Aliens, Boltzmann Brains, and Codex Automation
Monday, May 11th, 2026
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
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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.










