필터 결과
210개정렬
8:19ENLeonardo.Ai in 2023: Generating Images, Remixing Models and Editing a CanvasMatthew Berman · Forward FutureMatthew Berman walks through Leonardo.Ai’s early image-generation interface, from style models and settings to community remixes, custom training and the beta canvas. Features and pricing have changed since this February 2023 demonstration.
6:00ENNothing, Forever: AI-Generated Comedy and the Future of TelevisionMatthew Berman · Forward FutureMatthew Berman examines the procedurally generated Seinfeld homage, its awkward comedy, moderation challenges and implications for future media.
3:08ENDavid Guetta’s AI-Generated Eminem Voice and the Questions It RaisesMatthew Berman, David Guetta · Forward FutureMatthew Berman discusses a synthetic vocal played during a DJ set and considers consent, creative use and possible legal disputes.
48:52ENUsers Wanted a Better Brush. Runway Built One-Click Greenscreen진행자 Sarah Guo, Elad GilRunway CEO Cristobal Valenzuela on why a model is not a product, why filmmakers hacked a four-frame-per-second tool, and why 80 percent is enough when nobody dies.
1:09:11ENDon't Ship Autopilot: Gavin Miller on AI That Leaves Creatives in Charge게스트 Gavin Miller · 진행자 Lex FridmanAdobe Research's head tells Lex Fridman why smart defaults, fixable errors, and intern-scale bets matter more than a fully automatic Photoshop.
1:08:37ENA Bar in Montreal, Then a Night of Code: Ian Goodfellow on Why GANs Work게스트 Ian Goodfellow · 진행자 Lex FridmanLex Fridman talks with Ian Goodfellow about the 2014 invention of generative adversarial networks, adversarial examples as a security problem, and what still has to be built before machines can hold a fact the way a person does.
48:58ENNotebookLM's Accidental Podcast Hit: A 20% Project, a Tiny Team, and a Remixable AI Editor진행자 Lenny RachitskyRaiza Martin explains how NotebookLM's Audio Overviews became a viral demo, how Google Labs let a tiny team ship like a startup, and where the product goes next.
53:02ENAdobe's Firefly Bet: A Billion Beta Images, Creative Control, and Trust at Scale진행자 Jacob EffronAdobe's Alexandre explains how Firefly moved from research to product, how Adobe balances creative control with generative speed, and why trust and feedback loops are central to its AI strategy.
1:03:24ENWhy Sora Bet on People, Not Just Pixels진행자 Jacob EffronThe Sora team explains how a video model became a social creation network, what cameos revealed about human creativity, and why the next frontier is world simulation.
58:19ENRunway's Chris Valenzuela on Why Taste Beats Tools in Generative Media진행자 Jacob EffronChris Valenzuela, CEO of Runway, explains why generative media is still early, how taste and iteration shape the work, and what has to change before AI media becomes a new art form.
1:02:57ENVirtual Biopsies in One Second: How a Seven-Year-Old CycleGAN Is Beating Newer Models in the Clinic진행자 Nathan LabenzTanishq Mathew Abraham explains how deep learning turns label-free 3D tissue images into virtual H&E stains fast enough to guide tumor surgery.
51:45ENCameras Optional: HeyGen's Joshua Xu on Avatars, Orchestration and Building Ahead of the Models진행자 Jacob EffronHeyGen co-founder and CEO Joshua Xu explains how AI avatars are replacing the camera for business video, and how the company handles quality, trust and safety, and capital.
1:17:31ENImage AI Is Still at the GPT-2 Stage: Suhail Doshi on Building a Unified Vision Model진행자 Nathan LabenzPlayground AI's founder explains why image generation has barely begun to deliver real utility, and why his team is betting 2024 on editing and a single model that can create, edit and understand pixels.
43:44ENRoblox's 20-Year Bet: Building the Holodeck with Native AI Models진행자 Sarah Guo, Elad GilRoblox CEO Dave Baszucki explains how 13 billion monthly hours of 3D interaction data could power smarter NPCs, virtual doppelgängers and a cloud-native future for games.
1:02:15ENSuno’s CEO Says the Future of Music Is a Conversation, Not a Prompt진행자 Jacob EffronSuno CEO Mikey Shulman explains how AI music is moving from text prompts to co-creation, why music evals are subjective, and what he would build next.









