Podcasts – Weird Things

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

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 […]

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

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 […]

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

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 […]

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.

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 […]

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, 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 […]

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 […]

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

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 […]

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 […]

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

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 […]

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

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 […]

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

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 […]

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)

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 […]

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

In this episode, Andrew Mayne, Brian Brushwood, and Justin Robert Young discuss the recent launch of the Soar app by OpenAI, its features, and how it quickly became a platform for both creating AI-generated videos and a new form of social media. They explore the app’s cameo feature, which allows users to create digital avatars […]

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

In this episode, Andrew Mayne, Justin Robert Young, and Brian Brushwood delve into NASA’s recent announcement about potential biosignatures found on Mars by the Perseverance rover. The conversation then shifts to the future of humanoid robots on Mars, with speculation on when the first robotic step might occur. They also touch upon the rapid advancements […]

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

In this episode, Andrew Mayne, Justin Robert Young, and Brian Brushwood explore the rapid advancements in AI technology and its implications for the future of work and personal dependence on tech. They discuss the introduction of AI in various sectors, the potential for AI to replace human jobs, and the importance of adapting to and […]

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

In this episode, Andrew Mayne, Justin Robert Young, and Brian Brushwood explore the rapidly evolving world of artificial intelligence, particularly focusing on the recent advancements in AI models and their implications for creative writing and podcasting. They discuss the introduction of open-source AI models, the nuances of AI-generated content, and share their personal experiences with […]

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 Mayne, Justin Robert Young, and Brian Brushwood embark on a journey through the latest in AI, discussing the release of GPT-4, MH-X AI, Elon Musk’s contributions, and the introduction of ChatGPT’s Agent Mode. They explore the potential of AI to revolutionize tasks from filling out PDFs to creating slide decks, while also touching on […]

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 […]

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 of Weird Things, Andrew Mayne, Brian Brushwood, and Justin Robert Young explore the fascinating pace of AI development, demonstrating with a live example how a 2D image can be transformed into a 3D model. They discuss the potential of AI in creating new entertainment and gaming experiences, and the implications of job […]

Andrew Mayne, Brian Brushwood, and Justin Robert Young dive into a variety of topics, starting with the potential signatures of life on the exoplanet K2-18b, thanks to the James Webb Space Telescope’s findings. The conversation shifts to the rapid advancements in AI, including the evolution from hydraulic to electric motors in robotics and the implications […]

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

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 […]

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

Andrew Mayne, Brian Brushwood, and Justin Robert Young, with a special appearance by Bella, embark on a journey through the latest in nano technology, showcasing a nano-scale video game that could revolutionize biomedical engineering and nanotechnology. They explore the advancements in AI, particularly in workflow automation and the challenges of nano-tech. The conversation shifts to […]

In this episode, Andrew Mayne, Justin Robert Young, and Brian Brushwood kick things off with a cosmic sigh of relief as the chances of an asteroid hitting Earth decrease. They ponder the implications of a moon impact, drawing parallels to sci-fi scenarios and historical events. The conversation then shifts to Microsoft’s announcement of a quantum […]

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