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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.
55:08ENOne Model Inside 38 Products: Paige Bailey on How Google Trains and Ships PaLM 2진행자 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 Change게스트 Cris Valenzuela · 진행자 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 Adoption게스트 Howie Liu · 진행자 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 List진행자 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.
35:24ENThe Author of Attention Is All You Need Now Compiles mRNA Like Bytecode진행자 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.
15:49ENMatthew 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.
3:23ENLori Jiménez on Listening, Sales Leadership and Retention게스트 Lori Jiménez · 진행자 Harry StebbingsA quickfire discussion of hiring expectations, remote selling and customer success.
1:12:29ENJason Lemkin and Rick Zullo Debate Venture Fund Size, Paper Marks and Founder Relationships게스트 Jason Lemkin, Rick Zullo · 진행자 Harry StebbingsThe investors disagree over pitching and portfolio construction while examining how fund economics shape founders, boards and returns.
24:40ENTim Urban on Curiosity, Research and the Writing Process게스트 Tim Urban · 진행자 Harry StebbingsThe Wait But Why writer explains how he chooses questions, learns unfamiliar subjects and turns research into stories for curious readers.
1:04:28ENNick Huber on Delegation, Wealth and Building a Balanced Life게스트 Nick Huber · 진행자 Harry StebbingsThe entrepreneur discusses managing people, the pressures of an online brand, family choices and his views on wealth and entrepreneurship.
14:03ENAI News in August 2023: CAPTCHAs, LK-99, Medical Models and Generative AgentsMatthew Berman · Forward FutureMatthew Berman surveys a week of AI and technology stories, from automated CAPTCHA solving and robot prices to clinical research, content moderation and model safety.
58:04ENRichard Socher on Language Models, Search and the Limits of AGI Predictions게스트 Richard Socher · 진행자 Harry StebbingsThe You.com founder discusses unified models, factual retrieval, competition in search and why rapid AI progress does not settle the future.
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