After Things Podcast

In this episode, Andrew Mayne, Justin Robert Young, and Brian Brushwood kick things off with a nod to the anniversary of GPT-4, reflecting on its impact and the rapid pace of AI development. The conversation takes a historical detour to the Ramree Island crocodile attack during World War II, with Andrew using AI to sift fact from fiction in this tale of survival and crocodile-infested mangroves. The trio then shifts focus to Colossal Biosciences’ efforts to bring back the woolly mammoth, starting with genetically modified mice sporting thicker coats. This step towards de-extinction sparks a debate on the feasibility and ethics of resurrecting ancient species, alongside a whimsical discussion on whether organic or robotic mammoths will roam the earth first. Picks: Justin Robert Young: Levin by Cali Cowboys Boys Brian Brushwood: The Master Algorithm by Pedro Domingos Andrew Mayne: Daredevil Netflix Series

The episode opens with Andrew describing a workflow automation he built in n8n to collect story ideas and email him a pre-show list, then moves into a discussion of a research team creating the world's smallest shooting video game with nanoscale technology. The hosts react to the demonstration, compare it to miniature hockey or "inner space," and Andrew reflects on how nanotech has proved much harder than early optimism suggested. From there, the conversation broadens into AI-assisted science, automation workflows, and the practical use of tools like make.com and n8n for email-driven systems. Later segments cover model quality and reasoning systems, reactions to Grok voice mode, a Starship launch bet, and the picks segment, which includes Reset, Severance, Mickey Mouse shorts by Paul Rudish, Friendly Neighborhood Spider-Man, and X-Men '97. The episode closes with a discussion of art, Blade Runner studies, and broader worries about AI reshaping human work and status competition. Key topics Nanoscale manipulati

The episode opens with the hosts discussing asteroid 2024 YR4, whose Earth impact odds have dropped, and quickly turns to the less certain but more interesting possibility of a lunar strike. They talk through the visible flash, dust, crater formation, and whether any ejecta could reach Earth, while Andrew reads from a Deep Research report estimating the object as a city-killer-sized asteroid and describing its effects on the Moon. The conversation then ranges across moon impacts, the role of the Moon as a possible protective factor for life on Earth, reactions to disaster origin debates, and the usefulness of ChatGPT Deep Research as a citation-backed research tool. Later segments cover Microsoft's Majorana/topological qubit claims, current humanoid robotics announcements, a discussion of the uncanny design of the OneX robot, and several recommendations, including a time-loop novel and Disney rides. Key topics Potential effects of a lunar asteroid impact: The hosts discuss what would happen if asteroid 2024 Y

The episode opens with a discussion of asteroid 2024 YR4 and its reported 2.2% chance of hitting Earth on December 22, 2032. The hosts discuss its estimated building-sized range, possible blast-wave, thermal, seismic, and tsunami effects, and compare the event to Tunguska and Chelyabinsk as examples of severe but non-civilization-ending damage. A long middle section focuses on AI tools and moderation, including Brian's frustration with being restricted or banned by ChatGPT/OpenAI for questions he considers ordinary, plus jokes about copyright, sound-alike music, and inconsistent enforcement. The hosts also praise newer AI features like reasoning mode and deep research, compare asteroid-prediction updates to weather forecasting, discuss James Webb infrared imagery, and later shift to pop culture and media picks including Fantastic Four, Severance, Mac Whisper, and The Expanded Mind. Key topics Asteroid 2024 YR4 and impact risk: The hosts discuss a newly discovered asteroid, 2024 YR4, with a 2.2% chance of hitt

The episode opens with a long discussion of DeepSeek, its V3 and R1 reasoning models, and why the release caused such a big reaction in AI circles and on Wall Street. Andrew says DeepSeek appears to have made real efficiency gains in training and hardware use, while Justin argues the market overreacted to the idea that less compute would be needed; both stress that the models do not mean chips or compute are suddenly unnecessary (L17-L17, L25-L25, L49-L49, L53-L57, L61-L65, L73-L77, L101-L105). The conversation then shifts to OpenAI's O3 and to a live, hands-on demo of generating simple games and 3D scenes with AI. Brian and Andrew iterate on a crude side-scrolling Mobius-strip game in CodePen, then experiment with A-Frame, a generated planetarium, and an explainer for radio telescopes, using the examples to argue that AI is becoming a practical tool for prototyping, brainstorming, and building educational or creative projects faster (L117-L117, L123-L145, L149-L181, L191-L209, L235-L241, L247-L253, L275-L289

The episode opens with a discussion of DeepSeek's V3 and R1 models, which the hosts describe as highly capable and unusually efficient. They frame the reaction as part of a broader open-source versus closed-source AI debate, while also noting uncertainty and controversy about whether some of DeepSeek's progress came from training on frontier model outputs or distillation. The hosts stress that the technical achievements are real, even if the competitive landscape and provenance are murky. A large portion of the episode is spent reacting to OpenAI's Operator, a browser-controlling agent that can log in, navigate websites, and work inside cloud-hosted browser sessions. The hosts demonstrate and discuss practical uses like Google Docs, Notion, CSV creation, image searching, and meme generation, while also emphasizing that the tool is still slow, brittle, and limited by logins, CAPTCHAs, and permissions. They broaden the conversation into the implications of agentic browsers for workflows, traffic metrics, moneti

The episode opens with a discussion of rapid recent AI releases and whether AI has "hit a wall." Andrew points to OpenAI's O3 and Google video models as evidence that capabilities are still advancing, while Justin uses the ARC Prize and AGI as the lens for asking how quickly systems are improving and whether a reasonable AGI label could arrive within the next year. Andrew's response emphasizes the "jagged frontier": models can be very strong on some tasks and weak on others, so benchmark gains do not translate cleanly into broad intelligence. A major middle section focuses on DeepSeek, which the hosts describe as a highly capable Chinese model that has excited open-source enthusiasts and alarmed frontier-lab skeptics. Andrew argues the model should be understood in context: export restrictions may have pushed efficiency work, but the model likely also benefited from distilled outputs from frontier models and other structured training data, so it is not a clean from-scratch achievement. The episode then turns

In this episode, Andrew Mayne, Justin Robert Young, and Brian Brushwood take listeners on a fascinating exploration of entertainment’s past, present, and future. They kick off with a nostalgic look at how theme parks like Universal Studios have evolved, highlighting the technological advancements in attractions such as the Born Stunt Spectacular. The conversation then shifts to the potential of AI in creating immersive experiences, with Andrew sharing insights into reasoning models and the concept of AI agents. They also touch upon the importance of classic sci-fi literature, like ‘A Canticle for Leibowitz’, in understanding the roots of many modern narratives. The episode wraps up with a discussion on the implications of AI in programming and the potential for AI to revolutionize how we interact with technology and each other. Picks: Justin Robert Young: DEF CON Plan about Audio and Electronics Brian Brushwood: A Canticle for Leibowitz Andrew Mayne: Nosferatu by Robert Eggers

The episode opens with a discussion of OpenAI's Shipmas announcements and a comparison with Google's recent AI releases. The hosts focus on OpenAI's o3 model, describing it as a real, usable research milestone and noting that it scored highly on the ARC Prize benchmark and coding evaluations, while also acknowledging that some announced features are not immediately available to everyone. The conversation then broadens into how current AI tools are being used in practice. The hosts talk about ChatGPT integrations with Notion, desktop and screen-sharing features, model switching when one tool is not suited to a task, and the brittleness of AI outputs when prompts or settings change. The latter half shifts to robotics and simulators, especially how physics simulation could accelerate robotics development and how cheaper, more capable robots could change labor and local production. The episode closes with several media picks. Key topics OpenAI Shipmas and Google's AI announcements: The hosts compare OpenAI's 12 d

The episode opens with the hosts talking about new live multimodal AI features in ChatGPT and Google Gemini, including Andrew's demo of showing ChatGPT a card trick over live video. They note that these features had been demonstrated earlier and are now shipping, but emphasize that backend compute, server connections, and GPU supply make rollout slower than some people expect. Most of the episode is spent on OpenAI's Sora and other video generators. The hosts discuss how to use Sora, including starting from a strong image or uploaded video, using storyboards, keeping generations short, trying lower resolutions first, using remix tools, and learning from the featured/recent feeds. They repeatedly stress current limitations in physical reasoning, object relationships, and variable binding, while also praising Sora for b-roll, companion footage, character coherence, and other creative uses. The episode closes with a short TV-picks segment covering Lower Decks, Strange New Worlds, Foundation, and Skeleton Crew. K

In this episode, Andrew Mayne, Justin Robert Young, and Brian Brushwood kick things off with a brief chat about the latest addition to Justin’s family and the implications of raising a child in today’s tech-saturated world. The conversation quickly shifts to Elon Musk’s recent showcase of Tesla’s advancements in robotics, including the Optimus robot and the Cyber Cab. The hosts speculate on the impact of these technologies on the future, from personal robotics to autonomous transportation networks. Additionally, they touch upon the phenomenon of sky quakes, debating their possible explanations and expressing skepticism about their origins. Throughout, the trio maintains a slightly irreverent tone, mixing in personal anecdotes and broader societal observations. Picks: Brian Brushwood: Alchemy: The Dark Art and Curious Science of Creating Magic in Brands, Business, and Life by Rory Sutherland Justin Robert Young: The Peripheral (TV Show) Andrew Mayne: The 13th Warrior (Movie)

The episode opens with a long discussion of SpaceX successfully catching the Starship booster with Mechazilla. The hosts focus on the scale of the tower and booster, the surprise and delight of the SpaceX team, and what the feat implies for fully reusable rockets. They also broaden the conversation into Elon Musk's impact, conviction and persistence in engineering, and how institutions and experts can be wrong about what is possible. [L21-L29, L33-L41, L47-L57] The middle of the episode turns to robotics and AI. The hosts discuss Tesla's Optimus robots at the We, Robot event, including the gap between what was demonstrated and what was actually autonomous. They then spend a long stretch on an Apple paper about reasoning benchmarks, arguing that a small prompt change can dramatically improve performance and that the paper overstates the case against AI reasoning. The back half becomes a hands-on demo of local AI and Ollama, plus creative prompting tests, before ending with picks for Ollama, The Apprentice, Tri

The episode opens with Andrew detailing OpenAI's Dev Day announcements, especially the real-time API for continuous text or audio conversations and demos aimed at customer support and phone ordering. The hosts then debate AI as a replacement or augmentation for customer service, with Brian and Justin emphasizing how frustrating human support can be and how useful a capable AI agent might be if it can actually solve problems. Andrew walks through several additional OpenAI features, including prompt caching, easier fine-tuning, memory controls in ChatGPT, and the new Canvas document-editing mode. The conversation also covers a study comparing doctors and GPT-4 on diagnostic tasks, Meta's new video model and the Movie Gen demos, and then shifts into picks where Justin praises Agatha All Along, Brian promotes Achewillow, and Andrew recommends Only Murders in the Building. Key topics Real-time conversational APIs for voice and text: Andrew explains OpenAI's real-time API for nonstop voice or text conversation and

In this episode, Andrew Mayne, Justin Robert Young, and Brian Brushwood kick things off with a chat about the weather before diving into the world of augmented reality and virtual reality. They discuss the limitations of Apple’s Vision Pro and the potential of Facebook’s Project Orion, comparing the two and expressing their hopes for the future of AR. The conversation then shifts to acoustic holograms, showcasing how sound can be used to manipulate objects in space, creating what could be the future of holographic displays. The trio also touches on the advancements in AI, demonstrating how smaller, faster models can generate content and perform tasks with impressive speed and accuracy. Throughout the episode, the hosts maintain a slightly irreverent tone, mixing in their personal experiences and opinions on the tech industry. Picks: Brian Brushwood: I’m Beginning to Get Worried About This Black Box of Doom by Jason Pargin Justin Robert Young: Mr. McMahon on Netflix Andrew Mayne: Alien Rom

The episode opens with the hosts joking about wanting burritos immediately and turns into a discussion of faster delivery systems. Andrew introduces Zipline's drone-delivery model, describing how it keeps the aircraft high above the ground and lowers cargo by line to avoid noise and landing-safety problems. That leads naturally into a broader conversation about autonomous transport, including Waymo's route-based ride service and Zoox's purpose-built vehicle design, along with speculation about future mobile rooms, containers, and other vehicle-as-space ideas. The middle of the episode moves through AI and brain-interface ideas. The hosts discuss an AI-only social network, using ChatGPT as a vocabulary and etymology aid, and then a playful cave-packing exercise that leads into a real cave story about Cheetos left in Carlsbad Cavern and the microbial ecosystem it supported. From there they broaden into Mars ethics, robotic exploration, AI tool-building and sunk-cost thinking, before ending with a long entertain

The episode opens with a long discussion of OpenAI's Strawberry / O1-style reasoning models. Andrew Mayne explains that these models seem to work better when asked to break problems into steps, use tools, and reason through tasks in a more structured way than ordinary one-shot chat models. The hosts compare this to prompt engineering, discuss examples like decimal comparisons and counting the R's in "strawberry," and talk about how longer structured prompts, patience, and using the right model for the right task can improve results. Later, the conversation broadens into AI evaluations, benchmark gaming, model stacking, tool use, and concerns about AI persuasion. Andrew argues that leaderboard results can be misleading and that models often look strong in short tests but deteriorate with longer contexts, while Justin notes that eval methods themselves are still immature. They also discuss a Science paper about GPT-4 Turbo persuading people away from conspiracy beliefs, which Andrew frames as manipulative and a

Andrew Mayne, Brian Brushwood, and Justin Robert Young (eventually) take us on a journey from the depths of space to the mysteries of our ancient past. They kick off with space news, discussing the return path for astronauts via SpaceX, not Boeing’s Starliner, and delve into the grounding of SpaceX launches due to a mishap. The conversation then shifts to a natural phenomenon where butterflies harness static electricity, and ancient shark attack victims, suggesting our long history with these marine predators. The aquatic ape theory is skeptically revisited, pondering human evolution’s ties to water. The episode wraps up with a dive into the MCU, specifically the Secret Invasion series, contrasting its comic book origins with its MCU portrayal, and reflecting on the MCU’s evolution and future. Picks: Brian Brushwood: Secret Invasion (comic book) Andrew Mayne: Foundation (novel series by Isaac Asimov) Justin Robert Young: Being a new dad

The episode opens with Justin and Brian discussing a New York Times story about a SpaceX Starlink launch that experienced an upper-stage problem. They note that the first stage landed normally on a drone ship, but the second stage did not reach the intended altitude to deploy the satellites properly, and they mention SpaceX describing the event as a very rare glitch and a rapid unscheduled disassembly. The middle of the episode becomes a long speculative conversation about frontier life, space colonization, and genetic modification. They use William Shatner’s reaction to seeing Earth from space, Andrew Heaton’s Oklahoma land-rush family story, and examples like golden rice to argue that people would be slow to accept genetic editing unless harsh reality forced the issue over multiple generations. The latter half turns to AI music, with Justin describing a real-life anecdote involving Robert Rodriguez and Udio, then both hosts discussing AI music tools, their quality, and the lawsuits against Suno and Udio. Th

In this episode of Weird Things, Andrew Mayne, Justin Robert Young, and Brian Brushwood embark on a journey through the evolving landscape of aviation technology. They discuss the myriad of companies attempting to develop next-generation aerial vehicles, including those adding excessive propellers to electric helicopters in hopes of making flying cars a reality. The trio delves into alternative aviation technologies, such as gyrocopters and other innovative designs that aim to improve safety and efficiency in air travel. Despite some companies’ unfortunate mishaps, including founders dying during testing, the hosts remain optimistic about the future of aviation, predicting the use of human-rated flying vehicles in cities by the end of the decade. Picks: Andrew Mayne: The Prestige Justin Robert Young: X-Men ’97 Brian Brushwood: Sh?gun

Andrew Mayne and Justin Robert Young dissect Apple’s approach to integrating AI into its ecosystem with a strong emphasis on privacy. They speculate on the implications of Apple’s strategy to handle AI processing on-device as much as possible, while also offering cloud processing with user permission. The trio discusses the technical hurdles, Apple’s historical stance on privacy, and how these factors influence the development of Siri and other Apple services. They ponder the future of AI in Apple products, including the potential for Siri to become smarter and more useful, and the integration of third-party AI models.