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55:13EN
Cognitive Revolution "How AI Changes Everything"· Sep 7, 2023PodcastTwo Days to a Prototype: How a16z Turned a Stanford Paper Into AI TownHost Nathan LabenzA companion named Alice, a weekend Phaser hack, and Martin Casado's argument that models will never replace formal languages.AgentsAgent engineeringAgent memory+3
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No Priors: AI, Machine Learning, Tech, & Startups· Sep 7, 2023Podcast · 2 speakersA Dinner-Plate Chip Cut Training From 60 Days to 3.5Host Sarah Guo, Elad GilCerebras CEO Andrew Feldman tells No Priors why wafer-scale silicon, not another GPU, is the answer to the compute crunch — and why most production models will stay at 13 billion parameters or below.Infrastructure & deploymentInferenceAI cost & performance+3
4 slides9:59EN
Matthew Berman· Sep 7, 2023Open Interpreter: A 2023 Local Code-Execution WalkthroughMatthew Berman · Forward FutureMatthew Berman installs Open Interpreter, analyzes local files with GPT-4 and tries a local Code Llama setup, with mixed results.Coding agentsLocal inferenceDeveloper workflows & testing+2
3 slides15:10EN
AI Explained· Sep 7, 2023AGI Beyond Chatbots: A 2023 Debate on Autonomy and SafetyA historical review of competing definitions, forecasts and safety proposals from AI leaders in September 2023.AGIAI SafetyAI agents+1
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20VC with Harry Stebbings· Sep 6, 2023Podcast · 2 speakersNikhil Basu Trivedi on Small Funds, Early Traction and Venture JudgmentGuest Nikhil Basu Trivedi · Host Harry StebbingsThe Footwork co-founder discusses fund size, the evidence he seeks before investing, portfolio decisions and his caution about the 2023 AI funding cycle.Venture CapitalFounders
4 slides4:35EN
Matthew Berman· Sep 5, 2023Running WizardCoder on a Cloud GPU: A 2023 RunPod WalkthroughMatthew Berman · Forward FutureMatthew Berman demonstrates downloading a quantized 13B coding model into a hosted text-generation interface, then explains how to stop the pod and avoid ongoing charges.Models & trainingInfrastructure & deploymentCoding agents
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Cognitive Revolution "How AI Changes Everything"· Sep 5, 2023PodcastAccuracy Dropped From 93% to 7% — Cryptography Wants to Put a Dashcam on AIHost Nathan LabenzDaniel Kang explains how zero-knowledge proofs could verify that a model ran as promised, and that a user is human, without exposing weights or biometrics.Security & safetyAI securityPrivacy & data governance+1
54:10EN
20VC with Harry Stebbings· Sep 4, 2023Podcast · 2 speakersMudassir Sheikha on Building Careem and the Uber AcquisitionGuest Mudassir Sheikha · Host Harry StebbingsThe Careem co-founder recounts an SMS-based launch, competing with a better-funded rival, board tensions and the decision to sell.FoundersCompany BuildingMarketplaces+2
3 slides14:59EN
Matthew Berman· Sep 2, 2023AI News in September 2023: Tesla, Code Llama, Drone Racing and CopyrightMatthew Berman · Forward FutureMatthew Berman surveys a week of AI announcements, from Tesla's driving demonstration and ChatGPT Enterprise to model releases, generative media and a copyright inquiry.AI StrategyCoding agentsAutonomous Driving+2
2:18:25EN
Lex Fridman· Sep 1, 2023Podcast · 2 speakersGrow Everything: Neri Oxman on Giving Nature a VoteGuest Neri Oxman · Host Lex FridmanThe designer-scientist who left MIT to build OXMAN talks silkworm pavilions, bees in space, and why the end of human agency might be the start of nature's.RoboticsCreativityScience Communication+3
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20VC with Harry Stebbings· Aug 31, 2023Podcast · 2 speakersNoam Shazeer on Character.AI, the Cost of Training Models and the Uses of General AIGuest Noam Shazeer · Host Harry StebbingsThe Character.AI co-founder explains his consumer strategy, language-model training and why he expects users to invent applications the company cannot predict.Foundation ModelsModels & trainingAI startups & small teams+2
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No Priors: AI, Machine Learning, Tech, & Startups· Aug 31, 2023Podcast · 2 speakersChatGPT Runs on His Framework. He Still Doesn't Want You Training a ModelHost Sarah Guo, Elad GilVercel founder Guillermo Rauch tells No Priors why frontend is the last mile of AI, why first-generation AI frameworks will be rewritten, and why bots are already stealing your tokens.Infrastructure & deploymentDeveloper workflows & testingObservability & reliability+3
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Cognitive Revolution "How AI Changes Everything"· Aug 31, 2023PodcastHugging Face Raised $235M. Community Still Is Not a MoatHost Nathan LabenzNathan Labenz and Erik Torenberg unpack Hugging Face's $4.5 billion Series D, and why a thriving open-source hub may still struggle to become a locked-in business.Open source & communityCompany BuildingOpen-source ecosystems+3
3 slides6:11EN
Matthew Berman· Aug 31, 2023Running WizardCoder Locally with Text Generation WebUIMatthew Berman · Forward FutureMatthew Berman walks through a 2023 setup for a quantized Code Llama-based coding model, from the Python environment to a simple test prompt.Local inferenceCoding agentsOpen-weight models+1
0:23EN
Lenny's Podcast· Aug 31, 2023PodcastWhy Product Quality Matters After the SaleGuest Meltem Kuran BerkowitzMeltem Kuran Berkowitz on customer expectations in business software.Product StrategyProduct Management
5 slides10:20EN
Matthew Berman· Aug 30, 2023Phind Code Llama 34B vs GPT-4: A 2023 Python Coding TestMatthew Berman · Forward FutureMatthew Berman compares a quantized Phind fine-tune with GPT-4 on games, short functions and refactoring, with mixed results.Open-weight modelsCoding agentsEvals+2
55:08EN
Cognitive Revolution "How AI Changes Everything"· Aug 29, 2023PodcastOne Model Inside 38 Products: Paige Bailey on How Google Trains and Ships PaLM 2Host Nathan LabenzAt Google I/O in May 2023, PaLM 2 arrived already running in more than two dozen products — and its lead product manager walks through what that actually took.Models & trainingMultimodal AIEvals+3
2 slides6:28EN
Matthew Berman· Aug 29, 2023A Historical GPT-3.5 Fine-Tuning WalkthroughMatthew Berman · Forward FutureMatthew Berman demonstrates generating synthetic examples in Colab and training a model to use a distinctive tone.Fine-tuningSynthetic dataModels & training
52:48EN
20VC with Harry Stebbings· Aug 28, 2023Podcast · 2 speakersCris Valenzuela on Creative AI, Runway and Building Through ChangeGuest Cris Valenzuela · Host Harry StebbingsRunway’s co-founder discusses early experimentation with video models, creative work, hiring and fundraising, and answers questions about the writers’ strike.Generative mediaAI Product ManagementFounders+1
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20VC with Harry Stebbings· Aug 25, 2023Podcast · 2 speakersHowie Liu on Airtable’s Enterprise Strategy and AI AdoptionGuest Howie Liu · Host Harry StebbingsThe Airtable founder discusses product-led growth, enterprise buying, AI implementation and the work that follows product-market fit.Product-Led GrowthEnterprise & strategyAI Strategy+2
3 slides16:22EN
Matthew Berman· Aug 25, 2023AI News in August 2023: Models, Copyright Disputes and the Business of AIMatthew Berman · Forward FutureMatthew Berman reviews a week of AI releases and legal battles, from Python in Excel and Meta's translation model to copyright and personalized feeds.AI HistoryGenerative mediaAI Regulation+2
52:48EN
Cognitive Revolution "How AI Changes Everything"· Aug 25, 2023PodcastOpenAI Cut Fine-Tuning 90 Percent, and Founders Crossed Llama 2 Off the ListHost Nathan LabenzNathan Labenz and Erik Torenberg walk through GPT-3.5 Turbo fine-tuning, why self-hosting still loses on total cost, and what is actually working in code, school, and medicine.Models & trainingFine-tuningAI cost & performance+3
35:24EN
No Priors: AI, Machine Learning, Tech, & Startups· Aug 24, 2023Podcast · 2 speakersThe Author of Attention Is All You Need Now Compiles mRNA Like BytecodeHost Sarah Guo, Elad GilJakob Uszkoreit on why Transformers won, why models spend compute on the wrong things, and why drug discovery has to become generation rather than screening.Models & trainingAI for scienceTransformers & attention+2
3 slides15:49EN
Matthew Berman· Aug 24, 2023Matthew Berman on AI Adoption, Hype and the Case for CautionMatthew Berman · Forward FutureA 2023 response to a skeptical assessment of ChatGPT and Bing weighs early usage patterns, creative work and AI risks.AI AdoptionHuman-AI CollaborationAI Safety+2
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