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26:37ENApple Vision Pro After 72 Hours: Strengths, Friction and AI PotentialMatthew Berman · Forward FutureMatthew Berman reviews the first-generation headset’s controls, comfort, apps and immersive experience, then considers its potential for AI.
1:38:44ENDavid Tisch and Terrence Rohan on Seed Investing, Conviction and Founder Relationships게스트 David Tisch, Terrence Rohan · 진행자 Harry StebbingsTwo seed investors discuss price, group decisions, follow-on capital and the limits of investor influence—and disagree on signaling.
57:49ENWill Wu on Human-Centered Product Design, Snap and AI게스트 Will Wu · 진행자 Harry StebbingsThe Match Group CTO shares lessons from Snapchat Discover and Snap Games, and explains how he combines user empathy, rapid prototyping and technical judgment.
2:22:18ENOur Palestinian Casualties Are Always Your Footnotes게스트 Omar Suleiman · 진행자 Lex FridmanImam Omar Suleiman tells Lex Fridman that October 7 was a predictable explosion of occupation, and that justice means ending apartheid rather than managing it with kindness.
4:56ENIf the Mind Is a Tool, AI Looks Less Like a Threat진행자 Nathan LabenzYohei Nakajima and Nathan Labenz pause a TED AI talk to connect agent-building habits with East–West ideas of identity.
20:52ENHow a 67-Byte PNG Stores a Single Black PixelTheo Browne · Theo - t3․ggTheo Browne walks through PNG signatures, chunks, filtering and compression using an unusually small example.
1:12:20ENDave Kellogg on SaaS Metrics, Sales Forecasting and Efficient Growth게스트 Dave Kellogg · 진행자 Harry StebbingsThe software executive explains why he separates acquisition, retention and margin, and offers practical ways to improve forecasting and customer relationships.
15:17ENOCaml Locals, Modes, and SubmodingRichard Eisenberg · Jane StreetA worked explanation of how local and global modes control escaping values, and how those modes interact with function types.
38:48ENShopify Built a Copilot, Not an Autopilot, for Every Merchant진행자 Sarah Guo, Elad GilShopify VP of Core Product Glen Coates on collapsing duplicate engines, shipping AI that proposes but never commits, and teaching storefront search to understand a sweater.
9:25ENMatthew Berman Tests Meta’s Code Llama 70B on a Snake GameMatthew Berman · Forward FutureA 2024 look at Meta’s coding-model release, a SQL-focused fine-tune and a hands-on test that did not work on the first attempt.
0:42ENLLaVA 1.6 Adds Higher-Resolution Image UnderstandingMatthew Berman · Forward FutureMatthew Berman reviews the January 2024 release of LLaVA 1.6 and its local availability through Ollama.
7:20ENUsing Cody and Ollama for Local Code CompletionMatthew Berman · Forward FutureIn a sponsored 2024 tutorial, Matthew Berman sets up Code Llama 7B for Cody autocomplete and demonstrates additional hosted coding features.
1:45:21EN600,000 Attack Prompts, and Nearly 40% Still Pwned GPT-4진행자 Nathan LabenzSander Schulhoff walks Nathan Labenz through the prompting habits that still work, the role-play myth that does not, and the global HackAPrompt contest that mapped how language models get hijacked.
58:00ENRyan Akkina on MIT’s Venture Portfolio and Direct Co-Investing게스트 Ryan Akkina · 진행자 Harry StebbingsThe MIT investment team member discusses manager selection, liquidity, co-investment structures and the long feedback loop in venture capital.
35:04ENDave Ripley on Crypto Regulation, Payments and Leading Kraken게스트 Dave Ripley · 진행자 Harry StebbingsThe Kraken CEO makes the case for cryptocurrency and a different regulatory approach, while Harry Stebbings challenges its practical advantages.
1:21:28ENThe Prompt Is a Bug: Suhail Doshi’s Bet on Control Over Pixels진행자 Nathan LabenzThe Mixpanel founder tells Nathan Labenz how a cloud browser, a canceled tweet, and a Thursday weight drop shaped Playground AI’s bet on images.
1:00ENVisualizing the Electric Field Around a Moving ChargeA short tour of field-vector animations and the law behind them.
40:58EN99% of Factory Robots Are Dumb. Covariant Wants the Smart Ones Working in Warehouses First진행자 Sarah Guo, Elad GilFormer OpenAI researcher Peter Chen explains why robot foundation models have to be trained on production floors, not in labs.
15:11ENBuilding a Transcript-to-Article Team in AutoGen StudioMatthew Berman · Forward FutureMatthew Berman configures a retrieval skill, two agents and a group workflow, then troubleshoots missing credentials and output.
1:13:51ENSean Murray on Teaching Buyers and Moving into Enterprise Sales게스트 Sean Murray · 진행자 Harry StebbingsThe Greenhouse revenue leader explains how he approaches discovery, renewals, enterprise readiness and sales hiring.
2:24ENWebAuthn in Two Minutes: Public Keys Instead of PasswordsEli HoldernessEli Holderness introduces authenticators and the FIDO2 standards.
2:20:04ENShapiro vs Destiny: Two Questions That Never Meet진행자 Lex FridmanLex Fridman sits Ben Shapiro and Destiny down for a long-delayed debate on liberalism, Trump, Gaza, Ukraine, January 6, and whether history is allowed to go backward.
1:30:41ENThe Model Is a Baked Cake. NYT v. OpenAI Will Likely Cut a Middle Path진행자 Nathan LabenzTech lawyer Cecilia Ziniti maps the Constitution’s IP clause onto the New York Times lawsuit — and explains why a court is unlikely to order GPT-4 destroyed.
12:52ENOCaml Local Variables, Return Values and RegionsRichard Eisenberg · Jane StreetA worked example shows how `local_` and `exclave_` let a function accept a local value and return a local structure in its caller's region.
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