After Things Podcast

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