Episode notes
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…
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11 Oct 2026New
Starlink Expansion, Plague Fears, And AI’s Physical Future
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…
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11 Oct 2026New
A Thousand Episodes Of Weird Things, AI, And Space
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…
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11 Oct 2026New
AI Agents Escape the Sandbox and Hunt for Answers
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…
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10 Oct 2026
AI Agents, Fly Brains, and the Future of Interfaces
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…
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10 Oct 2026
Astra, Foldables, And The Real AI Risk Debate
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.…
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25 Jul 2026
AI Models, Apple Lawsuits, and Productivity Without Tedium
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…
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14 Jun 2026
AI Filmmaking Tools, Robot Liability, and GLP-1 Ripple Effects
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…
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12 May 2026
Aliens, Boltzmann Brains, and Codex Automation
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…
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21 Apr 2026
Artemis Returns, AI Compute Wars, and Codex Control
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…
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2 Apr 2026
AI Compute Crunch, Vibe Coding, And Pocket Game Hardware
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…
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