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51:22EN
No Priors: AI, Machine Learning, Tech, & Startups· Jun 29, 2023Podcast · 2 speakersThree IPOs Later, Frank Slootman Still Thinks the Job Is UrgencyHost 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.Enterprise & strategyCompany BuildingLeadership+3
6 slides18:08EN
Matthew Berman· Jun 29, 2023Six 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.BenchmarksOpen-weight modelsModels & training+1
1:32:22EN
Cognitive Revolution "How AI Changes Everything"· Jun 29, 2023PodcastA Million Bytes and 256 Symbols: Meta's MEGABYTE Wants to Throw the Tokenizer AwayHost 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.Models & trainingMultimodal AITransformers & attention+3
1:04:52EN
20VC with Harry Stebbings· Jun 28, 2023Podcast · 2 speakersJennifer Hyman on Building Rent the Runway and Managing for the Long TermGuest Jennifer Hyman · Host Harry StebbingsThe founder discusses hiring, rental economics, paid marketing, board leadership and the work of turning a fashion subscription into a durable business.EntrepreneurshipCompany BuildingLeadership+2
5:02EN
Matthew Berman· Jun 28, 2023Matthew 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.Free SpeechSafety & governanceAI Safety+1
1:52:46EN
Cognitive Revolution "How AI Changes Everything"· Jun 27, 2023PodcastCharge Neural Nets by Connection Length, and the Black Box Splits Into Modules You Can SeeHost 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.Models & trainingModel InterpretabilityML fundamentals+3
5 slides59:36EN
Matthew Berman· Jun 27, 2023Pascal 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.Fine-tuningRetrieval-augmented generationOpen-weight models+2
27:25EN
3Blue1Brown· Jun 27, 2023Convolution: Adding Probability DistributionsGrant Sanderson · 3Blue1BrownTwo visualizations connect weighted dice, continuous densities and the central limit theorem.MathematicsEducation
1:52:28EN
20VC with Harry Stebbings· Jun 26, 2023Podcast · 2 speakersAkin Babayigit on Building Tripledot, Mobile Games and Questioning Startup AdviceGuest Akin Babayigit · Host Harry StebbingsThe Tripledot co-founder discusses execution, hiring, gaming economics and why founders should treat universal startup rules with care.EntrepreneurshipCompany BuildingProduct Strategy+2
4 slides7:21EN
Matthew Berman· Jun 26, 2023Testing 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.Open-weight modelsEvalsDistillation+2
4 slides13:50EN
Matthew Berman· Jun 23, 2023MPT-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.Open-weight modelsLocal inferenceQuantization+2
1:07:41EN
20VC with Harry Stebbings· Jun 23, 2023Podcast · 2 speakersRob Go on Raising Venture Funds and Building LP RelationshipsGuest Rob Go · Host Harry StebbingsThe NextView co-founder explains fund construction, anchor investors, fundraising follow-up and the trade-offs in seed investing.Venture CapitalInvestingDecision Making+1
39:37EN
No Priors: AI, Machine Learning, Tech, & Startups· Jun 22, 2023Podcast · 2 speakersNobody Plans Dinner in KeywordsHost 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.Enterprise & strategyAgentic commerceAI Strategy+3
3 slides8:17EN
Matthew Berman· Jun 22, 2023Using 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.Open-weight modelsInferenceInfrastructure & deployment+1
1:09:33EN
20VC with Harry Stebbings· Jun 21, 2023Podcast · 2 speakersGina Gotthilf on Duolingo Growth, Experiments and Public RelationsGuest Gina Gotthilf · Host Harry StebbingsThe Latitud co-founder shares lessons on retention, testing, pitching journalists and turning coverage into distribution.Growth StrategyExperimentationProduct-Led Growth+2
6:49EN
Matthew Berman· Jun 21, 2023Reddit’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.Open-source ecosystemsData quality & curationPrivacy & data governance+2
3:11:35EN
Lex Fridman· Jun 21, 2023Podcast · 2 speakersSearch was always a hack: Marc Andreessen on AI, truth, and the next internetGuest Marc Andreessen · Host Lex FridmanLex Fridman sits down with the Mosaic co-creator and Andreessen Horowitz founder to ask whether Google Search, the browser, and open-source AI survive the decade.Enterprise & strategySearch & retrievalSynthetic data+3
1:18:18EN
Cognitive Revolution "How AI Changes Everything"· Jun 20, 2023PodcastFifteen Thousand Brain Numbers Were Enough to Reconstruct What Someone SawHost Nathan LabenzTanishq Mathew Abraham walks through MindEye, the fMRI-to-image system that maps a handful of voxel values onto CLIP and diffusion models.Multimodal & mediaNeuroscience & AIMultimodal AI+3
7 slides4:36EN
Matthew Berman· Jun 20, 2023Testing WizardCoder 15B as a Local Coding AssistantMatthew Berman · Forward FutureMatthew Berman runs the 2023 WizardCoder model locally, testing small Python exercises and a longer Snake game.Models & trainingLocal inferenceSoftware engineering+2
5 slides9:46EN
Matthew Berman· Jun 19, 2023Installing Text Generation WebUI on Windows: A 2023 Local-Model WalkthroughMatthew Berman · Forward FutureMatthew Berman installs an early version of Text Generation WebUI, resolves setup errors and explains model downloads and interface settings. The steps and packages are historical; consult the project’s current documentation for a modern installation.Local inferenceOpen-weight modelsInfrastructure & deployment+1
1:16:44EN
20VC with Harry Stebbings· Jun 19, 2023Podcast · 2 speakersAlex Lebrun on AI Assistants for Doctors, Model Limits and Building NablaGuest Alex Lebrun · Host Harry StebbingsThe Nabla co-founder explains his approach to healthcare AI, lessons from Facebook and his 2023 views on competition and regulation.AI in healthcareFoundation ModelsAI Regulation+2
3:15:07EN
Lex Fridman· Jun 18, 2023Podcast · 2 speakersWikipedia Worked Once Writing Stopped Feeling Like Grad SchoolGuest Jimmy Wales · Host Lex FridmanJimmy Wales tells Lex Fridman how Nupedia's seven-stage review died, why Wikipedia still refuses ads and governments, and what large language models should actually do with an encyclopedia.Open source & communityOpen-source ecosystemsFree Speech+3
1:02:21EN
20VC with Harry Stebbings· Jun 16, 2023Podcast · 2 speakersNoah Weiss on Product-Led Growth and Scaling SlackGuest Noah Weiss · Host Harry StebbingsSlack’s product leader discusses product principles, enterprise growth, speed and the lessons from products that did not work.Product-Led GrowthProduct ManagementProduct Strategy+2
59:28EN
Cognitive Revolution "How AI Changes Everything"· Jun 16, 2023PodcastFrom $500,000 to $50,000: MosaicML Made Training Your Own Model a Priced ProductHost Nathan LabenzJonathan Frankle and Abhi Venigalla explain who is training custom LLMs, why extraction beats chat, and how ALiBi stretches a 65k context window.Models & trainingFine-tuningPretraining & midtraining+3
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