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by Andrew Mayne
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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
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 […]
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
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 […]
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
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 […]
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.
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 […]
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