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6 diapositivas18:08EN
Matthew Berman· 29 jun 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 modelsModelos y entrenamiento+1
1:32:22EN
Cognitive Revolution "How AI Changes Everything"· 29 jun 2023PódcastA Million Bytes and 256 Symbols: Meta's MEGABYTE Wants to Throw the Tokenizer AwayPresenta: 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.Modelos y entrenamientoMultimodal AITransformers & attention+3
1:04:52EN
20VC with Harry Stebbings· 28 jun 2023Pódcast · 2 vocesJennifer Hyman on Building Rent the Runway and Managing for the Long TermInvitado: Jennifer Hyman · Presenta: 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· 28 jun 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 SpeechSeguridad y gobernanzaAI Safety+1
1:52:46EN
Cognitive Revolution "How AI Changes Everything"· 27 jun 2023PódcastCharge Neural Nets by Connection Length, and the Black Box Splits Into Modules You Can SeePresenta: 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.Modelos y entrenamientoModel InterpretabilityFundamentos de ML+3
5 diapositivas59:36EN
Matthew Berman· 27 jun 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.Ajuste finoGeneración aumentada por recuperaciónOpen-weight models+2
27:25EN
3Blue1Brown· 27 jun 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· 26 jun 2023Pódcast · 2 vocesAkin Babayigit on Building Tripledot, Mobile Games and Questioning Startup AdviceInvitado: Akin Babayigit · Presenta: 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 diapositivas7:21EN
Matthew Berman· 26 jun 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 modelsEvaluacionesDistillation+2
4 diapositivas13:50EN
Matthew Berman· 23 jun 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· 23 jun 2023Pódcast · 2 vocesRob Go on Raising Venture Funds and Building LP RelationshipsInvitado: Rob Go · Presenta: 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· 22 jun 2023Pódcast · 2 vocesNobody Plans Dinner in KeywordsPresenta: 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.Empresa y estrategiaAgentic commerceAI Strategy+3
3 diapositivas8:17EN
Matthew Berman· 22 jun 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 modelsInferenceInfraestructura y despliegue+1
1:09:33EN
20VC with Harry Stebbings· 21 jun 2023Pódcast · 2 vocesGina Gotthilf on Duolingo Growth, Experiments and Public RelationsInvitado: Gina Gotthilf · Presenta: 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· 21 jun 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· 21 jun 2023Pódcast · 2 vocesSearch was always a hack: Marc Andreessen on AI, truth, and the next internetInvitado: Marc Andreessen · Presenta: 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.Empresa y estrategiaSearch & retrievalSynthetic data+3
1:18:18EN
Cognitive Revolution "How AI Changes Everything"· 20 jun 2023PódcastFifteen Thousand Brain Numbers Were Enough to Reconstruct What Someone SawPresenta: 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 y mediosNeuroscience & AIMultimodal AI+3
7 diapositivas4:36EN
Matthew Berman· 20 jun 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.Modelos y entrenamientoLocal inferenceSoftware engineering+2
5 diapositivas9:46EN
Matthew Berman· 19 jun 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 modelsInfraestructura y despliegue+1
1:16:44EN
20VC with Harry Stebbings· 19 jun 2023Pódcast · 2 vocesAlex Lebrun on AI Assistants for Doctors, Model Limits and Building NablaInvitado: Alex Lebrun · Presenta: 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· 18 jun 2023Pódcast · 2 vocesWikipedia Worked Once Writing Stopped Feeling Like Grad SchoolInvitado: Jimmy Wales · Presenta: 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.Código abierto y comunidadOpen-source ecosystemsFree Speech+3
1:02:21EN
20VC with Harry Stebbings· 16 jun 2023Pódcast · 2 vocesNoah Weiss on Product-Led Growth and Scaling SlackInvitado: Noah Weiss · Presenta: 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"· 16 jun 2023PódcastFrom $500,000 to $50,000: MosaicML Made Training Your Own Model a Priced ProductPresenta: Nathan LabenzJonathan Frankle and Abhi Venigalla explain who is training custom LLMs, why extraction beats chat, and how ALiBi stretches a 65k context window.Modelos y entrenamientoAjuste finoPretraining & midtraining+3
44:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 15 jun 2023Pódcast · 2 vocesAI Will Write Ten Times More Code. Someone Still Has to Keep It Running.Presenta: Sarah Guo, Elad GilDatadog co-founder Olivier Pomel on why faster generation moves value from writing software to understanding, securing, and operating it.Evaluaciones y observabilidadObservabilidad y fiabilidadDeveloper productivity+3
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