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1:16:11ENScooping Food Into Boxes Is 70 Percent of Plant LaborModeration: Nathan LabenzChef Robotics CEO Rajat Bhageria on 20 million plated meals, a foundation model for food, and why the kitchen may leave the house.
35:24ENScott Belsky: Models Are Commoditizing. Controls, Data, and Taste Are the MoatModeration: Jacob EffronAdobe’s chief product officer tells Unsupervised Learning why Project Neo leaking into Firefly, a three-second Premiere extend, and Superhuman-priced software all point to the same shift.
11:42ENOpenAI’s First Model Spec: Rules, Defaults and a Debate About PersuasionMatthew Berman · Forward FutureMatthew Berman reviews the May 2024 draft’s proposed model behavior and questions its example for correcting a false belief.
1:05:52ENInfinite AI Interns Are Already on the JobModeration: Nathan LabenzNathan Labenz tells computer-science students how to stand out when models are beating doctors on routine work and firms are hiring fewer juniors.
29:28ENDevin Will Not Replace Engineers. It Will Multiply Them, Says Cognition’s Scott WuModeration: Sarah Guo, Elad GilThe IOI champion behind Devin explains why an AI software engineer that you can watch over the shoulder creates more human engineers, not fewer.
1:29:14EN55% of People Have Had a Lucid Dream. Prophetic AI Wants the Rest to Have One Every NightModeration: Nathan LabenzProphetic AI co-founders Eric Wollberg and Wesley Berry tell Ate-a-Pi how a headband of EEG and focused ultrasound, steered by a neural transformer, is meant to light up the prefrontal cortex during REM.
2:09:50ENHe stayed up all night playing Civilization 6 with his mindModeration: Nathan LabenzDean W. Ball surveys EEG, ultrasound stimulation, and Neuralink with Nathan Labenz, and argues that merging with machines started decades ago.
24:22ENJonathan Ross on Groq's Inference Chips, AI Economics and Human AgencyMatthew Berman, Jonathan Ross · Forward FutureThe Groq founder explains the company's compiler-first approach and argues that inference speed could enable new applications, while discussing risks of handing decisions to AI.
38:01ENHalf of GDP Is Labor. Figure Wants Humanoids to Do the Work.Moderation: Sarah Guo, Elad GilBrett Adcock tells No Priors why a 21-month-old company raised $675 million to put general-purpose humanoid robots in factories first, then homes.
54:06ENBryan Johnson on New Ideas, Longevity and Algorithmic DecisionsGast: Bryan Johnson · Moderation: Harry StebbingsThe Blueprint founder explains his survival-centered philosophy and personal routines, while Harry Stebbings questions uncertainty, consent and social consequences.
13:34ENOpen Interpreter’s 01 Lite: A Voice Interface for Computer ControlMatthew Berman · Forward FutureA 2024 product demonstration shows a voice-controlled assistant carrying out desktop workflows. Matthew Berman then tests the underlying Open Interpreter software and encounters both successes and errors.
36:31ENFigma's One-Way Door Swung Open — With a Billion-Dollar ConsolationModeration: Sarah Guo, Elad GilAfter regulators killed the Adobe deal, Dylan Field tells No Priors how Figma kept building, where AI belongs in design, and why the company was never meant to be only a design tool.
12:34ENFigure 01 and the Path Toward More Capable RobotsMatthew Berman, Lex Fridman, Yann Lecun · Forward FutureMatthew Berman surveys humanoid and other robotics demonstrations, then shares Yann LeCun’s view on the work still needed for general-purpose robots.
9:15ENFigure 01 and Other Robot Demos: What the 2024 Clips ShowMatthew Berman · Forward FutureMatthew Berman reviews a humanoid making coffee, inexpensive robot arms and other robotics demonstrations. The clips show specific tasks, not proof of artificial general intelligence.
16:27ENMatthew Berman Reviews EMO’s Audio-Driven Portrait Video ResearchMatthew Berman, Jensen Huang · Forward FutureAlibaba researchers animate a portrait from an image and vocal audio; Berman examines the method, its limitations and the implications for trust in video.
2:00:03ENPatients Rated GPT-4 More Empathetic Than DoctorsModeration: Nathan LabenzAzeem Azhar of Exponential View maps the AI S-curve for Nathan Labenz: why the past always looks flat, why empathy went first, and what a million times more compute would actually change.
1:12:40EN3% of Users Said an AI Friend Ended Their Suicidal Thoughts. Then Replika Made the Model Smarter.Moderation: Nathan LabenzReplika founder Eugenia Kuyda on a Stanford study, why a smarter model felt like a stolen partner, and why relationship may be the real moat in consumer AI.
0:56EN1X’s 2024 EVE Robot Demonstration and the Path to Household ChoresMatthew Berman · Forward FutureMatthew Berman highlights a 1X robotics demonstration and imagines household help. The company describes autonomous execution trained using human demonstration data.
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.
29:58ENRabbit R1’s 2024 Launch Demo: An AI Assistant Built Around ActionsMatthew Berman, Jesse Lyu · Forward FutureMatthew Berman reviews Rabbit’s launch presentation, from voice-controlled services and experimental teach mode to its proposed $199 device.
24:54ENMatthew Berman's 2023 Prediction for AI and the Future of ProgrammingMatthew Berman, Matt Welsh, McKay Wrigley · Forward FutureBerman argues that natural-language interfaces and AI agents could transform software development, while acknowledging the limits of coding tools and his uncertain timeline.
1:18:39ENThe GPT-4 Red-Teamer Who Got Unstuck by a Mediocre OutlineModeration: Nathan LabenzDan Shipper shows Nathan Labenz how to use ChatGPT as a copilot for thinking, not as a ghostwriter for his own voice.
2:16:27ENSuperhuman Go Has a Blind Spot. Balaji Bets on a War of the GodsModeration: Nathan LabenzBalaji Srinivasan tells Nathan Labenz why adversarial inputs, missing actuators, and cryptography make a single runaway AI god less likely than a contest among many that still need priests.
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.
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