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16:39ENPhi-1 and the Value of Textbook-Quality Training DataA 2023 analysis of a small coding model, synthetic data, repeated training and uncertain AI timelines.
7:05ENAider’s Early Coding Assistant: Snake and an Existing Rails ProjectMatthew Berman · Forward FutureMatthew Berman demonstrates the terminal tool’s 2023 workflow, from generating and iterating on a game to proposing a dependency change in a repository.
1:47:05ENEdit Meaning, Not Tokens: Linus Lee on Latent-Space Interfaces진행자 Nathan LabenzThe Notion AI product lead walks Nathan Labenz through the interfaces, model autopsies, and agency questions behind his research prototypes.
9:33ENTesting SDXL 0.9: Image Quality, Clipdrop and a Midjourney ComparisonMatthew Berman · Forward FutureIn June 2023, Matthew Berman tries Stability AI’s image model, compares selected prompts with Midjourney and demonstrates Clipdrop’s lighting tool.
2:09ENDan on Trading Desk Operations at Jane StreetDan · Jane StreetA London trading desk operations team member explains the variety of the role, what interviews seek, and why asking questions matters.
2:21ENVarun on Software Engineering at Jane StreetVarun · Jane StreetA London-based developer describes useful technical foundations, OCaml training and team matching at Jane Street.
54:00ENDouwe Kiela on Data, Retrieval and Enterprise AI게스트 Douwe Kiela · 진행자 Harry StebbingsThe Contextual AI CEO discusses language model trade-offs, evaluation, open models and the hurdles to enterprise use.
3:08:46ENWho owns the off switch? George Hotz on tinygrad, open-source AI, and God게스트 George Hotz · 진행자 Lex FridmanOn his third Lex Fridman podcast, the comma.ai and tiny corp founder argues that compute, intelligence, and the off switch should live in people's houses, not in a trusted few.
51:22ENThree IPOs Later, Frank Slootman Still Thinks the Job Is Urgency진행자 Sarah Guo, Elad GilSnowflake's CEO tells No Priors how he picked the right elevator, turned a 15-person backup startup into an EMC acquisition, and why a data lake is a landfill you should not train on.
18:08ENSix Language Models Compared on an Informal 2023 Prompt SetMatthew Berman · Forward FutureMatthew Berman tests coding, writing and reasoning with H2O GPT, finding a tie under a small and subjective rubric.
1:32:22ENA Million Bytes and 256 Symbols: Meta's MEGABYTE Wants to Throw the Tokenizer Away진행자 Nathan LabenzLili Yu of Meta AI explains a multiscale transformer that predicts million-byte sequences, skips tokenization, and aims to model any file as raw bytes.
1:04:52ENJennifer Hyman on Building Rent the Runway and Managing for the Long Term게스트 Jennifer Hyman · 진행자 Harry StebbingsThe founder discusses hiring, rental economics, paid marketing, board leadership and the work of turning a fashion subscription into a durable business.
5:02ENMatthew Berman on Publishing Videos About Unrestricted AI ModelsMatthew Berman · Forward FutureAfter viewers raise concerns, Berman explains how he weighs freedom of information, research and the risk of misuse.
1:52:46ENCharge Neural Nets by Connection Length, and the Black Box Splits Into Modules You Can See진행자 Nathan LabenzMIT physicist Ziming Liu walks Nathan Labenz through BIMT, a brain-inspired training trick that sparsifies networks until you can read them by looking.
59:36ENPascal Pfeiffer on Retrieval, Open Models, Kaggle and Fine-Tuning with H2O LLM StudioMatthew Berman, Pascal Pfeiffer · Forward FutureIn a 2023 interview, H2O.ai’s Pascal Pfeiffer explains document retrieval and parameter-efficient fine-tuning, reflects on Kaggle competitions and demonstrates LLM Studio. He and Matthew Berman also consider coding assistants and unverified rumors about model architecture.
27:25ENConvolution: Adding Probability DistributionsGrant Sanderson · 3Blue1BrownTwo visualizations connect weighted dice, continuous densities and the central limit theorem.
1:52:28ENAkin Babayigit on Building Tripledot, Mobile Games and Questioning Startup Advice게스트 Akin Babayigit · 진행자 Harry StebbingsThe Tripledot co-founder discusses execution, hiring, gaming economics and why founders should treat universal startup rules with care.
7:21ENTesting Orca Mini 13B, an Unofficial Model Inspired by OrcaMatthew Berman · Forward FutureMatthew Berman loads a quantized Orca Mini 13B and tries coding, reasoning, arithmetic, and summarization prompts. His 2023 informal test produces several failures and a few successes.
13:50ENMPT-30B: Running MosaicML’s Model Locally and Testing Its Chat VariantMatthew Berman · Forward FutureMatthew Berman reviews MosaicML’s June 2023 release, demonstrates a local setup, and puts the hosted chat model through an informal prompt rubric.
1:07:41ENRob Go on Raising Venture Funds and Building LP Relationships게스트 Rob Go · 진행자 Harry StebbingsThe NextView co-founder explains fund construction, anchor investors, fundraising follow-up and the trade-offs in seed investing.
39:37ENNobody Plans Dinner in Keywords진행자 Sarah Guo, Elad GilInstacart CEO Fidji Simo tells No Priors why generative AI finally lets grocery software answer the questions people actually ask, and why 80,000 existing stores still beat a dark warehouse.
8:17ENUsing OpenLLM to Serve Open Models Through an APIMatthew Berman · Forward FutureMatthew Berman demonstrates a local model server, its interactive API and a Python client in a 2023 walkthrough.
1:09:33ENGina Gotthilf on Duolingo Growth, Experiments and Public Relations게스트 Gina Gotthilf · 진행자 Harry StebbingsThe Latitud co-founder shares lessons on retention, testing, pitching journalists and turning coverage into distribution.
6:49ENReddit’s API Changes, AI Training Data and the Open InternetMatthew Berman · Forward FutureMatthew Berman argues that the 2023 Reddit API dispute exposed tensions between AI data demand, third-party developers and the people who create online content.
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