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93 件
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スライド 2 枚9:15EN
MBMatthew Berman· 2024年9月25日Llama 3.2 Adds Vision and Smaller On-Device ModelsMatthew Berman · Forward FutureIn a Meta-partnered 2024 video, Matthew Berman reviews the model family, its tooling and a brief hosted 1B demonstration.Open-weight modelsMultimodal AILocal inference+1
スライド 4 枚11:14EN
MBMatthew Berman· 2024年9月18日Pixtral 12B: Testing a 2024 Vision-Language ModelMatthew Berman · Forward FutureMatthew Berman runs informal image, text and interface-generation tests of Mistral’s Pixtral on a sponsor-provided cloud GPU.Multimodal AI画像と動画Open-weight models+1
2:04:15EN
Cognitive Revolution "How AI Changes Everything"· 2024年8月14日ポッドキャストA parrot cannot paraphrase — and Claude cannot be talked into harmホスト Nathan LabenzRobert Wright of the Nonzero podcast interviews Nathan Labenz on whether large language models understand anything, what Anthropic’s 10 million features actually show, and why open weights collide with U.S.–China policy.モデルと学習Model InterpretabilityMultimodal AI+3
スライド 5 枚8:39EN
MBMatthew Berman· 2024年8月6日Figure 02: A Look at Figure AI’s Humanoid Robot and Its Long-Term AmbitionsMatthew Berman · Forward FutureMatthew Berman examines Figure’s 2024 announcement, from redesigned hands and onboard vision to the company’s ambitions for physical labor and homes.RoboticsComputer VisionMultimodal AI+2
1:16:22EN
Cognitive Revolution "How AI Changes Everything"· 2024年7月9日ポッドキャストHe Spent 20 Hours Crafting a Prompt. DSPy Beat Him Anywayホスト Nathan LabenzSander Schulhoff walks through The Prompt Report — a 78-page survey of what actually works when you prompt large language models.Prompting & in-context learningPrompt optimizationエージェント工学+3
スライド 6 枚10:57EN
MBMatthew Berman· 2024年6月24日Testing Claude 3.5 Sonnet: Coding, Reasoning, and VisionMatthew Berman · Forward FutureMatthew Berman puts Anthropic’s June 2024 model through informal coding, math, puzzle, and image-understanding prompts.評価(Evals)コーディングエージェントMultimodal AI+2
1:37:07EN
Cognitive Revolution "How AI Changes Everything"· 2024年6月22日ポッドキャストA Text-Only AI Outdiagnosed GPs. Google Still Won't Ship It.ホスト Nathan LabenzGoogle researchers Vivek Natarajan and Khaled Saab walk Nathan Labenz through five medical-AI papers, from radiology reports to an AI doctor that still has to earn trust.モデルと学習AI in healthcareMultimodal AI+3
27:26EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年6月20日ポッドキャスト · 2 人A 40-Person Company With 40,000 Paying Customers Wants to Replace the Camera With AIホスト Sarah Guo, Elad GilHeyGen CEO Joshua Xu tells Sarah Guo and Elad Gil how avatars, localization, and a component-wise video stack are meant to knock the camera out of content production.マルチモーダルとメディアGenerative media画像と動画+3
1:10:07EN
Cognitive Revolution "How AI Changes Everything"· 2024年6月6日ポッドキャストSame Intelligence, 1% of the Price: Logan Kilpatrick on Gemini Flashホスト Nathan LabenzA former OpenAI developer-relations lead, now the product manager for Google AI Studio, walks through what Gemini 1.5 Flash actually changes for builders.プロダクトと UXAI cost & performanceMultimodal AI+3
スライド 4 枚25:00EN
MBMatthew Berman· 2024年5月23日Microsoft Build 2024: Copilot+ PCs, Phi-3 and AI DemosMatthew Berman, Satya Nadella, Sam Altman, Seth Juarez · Forward FutureMatthew Berman reviews selected Microsoft keynote announcements, product demonstrations and a conversation with Sam Altman.AI platform engineeringLocal inferenceMultimodal AI+2
スライド 3 枚30:55EN
MBMatthew Berman· 2024年5月17日GPT-4o's Early Demos: Voice, Tutoring, Meetings and AccessibilityMatthew Berman, Greg Brockman, Sal Khan, Imran · Forward FutureMatthew Berman examines OpenAI's May 2024 demonstrations and considers what real-time multimodal interaction might enable.Multimodal AI音声 AIAI in Education+1
30:16EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年5月16日ポッドキャスト · 2 人Suno's CEO Thinks a Billion People Will Make Music, Not Just Stream Itホスト Sarah Guo, Elad GilMikey Shulman tells No Priors why Suno skipped speech, charges from day one, and wants the line between listener and creator to disappear.マルチモーダルとメディアGenerative mediaMultimodal AI+3
スライド 3 枚13:37EN
MBMatthew Berman· 2024年5月16日Testing Gemini 1.5 Pro’s Long Context and Video UnderstandingMatthew Berman · Forward FutureMatthew Berman’s 2024 tests show useful image and video summaries alongside blocked code and missed details.Multimodal AIBenchmarks画像と動画+1
3:04:52EN
Cognitive Revolution "How AI Changes Everything"· 2024年5月1日ポッドキャストDoctors Chose AI on Eight of Nine Dimensions: A GPT-4 Red-Teamer's Scouting Reportホスト Nathan LabenzNathan Labenz tells 80,000 Hours what late-2023 systems can already do, which thresholds still matter, and why a polarized policy fight is a gift to heavy-handed regulation.企業と戦略安全性とガバナンスAI research+3
スライド 2 枚0:57EN
MBMatthew Berman· 2024年4月26日Grok Vision Preview: Reading a Diagram and Explaining a MemeMatthew Berman · Forward FutureMatthew Berman reviews two early examples of visual understanding, from a handwritten workflow to a workplace joke.Multimodal AIComputer Vision
スライド 3 枚16:28EN
MBMatthew Berman· 2024年4月23日Testing Reka Core: Multimodal Benchmarks, Coding and ReasoningMatthew Berman · Forward FutureMatthew Berman reviews Reka’s reported model comparisons and tests Core on code, logic and image understanding.Multimodal AIBenchmarksモデルと学習+1
24:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年4月18日ポッドキャスト · 2 人Image Generation Is Still a Loot Box. Suhail Doshi Wants to Scale Pixelsホスト Sarah Guo, Elad GilThe Playground AI founder tells No Priors why he skipped language models, how a noise-sampling trick fixed SDXL's muddy brightness, and what a large vision model would actually do.マルチモーダルとメディアGenerative media画像と動画+3
1:34:11EN
Cognitive Revolution "How AI Changes Everything"· 2024年4月17日ポッドキャストFrom forty hours in a scanner to one: reconstructing what you see from a shared brain spaceホスト Nathan LabenzPaul Scotti explains how MindEye2 maps a new person's fMRI into CLIP with an hour of data, and why a linear layer plus better image generators changed the cost of reading minds.マルチモーダルとメディアBrain-Computer InterfacesNeuroscience & AI+3
26:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年4月11日ポッドキャスト · 2 人GPT-4-Class Models Will Be Cheap. The Frontier Will Still Need a Patron.ホスト Sarah Guo, Elad GilSarah Guo and Elad Gil walk through Mosaic’s Law, Microsoft’s Inflection hire, where the real money sits, and why the first AI wave looks consumer.企業と戦略エンタープライズ AIAI Strategy+3
2:47:17EN
Lex Fridman· 2024年3月7日ポッドキャスト · 2 人If You Want Human-Level AI, Abandon Generative Modelsゲスト Yann Lecun · ホスト Lex FridmanYann LeCun tells Lex Fridman why autoregressive LLMs cannot plan, remember, or understand the physical world — and why open source is the only democratic answer.モデルと学習World modelsAGI(汎用人工知能)+3
1:01:53EN
Cognitive Revolution "How AI Changes Everything"· 2024年2月13日ポッドキャストCompanion Apps Open Twice as Often as TikTok. a16z Only Funds Weird but Workingホスト Nathan Labenza16z consumer partners Anish Acharya and Justine Moore walk Nathan Labenz through their Abundance Agenda for AI-native consumer apps.プロダクトと UXAI startups & small teamsProduct Strategy+3
1:21:28EN
Cognitive Revolution "How AI Changes Everything"· 2024年1月26日ポッドキャストThe Prompt Is a Bug: Suhail Doshi’s Bet on Control Over Pixelsホスト Nathan LabenzThe Mixpanel founder tells Nathan Labenz how a cloud browser, a canceled tweet, and a Thursday weight drop shaped Playground AI’s bet on images.マルチモーダルとメディアGenerative media画像と動画+3
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
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
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