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11:14ENGemini Advanced and Ultra 1.0: A First Look and Hands-On TestMatthew Berman · Forward FutureIn February 2024, Matthew Berman reviews Google’s Bard rebrand and tests its new paid Gemini experience on coding, logic and image recognition.
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.
1:21:28ENThe Prompt Is a Bug: Suhail Doshi’s Bet on Control Over PixelsModeration: 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.
35:22ENMatthew Berman’s Ten AI Predictions for 2024Matthew Berman, Mark Zuckerberg, Lex Fridman, Jaron Lanier, Joon Park, Elon Musk · Forward FutureAn early-2024 forecast covers model releases, robotics, agents, synthetic data and the risks of increasingly convincing bots.
1:17:20ENHume wants well-being in the objective function, measured 53 emotions at a timeModeration: Nathan LabenzAlan Cowen tells Nathan Labenz how Hume AI reads face, voice, and language, sells custom models at $1.66 an hour, and wants long-horizon well-being to override every other AI goal.
26:52ENGoogle’s Gemini Launch: Multimodal Demos, Benchmarks and Research ApplicationsMatthew Berman · Forward FutureMatthew Berman reviews Google’s December 2023 Gemini report and promotional demonstrations, from visual reasoning to scientific literature screening.
6:57ENA Camera Narrator Using GPT-4 Vision and ElevenLabsMatthew Berman · Forward FutureMatthew Berman demonstrates a 2023 project that turns webcam frames into spoken nature-documentary-style narration.
1:19:24ENA Toy Paper Did Not Prove LLMs Cannot Generalize. The Discourse Still Ran With It.Moderation: Nathan LabenzNathan Labenz and Erik Torenberg unpack a viral DeepMind result, a weekend reproduction, and a premature war over voluntary AI commitments.
1:36:39ENOpenAI’s $5 Million Bet: A 60-Person Team Wants GPT-4V to Give Cars Common SenseModeration: Nathan LabenzGhost Autonomy cofounder John Hayes tells Cognitive Revolution why a multimodal model on the driving path could reset self-driving after two decades of DARPA-era stacks.
1:14:48ENDevDay Probably Created Thousands of Startups, Says OpenAI's Logan KilpatrickModeration: Nathan LabenzThe day after OpenAI's first developer conference, Dev Relations lead Logan Kilpatrick tells Nathan Labenz why thin wrappers were never companies, why agents were deliberately not shipped fully autonomous, and what $2 million custom models are for.
1:32:40ENThe Historian Who Taught GPT-3.5 to Beat GPT-4Moderation: Nathan LabenzMark Humphries on a kilometer of unread paper, fur-trade jargon that embeddings cannot see, and why cheap processing will force history to be rewritten.
9:21ENDALL·E 3 in Bing and ChatGPT: A 2023 WalkthroughMatthew Berman · Forward FutureMatthew Berman tries DALL·E 3 in two interfaces and compares logo lettering and image styles with Leonardo.ai, documenting both promising results and service delays.
18:23ENEarly ChatGPT Vision Examples: From Diagrams to Code and Visual MistakesMatthew Berman · Forward FutureMatthew Berman surveys 2023 image-input demonstrations, including education, design and programming, and examines examples that were not verified or got details wrong.
2:17:30ENGemini Became the Daily Driver. A GPT-5 Worthy of the Name Would Make Agents Work.Moderation: Nathan LabenzZvi Mowshowitz returns to Cognitive Revolution to unpack Gemini 1.5, Sora, superalignment, sleeper agents, and the live-player map of frontier labs.
20:26ENAI News in September 2023: ChatGPT Vision, Meta AI and Mistral 7BMatthew Berman · Forward FutureMatthew Berman reviews a busy week of AI launches, robotics demos and investment announcements, along with emerging questions about privacy and security.
1:04:38ENHundreds of Miles Apart, Zuckerberg and Fridman Sat Close Enough to See the WrinklesGast: Mark Zuckerberg · Moderation: Lex FridmanLex Fridman sat in a dark room in Austin wearing a Quest headset; Mark Zuckerberg sat in another conference room, also wearing one, and it did not feel like a video call.
55:08ENOne Model Inside 38 Products: Paige Bailey on How Google Trains and Ships PaLM 2Moderation: 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.
39:02ENAI’s product advantage is consistency. Its real weakness is getting conned.Moderation: Nathan LabenzNathan Labenz updates the Cognitive Revolution scouting report: jailbreaks, resume automation, Med-PaLM’s 40% radiology win, and what might follow Transformers.
39:50ENWhy AI Video Is Still a Four-Second CorgiModeration: Sarah Guo, Elad GilMeta research director Devi Parikh explains why text-to-video has stalled on short animated images, and what it will take to get past that plateau.
1:32:22ENA Million Bytes and 256 Symbols: Meta's MEGABYTE Wants to Throw the Tokenizer AwayModeration: Nathan LabenzLili Yu of Meta AI explains a multiscale transformer that predicts million-byte sequences, skips tokenization, and aims to model any file as raw bytes.
1:18:18ENFifteen Thousand Brain Numbers Were Enough to Reconstruct What Someone SawModeration: Nathan LabenzTanishq Mathew Abraham walks through MindEye, the fMRI-to-image system that maps a handful of voxel values onto CLIP and diffusion models.
1:25:35ENTwo and a Half Years From 33.3% to 86.5%: Google Sent Foundation Models to Medical SchoolModeration: Nathan LabenzVivek Natarajan walks Nathan Labenz through Med-PaLM and Med-PaLM 2: the data-light techniques, the nine-axis clinician evals, and why a high USMLE-style score is the wrong trophy.
5:24ENGoogle I/O 2023: Bard, PaLM 2 and AI Across Google's ProductsMatthew Berman · Forward FutureMatthew Berman reviews Google's 2023 AI announcements and weighs its focus on improving established products.
7:53ENHuggingGPT: Using a Language Model to Coordinate AI ToolsMatthew Berman · Forward FutureMatthew Berman explains a research system that routes multimodal tasks to specialist models using a language model as controller.
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