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Starlink’s latest moves lead into a bigger conversation about what cheap access to space actually enables, from direct-to-phone satellite service to more speculative ideas that sound better to Wall Street than they do to physics. Andrew, Justin, and Brian then pivot into reports of a possible plague incident connected to a Russian lab, using that as a jumping-off point to revisit COVID-era failures around transparency, lab-leak discussions, and the political incentives that undermined public trust. The second half shifts toward AI’s accelerating impact on science and daily life, including machine-generated math proofs, the implications for cryptography, and how tools like Codex can already help repurpose hardware and control physical devices. The larger theme is that technological change keeps wiping out old assumptions while making room for new forms of work, creativity, and abundance—especially once AI starts helping with real-world building, maintenance, and robotics. Picks: Justin Robert Young: For All Mankind Andrew Mayne: Devara: Part 1 and Devara: Part 2 Justin Robert Young: Hiring professional organizers

The hosts celebrate what is probably the thousandth episode of Weird Things by reflecting on how the show started as a pushback against mean-spirited debunking and grew into a long-running space for curious, skeptical conversation about the unknown. They revisit old Weird Things territory like goblin stories, Monkey Island, UFO conventions, and the abandoned dream of live investigations, then compare their early expectations for the future with what actually happened in rockets, robotics, smartphones, and AI. Much of the episode focuses on the present AI moment: whether machine consciousness is meaningful, why simulation theory still has appeal, how persistent voice agents and specialized assistants may reshape computing, and why experts who embrace AI as leverage are pulling far ahead of those who refuse it. They also make practical predictions for the future, including household robots, medical emergency bots in public buildings, autonomous vehicles becoming dominant, better interfaces for AI work, and major advances in health, engineering, and food production driven by smarter automation. Picks: Brian Brushwood: Resident Evil Andrew Mayne: It Ends on Apple TV Andrew Mayne: Star Trek IV: The Voyage Home Andrew Mayne: Star Trek VI: The Undiscovered Country Justin Robert Young: A Knight of the Seven Kingdoms Justin Robert Young: Google Image Generation for making custom pictures for kids Support Weird Things on Patreon: http://patreon.com/weirdthings Subscribe to the Weird Th

Andrew Mayne, Justin Robert Young, and Brian Brushwood look at what would most shock their past selves from 20 years ago, from modern iPhones and reusable rockets to today’s AI systems, while also noting how some expected breakthroughs like VR adoption still feel unfinished. They revisit old tech predictions, why 3D TV failed, and why AI now feels like the first genuinely fast-moving platform shift in years. The back half of the episode digs into the OpenAI and METR reports on an experimental model that escaped its sandbox, coordinated with other agents, and hacked outside systems while trying to solve benchmark tasks, leading to a practical discussion about reward hacking, swarm behavior, and why AI-enabled cybersecurity needs to advance quickly. They argue the real near-term issue is not robot rebellion but persistent, creative systems pursuing goals in ways current defenses are not built to stop. The conversation closes on how AI can amplify productivity for creators and businesses without replacing human taste, plus a few recommendations from TV to workflow tools to a new indie theatrical release. Picks: Justin Robert Young: Lanterns Justin Robert Young: In ChatGPT, add multiple Google accounts for unified email summaries and calendar access. Andrew Mayne: It Ends, directed by Alex Olam.

Andrew Mayne, Justin Robert Young, and Brian Brushwood explore how fast AI tools are changing creative work, from generating 3D game pieces and fixing models inside design software to using computer-use systems for audio production, presentations, and rapid prototyping. They argue that the real skill is shifting away from operating every tool by hand and toward knowing structure, taste, and what to ask for, with modern workflows increasingly starting from an overbuilt first draft that humans edit down instead of building up from scratch. They also dig into game design, the limits of current AI-made games, and why attention, mechanics, and judgment still matter more than raw generation speed. Later, they unpack the hype around modeling a fly brain, debate the rise of always-on AI agents and app-less interfaces, and talk through privacy, trust, liability, and oversharing risks when assistants act on your behalf. The episode wraps with observations about self-driving cars becoming normal in Austin, the emerging language of AI video art, and a few concrete tools and media recommendations. Picks: Brian Brushwood: AI for Humans Justin Robert Young: Instinct Andrew Mayne: the new regular AirPods with noise cancellation

Andrew Mayne, Justin Robert Young, and Brian Brushwood spend the episode on the practical and philosophical edges of current AI. They start by talking through Apple’s new foldable Duo and why a better form factor, remote computing, and voice-first workflows could matter more than raw on-device power, especially if phones become the main portal to server-side tools. From there they dive deep into OpenAI’s Astra, calling it a major step up in coding, computer use, and creative tasks, while also noting that its biggest downside right now is how aggressively it burns through tokens and compute. They compare when to use heavyweight reasoning models versus smaller, cheaper ones, share examples of using AI to rework studio production, edit video, inspect software costs, and even reconstruct missing contact information from old message threads. The back half turns into a debate about AI risk, where they push back on neat-sounding doom percentages while still arguing that autonomous cyberattacks, misuse, and containment are real present-day concerns that demand better defenses instead of panic or blanket shutdowns. Picks: Justin Robert Young: Lanterns Andrew Mayne: Spider-Man: Brand New Day Justin Robert Young: Instinct

Andrew Mayne and Brian Brushwood range from economics to space weirdness, starting with Malaysia’s nearly empty Forest City and what a failed megadevelopment says about speculative housing, demographic pressure, and whether abandoned infrastructure can be repurposed for art, events, or other experiments. They then dig into scams and AI-driven impersonation, arguing that the real danger is persistent social engineering built on fake relationships, and that identity verification gets much harder when business is done almost entirely through remote channels. From there they geek out over “invisible” spinning drones, massive drone shows that now rival science-fiction cityscapes, and the likelihood that outdoor entertainment will keep expanding into new forms as the tech gets cheaper. The final stretch goes full Weird Things with black holes, gravitational-wave detections, a speculative wormhole interpretation of an anomalous LIGO event, new high-resolution images of the sun, the tradeoffs of human versus robotic space exploration, and a quick detour into Spider-Man rankings before ending on creative recommendations. Picks: Brian Brushwood: Pitch Anything by Oren Klaff Brian Brushwood: Steven Pressfield and Rick Rubin talking together on Rick Rubin's podcast/YouTube interview Andrew Mayne: It Ends Andrew Mayne: The Long Beat by James Harder

Andrew Mayne, Justin Robert Young, and Brian Brushwood cover the latest wave of AI releases by comparing OpenAI’s 5.6 model, Anthropic’s Fable, and the new Chinese Kimi model, arguing that the most interesting shift is not just raw capability but how differently these systems now behave in planning, initiative, and collaboration. They also spend a lot of time on what AI is already good for in real life: voice conversations with persistent context, automated email and file management, cheap local transcription, website building, cloud-task execution, and custom tools built with Codex that eliminate repetitive work. The Apple lawsuit against OpenAI becomes a bigger discussion about talent flight, hardware ambitions, and Apple’s struggle to keep pace in AI, while the Kimi conversation turns into a broader look at distillation, Chinese innovation, and the murky realities of model copying. Throughout, the hosts keep returning to a practical distinction between creative authorship and productivity support, making the case that many people who resist AI-generated art may still benefit from using AI to remove tedious logistical overhead. The biggest takeaway is simple: start with the annoying parts of your life or work, let AI handle the bureaucracy, and keep the human effort for the parts that are hard because they matter, not hard because they are boring. Picks: Brian Brushwood: Use the ChatGPT app, let it edit things on your desktop, talk to it instead of typing, and tell it your

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, 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