After Things Podcast

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 enthu

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 re

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

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 ChatGP

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

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

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 med

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 uni

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 dis

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 an