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4,458개정렬
4:01:26ENAndrej Karpathy: Reproducing GPT-2 from ScratchAndrej KarpathyBuild the 124-million-parameter GPT-2, accelerate its training, and evaluate the resulting model with validation loss and HellaSwag.
17:03ENQwen2 0.5B and 72B: A Hands-On ComparisonMatthew Berman · Forward FutureMatthew Berman tests coding, arithmetic and reasoning prompts on the smallest and largest Qwen2 models in a 2024 demonstration.
1:23:10ENThe night Flo Crivello slept five hours: GPT-4 never hit a wall진행자 Nathan LabenzThe Lindy AI founder walks Nathan Labenz through timelines, misuse, open-source risk, and why two longtime libertarians now want regulation.
53:43ENAshley Kelly on Hiring, Onboarding and Scaling Sales Development게스트 Ashley Kelly · 진행자 Harry StebbingsRippling’s sales-development leader discusses SDR roles, compensation, coaching and the practical challenges of growing a global team.
0:53ENNVIDIA’s Computex Keynote: Digital Humans, Weather and RoboticsMatthew Berman · Forward FutureMatthew Berman briefly reviews Jensen Huang’s announcements on AI-generated characters, weather modeling, Blackwell hardware and factory robots.
21:13ENAI Workers’ Right to Warn and the Debate Over AGI SafetyMatthew Berman · Forward FutureMatthew Berman examines a 2024 open letter on speaking up about AI risks alongside predictions from former OpenAI employees Leopold Aschenbrenner and Daniel Kokotajlo.
36:20ENA Hundred Million Tokens in Context Would Cost $10 Million. Tengyu Ma Runs the RAG Math진행자 Sarah Guo, Elad GilThe Stanford professor and Voyage AI founder argues that retrieval, not a giant context window, is how enterprises should manage private knowledge.
1:10:07ENSame Intelligence, 1% of the Price: Logan Kilpatrick on Gemini Flash진행자 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.
0:59ENNVIDIA’s Computex 2024 AI AnnouncementsMatthew Berman · Forward FutureMatthew Berman reviews gaming assistants, digital characters, AI laptops and developer tools in an NVIDIA partner video.
2:19:08ENHe Asked to Vanish from the Poster. The Second Time, Hollywood Did It for Him게스트 Kevin Spacey · 진행자 Lex FridmanKevin Spacey talks with Lex Fridman about Se7en, American Beauty, House of Cards, the 2017 allegations, and a father whose study held a Nazi flag.
1:13:59ENJensen Huang’s Computex 2024 Vision: NIM, Blackwell and Physical AIMatthew Berman, Jensen Huang · Forward FutureMatthew Berman presents NVIDIA’s keynote on AI infrastructure, digital humans, weather simulation and robot factories, with the demonstrations and vendor claims in context.
1:03:12ENAravind Srinivas on Reasoning, Model Economics and Building Perplexity게스트 Aravind Srinivas · 진행자 Harry StebbingsThe Perplexity co-founder discusses AI scaling, foundation-model competition, advertising and the challenges of building a search product.
0:55ENHard Fork on an AI System’s Golden Gate Bridge Responses진행자 Kevin Roose, Casey NewtonA humorous discussion of a model repeatedly invoking the bridge.
31:04ENThe Risk Is Not China Copying. It Is America Refusing to Use the Tools진행자 Nathan LabenzAt the 2024 Hill & Valley Forum, Alex Wang, Jack Clark, and Andrew Ng tell Senator Cory Booker that Chinese labs are inventing, open-source models are already strong, and the Pentagon’s real AI failure is under-adoption.
1:00ENThree Ways to Shard AI Models and Their TradeoffsA short guide to weight, input and pipeline parallelism, and the costs of splitting computation.
1:20:50ENJason Lemkin on SaaS Valuations, Private Equity and the Liquidity Problem게스트 Jason Lemkin · 진행자 Harry StebbingsThe SaaStr founder discusses slowing software growth, AI budgets, venture returns and why the next exit may be harder to find.
14:25ENTesting Phi-3 Vision, LLaVA-Llama 3 and GPT-4o on ImagesMatthew Berman · Forward FutureMatthew Berman compares three 2024 vision setups on image descriptions, screenshots, a meme and table extraction, with mixed results.
2:15:39ENRoman Yampolskiy Puts Superintelligent Ruin at 99.99 Percent게스트 Roman Yampolskiy · 진행자 Lex FridmanThe AI safety researcher tells Lex Fridman that controlling AGI is as impossible as a perpetual motion machine, and that tests, open source, and regulation cannot close the gap.
1:01:55ENA $9 AI nurse, an 86 on the medical boards, and a 10% extinction line진행자 Nathan LabenzNathan Labenz’s solo scouting report walks from medical state of the art through how models actually learn, then to live players, scaling trends, and a control plan that still does not exist.
3:11ENAlok on Quantitative Research at Jane StreetAlok Puranik · Jane StreetA researcher describes projects, useful mathematical background and how candidates can prepare for interviews.
20:51ENElon Musk’s Truth-Seeking AI: A 2024 Interview and ResponseMatthew Berman, Elon Musk · Forward FutureMatthew Berman questions how AI truthfulness, safety and accountability can be put into practice.
56:35ENMatt Lerner on Finding Growth Levers and Hiring Teams That Learn게스트 Matt Lerner · 진행자 Harry StebbingsThe former PayPal growth leader explains how startups can discover their strongest channels, choose customer-centered metrics and hire for curiosity.
1:00ENOpenAI Voice Demos: Translation and Math TutoringMatthew Berman · Forward FutureA short compilation shows a translation exchange and an assistant guiding a student through a triangle problem.
24:06ENOpenAI’s 2023 Board Crisis: Helen Toner’s Account and the Governance DebateMatthew Berman, Helen Toner · Forward FutureMatthew Berman examines a former director’s allegations, a subsequent review and competing views on AI safety oversight.
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