#Yann LeCun
29 related articles
·3 min
H-JEPA-LM: A Non-Generative Language Model That Predicts in Latent Space
Deep dive into H-JEPA-LM, a non-autoregressive language model that predicts in latent space using hierarchical abstraction and world-model-style planning, challenging mainstream LLM paradigms.
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·3 min
AI Modeling of Human Spatial Reasoning: A Breakthrough Path from Cognitive Experiments to Computational Models
Exploring how AI builds cognitive computational models from human spatial reasoning experiments, analyzing LLM spatial cognition gaps and Embodied AI applications.
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·2 min
ICLR 2027 Deadline Before NeurIPS 2026 Decisions Sparks Controversy: The Deeper Conflicts in Top Conference Timelines
ICLR 2027's paper deadline falls 8 days before NeurIPS 2026 decisions, sparking debate over top conference timeline conflicts and their impact on researchers.
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·5 min
July 24 AI Daily Brief: Flux 3 Multimodal Release, Kimi K3 Lags in Testing, Qwen Tops TTS Rankings
July 24 AI news: Black Forest Labs launches Flux 3 multimodal model, Kimi K3 lags in US-UK gov tests, Alibaba Qwen tops TTS rankings, Etched raises $300M, AMD unveils MI430X.
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·5 min
30+ Free AI & Machine Learning Classic Textbooks: All in One GitHub Repository
Awesome Free AI Books is an open-source repo with 30+ legally free AI & ML classic textbooks covering deep learning, reinforcement learning, NLP, LLMs, and more — all linking to official sources with weekly automated link checks.
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·7 min
AI Daily: T-Head Open-Sources SAIL Software Stack at WAIC, Flurry of Large Model Releases
T-Head open-sources AI software stack T-Head SAIL at WAIC to lower the barrier for domestic chip development; Kimi K3 tops the WebDev leaderboard; Qwen 3.8 Max Preview cuts prices aggressively; Moonshot prepares a Hong Kong IPO; and Oracle switches its data center to a fuel cell microgrid.
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·4 min
Former OpenAI Researcher Warns: 70% Chance AI Spins Out of Control
Former OpenAI researcher Daniel Kokotajlo, who forfeited $2M in equity, warns of a 70% chance AI leads to catastrophic outcomes and superintelligence by 2029.
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LeMario: An Open-Source Experiment in …
·2 min
LeMario: An Open-Source Experiment in Training JEPA World Models with Super Mario Bros
LeMario is an open-source project applying JEPA (Joint-Embedding Predictive Architecture) to Super Mario Bros, exploring how AI can understand world dynamics in abstract embedding space.
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·3 min
OpenAI Executive Fallout and the Truth About AI Salaries: Key Industry Signals Every Practitioner Should Know
OpenAI CFO split with Sam Altman threatens IPO. This deep dive exposes AI salary realities, tool selection pitfalls, Fed macro risks, and signals that AI is entering a zero-sum era.
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·2 min
JEPA World Model Deep Dive: Promise and Controversy
JEPA is LeCun's world model architecture that predicts in abstract embedding space rather than pixels. This article analyzes JEPA's core ideas, differences from generative world models, and key controversies including representation collapse, decodability, and lack of empirical results.
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Hassabis's AI Safety Blueprint: How De…
·2 min
Hassabis's AI Safety Blueprint: How DeepMind Is Tackling the Risks of Superintelligence
Demis Hassabis outlines a multi-layered AI safety framework covering technical alignment, institutional governance, and international cooperation for the AGI era.
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·2 min
Andrew Ng's AI for Everyone: Understanding the Truth and Limits of Artificial Intelligence
Andrew Ng's AI for Everyone course explained: understand ANI vs. AGI, cut through AI hype and fear, and see how deep learning is transforming every industry.
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·3 min
Neuro-Symbolic AI Architecture: A New Approach Inspired by Neurotransmitters and Sleep Cycles
Explore how neuro-symbolic AI architecture fuses neural networks with symbolic reasoning, simulating neurotransmitter regulation and sleep cycles to tackle hallucination and catastrophic forgetting.
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·3 min
The Progress and Bottlenecks of AI-Generated Video: Stunning Lighting, Questionable Logic
An AI-generated rainy-night walk video sparked debate on Reddit: stunning wet-surface reflections and color temperature contrast, yet flawed logic like pedestrians on roadways. This article unpacks the true state of AI video generation.
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·4 min
LingBot-World 2.0 Meets SGLang: A Deep Dive into the Evolution of Real-Time Interactive World Models
SGLang-Diffusion now officially supports LingBot-World 2.0, delivering leaps in resolution and temporal consistency. With live sessions, chunked streaming, and camera control, world models achieve low-latency controllable interaction.
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·3 min
Computer Science vs. AI & Robotics: How Should You Choose?
Computer Science or AI & Robotics—which is more stable and promising? This article analyzes major nature, job prospects, and risk hedging to help you plan wisely.
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·6 min
Is AI Really Smart? The Future Directions and Capability Boundaries of Next-Generation Artificial Intelligence
Are large language models truly intelligent? This article analyzes core AI limitations — pattern matching, hallucinations, reasoning deficits — and explores next-gen directions like inference-time compute, neuro-symbolic AI, and embodied intelligence.
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·4 min
The Sprout Experiment: Exploring Deterministic Symbolic Reasoning AI Without Neural Networks
Sprout is a contrarian AI research experiment that abandons GPUs and neural networks in favor of deterministic symbolic reasoning. It features an auditable knowledge base and refuses to answer when evidence is insufficient, prioritizing explainability and governance.
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·8 min
GPT-5.6 Hands-On: Farm Automation, Mathematical Breakthroughs, and End-to-End AI Execution
GPT-5.6 (Sol, Terra, Luna) hands-on testing: a Hokkaido farmer controls a greenhouse with AI, a NYC small business builds custom software, and a Polish mathematician breaks a 3-year problem. A deep dive into end-to-end autonomous execution.
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·6 min
Is GPT Really Approaching the Technological Singularity? Deep Reflections Sparked by a Viral Reddit Post
A tongue-in-cheek Reddit post joking about 'GPT 9.6' reveals the AI community's collective anxiety over singularity hype. A deep look at what the technological singularity really means and how to view LLM progress rationally.
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