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131 件
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1:17:20EN
Cognitive Revolution "How AI Changes Everything"· 2023年12月9日ポッドキャストHume wants well-being in the objective function, measured 53 emotions at a timeホスト Nathan LabenzAlan Cowen tells Nathan Labenz how Hume AI reads face, voice, and language, sells custom models at $1.66 an hour, and wants long-horizon well-being to override every other AI goal.マルチモーダルとメディアMultimodal AI音声 AI+3
スライド 10 枚26:52EN
Matthew Berman· 2023年12月7日Google’s Gemini Launch: Multimodal Demos, Benchmarks and Research ApplicationsMatthew Berman · Forward FutureMatthew Berman reviews Google’s December 2023 Gemini report and promotional demonstrations, from visual reasoning to scientific literature screening.GeminiMultimodal AIBenchmarks+2
スライド6:57EN
Matthew Berman· 2023年11月22日A Camera Narrator Using GPT-4 Vision and ElevenLabsMatthew Berman · Forward FutureMatthew Berman demonstrates a 2023 project that turns webcam frames into spoken nature-documentary-style narration.音声 AIMultimodal AI画像と動画
1:19:24EN
Cognitive Revolution "How AI Changes Everything"· 2023年11月17日ポッドキャストA Toy Paper Did Not Prove LLMs Cannot Generalize. The Discourse Still Ran With It.ホスト Nathan LabenzNathan Labenz and Erik Torenberg unpack a viral DeepMind result, a weekend reproduction, and a premature war over voluntary AI commitments.モデルと学習AI research機械学習の基礎+3
1:36:39EN
Cognitive Revolution "How AI Changes Everything"· 2023年11月9日ポッドキャストOpenAI’s $5 Million Bet: A 60-Person Team Wants GPT-4V to Give Cars Common Senseホスト Nathan LabenzGhost Autonomy cofounder John Hayes tells Cognitive Revolution why a multimodal model on the driving path could reset self-driving after two decades of DARPA-era stacks.エージェントAutonomous DrivingMultimodal AI+3
1:14:48EN
Cognitive Revolution "How AI Changes Everything"· 2023年11月8日ポッドキャストDevDay Probably Created Thousands of Startups, Says OpenAI's Logan Kilpatrickホスト Nathan LabenzThe day after OpenAI's first developer conference, Dev Relations lead Logan Kilpatrick tells Nathan Labenz why thin wrappers were never companies, why agents were deliberately not shipped fully autonomous, and what $2 million custom models are for.企業と戦略Product Strategyエージェント工学+3
1:32:40EN
Cognitive Revolution "How AI Changes Everything"· 2023年10月31日ポッドキャストThe Historian Who Taught GPT-3.5 to Beat GPT-4ホスト Nathan LabenzMark Humphries on a kilometer of unread paper, fur-trade jargon that embeddings cannot see, and why cheap processing will force history to be rewritten.RAG とナレッジ検索拡張生成(RAG)ファインチューニング+3
スライド 7 枚9:21EN
Matthew Berman· 2023年10月9日DALL·E 3 in Bing and ChatGPT: A 2023 WalkthroughMatthew Berman · Forward FutureMatthew Berman tries DALL·E 3 in two interfaces and compares logo lettering and image styles with Leonardo.ai, documenting both promising results and service delays.Generative mediaMultimodal AIPrompting & in-context learning+1
スライド 6 枚18:23EN
Matthew Berman· 2023年10月2日Early ChatGPT Vision Examples: From Diagrams to Code and Visual MistakesMatthew Berman · Forward FutureMatthew Berman surveys 2023 image-input demonstrations, including education, design and programming, and examines examples that were not verified or got details wrong.Computer VisionMultimodal AIEducation+2
2:17:30EN
Cognitive Revolution "How AI Changes Everything"· 2023年9月29日ポッドキャストGemini Became the Daily Driver. A GPT-5 Worthy of the Name Would Make Agents Work.ホスト Nathan LabenzZvi Mowshowitz returns to Cognitive Revolution to unpack Gemini 1.5, Sora, superalignment, sleeper agents, and the live-player map of frontier labs.企業と戦略AI StrategyProduct Strategy+3
スライド 4 枚20:26EN
Matthew Berman· 2023年9月29日AI News in September 2023: ChatGPT Vision, Meta AI and Mistral 7BMatthew Berman · Forward FutureMatthew Berman reviews a busy week of AI launches, robotics demos and investment announcements, along with emerging questions about privacy and security.AI HistoryOpenAIMultimodal AI+2
1:04:38EN
Lex Fridman· 2023年9月28日ポッドキャスト · 2 人Hundreds of Miles Apart, Zuckerberg and Fridman Sat Close Enough to See the Wrinklesゲスト Mark Zuckerberg · ホスト Lex FridmanLex Fridman sat in a dark room in Austin wearing a Quest headset; Mark Zuckerberg sat in another conference room, also wearing one, and it did not feel like a video call.マルチモーダルとメディアProduct StrategyHuman-AI Collaboration+3
55:08EN
Cognitive Revolution "How AI Changes Everything"· 2023年8月29日ポッドキャストOne Model Inside 38 Products: Paige Bailey on How Google Trains and Ships PaLM 2ホスト Nathan LabenzAt Google I/O in May 2023, PaLM 2 arrived already running in more than two dozen products — and its lead product manager walks through what that actually took.モデルと学習Multimodal AI評価(Evals)+3
39:02EN
Cognitive Revolution "How AI Changes Everything"· 2023年8月10日ポッドキャストAI’s product advantage is consistency. Its real weakness is getting conned.ホスト Nathan LabenzNathan Labenz updates the Cognitive Revolution scouting report: jailbreaks, resume automation, Med-PaLM’s 40% radiology win, and what might follow Transformers.企業と戦略Multimodal AIAI in healthcare+3
39:50EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年7月20日ポッドキャスト · 2 人Why AI Video Is Still a Four-Second Corgiホスト Sarah Guo, Elad GilMeta research director Devi Parikh explains why text-to-video has stalled on short animated images, and what it will take to get past that plateau.マルチモーダルとメディアGenerative media画像と動画+3
1:32:22EN
Cognitive Revolution "How AI Changes Everything"· 2023年6月29日ポッドキャストA Million Bytes and 256 Symbols: Meta's MEGABYTE Wants to Throw the Tokenizer Awayホスト Nathan LabenzLili Yu of Meta AI explains a multiscale transformer that predicts million-byte sequences, skips tokenization, and aims to model any file as raw bytes.モデルと学習Multimodal AITransformers & attention+3
1:18:18EN
Cognitive Revolution "How AI Changes Everything"· 2023年6月20日ポッドキャストFifteen Thousand Brain Numbers Were Enough to Reconstruct What Someone Sawホスト Nathan LabenzTanishq Mathew Abraham walks through MindEye, the fMRI-to-image system that maps a handful of voxel values onto CLIP and diffusion models.マルチモーダルとメディアNeuroscience & AIMultimodal AI+3
1:25:35EN
Cognitive Revolution "How AI Changes Everything"· 2023年5月21日ポッドキャストTwo and a Half Years From 33.3% to 86.5%: Google Sent Foundation Models to Medical Schoolホスト Nathan LabenzVivek Natarajan walks Nathan Labenz through Med-PaLM and Med-PaLM 2: the data-light techniques, the nine-axis clinician evals, and why a high USMLE-style score is the wrong trophy.モデルと学習AI in healthcareファインチューニング+3
スライド5:24EN
Matthew Berman· 2023年5月12日Google I/O 2023: Bard, PaLM 2 and AI Across Google's ProductsMatthew Berman · Forward FutureMatthew Berman reviews Google's 2023 AI announcements and weighs its focus on improving established products.AI Strategyプロダクトと UXモデルと学習+1
スライド7:53EN
Matthew Berman· 2023年4月4日HuggingGPT: Using a Language Model to Coordinate AI ToolsMatthew Berman · Forward FutureMatthew Berman explains a research system that routes multimodal tasks to specialist models using a language model as controller.Agent orchestrationMultimodal AIモデルと学習+1
1:29:31EN
Cognitive Revolution "How AI Changes Everything"· 2023年3月30日ポッドキャスト130,000 Teleop Demos: Google's GPT Playbook for Robotsホスト Nathan LabenzKeerthana Gopalakrishnan of Google Robotics tells Nathan Labenz how RT-1, SayCan, and PaLM-E turn language-model scaling into kitchen-ready mobile manipulators.エージェントRoboticsMultimodal AI+3
1:21:20EN
Cognitive Revolution "How AI Changes Everything"· 2023年3月9日ポッドキャストFreeze the eyes and the brain. Train only the optic nerve.ホスト Nathan LabenzJunnan Li and Dongxu Li tell Nathan Labenz how BLIP cleaned noisy web captions, and how BLIP-2 connected a frozen vision model to a frozen language model in under ten days on one A100.マルチモーダルとメディアMultimodal AI画像と動画+3
45:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年2月16日ポッドキャスト · 2 人Emad Mostaque’s bet: open small models, not one giant brainホスト Sarah Guo, Elad GilStability AI’s founder tells No Priors why foundation models should be public infrastructure, why small models can beat giant ones, and what that means for media, medicine, and AGI.オープンソースとコミュニティOpen-weight modelsMultimodal AI+3
スライド 8 枚1:03:29ZH
跟李沐学AI· 2023年1月12日多模态论文串讲:BLIP、CoCa 与 BEiT-3从图文数据清理到统一预训练,梳理三种视觉语言模型的结构、目标函数与相互联系。Multimodal AIモデルと学習Data quality & curation
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