ประวัติและข้อมูลของยูนนานใน TNO : Last Day of Europe
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AI Pioneer LeCun Walks Away from Meta to Build Reality-Based AI
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YouTubeChuck Goetschel
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DEBAT PANAS 🔥 ROY SURYO TANTANG LECHUMANAN BUKTIKAN GIGI MANA YANG PALSU || HEAD TO HEAD
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จัดอันดับระบบเศรษฐกิจใน TNO : Last Day of Europe
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YouTubeLechuman CH
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YouTubeLechuman CH
1:39:55
This 2 hour lecture by Yann LeCun (Turing Award winner) will teach you why the next trillion dollar AI company won't be built on LLMs.He trashes the $100 Billion LLM race, attacks Musk and Amodei, declares scaling dead.Bookmark & watch tonight after work, skip to 7:00.
257.9K views1 month ago
x.comPhosphen
7:40
LeCun十亿美元赌世界模型丨Claude年入250亿超可口可乐｜英伟达GTC放大招
752 views2 months ago
bilibili雨夜的风233
1:44
Deep Curates on Instagram: "In this talk, Yann LeCun @yannlecun asserts that machines will inevitably become smarter than humans. However, he argues that Silicon Valley's current focus on Large Language Models is a dead end for true intelligence. He explains that LLMs lack a grounding in physical reality. LeCun points out that even a four-year-old processes more visual data than these models process text. This explains why robots still struggle with simple tasks like clearing a dinner table. He
4.2K views4 months ago
Instagramdeepcurates
1:12
图灵奖得主LeCun团队极具前瞻性论文，提出超人类适应性智能
694 views2 weeks ago
bilibiliNing的笔记
1:40
图灵奖获得者、 AI 三大教父之一的 LeCun在达沃斯的发言，算是把整个硅谷的遮羞布扯了。他说现在整个行业都被LLM彻底洗脑了，所有人都在同一条赛道上互相挖人，谁敢偏离主流谁就被骂落后。这也是他离开Meta的真正原因，连Meta都已经LLM-pilled，他不想再跟风了。最扎心的一句话是：纯生成式架构，不管是LLM、VLM还是VLA，永远造不出哪怕猫级的智能体。因为它们本质上只是下一个token预测机，只能在文字和像素的空间里做统计关联，从来没有真正理解过这个世界的因果。它们不会预测行动的后果，不会真正的规划，更没有常识。当然，我不是说LLM没用，短期来看，scaling LLM+微调+工具调用，已经能吃掉80%的白领工作，硅谷所有人往这里冲，也算是完全理性，毕竟钱和机会就在这里。但长期来看，这是一条有天花板的路。因为你永远不可能在文字地图上，开出一辆真正的车。机器人、具身智能、长期自主代理、真正的科学发现，这些坎，纯LLM永远跨不过去。LeCun说，真正的智能必须有世界模型。就是说给定当前的状态和你要做的动作，你要能准确预测下一秒世界会变成什么样。不是简单的像素级的生成，还需要对物
2.9K views4 weeks ago
x.com阿绎 AYi
4:26
全网都在吹的LeCun新论文，90%的解读都是错的。他们说生成式AI是死路，说过去三年花的几百亿全白费了，说15M参数的小模型就能吊打万亿大模型。这些全是营销号的夸张，我觉得这篇论文的真正分量比他们吹的还要重。Yann LeCun团队这次解决了JEPA困扰了好几年的表征坍缩问题。以前的世界模型，学着学着就会把狗车人都压成一模一样的向量，什么都学不到。这次他们只加了一个极其优雅的数学正则化器SIGReg，没有复杂的trick 和六个超参数要调，训练稳得离谱。单张GPU几个小时就能训完，在机器人控制任务上，规划速度比巨型世界模型快48倍，成功率还更高。最厉害的是它的隐空间里天然就编码了物理规律。不用教，它自己就知道物体不能瞬移，知道速度和位置的关系。能瞬间检测出物理上不可能发生的事。这不是啥范式革命，也不会让GPT和Claude明天就死掉。语言和创意生成，依然是自回归大模型的天下。但它打开了一扇全新的门，原来懂物理不需要万亿参数，不需要云端超算。原来世界模型可以小到跑在机器人的本地芯片上。过去三年，整个行业都在一条路上狂奔，堆参数，堆算力，堆数据。所有人都以为只要足够大，就能懂世界。现在我
594.8K views1 month ago
x.com阿绎 AYi
1:35
Artificial intelligence on Instagram: "Yann LeCun didn’t just follow the AI wave — he created it. A French-American computer scientist, LeCun spent decades pushing neural networks forward when most of the field had abandoned them. In the 1980s and 90s, he developed convolutional neural networks (CNNs) and the famous LeNet system, which was commercially deployed by banks to read handwritten checks — long before “AI hype” existed. In 2013, he joined Meta as Chief AI Scientist, helping shape modern
3.1K views5 months ago
Instagramartificialintelligenceeee
Yann LeCun: Deep Learning, ConvNets, and Self-Supervised Learning | Lex Fridman Podcast #36 | Lu Wang
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linkedin.com
LeCun被痛批：你把Meta搞砸了，燒掉千億算力，自曝折騰20年徹底失敗
Apr 20, 2025
sina.com.hk
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Yann LeCun 谈 LLM的局限性
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zhihu.comOpenGVLab
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Yann LeCun呼吁放弃生成模型还有强化学习
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bilibili智猩猩
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Yann LeCun：我们永远无法仅通过文本训练就达到接近人类水平的智力
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bilibili智猩猩
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Mario Dominguez on TikTok
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TikTokmario.dominguez6432
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YouTubeLechuman CH
11:45
【人工智能】Yann LeCun最新3小时访谈精华版 | AI终将造福人类 | 世界模型 | 大模型的局限性 | AI末日论 | 开源大模型Llama
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YouTube最佳拍档
2:15
AI教父说整个硅谷都错了！LLM永远造不出猫级智能 离开Meta拿$10亿去证明 76%研究者同意他 #AI #LeCun #投资
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YouTube老魏理财
LeCun: Robotics Hoax, Llama Not Mine
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硅谷的集体幻觉与 LeCun 的盛世危言
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