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4,461 件
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1:42:17EN
Cognitive Revolution "How AI Changes Everything"· 2024年4月20日ポッドキャストThe Cheapest Inference Provider Is the Most Dangerousホスト Nathan LabenzFireworks AI cofounders Lin Qiao and Dmytro Ivchenko explain why subsidized GPU bills vanish, how LoRA serving can cut cost a hundredfold, and why OpenAI is the rival that actually matters.インフラとデプロイInferenceAI cost & performance+3
52:52EN
20VC with Harry Stebbings· 2024年4月19日ポッドキャスト · 2 人Girish Mathrubootham on Freshworks Pricing, Products and Scalingゲスト Girish Mathrubootham · ホスト Harry StebbingsThe Freshworks founder shares lessons from self-service software, a multi-product strategy, executive hiring and investing in Indian startups.SaaSProduct StrategyPricing Strategy+2
スライド 3 枚15:01EN
Matthew Berman· 2024年4月19日Testing Llama 3 at Launch: Code, Reasoning and Image GenerationMatthew Berman · Forward FutureMatthew Berman tries Meta AI’s new interface on a snake game, logic puzzles and rapid image generation.Open-weight models評価(Evals)モデルと学習+1
スライド 5 枚15:35EN
Matthew Berman· 2024年4月18日Meta Llama 3 Launch: Benchmarks, a Snake Test and the Meta AI AssistantMatthew Berman · Forward FutureMatthew Berman reviews the April 2024 release, tries a generated game and considers what downloadable models mean for developers.Open-weight modelsモデルと学習Benchmarks+2
スライド0:55EN
Matthew Berman· 2024年4月18日Meta Llama 3: A Quick Coding and Image DemonstrationMatthew Berman · Forward FutureMatthew Berman reviews the initial 8B and 70B Llama 3 release and tries a Python Snake game and an image prompt.Foundation ModelsOpen-weight modelsSoftware engineering+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
スライド 4 枚10:55EN
Matthew Berman· 2024年4月17日Boston Dynamics Unveils an Electric Atlas Humanoid RobotMatthew Berman · Forward FutureMatthew Berman examines the 2024 electric Atlas unveiling, its striking movement, and Boston Dynamics’ plans to test industrial applications with Hyundai.RoboticsAutonomous SystemsAI Adoption
スライド 2 枚0:42EN
Matthew Berman· 2024年4月17日Boston Dynamics Unveils an Electric Atlas RobotMatthew Berman · Forward FutureMatthew Berman introduces a brief 2024 demonstration of the new Atlas, released after the retirement of its hydraulic predecessor.RoboticsAutonomous Systems
スライド 4 枚14:21EN
Matthew Berman· 2024年4月17日Grok-1.5V Preview: Vision Examples and a New Spatial BenchmarkMatthew Berman · Forward FutureMatthew Berman reviews xAI’s 2024 multimodal model preview, its reported benchmark results and example image tasks.Multimodal AIComputer VisionBenchmarks+1
52:54EN
20VC with Harry Stebbings· 2024年4月17日ポッドキャスト · 2 人Vickie Peng on Building Less, Measuring Customer Value and Finding Product-Market Fitゲスト Vickie Peng · ホスト Harry StebbingsThe Sequoia product leader explains how to learn with less product, choose meaningful metrics and recognize different customer mindsets.Product StrategyProduct-Market FitProduct Management+2
2:50:44EN
Lex Fridman· 2024年4月17日ポッドキャスト · 2 人The Pirahã Have No Word for Oneゲスト Edward Gibson · ホスト Lex FridmanMIT psycholinguist Ted Gibson tells Lex Fridman why related words sit together, why language is not thought, and why large language models ace form while missing meaning.Neuroscience & AIAI researchPhilosophy of Mind+1
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
スライド 8 枚21:02EN
Matthew Berman· 2024年4月16日Limitless Pendant: A 2024 AI Wearable Launch and Its Privacy PromisesMatthew Berman, Dan Siroker · Forward FutureMatthew Berman watches the original Limitless announcement, weighing its promised recording features, consent controls and price against the risk of buying future functionality.Personal agentsプロダクトと UXPrivacy & data governance+2
スライド 5 枚19:46EN
Matthew Berman· 2024年4月15日Building a CrewAI Financial-Analysis Team on Lightning AIMatthew Berman · Forward FutureMatthew Berman demonstrates a 2024 two-agent workflow, first using Groq and then connecting a cloud-hosted Ollama model.エージェント工学Multi-agent systems開発ワークフローとテスト+1
53:06EN
20VC with Harry Stebbings· 2024年4月15日ポッドキャスト · 3 人Sam Altman and Brad Lightcap on OpenAI, Compute and AI Startupsゲスト Sam Altman, Brad Lightcap · ホスト Harry StebbingsOpenAI’s CEO and COO discuss their partnership, model progress, enterprise adoption and how startups might build alongside improving AI.OpenAIAI StrategyAI startups & small teams+2
2:51:59EN
Lex Fridman· 2024年4月13日ポッドキャスト · 2 人What's on Your Mind: Andrew Callaghan's Gonzo Tour of the American Edgeゲスト Andrew Callaghan · ホスト Lex FridmanThe Channel 5 host tells Lex Fridman how a three-word question, a 70-day hitchhike, and a Molotov on Lake Street turned comedy bits into a beat at the margins.StorytellingFree SpeechCreator Economy+1
スライド 7 枚12:02EN
Matthew Berman· 2024年4月13日Testing Karasu Mixtral 8x22B on Coding and Reasoning TasksMatthew Berman · Forward FutureMatthew Berman tries an early community fine-tune of Mistral's large mixture-of-experts model on a Snake game, arithmetic and logic puzzles.Open-weight modelsモデルと学習評価(Evals)+1
1:01:39EN
Cognitive Revolution "How AI Changes Everything"· 2024年4月13日ポッドキャストGPT-5 Wants 100 Trillion Tokens. Does Earth Have Enough?ホスト Nathan LabenzTraining GPT-3 took about a trillion tokens; GPT-4 took about ten trillion. The next jump is a data question as much as a compute one.モデルと学習Scaling LawsSynthetic data+3
スライド 4 枚34:20EN
Matthew Berman· 2024年4月12日Google’s 2024 Vertex AI Agent Builder: A First Look at Agents, Workspace and Code AssistMatthew Berman, Thomas Kurian, Ola Källenius, Amanda Lewis, Gabe Weiss · Forward FutureMatthew Berman reviews Google Cloud Next announcements, tests a weather agent and weighs customer-service demos against his expectations for autonomous tools.AI agentsエンタープライズ AIDeveloper productivity+2
1:15:57EN
20VC with Harry Stebbings· 2024年4月12日ポッドキャスト · 2 人Sam Blond on Hiring Sales Teams and Making Outbound Workゲスト Sam Blond · ホスト Harry StebbingsThe former Brex sales leader explains how founders can hire early reps, diagnose demand bottlenecks and build more distinctive outreach.SalesGo-to-MarketHiring+2
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
1:00EN
3Blue1Brown· 2024年4月11日How Word Vectors Can Encode RelationshipsA brief introduction to embeddings and the geometric analogies they can exhibit.Embeddings機械学習の基礎
0:59EN
Matthew Berman· 2024年4月10日Anthropic’s Many-Shot Jailbreaking ResearchMatthew Berman · Forward FutureMatthew Berman explains a 2024 study on how long sequences of examples can make some language models more likely to bypass safety safeguards.Agent red teamingAI Safetyコンテキストエンジニアリング
1:09:50EN
20VC with Harry Stebbings· 2024年4月10日ポッドキャスト · 2 人Kevin Ryan on Founders, Venture Ownership and Building Companiesゲスト Kevin Ryan · ホスト Harry StebbingsThe AlleyCorp founder discusses market selection, incubation economics, fundraising and liquidity, drawing on successes and losses across his career.Venture CapitalEntrepreneurshipFounders+2
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