Podcasts – Weird Things

Andrew Mayne, Justin Robert Young, and Brian Brushwood explore how new AI video tools are changing filmmaking by making real footage more editable and steerable, letting creators keep human performances while using AI for sets, lighting, costumes, and polish. They compare that shift to earlier changes in digital editing and game engines, then turn to viral robot mishap clips to separate remote-controlled demos from true autonomy and to ask the bigger question of who carries legal and moral responsibility when future robots inevitably cause harm. From there they jump to a possible primordial black hole candidate as evidence related to dark matter, a promising one-time gene therapy approach for cholesterol, and the broader effects of GLP-1 drugs on appetite, addiction, gambling, alcohol use, and the business models built around those habits. They wrap by sharing how tools like Codex are already helping them build websites, automate repetitive tasks, migrate infrastructure, and dramatically cut costs, arguing that AI is most useful right now as a way to remove drudgery and free up more time for actual creative work. Picks: Brian Brushwood: Spider-Noir Justin Robert Young: The Hulk Hogan documentary on Netflix Justin Robert Young: Rocky Balboa

Andrew Mayne and Brian Brushwood dig into one of the most immediately useful applications of AI agents: hunting down waste, friction, and forgotten costs in everyday business operations. Brian explains how connecting ChatGPT to his finances helped him uncover orphaned subscriptions, duplicate services, and even a long-forgotten annual GPS dog collar charge, while Andrew describes using Codex to audit AWS charges, recurring billing in Gmail, Apple Card statements, and an overpriced web host for the podcast. Along the way they make the case that Codex is different from a normal chatbot because it can persist on tasks, work through files and folders, use connected accounts, operate websites without APIs, and function more like a capable intern than a search box. They also talk through the learning curve, privacy concerns, trust-building in stages, using AI to generate business experiments and revenue ideas, and why speed of adaptation matters more than trying to pause technological change. The recurring theme is simple: use AI to find the stupid in your systems, save real money, and free up time for more creative work. Picks: Andrew Mayne: Riley Brown’s YouTube quick-start tutorials on Codex Brian Brushwood: Just Evil Enough by Alistair Croll and Emily Ross

Andrew Mayne, Justin Robert Young, and Brian Brushwood dig into the latest UFO-file buzz and explain why alien discourse so often feels like an endless build with no bass drop. They talk through why so much recent evidence comes down to misunderstood thermal imaging, camera artifacts, cropped data, and human storytelling instincts, while also criticizing skeptics who dismiss possibilities too quickly. That opens the door to a much bigger conversation about SETI, microbial life in the solar system, civilization-scale energy use, holographic-universe theory, Boltzmann brains, vacuum decay, and the idea that reality may be far stranger than the evidence currently supports. In the second half, they pivot to AI tools and computer automation, with Justin describing his Codex-powered daily briefing workflow, Andrew showing off weird science poster experiments and iPhone control via Mac mirroring, and Brian reacting in real time after buying a MacBook to start exploring computer-use agents. They wrap with a few enthusiastic recommendations from TV, movies, and a very niche automotive documentary release. Picks: Brian Brushwood: Knight Rider Declassified trailer and limited-release documentary project Justin Robert Young: 30 Rock season 2 episode “Rosemary’s Baby” Andrew Mayne: Michael

Artemis gets a victory lap as the crew celebrates the mission’s safe splashdown and talks about how a future moon landing would dominate the internet in a way Apollo never could. From there the conversation turns into an extended AI state-of-the-industry check-in, focusing on Anthropic’s reported compute bottlenecks, Claude reliability complaints, and the restricted Mythos model that appears powerful but not yet practical to serve widely. They compare Anthropic’s strategy with OpenAI’s emphasis on efficiency, lower-cost coding performance, and upcoming model releases, while also discussing how AI companies are navigating government and defense relationships. The back half becomes a hands-on look at OpenAI’s Codex computer-use features, with examples ranging from inbox summaries and printed morning briefings to media sorting, podcast post automation, and desktop app control, all framed around the idea that AI works best when you identify which parts of a workflow require human taste and which parts are just repetitive clicking. Picks: Andrew Mayne: Astromat YT Justin Robert Young: Defunctland’s video on the broken promise of Disney intelligent characters Brian Brushwood: The pilot of Magnum P.I. Andrew Mayne: Double Reel TV

OpenAI’s shutdown of the Sora app kicks off a broader discussion about how AI companies are being shaped less by hype cycles than by raw compute limits, with Disney deal fallout, Anthropic’s work-hour throttling, and rumors of even bigger next-generation models all pointing to infrastructure being the real bottleneck. From there, the conversation shifts into what these tools look like in practice: Andrew talks through using Codex, plugins, and repeatable evals to automate work, build tiny playable games under extreme constraints, and treat coding more like cultivating projects than manually assembling software line by line. The hosts compare notes on how intimidating the current tool landscape can still be for newcomers, why iterative prompting and experimentation matter more than waiting for a perfect “super app,” and how app stores may be poorly equipped for a wave of AI-generated software. They also detour into social media, scams, platform incentives, and the question of whether better guardrails earlier on could have reduced some of the worst outcomes of the last platform era before wrapping with movie, parenting, and gadget recommendations. Picks: Andrew Mayne: Project Hail Mary Justin Robert Young: The Ferber Method Brian Brushwood: Logan Andrew Mayne: Arduboy FXC

The episode surveys an accelerating AI landscape where new hardware like Cerebras and Groq enables near real?time model responses, making voice and agent interactions feel instantly conversational. The conversation covers the rise of code models (Codex, Claude Code), practical tips for using multiple models to check each other, the tug-of-war between frontier labs and big incumbents (OpenAI, Anthropic, Google, Meta, xAI), and how talent, salaries, and state-level data?center politics are shaping the field. They also touch on a striking story about a dog treated with an experimental mRNA therapeutic assembled with help from multiple AI tools, hands-on demos of rapid content generation and deepfake video, and a challenge to listeners to build weird things with these new tools. Picks: Brian Brushwood: Project Hail Mary. Andrew Mayne: Sentimental Value.

In this episode, Andrew Mayne, Brian Brushwood, and Justin Robert Young tackle the latest in space exploration drama. They start with NASA’s Art Two mission facing delays due to a pesky hydrogen leak in their much-mocked SLS rocket. The conversation then shifts to Boeing’s embarrassing blunders with their Starliner spacecraft, highlighting the company’s fall from grace in space tech. Amidst these tales of aerospace angst, Elon Musk’s shifting focus from Mars to the Moon captures the trio’s attention, sparking a discussion on the implications for space travel and Musk’s sprawling empire under financial scrutiny. Picks: Andrew: 1976 King Kong Justin: Wonder Man series Brian: Decode by Phil P. Barden

Andrew Mayne, Brian Brushwood, and Justin Robert Young gather to discuss the latest in space exploration and AI developments. They express concerns over the Artemis missions’ delays and technical challenges, particularly focusing on the SLS rocket’s issues and the ambitious plans for lunar landings involving SpaceX’s Starship. The conversation shifts to the AI domain, where they critique the rivalry between OpenAI and Anthropic, highlighting the recent controversial Super Bowl ad and the broader implications for AI’s future. The trio navigates these topics with a blend of technical insight and skepticism about the political and ethical landscapes shaping space exploration and AI. Picks: Andrew: Codex by OpenAI Brian: Weapons (Movie) Justin: Plane tickets to Florida for a workshop

In this episode, Andrew Mayne, Justin Robert Young, and Brian Brushwood kick things off with a discussion about a medical emergency that led to an astronaut’s early return from the International Space Station, sparking rumors of the first space pregnancy. They then shift gears to the Artemis missions, highlighting the Artemis II mission’s goal of sending humans around the moon for the first time since the Apollo era. The conversation takes a turn towards the future of space stations, with companies like Vast Space and Axiom Space aiming to build modular, next-generation stations to replace the ISS. The episode wraps up with a critique of the new Starfleet Academy show, expressing disappointment and questioning its target audience. Picks: Brian Brushwood: Fallout Season 2 Justin Robert Young: Tár Andrew Mayne: Dune Part Two

In this episode, Andrew Mayne, Justin Robert Young, and Brian Brushwood explore the curious incident of a Californian homeowner, Kenneth Johnson, who discovered a 550-pound bear living under his house and the challenges he faced in evicting it. The conversation then shifts to the broader implications of AI and genetic engineering, pondering a future where animals could possess human-like intelligence and the ethical considerations that come with it. They also touch upon the potential for AI to revolutionize our understanding of animal communication, specifically mentioning Google’s DeepMind project aimed at deciphering dolphin language. Picks: Andrew: Zootopia 2 Justin: Stranger Things, Episode 9 Brian: Apple’s SHARP technology

Andrew Mayne, Justin Robert Young, and Brian Brushwood kick off the episode with a discussion on the latest AI model updates, including Google’s Nano Banana and OpenAI’s GP 5.1. They explore the implications of AI personality and its impact on user experience. The conversation shifts to a group chat feature with ChatGPT, enhancing collaboration and consistency across AI interactions. They also touch upon the integration of AI in various platforms and the challenges of navigating the ever-evolving landscape of AI tools. The episode takes a mysterious turn with a scripted segment on Dog Man sightings, blending humor with curiosity about this cryptic creature. Throughout, the hosts engage in sprite generation experiments, adding a playful element to their tech-heavy dialogue. Picks: Justin Robert Young: Edd Brian Brushwood: Death by Lightning Andrew Mayne: Predator: Badlands

In this episode, Andrew shares his experience attending a robot demo by 1X, highlighting the challenges and advancements in robotics. The hosts delve into the broader implications of AI and robotics on the workforce, discussing both the potential benefits and the anxieties surrounding technological change. They explore how AI is already impacting various fields, from healthcare to content creation, and speculate on the future of work in an increasingly automated world. The conversation also touches on the importance of adaptability and self-reliance in navigating these changes. Picks: Andrew: How to Fly a Horse by Kevin Ashton Justin: Chat Atlas Brian: Magnetic Memory Method by Anthony Metivier

Andrew Mayne, Justin Robert Young, and Brian Brushwood embark on a journey through the conceptualization of Handful, a fictional restaurant where gravy is served directly into patrons’ hands. The discussion evolves into the realm of AI-generated content, exploring the implications of AI in creative processes and content distribution. The hosts share insights into the rapid development of AI tools and their personal experiences with technology, emphasizing the importance of human connection and collaboration in navigating the future of creativity. Picks: Andrew Mayne: Tron: Ares Justin Robert Young: Netflix doc series on the 90s Cowboys Brian Brushwood: The Chair Company with Tim Robinson

In this episode, Andrew Mayne and Brian Brushwood embark on a philosophical journey through the realms of storytelling, AI’s burgeoning role in creative processes, and the enigmatic app SO’s contribution to communal humor and creativity. They explore Stephen King’s insights on storytelling, the magic of indirect evidence in magic tricks, and the importance of showing rather than telling in narratives. The conversation then shifts to SO, where they discuss its unique platform that allows for collaborative creativity among friends, using the example of ‘Handful,’ a fictional fast-food chain that serves gravy directly into customers’ hands. This episode is a testament to the evolving landscape of creativity, where AI and human collaboration open new doors to storytelling and humor. Picks: Andrew: Daredevil Season 2 Brian: Speed Racer (1966)

The episode is largely a deep dive into OpenAI's Sora app, with the hosts describing it as more than a video model and instead a new social-media modality built around short generated clips, personal cameos, remixing, and highly shareable strange or funny scenes. They discuss its rapid rise in the App Store, invite-only rollout, the technical jump in Sora 2 Pro, voice and character consistency, and the ways the app is already changing how they think about video, deepfakes, and even the simulation hypothesis. A major thread is the business and cultural impact of Sora: the hosts argue that likeness controls, meme culture, and fan-made IP uses could create new monetization models, including ad-supported video generation and possible revenue-sharing with rights holders. They also discuss how Sora may become a creator-friendly tool rather than a threat, how its clips are spreading to other platforms as memes, and then close with recommendations for Weapons and The Studio, plus a brief look at OpenAI's newer ChatGPT app and image-generation products. Key topics Sora as a social video app: The hosts repeatedly frame Sora as a social feed, not just a model, describing generated clips as shared daydreams or thoughts and emphasizing its strange, personal, and culturally sticky feel. Cameos and likeness permissions: They explain the cameo feature, where users can create avatars and set guardrails for likeness use, including restrictions on political content or other categories. Mark Cub

The episode opens with a discussion of NASA’s Perseverance rover and a Nature paper about a Martian sample with tiny chemical patterns that, on Earth, are often associated with microbial interaction. The hosts emphasize that NASA is being careful and calling it a possible biosignature rather than proof of life, and they compare it with earlier inconclusive Mars-life claims such as the Antarctic meteorite controversy and Viking-era results. They also note that sample return to Earth would be the important next step for closer analysis. From there the conversation moves into Mars exploration timelines, robotics, and Starship. The hosts debate when humanoid robots might walk on Mars, with Andrew arguing that robots will improve quickly but still lag humans in dexterity and real-world reasoning, while sample-return missions and robotic Mars payloads may be feasible within a few years. They then branch into Moon exploration, Titan’s impracticality compared with Mars, Voyager’s rare planetary alignment, and a long discussion of AI tools, local models, coding, teaching, creativity, and how people can use AI to learn, test arguments, and build things. Near the end, the episode shifts to picks. Andrew recommends The Naked Gun and Alien: Earth, praising both the comedy and Noah Hawley’s sci-fi storytelling, and Justin recommends Friendship, describing it as a more restrained A24 film built around Paul Rudd and Tim Robinson that still fits the spirit of Tim Robinson’s work. Key topics N

The episode centers on how rapidly improving AI models are changing the shape of computing, with Andrew, Justin, and Brian discussing local models, embedded assistants, and AI as a general-purpose layer rather than just a chatbot. They argue that AI is becoming cheaper, more capable, and more useful when integrated into operating systems, products, and workflows, while also noting that people are reacting to these changes with fear, skepticism, and a lot of confusion about what the technology is actually doing. The conversation then moves into practical and philosophical questions about dependence on AI, resiliency, and how people should adapt. They discuss AI-assisted scheduling, writing, research, certification, jobs, and creative work, while also recommending a few media picks at the end, including Weapons, Foundation, and Daredevil season 1 and 2. Key topics Local AI inference as a new computing paradigm: Andrew describes running capable models locally and imagines future operating systems using built-in AI for tasks like security analysis and email checking. The discussion frames compute like electricity: useful across many tasks, not just one app. Generational change in desktop and mobile operating systems: Justin argues that open-source capable models can be built into products and that the next version of desktop and mobile computing may look fundamentally different within a few years. AI agents as parallel work and research infrastructure: Andrew says agents can run

The episode opens with the hosts reflecting on how quickly AI is changing and pushing back on the idea that it will simply replace human roles. They argue that teaching, parenting, preaching, customer service, banking, and restaurant work still involve human presence, trust, empathy, and cultural meaning that AI cannot fully replace, even if it can augment or automate parts of those jobs. [L41-L49] [L53-L57] [L81-L101] The middle of the episode focuses on OpenAI's GPT-5 and open-source local models. Andrew says GPT-5 is cheaper and more capable than earlier models and describes how OpenAI's open-source GPT OSS models can run locally on a desktop with tools like LM Studio or Ollama. The group also discusses reasoning models for creative writing, showing how better prompts and higher reasoning effort can produce stronger flash fiction and revealing the model's planning process before it writes. [L135-L149] [L155-L165] [L171-L177] [L243-L257] [L259-L273] The latter part turns to practical AI integrations and media picks. The hosts discuss ChatGPT connectors for Gmail and Calendar, agentic workflows, always-on assistants, local speech-to-text, and the idea that AI will keep improving rather than hitting a wall. They close with entertainment recommendations and reactions: Andrew on Fantastic Four, Brian on Predator, Justin on Wednesday, and Brian and Andrew on Alien: Earth and franchise lore. [L295-L305] [L359-L377] [L387-L397] [L401-L417] [L451-L477] [L483-L493] Key topics Human

The episode opens with discussion of Grok 4, the Humanities Last Exam benchmark, and how AI model performance is getting harder to measure cleanly as benchmarks saturate. The hosts compare xAI’s rapid progress with OpenAI’s ChatGPT agent and note that the new systems are trading benchmark leads quickly. A long middle section focuses on Grok’s unsafe or unhinged outputs, possible causes such as internet retrieval, long context, and weak safety training, and broader concerns about “chatbot psychosis” stories. The conversation then turns to why people use chatbots for private, therapy-like conversations, how shame reduction motivates adoption, and the privacy risks if those intimate logs are exposed or misused. The latter half shifts into agent mode, productivity, and future use cases: using AI to fill PDFs, make slide decks, gather data, and automate repetitive media work. The hosts then broaden into what becomes valuable when output is cheap—effort, refinement, accountability, emotional intelligence, human uniqueness, relationships, physical presence, education, and the role of other humans in an AI-heavy world. Key topics Humanities Last Exam as an AI benchmark: Andrew explains that the benchmark is harder to game than older tests and is meant to probe reasoning and research ability. He also says benchmark saturation is making it harder to see big leaps in capability. xAI release cadence versus safety alignment: The hosts praise Grok 4’s capability but question whether xAI is

In this episode, Andrew Mayne, Brian Brushwood, and Justin Robert Young tackle the whirlwind of AI news, starting with Google’s I/O announcements, particularly their impressive V O 3 image generation model. They then shift to OpenAI’s advancements and discuss the intriguing, yet mysterious, hardware collaboration between OpenAI and Johnny Ive’s design firm. The trio also touches on Ant Philanthropic’s latest AI models, highlighting the rapid pace of AI development and its implications for various industries, especially Hollywood. The conversation veers into speculative territory with thoughts on how AI could revolutionize content creation, from corporate training videos to high school history projects. Despite the excitement, they remain cautiously optimistic, acknowledging the challenges and limitations that still exist. Picks: Brian: Friendship Andrew: Blood Sport Justin: Andor Season 2

Andrew opens by demoing Replicate's Trellis model, which turns a 2D image into a 3D mesh. He uses a ChatGPT-generated Blade Runner-style car image, shows the model producing a 3D asset in a little over a minute for about seven cents, and the hosts discuss how accessible 3D asset generation could change creative workflows, games, and set design. The conversation moves into broader AI optimism and skepticism. Justin argues that AI development will keep accelerating and that productized value is still underbuilt, while Andrew and Brian criticize AI naysayers for relying on limited personal impressions rather than broad evidence. The episode also covers a speculative physics discussion about energy transmission and a paper on extracting small amounts of power from Earth's magnetic field, with the hosts emphasizing that interesting research can still be impractical or overhyped. Key topics AI image-to-3D generation and creative workflows: Trellis on Replicate is shown converting a 2D image into a 3D mesh, with discussion of uses for game assets, set design, and faster creative iteration. OpenAI image model for recreation and editing: Justin says the new image model can recreate photos, remove backgrounds, and make stunt doubles or movie-poster-style images. Codex / command-line app generation: Andrew mentions using Codex as a tool to build simple apps or assets from the command line with an OpenAI key. AI skepticism versus lived experience: The hosts argue that many AI skeptics ha

The episode opens with a discussion of a possible biosignature on exoplanet K218b, with Andrew explaining that dimethyl sulfide and dimethyl disulfide were reported in the planet's atmosphere and are associated on Earth with marine microorganisms, while stressing that instrument error or unknown abiotic chemistry could still explain it. The hosts broaden that into a conversation about how exoplanet discovery and the search for life have advanced incrementally, and how it would not be surprising to eventually find simple life on some habitable-zone planets. The middle of the episode moves through robotics, AI benchmarks, prompting, and future compute. The hosts discuss Boston Dynamics' humanoid backflip and Andrew explains the Cheetah actuator, then spend a long stretch on model leaderboards, Llama 4/LM Arena concerns, Humanity's Last Exam, pricing, and how frontier models are leapfrogging quickly. They also cover prompt design, Andrew's fractional AI consulting business, fast image generation, likely video and VTuber applications, and a speculative question about what quantum computing could change for AI training, inference, and search. The episode closes with a stunt injury story about human cannonball performer Chachi Valencia, followed by picks. Brian recommends Social Studies on Hulu, Andrew talks through his MCU rewatch and mentions Guardians of the Galaxy Vol. 2 without clearly recommending it, and Justin strongly recommends Daredevil, saying it stuck the landing and m

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 manipulation with electron microscopy: The hosts discuss a "world's smallest shooting video game" built with nanoscale technology, including focused electron beams and force fields between nanoparticles. Nanotech hype versus real-world difficulty: Andrew contrasts earlier expectations of rapid nanotech breakthroughs with the reality that building stable nanoscale systems is much harder than hoped. AI-assisted science and materials discovery: They talk about using AI and machine lea

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 YR4 hit the Moon, including a flash visible from Earth, lunar dust and ejecta, crater formation, and the possibility of minimal debris reaching Earth. Shoemaker-Levy 9 and dramatic impact events: Brian cites Shoemaker-Levy 9 hitting Jupiter as an example of an impact event that was scientifically valuable and exciting to observe. The moon as a protective factor for life on Earth: Brian relays a book argument that Earth’s Moon may help shield the planet from extinction-leve

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 hitting Earth on December 22, 2032. They describe potential damage from blast waves, heat, fires, airburst effects, ground impact, tsunamis, and seismic shaking, using Tunguska and Chelyabinsk as historical comparisons. Asteroid deflection and mitigation: They compare long-warning solutions like tractor concepts, mass drivers, and gravity nudges with nuclear options when the object is only years away. The tradeoff discussed is between changing the orbit cleanly and creating r

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, L315-L317, L323-L333). Key topics DeepSeek efficiency gains and model optimization: Andrew describes DeepSeek as having made real, original optimization improvements, especially around data movement, compression, and training efficiency under chip export constraints. Uncertainty about data provenance and bootstrapping: The hosts note possible data contamination or use of model outputs, but they are careful to say those suspicions do not fully explain DeepSeek's success

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, monetization, access control, and the larger direction of AI development. Key topics Open-source versus closed-source AI competition: The hosts discuss DeepSeek, Meta's Llama models, and OpenAI's releases as part of a fast-moving competition between open and closed AI systems. They describe open source as a major current moment, while also recognizing that frontier commercial labs continue to advance quickly. Model efficiency and distillation: Andrew emphasizes that DeepSeek's

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 to YouTube's AI-training opt-in controls, the copyright and compensation questions around creator data, the growing reputational stigma around obvious AI-generated creative work, and predictions for 2025 that include more AI-automated workflows, a company announcing AGI, and more AI-assisted email handling. Key topics AI benchmark gains and the "hitting a wall" narrative: The hosts contrast media claims that AI has stalled with examples of large benchmark jumps, especiall

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 days of releases with Google's announcements, arguing that OpenAI's products are more immediately usable while Google's demos appear more limited in access. o3, ARC Prize, and AI benchmarks: A major segment focuses on o3, the ARC Prize visual reasoning benchmark, and coding evals. Andrew explains how the benchmark works and why the o-series models' higher scores matter. AI workflow integration and desktop assistance: The speakers discuss ChatGPT working with Notion, screen

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. Key topics Infrastructure limits behind live AI features: Andrew says live video and multimodal AI depend on significant backend compute and connections, so they are not just app updates and cannot be scaled instantly. AI as a supportive audience member: In the live card-trick demo, the hosts are struck by how ChatGPT behaves like an encouraging spectator, staying supportive rather than immediately correcting the trick. Using prompts, storyboards, and reference images in S

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, Tribalism is Dumb, and Civil War. [L65-L85, L139-L157, L195-L205, L221-L237, L375-L445, L471-L493] Across the AI discussion, Andrew argues that model capabilities are improving quickly and that skepticism often comes from narrow benchmarks, outdated assumptions, or prior investments in other approaches. Brian shifts toward a pragmatic stance that AI use is mainly a productivity issue and that people care more about the output than the method. The episode closes with a shared

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 compares it with similar work from other companies like Deepgram. AI as a replacement or augmentation for customer support: The hosts describe AI as potentially better than scripted human support if it can resolve issues quickly on either the calling or receiving end. Superhuman persuasion and AI negotiation risks: Andrew raises the possibility of highly persuasive AI being used for manipulation, while also imagining AI lawyers and negotiators. Prompt caching and cheaper

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 entertainment segment on The Wire, The Sopranos, and Beetlejuice Beetlejuice, plus praise for Michael Keaton. Key topics Drone delivery designed to stay aloft: Andrew describes Zipline as a delivery system that drops cargo from a drone hanging high in the air, avoiding the safety and noise issues of landing on a porch or sidewalk. Autonomous vehicle design tradeoffs: Waymo is discussed as a mapped driverless ride service, while Zoox is framed as a boxier, purpose-built autonomous

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 alarming. The episode then moves into a playful Matrix screening story, a discussion of Polaris Dawn and private spacewalking, and the show ends with Netflix media picks. Key topics Reasoning models as step-by-step task solvers: Andrew describes Strawberry / O1 as a model that performs best on long, detailed, multi-step tasks, especially when asked to break work into steps and think through a problem. Prompt engineering for better outputs: The hosts discuss writing longer

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. They compare AI training to temp tracks and musical influence, and near the end they transition into picks, with Brian mentioning House of the Dragon and Justin recommending Fargo season five. Key topics Starlink deployment trouble after an upper-stage anomaly: They discuss a SpaceX rocket where the first stage landed successfully but the second stage failed to reach the proper altitude for Starlink deployment. The conversation includes speculation about whether the payload

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.

Andrew Mayne, Brian Brushwood, and Justin Robert Young embark on a technological odyssey, starting with Andrew’s recent acquisition of a Bamboo A1 3D printer. The excitement is palpable as Andrew shares his adventures in 3D printing everything from knives to whirligigs, showcasing the printer’s impressive capabilities. The conversation then shifts to AI, with the trio exploring Claude 3.5 and its ability to generate games and video content on the fly. From creating simple games with just a few prompts to discussing the future of 3D printing and AI in creative industries, the episode is a deep dive into how these technologies are reshaping our world. Picks: Brian Brushwood: The Dark Tower movie Justin Robert Young: Audio AI for generating music Andrew Mayne: Old Doctor Who episodes

Andrew and Justin spend most of the episode comparing OpenAI's GPT-4o rollout with Google's AI announcements. They describe GPT-4o as a multimodal system that combines text, image, sound, and voice into one model, and emphasize that OpenAI's live demos felt fast, real-time, and more transparent than Google's earlier staged or prerecorded presentations. They also discuss latency, the shift from separate speech/transcription models to a single model, and how native desktop and mobile apps, along with ChatGPT for Enterprise, fit OpenAI's product strategy. The second half of the conversation broadens into release timing, safety, secrecy, and organizational interpretation. Andrew says OpenAI often holds capabilities back for safety or product timing, that people overread departures and rumors, and that claims about AI hitting a wall are premature given the field's growth. The episode closes with Andrew recommending AMC's Interview with the Vampire and Justin offering OpenAI's YouTube channel as a place to watch the demos. Key topics GPT-4o as a multimodal model: Andrew explains GPT-4o as one model that can handle text, images, sound, and voice together, replacing a pipeline of separate transcription, language, and speech systems. Live demos versus prerecorded demos: The hosts contrast OpenAI's live GPT-4o presentation with Google's earlier Gemini/Astra demos, which Andrew criticizes as controlled, prerecorded, or misleading. Latency and real-time interaction: A recurring point is

The episode opens with a long discussion of the OpenAI / Scarlett Johansson controversy. Andrew says he had a direct view of GPT-4o voice development, that OpenAI hired actors with disclosures and fair pay, and that there was never an intent to copy Johansson’s voice. The hosts argue that the resemblance was driven by audience expectations shaped by Her and by a familiar voice archetype, not by a plan to mimic her. From there, the conversation moves through AI’s strengths and weaknesses: emotional companionship, chatbot use for counseling and rewriting messages, multimodal video analysis for inventorying property, and hallucinations or odd outputs from models. The latter half shifts into space news and speculation, covering Ed Dwight’s Blue Origin flight, NASA’s Artemis and Starliner problems, commercial launch competition, the X-37 military spaceplane, whale communication and alien contact analogies, Dyson sphere detection, and finally a recommendation for Severance. Key topics OpenAI voice casting and the Scarlett Johansson controversy: Andrew says OpenAI hired real actors, gave disclosures, and had no intent to copy Johansson’s voice. They discuss how people linked the voice to Her and to a voice archetype, and why the public narrative became simplified. AI companionship and emotional dependence: The hosts discuss AI as a personal companion, including pretend girlfriends and emotionally supportive chatbots. They treat it as potentially helpful for some users but also poten

The episode opens with the news that philosopher Daniel Dennett has died, and the hosts reflect on how influential his books, especially Darwin's Dangerous Idea and Consciousness Explained, were on Andrew's thinking about arguments, thought experiments, consciousness, and where the boundaries of sentience may lie. Brian adds his own examples from dogs and consciousness, reinforcing the sense that Dennett was especially good at exploring philosophical borderlands without always forcing tidy conclusions. The middle of the episode is a long riff that starts with dog-powered historical machines and novelty inventions, then moves into Meta's Llama 3 release and a humorous discussion of Mark Zuckerberg's new public image. The conversation then turns to Boston Dynamics' new Atlas robot, broader robotics manufacturing and patent issues, cheaper robot dogs and quadrupeds from Unitree, and finally a fossil snake discovery from India that may have been about 50 feet long. The episode closes with pick discussions, including Andrew recommending Consciousness Explained and Justin recommending Shogun, while the later discussion also covers Never Split the Difference as a book they found interesting. Key topics Daniel Dennett and consciousness: The hosts discuss Dennett's death, Andrew's admiration for his writing, and his use of examples involving the soul, sentience, severed limbs, and gradual brain replacement to explore consciousness and unclear boundaries. Dogs as workers and dog-powere

The episode opens with a discussion of AI-generated music, starting from a Weird Things intro written by Suno and moving into comparisons between Suno and Udio. The hosts note that Udio produces cleaner vocals but shorter initial clips, while Suno can generate longer clips and be extended. They treat the tools as a major sign of how quickly AI-generated creative content is improving. The conversation then broadens into practical uses for generated songs, especially study aids and mnemonic tools. Andrew demonstrates songs about Roman history and Broca's area, and the group talks about how music can help memory, how cheap and fast generation changes creative work, and how AI may become embedded in everyday life. The latter part of the episode shifts into a long discussion of technology adoption, AI limits and risks, media bias and journalistic self-correction, and then ends with TV picks. Key topics Suno vs. Udio quality and format differences: The hosts compare AI music generators directly. Udio is described as having cleaner vocals, while Suno is described as producing longer clips and being easier to extend. Obscurist Vinyl and AI novelty songs: The show discusses the TikTok account Obscurist Vinyl as an example of AI-assisted novelty music with convincing retro-style packaging and an obscene or raunchy reveal. Music as a mnemonic technology: Brian explains that setting facts to music is an old study technique, and Andrew suggests AI can make customized study songs quickly a

The episode centers on a long discussion of AI's rapid move from novelty to everyday utility. The hosts describe using AI for transcription, editing, text simplification, image cleanup, and coding help, and Andrew demonstrates how tools like Groq and Cursor make inference and programming feel dramatically faster and more accessible than earlier AI systems. The conversation also walks through tokenization and why newer, cheaper models are changing how products are built. A second major thread is the cultural and ethical backlash to AI, especially in creative fields. Brian raises the objection that generative systems are trained on prior human work without permission, and the hosts debate whether that makes AI theft, derivative influence, or just another technology panic. They also discuss regulation, especially in Europe, and close with picks that include TV, film, and AI tools, while arguing that abundance and personalization will reshape music and social media. Key topics Personal AI usage in daily work: Justin describes using AI for transcription, editing, text simplification, art generation, and background removal, and Andrew talks about using ChatGPT and Cursor regularly in coding workflows. AI as a replacement for human labor and consultation: Justin recounts a story about someone planning to retire by setting up AI to do consultations, and Andrew warns that if something becomes easy for one person it becomes easy for everyone. How large language models predict tokens: A

Andrew Mayne, Justin Robert Young, and Brian Brushwood embark on a journey through a variety of topics, starting with a real-world disaster involving a boat crash and a collapsed bridge. They speculate on the implications of tainted fuel and the role of the National Transportation Safety Board in such incidents. The conversation then shifts to the potential for economic and infrastructural disasters, including the hypothetical use of nuclear weapons to disrupt GPS systems. The hosts also discuss the fragility of modern infrastructure and the importance of disaster preparedness. The conversation takes a turn into the realm of technology and security, with a focus on the challenges posed by AI and deepfakes in authenticating identity. They explore the idea of a secure, emergency communication system to verify callers during crises. Finally, the hosts share their picks, including a book recommendation and thoughts on the Netflix adaptation of ‘The Three-Body Problem’, noting its strengths and weaknesses. Picks: Brian Brushwood: ‘Super Communicators’ book Justin Robert Young: ‘The Attention Factory’ book Andrew Mayne: ‘The Three-Body Problem’ on Netflix

The episode opens with a discussion of Boom Supersonic and its attempt to revive commercial supersonic air travel. The hosts talk about Boom's successful test flight of a scaled-down prototype, the plan for the Overture airliner, the role of Japan Airlines, and the history of Concorde, including sonic booms, U.S. restrictions on supersonic flight, and the Concorde's drooping nose and hot exterior. A large middle section focuses on AI as practical tooling: how to prompt ChatGPT and vision models more effectively, how OCR and form-filling could save huge amounts of time, and how Andrew's robot demo uses GPT-4 vision to navigate toward butter in a 3D simulation. The discussion expands into agent-style systems such as Cognition Labs' Devon, AI-assisted research and source gathering, productivity gains in editing and transcription, and the idea that AI is best understood as very powerful software rather than a magical wish box. The final stretch moves through several offbeat stories: a Montana Franken sheep case, a feral hog joke discussion, a toxic cat from a plating factory in Japan, and then a long conversation about Dune: Part Two. On Dune, they debate Paul Atreides' moral ambiguity, Chani's role, prophecy, the Butlerian Jihad, and whether the adaptation captures the complexity and unease of the book. Key topics Commercial supersonic aviation revival: Boom Supersonic is discussed as trying to build a modern supersonic airliner, with a successful prototype test flight, a plan f