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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 ProblemInvitado: Jason Lemkin · Presenta: 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 PercentInvitado: Roman Yampolskiy · Presenta: 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 linePresenta: 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 LearnInvitado: Matt Lerner · Presenta: 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.
1:15:53ENMike Schroepfer on Leadership, Climate Technology and Clean EnergyInvitado: Mike Schroepfer · Presenta: Harry StebbingsThe former Meta CTO explains how leaders align teams and how his climate investment firm evaluates technology, financing and market risk.
9:14ENOCaml Local Function Types: Why Partial Application Can EscapeRichard Eisenberg · Jane StreetRichard Eisenberg uses a list-append example to show how a local argument changes the mode of a partially applied function in Jane Street’s OCaml compiler branch.
9:53ENTesting Microsoft Phi-3 Medium Locally: Mixed Coding and Reasoning ResultsMatthew Berman · Forward FutureMatthew Berman runs a quantized Phi-3 Medium on a MacBook and explores coding, arithmetic and reasoning prompts.
1:24:54ENJason Lemkin on SaaS Investing, Churn and Seed ValuationsInvitado: Jason Lemkin · Presenta: Harry StebbingsThe SaaStr founder revisits successful and disappointing deals, explains his diligence process and assesses the economics of seed investing.
15:20ENOpenAI Exit Agreements: Vested Equity, Reporting and the Company’s ResponseMatthew Berman · Forward FutureMatthew Berman discusses Vox’s reporting on departure documents and distinguishes equity cancellation from access to private-company tender offers.
0:58ENBiotechnology and the Challenge of Biological NetworksA short conversation about possible advances in biological intervention.
1:59:15ENA Protein Backbone in a Minute: The Real Progress, Bottlenecks, and Risks of AI BiologyPresenta: Nathan LabenzThe White House set a thousand-fold lower reporting bar for biological models than for language models—and this conversation shows why that gap already looks prescient.
3:10:49ENMemory Is Not a Replay: Charan Ranganath on Forgetting, Imagination, and False MemoriesInvitado: Charan Ranganath · Presenta: Lex FridmanA UC Davis neuroscientist explains why the brain is a cheap prediction machine — and why forgetting is how memory works.
1:19:26ENHard Fork on an AI Voice Dispute, Neuralink and Microsoft’s AI PCsInvitado: Noland Arbaugh, Karen Weise · Presenta: Kevin Roose, Casey NewtonA 2024 episode examines a voice controversy, one participant’s implant experience and computer privacy.
1:00ENNVIDIA and Microsoft’s 2024 RTX AI AnnouncementsMatthew Berman · Forward FutureMatthew Berman reviews Windows AI development, RTX inference improvements and potential uses in games and creative tools.
39:59ENFrom $6 million to $30 million ARR in three months: Garry Tan on YC’s AI boomPresenta: Sarah Guo, Elad GilThe Y Combinator president tells Sarah Guo and Elad Gil why this batch looks like nothing he has seen in twenty years, and why a weak elephant is good news for startups.
1:00ENJan Leike's Departure and Criticism of OpenAI's Safety PrioritiesMatthew Berman · Forward FutureIn May 2024, Matthew Berman discusses the departing alignment leader's concerns about OpenAI's safety culture and its preparations for more capable AI.
25:00ENMicrosoft 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.
59:47ENAaron Levie on AI Agents, SaaS Pricing and the Race Between Startups and IncumbentsInvitado: Aaron Levie · Presenta: Harry StebbingsThe Box CEO considers how AI might change business workflows, employment and software pricing, and why established companies and startups both have a chance.
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