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1:30:21ENA Million DALL-E Images, Distilled into Twelve Minutes of Film진행자 Nathan LabenzWaymark’s Stephen Parker and Josh Rubin walk through how they turned stills from DALL-E 2 into The Frost, a narrative short, and what the next generation of video models changes.
12:49ENFalcon 180B: A 2023 Review of TII’s Open-Weight ModelMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and writing prompts while examining the model’s training scale and license.
59:53ENSuchit Dash on Dubsmash, Retention and the Decision to Sell게스트 Suchit Dash · 진행자 Harry StebbingsThe Dubsmash co-founder recounts a viral launch, a difficult rebuild around dance challenges, and the acquisition process that led to Reddit.
2:32:49ENGPT-4 Failed a Hollow Top Hat. Hollywood's AI Deal Closed Only Half the Loopholes.진행자 Nathan LabenzWriter Trey Kollmer returns with a strike update, a copyright briefing, and a riddle that still fools the best model.
1:08:53ENDavid Vélez on Nubank, Financial Access and AI Banking게스트 David Vélez · 진행자 Harry StebbingsThe Nubank founder discusses building a primary bank in Latin America, expanding beyond finance and the incentive questions facing AI advice.
2:07:49ENNobody avoids getting scarred. The question is how you deal with it게스트 Walter Isaacson · 진행자 Lex FridmanWalter Isaacson talks with Lex Fridman about the childhoods, demons, and working methods of Elon Musk, Steve Jobs, Einstein, Leonardo da Vinci, and Benjamin Franklin.
14:59ENJohn Mather on COBE, the Big Bang and Early Galaxies게스트 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 Discounting게스트 Doug Adamic · 진행자 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 Town진행자 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 3.5진행자 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 Judgment게스트 Nikhil Basu Trivedi · 진행자 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 AI진행자 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 Acquisition게스트 Mudassir Sheikha · 진행자 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 Vote게스트 Neri Oxman · 진행자 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 AI게스트 Noam Shazeer · 진행자 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 Model진행자 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 Moat진행자 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 Sale게스트 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.
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