筛选结果
55 篇排序
12:49EN → 简体中文Alex Mashrabov:Higgsfield 智能体自己选模型、自己拉起 GPUAlex Mashrabov · Higgsfield在 OpenAI DevDay 2026,Higgsfield 的 CEO 讲清楚:连续的媒体体验为什么需要一个会选模型、会给自己的产出打分、还会自己拉起 GPU 的智能体——还包括一场小团队现在就能做出来的 10 小时 AI 直播。
38:10EN → 简体中文从深度伪造到 DNA:SynthID 如何给 AI 加水印Hannah Fry, Pushmeet Kohli, Jeremy Ratcliffe · Google DeepMindHannah Fry 请来 Pushmeet Kohli 和 Jeremy Ratcliffe,讲解 SynthID:一种已用于文本、图像和视频的数学水印,正在延伸到蛋白质序列,好让 DNA 合成公司能把 AI 设计的分子和自然界的分子区分开来。
1:28:08ENThe same H100 costs 3x at AWS, and a four-month-old lab is catching genes the top sequencers missed主持 Nathan LabenzA Cognitive Revolution weekly briefing on a possible U.S.–China AI hotline, why hyperscalers charge two to three times as much for identical chips, co-writing a novel with frontier models, and an AI loop that re-diagnosed a child a premier prenatal lab had cleared.
2:50:40EN → 简体中文他们给她离开的可能性标了价,然后才把信交到她手上主持 Nathan LabenzNathan Labenz 首播了 Joel Borgen 与 AI 合著的小说《The Receipt Horizon》的前四章。故事发生在战后世界,一个单一超级智能让每个人过得舒适、被量化打分,又悄悄把人排除在决策之外。
2:06:41ENZero the J-Space and a Model's Hidden Goal Lights Up on Token One主持 Nathan LabenzA weekly Cognitive Revolution cut of Anthropic's global-workspace paper, AI superforecasters, open video world models, and a chip that treats inference as data movement.
34:56ENOn Suno, 90% of Daily Users Make a SongCEO Mikey Shulman on modeling raw sound instead of music theory, why music is not an LLM-style scale problem, and treating creation itself as the entertainment.
1:23:53ENCreators Cheer Filler-Word Removal and Boo Generative Video主持 Nathan LabenzDescript CEO Laura Burkhauser maps the same customers' three-speed reaction to AI: deterministic buttons they love, an agentic co-editor they want but scold, and generative video they actively hate.
2:33:48EN → 简体中文里克·比托学会的第一段吉他独奏是《Hey Joe》嘉宾 Rick Beato · 主持 Lex Fridman莱克斯·弗里德曼与音乐教育者里克·比托聊了塑造他的几位吉他手、耳朵如何训练,以及 AI 能否写出值得听的歌。
41:38ENElevenLabs Hit $300 Million ARR by Building Voice Before Anyone Believed It Was the Interface主持 Sarah Guo, Elad GilIn Poland, watching a foreign film is a special kind of pain: one narrator, every character, a flat delivery from start to finish.
1:02:19ENA Top Video Model's Half-Life Is 30 Days. fal Runs 600 AnywayThe fal founders tell Sequoia why generative video is a compute-bound problem that language-model shops keep underestimating, and why they will not let any customer marry a single model.
43:38ENA 2 A.M. Codename and a Face That Finally Looked Like YouGoogle's product and model leads walk Sequoia through how Nano Banana made single-photo character consistency feel real — and why fun, craft, and human evals did as much work as scale.
1:00:26ENSeven Million Videos a Day, and Most Return Visits Are Spent CreatingOpenAI's Sora 2 leads walk through diffusion transformers, physics that rebounds off the backboard, and a feed designed against mindless scrolling.
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.
2:28:14EN → 简体中文自然有结构:Demis Hassabis 谈可学习的现实与 AGI嘉宾 Demis Hassabis · 主持 Lex Fridman谷歌 DeepMind 的 CEO 认为,经过进化塑造的系统可以用经典学习方法来建模,而可交互的世界模型正处在通往 AGI 的路上。
59:38ENElevenLabs Was Supposed to Be RoadkillCo-founder Mati Staniszewski on dirty audio data, prosumer virality, and why voice should become the default interface for technology.
53:51ENVeo 3 Took First Place by Beating Veo 2. Google Labs Says Chapter Two Just StartedThree Google Labs leads walk through generative cameras, background computer-use agents, and notebooks that adapt knowledge for an audience of one.
1:19:10ENA Robot-Arm Shot That Took Months Now Lives in a Prompt主持 Nathan LabenzLuma Labs’ Amit Jain and Jiaming Song on Ray 2, few-shot camera concepts, and why they think video models sit on the path to multimodal AGI.
1:41:29ENFiverr’s CEO Sent a Wake-Up Memo: AI Won’t Take Your Job. A Peer Who Uses It Will.主持 Nathan LabenzMicha Kaufman tells Nathan Labenz how a 15-year freelance marketplace is trying to give creators their own models instead of letting public AI eat their work for free.
2:27:59ENA 10-to-90% P(doom) Host Gets Asked If His Show Sounds Like It主持 Nathan LabenzNathan Labenz and Liron Shapira sit on the same side of the table and test a week of AI news against the question of how likely extinction actually is.
27:45ENNasdaq Down 8% and Ghibli Everywhere: AI Is Already in Inning Three主持 Sarah Guo, Elad GilSarah Guo and Elad Gil on the latest image-gen wow cycle, why public-market panic is mostly noise for software startups, and where specialized models still have room.
51:16ENGoogle Labs Pops Champagne at 10,000 Weekly UsersJosh Woodward on fifty-day sprints, fading paragraph prompts, and why a number Search would never notice is the point of an AI incubator.
46:35ENThey trained a real-time video model in 20 hours and skipped the game engineDecart CEO Dean Leitersdorf tells Sequoia how Oasis runs live on H100s, why ChatGPT is a fallen wall rather than a pain point, and why the next trillion-dollar company may be a generated experience.
29:29ENThe Week AI Won Its First Nobels, Two Investors Listed Who Is Most at Risk主持 Sarah Guo, Elad GilSarah Guo and Elad Gil talk NotebookLM, intelligent NPCs, artificial wombs, OpenAI’s o1, and which businesses look AI-durable.
32:07ENA 10-Person Team, One Click, and Two Years of Fake DeadlinesNotebookLM’s product and design leads explain how a source-grounded research tool became a viral two-host podcast generator—and what they refuse to add next.
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