Yann LeCun

AtomBite.AI, founded by former Meituan Waimai tech lead Dr. Wang Dong, focuses on embodied AI for commercial kitchens using World Action Models (WAM), securing seven-figure seed funding and multiple pilot deployments with top-tier food service companies.

JunoBrain proposes a cognitive world model based on cognitive science to achieve higher-level embodied intelligence and has secured billion-level funding.

Even assuming AGI requires a new paradigm, applying Lindy's Law suggests it may emerge within 3 to 5 years, so current AI development risks shouldn't be underestimated.

World models are a significant trend in current AI research, focusing on how AI can better understand the real world.

The article introduces GRASP, a gradient-based long-horizon planning method for world models, which improves planning robustness through virtual states, stochasticity injection, and gradient reshaping.

The article proposes applying Large Language Models (LLMs) to traditional close reading techniques, enhancing comprehension through real-time questioning, contextual linking, and personalized learning, combined with fast.ai's SolveIt platform and fastanki tools for knowledge retention.

Yann LeCun highlights that current AIs lack common sense, reality understanding, and reasoning capabilities but become useful through accumulated declarative knowledge.

MIT Technology Review reports on three key technology trends: online safety researchers suing the Trump administration's restrictions, climate tech companies pivoting to critical minerals business to respond to policy changes, and world models becoming the new frontier in AI development. These developments reflect major shifts in the current technology policy environment.

Yann LeCun discusses new methods in AI model training, emphasizing the balance between data efficiency and model performance.

Yann LeCun强调了大语言模型（LLMs）的实用性，但也指出它们缺乏对物理世界的理解，无法预见行动后果，这限制了其在构建机器人丰富未来中的作用。

美国国家科学基金会（NSF）被指控秘密阻止向杜克、哈佛等顶尖大学提供资助，引发对学术资源分配公平性的质疑。

MIT will reduce graduate numbers by 20%, sparking discussion on AI education and research directions.

Yann LeCun列出了多个AI项目及其所在地，强调了不同地区在AI研究中的贡献。

This is a brief tweet by Gary Marcus on X (formerly Twitter), mentioning two prominent AI researchers, Yann LeCun and Jürgen Schmidhuber, but providing no specific technical details or in-depth analysis.

Yann LeCun states that today’s AI lacks consciousness, emotion, and moral judgment, but may acquire all human-like abilities except ‘spirituality’ in the future — noting many humans lack spirituality yet still show empathy and high morality.

Gary Marcus critiques Yann LeCun's claim about hierarchical world models, stating it's incorrect and misleading.

Yann LeCun在X上分享了Max Kozlov的文章，指出特朗普政府大幅削减了美国的科学顾问委员会。

Yann LeCun discusses the future of unsupervised learning in AI, emphasizing its importance and the limitations of LLMs.

Yann LeCun warns of severe funding shortages in US science, with NIH grants down by half compared to five-year average.

Yann LeCun proposes Project Tapestry as the hope for AI development, emphasizing open source and Western technological leadership.

Yann LeCun批评特朗普拟将美国国家科学基金会（NSF）预算削减50%，称此举将严重损害科研生态、博士培养与技术创新增长机制。

LeCun sarcastically criticizes MAGA’s moral and cognitive distortions, claiming he, as a scientist who saved hundreds of thousands of lives without profit, should be imprisoned in Gitmo — highlighting political absurdity.

Yann LeCun retweeted a post about airport renaming allegedly violating the Constitution; it's a political statement with no technical content.

Yann LeCun retweeted a post alleging a suspicious $920M crude oil short before a major US-Iran deal announcement, suggesting insider trading, but provided no original analysis or evidence.

Yann LeCun equates anti-vaccine figure RFK Jr. with the pseudoscientist Lysenko, attaching a fabricated NYTimes headline. No technical substance; pure misinformation with political intent.

Yann LeCun在X上发表了一条推文，用“射击前额叶”比喻对科学界的负面影响，并引用了关于特朗普解雇国家科学委员会成员的新闻。