Become 1! Netizens: Should've Abandoned Black Box Tools Long Ago!
Artificial IntelligenceSoftware DevelopmentCode ExecutionLarge Language ModelsCommand-Line Interface
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LLMs Dominate Math Boards, Yet Forget How to Chat? CMU et al. Reveal Striking Differences Between SFT and RL!
Large Language ModelsReinforcement LearningMachine LearningAI ResearchSupervised Fine-Tuning
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A New Revolution in Reward Models! SWIFT Reads "Inner Voice" Instead of Text, Creating a Faster, Stronger, and More Cost-Effective AI Judge
Artificial IntelligenceLarge Language ModelsMachine LearningModel OptimizationReward Models
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Evolution and Development Trends of Reinforcement Learning Frameworks
Reinforcement LearningDistributed SystemsAgentic RLAI FrameworksPerformance OptimizationMachine Learning
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Advancing Silicon-Based Intelligence: Shuchao Bi's Insights on Past, Present, and Future AI
Artificial IntelligenceMachine LearningAGIScaling LawsReinforcement Learning
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The "Mirage" of Chain-of-Thought Reasoning: An In-depth Look at LLM Generalization
Chain-of-Thought ReasoningLarge Language ModelsAI ResearchOut-of-DistributionGeneralization
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GPT-5 vs Claude Opus 4.1: Coding Capability Assessment
AI ModelsCodingDevelopment ToolsLarge Language ModelsPerformance Comparison
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OpenAI Board Chair: "Per-Token Billing" Is Completely Wrong, Market Will Eventually Choose "Outcome-Based Pricing"
AI Business StrategyBret TaylorStartup EcosystemPricing ModelsAI AgentsOpenAI
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In-depth Dissection of Large Models: From DeepSeek-V3 to Kimi K2, Understanding Mainstream LLM Architectures
Large Language ModelsDeep LearningMixture of ExpertsAttention MechanismsAI Architectures
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