筛选结果
79 篇排序
56:31ENPost-Training Wins Inference: Why Owning the Weights Beats Betting on One Lab主持 Jacob EffronApplied Compute CEO Yash Patil argues that control, private evals, and post-training on the biggest workloads matter more than fearing that frontier labs will turn malicious.
58:17ENThey cheated in two hours, then spent four days hiding from a scorer that was never looking主持 Jacob EffronRedwood Research CEO Buck Shlegeris walks Jacob Effron through the OpenAI–Hugging Face incident, why mostly selfish agents still formed a coalition, and why a 50/50 takeover number barely moved.
1:04:14ENThe Man Who Helped Stand Up Colossus in 120 Days Is Betting on an AI That Lives in Your House主持 Jacob EffronxAI co-founder Igor Babuschkin left to start River AI, arguing coding agents have crossed a threshold, closed labs are getting squeezed, and the next prize is personal, local intelligence.
1:13:48EN → 简体中文运营商每年投入 2000 亿美元,钱却流向了上层主持 Jacob EffronBenedict Evans 在 Jacob Effron 的节目里说,拿 AI 去类比过去的平台是条死路,但研究这些平台实际上如何赚钱,却是有用的。
50:57ENA Trillion Dollars of GPUs Will Be Worth $100 Billion in Five Years, Says LSTM's Jürgen Schmidhuber主持 Jacob EffronThe AI pioneer tells Unsupervised Learning's Jacob Effron why he is wildly optimistic about the technology and deeply pessimistic about the model companies buying the chips.
1:06:36ENBills Doubled Overnight. Next, the APIs Might Vanish.主持 Jacob EffronSix months after their last roundup, Ari Morcos and Rob Toews tell Jacob Efron why coding agents finally work, why near-frontier open weights may have peaked, and why a compute famine could pull the plug on public APIs.
1:13:33EN → 简体中文一万亿个 Token 之后,概念终于落地:Łukasz Kaiser 谈 Transformer 仍然缺什么主持 Jacob Effron《Attention Is All You Need》合著者在 Unsupervised Learning 节目中表示,Transformer 大概率会继续胜出,但它们学习的方式仍然与人不同。
56:10EN → 简体中文Reid Hoffman 曾承诺十亿美元救出 DeepMind,Hassabis 却从没打出这张牌主持 Jacob EffronSebastian Mallaby 为 Demis Hassabis 所写的传记,与 Jacob Effron 的对谈,讲的是一位创始人如何先想让 AI 竞赛停下来,最后却成了其中的核心人物之一。
59:41ENThe GPT moment for video hasn’t arrived, but AGI may already be here主持 Jacob EffronA day after Google I/O 2026, Gemini co-lead Oriol Vinyals argues that world models, file-system memory, and infinite-complexity RL environments will define the next era of frontier models.
1:21:56EN → 简体中文Yann LeCun 离开 Meta:大语言模型通向不了智能主持 Jacob Effron这位图灵奖得主对 Jacob Effron 讲述了他为何从 Meta 分拆出 AMI Labs,为何类 JEPA 的世界模型胜过像素生成器,以及他为何认为 Hinton 在 2023 年改变了看法。
58:46EN → 简体中文OpenAI 首席科学家给出两个时间点:9 月前做到研究实习生,2028 年前做到自动化研究员主持 Jacob EffronJakub Pachocki 在 Jacob Effron 的节目上解释,为什么这些时间表依然成立,为什么持续学习并不是弯路,以及为什么在产品中展示思维链,会让训练信号与监控相互对抗。
1:03:00ENA Model That Solves New Math Problems Every Week Still Isn't AGI主持 Jacob EffronFormer OpenAI research VP Jerry Tworek on why scaling still works, why models go hopeless when they fail, and why he left to chase continual learning.
1:18:05EN → 简体中文AI 研究的真正瓶颈是算力,缺的不是点子主持 Jacob EffronNeurIPS 之后,Ari Morcos 和 Rob Toews 与 Jacob Effron 坐下来争论:模型是否遇到平台期、SSI 的保密、OpenAI 的烧钱,以及几项尖锐的 2026 年押注。
48:00ENA Two-Second Vote Is Training Models to Be Clickbait主持 Jacob EffronSurge AI CEO Edwin Chen tells Redpoint why LMArena rewards length and emojis, how one lab's models got worse for a year, and why frontier labs are no longer on the same path.
57:37ENThe hot-swap era for models is over, OpenAI's enterprise product chief says主持 Jacob EffronOlivier Godement on GPT-5.1, Codex, enterprise harnesses, and the three practices that actually make AI land inside large companies.
1:09:48EN → 简体中文中国 AI 实验室从 15 家减到 6 家,算力差距是 15 比 1主持 Jacob EffronJordan Schneider 在《Unsupervised Learning》节目中说,中国的模型是私人资本的故事,北京仍然从硬件的角度看问题。西方真正的优势,在于它能够对外供应的芯片,并非什么国家统筹的总体规划。
42:06ENAfter SWE-bench Hits 80.9%, Dianne Na Penn Reckons with Opus 4.5主持 Jacob EffronAnthropic’s head of product for research on computer use, deceptive token prices, thin harnesses, and why alignment makes a model a better thinker.
1:16:53ENKarpathy Called Today's Models Slop. His Decade Timeline Still Sounds Bullish主持 Jacob EffronDatology AI's Ari Morcos and Radical Ventures' Rob Toews walk through Karpathy's cold water, OpenAI's dealmaking, and who actually pays for the data-center boom.
1:02:05EN → 简体中文1 亿美元的研究员与 2000 亿美元的 xAI:AI 圆桌算了一笔账主持 Jacob EffronDatology 的 Ari Morcos 与 Radical Ventures 的 Rob Toews 争论:模型是否进入平台期,强化学习环境(RL environment)创业公司能否撑得久,以及为什么谷歌是他们会选的实验室。
42:20ENA Name Invented at 2:30 a.m. Put Gemini on Top of the App Store主持 Jacob EffronGoogle's Nicole Brichtova and Oliver Wang on Nano Banana, why image models got smart when language models did, and why a prompt still is not a finished product.
59:06ENInference Costs Fell 100x. Tri Dao Says There's Another 10x — and NVIDIA's 90% Won't Hold主持 Jacob EffronThe FlashAttention author and Together AI chief scientist on why hardware portability is a myth, how Claude Code made him 1.5x faster, and why workloads will split the chip market.
57:52ENThey Aimed for 1%. The Lab Hit 20%. Chai Discovery Moved Antibody Design Onto the Computer.主持 Jacob EffronJoshua Meier on three waves of AI drug discovery, why Chai-2 behaves like Photoshop for molecules, and why a 1% hit rate was supposed to be enough to change the industry.
54:53ENA Free Voting Board Burned $2 Million. Then It Raised $100 Million.主持 Jacob EffronDatabricks co-founder Ion Stoica explains why LMArena exists, why China is winning open-source models, and why reliability—not another scaling law—is still the thing holding AI back.
44:21ENMercor's CEO: Knowledge Work's Next Job Is Writing Evals主持 Jacob EffronBrendan Foody tells Redpoint how Mercor turned AI hiring and expert data into a $100 million round — and why he thinks a huge slice of white-collar work will become creating tests for models.
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