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1:41:45EN
Cognitive Revolution "How AI Changes Everything"· 2023년 5월 30일팟캐스트The Writers Aren't Luddites. They're Bargaining Over Who Holds the Models진행자 Nathan LabenzThree WGA members tell Nathan Labenz what ChatGPT can already do in a writers’ room — and which two studio nightmares the strike is trying to lock out.기업과 전략Generative mediaHuman-AI Collaboration+3
슬라이드 4장11:07EN
Matthew Berman· 2023년 5월 16일Testing MosaicML MPT-7B Chat and StoryWriter in 2023Matthew Berman · Forward FutureMatthew Berman examines MPT-7B model variants, their licenses and a mixed set of local tests.Open-weight modelsBenchmarks모델과 학습+1
슬라이드 3장7:41EN
Matthew Berman· 2023년 5월 5일Reconstructing Viewed Images From fMRI With Stable DiffusionMatthew Berman · Forward FutureMatthew Berman reviews a study combining brain scans with a pretrained image generator. The experiment reconstructed approximate images viewed by four participants under extensive scanning and training, not arbitrary thoughts.Neuroscience & AIBrain-Computer InterfacesGenerative media+1
슬라이드 2장7:53EN
Matthew Berman· 2023년 4월 29일AI Voice Imitations, ChatGPT Data Controls and Startup FundingMatthew Berman · Forward FutureMatthew Berman examines synthetic pop music and artist consent alongside April 2023 updates from OpenAI, Replit and Pinecone.Generative media음성 AIPrivacy & data governance+2
1:20:55EN
Cognitive Revolution "How AI Changes Everything"· 2023년 3월 24일팟캐스트A Custom Voice Used to Cost $10,000. Ten Minutes of Audio Now Clones It.진행자 Nathan LabenzPlay.ht CEO Mahmoud Felfel tells Nathan Labenz how text-to-speech jumped from robotic cloud APIs to director-level voice generation — and why the company is racing to put brakes on abuse.멀티모달과 미디어음성 AIGenerative media+3
슬라이드 9장15:37EN
Matthew Berman· 2023년 3월 22일AI News in March 2023: Firefly, Gen-2, Bard and Job ExposureMatthew Berman · Forward FutureMatthew Berman reviews early generative media launches, a labor-exposure study and single-image view synthesis.Generative mediaFuture of WorkAI research+2
슬라이드 3장3:58EN
Matthew Berman· 2023년 3월 7일Creating Imagined Childhood Portraits with MidjourneyMatthew Berman · Forward FutureMatthew Berman demonstrates a 2023 Discord workflow for prompting age-transformed portraits and tests a personal reference image.Generative mediaPrompting & in-context learningCreativity
슬라이드 6장12:39EN
Matthew Berman· 2023년 3월 5일Prompting for Realistic Images: Portraits, Food, Nature and InteriorsMatthew Berman · Forward FutureMatthew Berman experiments with Midjourney v4 prompts in 2023, showing how subject, lighting and descriptive details affect generated images.Generative mediaDesign
슬라이드 5장7:55EN
Matthew Berman· 2023년 2월 20일How to Train a Custom Image Model in Leonardo.aiMatthew Berman · Forward FutureMatthew Berman walks through Leonardo.ai’s 2023 model galleries, training-set guidance, and custom model workflow, then shares results from several experiments.Generative media모델과 학습
슬라이드 5장13:22EN
Matthew Berman· 2023년 2월 19일Three Approaches to AI Music: Soundraw, Synthesizer V and MusicLMMatthew Berman · Forward FutureA 2023 demonstration explores generated instrumentals, editable synthetic vocals and early text-to-music research.Generative mediaHuman-AI Collaboration제품과 UX
45:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 2월 16일팟캐스트 · 2명Emad Mostaque’s bet: open small models, not one giant brain진행자 Sarah Guo, Elad GilStability AI’s founder tells No Priors why foundation models should be public infrastructure, why small models can beat giant ones, and what that means for media, medicine, and AGI.오픈소스와 커뮤니티Open-weight modelsMultimodal AI+3
슬라이드 4장8:19EN
Matthew Berman· 2023년 2월 15일Leonardo.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.Generative mediaPrompting & in-context learning제품과 UX+1
슬라이드6:00EN
Matthew Berman· 2023년 2월 13일Nothing, 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.Generative mediaCreativityAI Safety+2
3:08EN
Matthew Berman· 2023년 2월 11일David 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.Generative media음성 AICreator Economy+1
48:52EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 2월 9일팟캐스트 · 2명Users 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.멀티모달과 미디어Generative media비전과 영상+3
1:09:11EN
Lex Fridman· 2019년 6월 10일팟캐스트 · 2명Don'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.제품과 UXGenerative mediaHuman-AI Collaboration+3
1:08:37EN
Lex Fridman· 2019년 4월 18일팟캐스트 · 2명A 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.모델과 학습Generative media머신러닝 기초+3
48:58EN
Lenny's Podcast팟캐스트NotebookLM'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.제품과 UXProduct StrategyAI Product Management+3
53:02EN
Unsupervised Learning: With Jacob Effron팟캐스트Adobe'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.제품과 UXGenerative mediaProduct Strategy+3
1:03:24EN
Unsupervised Learning: With Jacob Effron팟캐스트Why 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.멀티모달과 미디어Generative media비전과 영상+3
58:19EN
Unsupervised Learning: With Jacob Effron팟캐스트Runway'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.멀티모달과 미디어Generative media비전과 영상+3
1:02:57EN
Cognitive Revolution "How AI Changes Everything"팟캐스트Virtual 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.멀티모달과 미디어AI in healthcareMultimodal AI+1
51:45EN
Unsupervised Learning: With Jacob Effron팟캐스트Cameras 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.멀티모달과 미디어Generative media음성 AI+3
1:17:31EN
Cognitive Revolution "How AI Changes Everything"팟캐스트Image 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.멀티모달과 미디어Generative mediaMultimodal AI+3
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