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