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14:59ENJohn Mather on COBE, the Big Bang and Early Galaxiesゲスト John MatherA conversation about cosmic background measurements and the questions that followed.
1:01:37ENDoug Adamic on Sales Discovery, Pipeline Quality and Why He Resists Discountingゲスト Doug Adamic · ホスト Harry StebbingsThe Brex revenue leader explains how he connects customer outcomes to urgency, coaches sales teams and builds a repeatable process.
55:13ENTwo Days to a Prototype: How a16z Turned a Stanford Paper Into AI Townホスト Nathan LabenzA companion named Alice, a weekend Phaser hack, and Martin Casado's argument that models will never replace formal languages.
30:03ENA Dinner-Plate Chip Cut Training From 60 Days to 3.5ホスト 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.
9:59ENOpen 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.
15:10ENAGI Beyond Chatbots: A 2023 Debate on Autonomy and SafetyA historical review of competing definitions, forecasts and safety proposals from AI leaders in September 2023.
1:08:23ENNikhil Basu Trivedi on Small Funds, Early Traction and Venture Judgmentゲスト Nikhil Basu Trivedi · ホスト 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.
4:35ENRunning 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.
1:20:06ENAccuracy Dropped From 93% to 7% — Cryptography Wants to Put a Dashcam on AIホスト 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.
54:10ENMudassir Sheikha on Building Careem and the Uber Acquisitionゲスト Mudassir Sheikha · ホスト Harry StebbingsThe Careem co-founder recounts an SMS-based launch, competing with a better-funded rival, board tensions and the decision to sell.
14:59ENAI 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.
2:18:25ENGrow Everything: Neri Oxman on Giving Nature a Voteゲスト Neri Oxman · ホスト 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.
36:33ENNoam Shazeer on Character.AI, the Cost of Training Models and the Uses of General AIゲスト Noam Shazeer · ホスト 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.
38:13ENChatGPT Runs on His Framework. He Still Doesn't Want You Training a Modelホスト 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.
1:01:09ENHugging Face Raised $235M. Community Still Is Not a Moatホスト 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.
6:11ENRunning 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.
0:23ENWhy Product Quality Matters After the Saleゲスト Meltem Kuran BerkowitzMeltem Kuran Berkowitz on customer expectations in business software.
10:20ENPhind 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.
55:08ENOne Model Inside 38 Products: Paige Bailey on How Google Trains and Ships PaLM 2ホスト 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.
6:28ENA 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.
52:48ENCris Valenzuela on Creative AI, Runway and Building Through Changeゲスト Cris Valenzuela · ホスト Harry StebbingsRunway’s co-founder discusses early experimentation with video models, creative work, hiring and fundraising, and answers questions about the writers’ strike.
56:44ENHowie Liu on Airtable’s Enterprise Strategy and AI Adoptionゲスト Howie Liu · ホスト Harry StebbingsThe Airtable founder discusses product-led growth, enterprise buying, AI implementation and the work that follows product-market fit.
16:22ENAI 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.
52:48ENOpenAI Cut Fine-Tuning 90 Percent, and Founders Crossed Llama 2 Off the Listホスト 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.
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