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4,453 件
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21:59EN
Hard Fork· 2024年8月2日ポッドキャスト · 3 人How DeepMind’s Math Systems Reached an Olympiad Silver-Level Scoreゲスト Pushmeet Kohli · ホスト Kevin Roose, Casey NewtonPushmeet Kohli explains formal proofs, training, timing and the limits of a 2024 result.
3:18EN
Jane Street· 2024年8月1日Rory on Production Engineering and Incident Support at Jane StreetRory · Jane StreetA production engineer describes monitoring order engines, responding to outages and building a supportive team.オブザーバビリティと信頼性インフラとデプロイCareers+1
スライド 5 枚11:34EN
Matthew Berman· 2024年8月1日Testing Mistral Large 2: Coding, Reasoning and Safety in 2024Matthew Berman · Forward FutureMatthew Berman tests Mistral’s 123-billion-parameter model with small coding tasks, logic puzzles and ethical hypotheticals. The results are promising but narrowly scoped.Foundation Models評価(Evals)Open-weight models+2
46:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年8月1日ポッドキャスト · 2 人Oriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are Numberedホスト Sarah Guo, Elad GilGoogle DeepMind’s VP of research on Gemini, long context, the coming shift from pretraining to RL, and why AGI may never have a finish line.モデルと学習AGI TimelinesPretraining & midtraining+3
スライド 3 枚8:34EN
Matthew Berman· 2024年7月31日The Promise and Tradeoffs of Running AI on Phones and Other DevicesMatthew Berman · Forward FutureIn a Qualcomm-partnered video, Matthew Berman explores local AI, model routing and demonstrations across phones, PCs, cars and drones.Local inferenceModel routing & gatewaysAI cost & performance+2
1:09:06EN
20VC with Harry Stebbings· 2024年7月31日ポッドキャスト · 2 人Ethan Mollick on AI Adoption, Education and the Uncertain Path to AGIゲスト Ethan Mollick · ホスト Harry StebbingsThe Wharton professor argues that model progress is only part of the story: organizations, product design and human choices determine how AI changes work and education.AI AdoptionAI in EducationAI Strategy+2
42:08EN
Sequoia Capital· 2024年7月30日ポッドキャストMeta Trained a 405B Teacher on 16,000 GPUs — Then Told the World to Distill ItTwo days after Llama 3.1 405B shipped, Meta's generative-AI product lead walks Sequoia through why the most expensive model in the family is free, and why he thinks the frontier itself is heading toward commodity.オープンソースとコミュニティOpen-weight modelsDistillation+3
1:18:56EN
20VC with Harry Stebbings· 2024年7月29日ポッドキャスト · 2 人Delian Asparouhov on Founders Fund, Conviction and Building Companiesゲスト Delian Asparouhov · ホスト Harry StebbingsThe investor and Varda co-founder discusses venture partnerships, founder leadership, aerospace and the personal beliefs shaping his work.Venture CapitalInvestingCompany Building+2
スライド 3 枚13:40EN
Matthew Berman· 2024年7月29日Testing Llama 3.1 8B: Benchmark Gains and Mixed Practical ResultsMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and other prompts on the small model and finds several failures despite stronger reported benchmarks.Open-weight models評価(Evals)モデルと学習+1
0:48EN
Cognitive Revolution "How AI Changes Everything"· 2024年7月28日ポッドキャストInstrumental Convergence and the Concern About AI ShutdownWhy some researchers worry that certain means may help an AI pursue many different goals.AI Safety
1:32:45EN
Cognitive Revolution "How AI Changes Everything"· 2024年7月27日ポッドキャストHe doubled a company with AI — then asked the labs to pause hyperscalingホスト Nathan LabenzOn the Nick Halaris Show, Cognitive Revolution host Nathan Labenz argues for adopting today's models fast and slowing the race to systems more powerful than we are.セキュリティと安全性安全性とガバナンスExistential Risk+3
スライド 3 枚5:50EN
Matthew Berman· 2024年7月27日A Mixture-of-Agents Demo Using Groq and StreamlitMatthew Berman · Forward FutureMatthew Berman walks through a 2024 Groq-powered multi-agent project, from setup to inspecting its layered responses.Multi-agent systemsAgent orchestrationInference+1
52:53EN
20VC with Harry Stebbings· 2024年7月26日ポッドキャスト · 2 人Nilan Peiris on Wise: Product Value, Word of Mouth and Disciplined Growthゲスト Nilan Peiris · ホスト Harry StebbingsWise’s chief product officer explains how clear savings, useful content and careful acquisition spending supported growth, and where experiments fell short.Growth StrategyFintechProduct Strategy+1
スライド 5 枚20:40EN
Matthew Berman· 2024年7月26日SearchGPT, Llama 3.1 and AlphaProof: A July 2024 AI News RoundupMatthew Berman · Forward FutureMatthew Berman reviews new models, search, audio tools, OpenAI policy questions and DeepMind’s mathematical reasoning result.AI researchFoundation ModelsAI Safety+2
24:59EN
Hard Fork· 2024年7月26日ポッドキャスト · 3 人How a CrowdStrike Update Disrupted Computers Worldwideゲスト Kate Conger · ホスト Kevin Roose, Casey NewtonA 2024 interview explains the outage, recovery challenges and infrastructure dependencies.
44:08EN
Matthew Berman· 2024年7月25日Mark Zuckerberg on Llama 3.1, Open Models and Meta’s AI StrategyMatthew Berman, Mark Zuckerberg · Forward FutureMatthew Berman reacts to Zuckerberg’s 2024 interview on open-weight AI, safety, platform control and a future of personalized agents.Open-weight modelsAI StrategyAI Safety+2
41:25EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年7月25日ポッドキャスト · 2 人Even If the Models Froze Today, We've Extracted One-Millionth of the Valueホスト Sarah Guo, Elad GilAirtable CEO Howie Liu on why a 2012 vision deck still maps the company, why enterprise AI is stuck on imagination, and why codegen will not kill no-code before AGI.企業と戦略エンタープライズ AIProduct Strategy+3
スライド 5 枚10:02EN
Matthew Berman· 2024年7月24日Testing Llama 3.1 405B on Coding, Arithmetic and ReasoningMatthew Berman · Forward FutureMatthew Berman tries Meta's 2024 open-weight model on an informal set of prompts and demonstrates a sponsored dataset workflow.Open-weight modelsモデルと学習評価(Evals)+1
50:15EN
20VC with Harry Stebbings· 2024年7月24日ポッドキャスト · 2 人Jason Lemkin on Wiz, CrowdStrike and the SaaS Liquidity Crunchゲスト Jason Lemkin · ホスト Harry StebbingsThe SaaStr founder discusses a reported acquisition approach, a major outage and the economics of legal-tech and venture exits.Venture CapitalCybersecurityInvesting+2
51:36EN
Sequoia Capital· 2024年7月23日ポッドキャストKlarna's AI Took 700 Customer-Service Jobs. The Secret Was the ManualCEO Sebastian Siemiatkowski tells Sequoia how an OpenAI guinea-pig bet, a dispute-queue Slack message, and documentation written for an amnesiac employee produced $40 million of profit.企業と戦略エンタープライズ AICustomer support automation+3
0:58EN
Matthew Berman· 2024年7月23日Meta Releases Llama 3.1 and Its 405B ModelMatthew Berman · Forward FutureMatthew Berman argues that Meta's open-weight Llama 3.1 puts pressure on proprietary AI providers, while its license and deployment costs add important qualifications.Open-weight modelsFoundation ModelsAI Strategy
スライド 4 枚15:50EN
Matthew Berman· 2024年7月23日Llama 3.1: Meta’s 405B Model and the Open-Weight EcosystemMatthew Berman · Forward FutureMatthew Berman reviews Meta’s July 2024 release, the smaller models, reported benchmarks, synthetic data and the proposed Llama Stack.Open-weight modelsモデルと学習Benchmarks+2
1:09:44EN
20VC with Harry Stebbings· 2024年7月22日ポッドキャスト · 2 人Kevin Hartz on Airbnb, Holding Winners and the Tradeoffs of Venture Investingゲスト Kevin Hartz · ホスト Harry StebbingsThe A* co-founder discusses an exploding term sheet, fund liquidity, founder selection and why he prefers to hold exceptional companies.Venture CapitalInvestingFounders+2
2:46:20EN
Lex Fridman· 2024年7月21日ポッドキャスト · 2 人Jordan Jonas Won Alone Season 6 Without Losing a Poundゲスト Jordan Jonas · ホスト Lex FridmanThe survivalist tells Lex Fridman how a moose, a wolverine, freight trains, and a year with Evenki herders taught him to hunt, to wait, and to stay a candle when the woods go quiet.ReligionStorytellingPhilosophy+1
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