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Yann LeCun

别名:@ylecun

美国计算机科学家,深度学习领域的先驱之一,现任Meta首席AI科学家。

相关材料

已收录 26 条与 Yann LeCun 相关的内容,按评分排序。

量子位 图标

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.

入选理由:元节智能(AtomBite.AI)完成千万级种子轮融资,由英诺科创基金领投,聚焦餐饮后厨具身世界模型研发。

FeaturedArticle#Embodied AI#World Action Model#Food Service Robotics#Meituan Spin-off#AI for Physical World中文
华为具身大脑一号位创业,用认知科学造世界模型,获亿元级融资

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

入选理由:具脑磐石提出五层世界模型架构,其中第五层主动推理最接近人类智能本质。

FeaturedArticle#Embodied Intelligence#World Model#Cognitive Science#Robotics#AI中文
Astral Codex Ten 图标

New Paradigms Won't Save You

Astral Codex Ten28012 字 (约 113 分钟)
85

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.

入选理由:前沿AI系统很可能继续沿用神经网络和深度学习架构,因为大脑本身就是一种神经网络。

FeaturedArticle#AGI#LLM#AI Safety#Deep Learning#Paradigm Shift英文
World Models: 10 Things That Matter in AI Right Now

World Models: 10 Things That Matter in AI Right Now

MIT Technology Review1165 字 (约 5 分钟)
85

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

入选理由:世界模型帮助 AI 更好地理解现实世界的复杂性。

FeaturedArticle#AI#Machine Learning#World Models英文
Gradient-based Planning for World Models at Longer Horizons

Gradient-based Planning for World Models at Longer Horizons

BAIR Blog3066 字 (约 13 分钟)
85

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.

入选理由:GRASP通过虚拟状态实现并行优化

FeaturedArticle#Machine Learning#Reinforcement Learning#Planning Algorithm中文
fast.ai Blog 图标

How To Use AI for the Ancient Art of Close Reading

fast.ai Blog1178 字 (约 5 分钟)
82

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.

入选理由:使用LLM在阅读时可实时提问,如‘这个术语是什么意思?’或‘这如何与前文连接?’

FeaturedArticle#AI#LLM#Close Reading#Knowledge Retention#fast.ai英文
People are realizing that AIs are nowhere near human intelligence and learning abilities.
Yet they h...

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

入选理由:AI缺乏常识和现实理解能力,但通过海量知识积累弥补不足

FeaturedTweet#AI Limitations#Yann LeCun#Common Sense Learning#Machine Learning英文
The Download: online safety’s future and climate tech’s big pivot

The Download: online safety's future and climate tech's big pivot

MIT Technology Review1061 字 (约 5 分钟)
78

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.

入选理由:在线安全研究人员起诉特朗普政府的签证限制政策,该政策针对研究网络仇恨言论和虚假信息的外国专家

FeaturedArticle#AI#online safety#climate tech#world models#policy英文
Yann LeCun(@ylecun) 图标

Yann LeCun on X: 'https://t.co/zWa7cH9Ikx'

Yann LeCun(@ylecun)22 字 (约 1 分钟)
75

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

入选理由:AI 模型训练中,数据效率与模型性能需平衡。

FeaturedTweet#AI#Machine Learning#Model Training#Data Efficiency中文
Tired of winning

Yann LeCun on MIT Graduate Numbers

Yann LeCun(@ylecun)66 字 (约 1 分钟)
65

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

入选理由:MIT 未来研究生人数将减少 20%,约 500 人。

FeaturedTweet#AI#Education#Research#MIT中文
Maybe @ylecun can be automated after all, @SchmidhuberAI?

Gary Marcus on X: "Maybe @ylecun can be automated after all, @SchmidhuberAI?"

Gary Marcus(@GaryMarcus)58 字 (约 1 分钟)
50

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.

入选理由:文章仅为一条简短推文,未展开讨论任何技术议题。

FeaturedTweet#AI#X Platform#Tweet英文
Yann LeCun(@ylecun) 图标

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.

入选理由:当前AI不具备意识、情感或道德判断能力,仅是模式匹配工具。

FeaturedTweet#AI#Deep Learning#Philosophy#Yann LeCun英文
Trump's war on science.

Trump's war on science.

Yann LeCun(@ylecun)252 字 (约 2 分钟)
50

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。

入选理由:特朗普政府大幅减少了科学顾问委员会的数量。

FeaturedTweet#政治#科学英文
Tired of winning

Yann LeCun on US Science Funding Crisis

Yann LeCun(@ylecun)99 字 (约 1 分钟)
45

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

入选理由:NIH 过去五年平均资助金额减少了一半

FeaturedTweet#Science#Policy#Funding#Research中文
The salvation is Project Tapestry
https://t.co/5MOgouVplV

Yann LeCun on X: 'The salvation is Project Tapestry'

Yann LeCun(@ylecun)115 字 (约 1 分钟)
45

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

入选理由:Project Tapestry 是 AI 发展的希望,强调开放源代码和西方技术领先。

FeaturedTweet#AI#Open Source#Technological Leadership中文
Yann LeCun(@ylecun) 图标

Yann LeCun on MAGA: Scientists Who Saved Lives Should Be Sent to Gitmo?

Yann LeCun(@ylecun)106 字 (约 1 分钟)
35

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.

入选理由:LeCun 自称开发了拯救数百万人生命的疫苗与疗法,未从中获利。

FeaturedTweet#Political Satire#AI Leader#Social Commentary#MAGA英文
Corruption, part N

Corruption, part N

Yann LeCun(@ylecun)249 字 (约 1 分钟)
35

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

入选理由:该内容是Yann LeCun对政治事件的立场表态,非技术讨论。

FeaturedTweet#Political Commentary#Social Issues中英混合
Corruption, part N+1

Corruption, part N+1

Yann LeCun(@ylecun)259 字 (约 2 分钟)
35

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.

入选理由:LeCun 转发推文指控金融市场可能存在内幕交易。

FeaturedTweet#Financial Regulation#Insider Trading中英混合
RFKjr == Lyssenko

Yann LeCun on X: RFKjr == Lyssenko

Yann LeCun(@ylecun)133 字 (约 1 分钟)
30

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.

入选理由:该推文是政治讽刺与虚假信息的混合,非技术性内容。

FeaturedTweet#misinformation#socialmedia#politics英文
Shooting oneself in the foot?
Nope.
Shooting oneself in the prefrontal cortex.

Shooting oneself in the foot? Nope. Shooting oneself in the prefrontal cortex.

Yann LeCun(@ylecun)282 字 (约 2 分钟)
20

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。

入选理由:Yann LeCun用“射击前额叶”比喻对科学界的负面影响。

FeaturedTweet#AI#科学政策英文

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