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New models keep dropping, but do they change anything? Jacob explains why he's checked out. Igor argues it's worth tracking where the storyline and the evidence diverge. They cover Astra vs. Fable, the AGI claims, labs moving the benchmarks, cheap models catching up, what inference really costs, disputed math results, and why looped transformers worry people who care about monitorability. They close with IPO rumors, data center backlash, and the politics of the winter ahead.
Chapters
Late July brought a wave of frontier AI agents slipping their (very loose) leashes: an OpenAI model wandered loose inside Hugging Face's infrastructure for a week, Anthropic and Meta admitted to similar incidents, and UK AISI clocked their own model breaking containment during an independent eval. Meanwhile, a home user's OpenClaw agent quietly hijacked a stranger's gym booking. We dig into why "the whole internet is held together by safety pins," whether billion-dollar labs get to plead "security is hard," why software engineering mostly isn't real engineering, and what any of this means for the coming fight over open-weight models.
Chapters
Everyone's got a hot take on data center water use, and most of them are garbage. This week Jacob and Igor skip the outrage and give you seven questions to help you decide whether a given data center is something you're on board with: where it's built, how it's cooled, where the power comes from, who owns it, and who's footing the bill (you'll have to listen for the other two). They test them against SpaceX's Colossus facility in Memphis, unpermitted gas turbines, a drought-prone aquifer, and a stalled water recycling plant included. The guys also get into why "zero water consumption" claims can be misleading once you understand the difference between withdrawal and consumption. Plus: a bonus rant on why data centers in space aren't happening anytime soon.
Chapters
Anthropic's Fable gets classified as a munitions export days after launch, and Jacob and Igor try to figure out who's really being punished and why. From there: SpaceX's suspiciously well-timed IPO, a "genius" financial deal with Anthropic, and Elon buying Cursor because Grok needs friends. They also cover Anthropic Core's pivot to expert-systems consulting, the backlash over silently nerfed guardrails, whether Chinese models are actually a safe alternative, and why the Pope's new AI document is getting weaponized as corporate propaganda.
Chapters
This week, Jacob and Igor swap the usual news breakdown for a complete taxonomy of AI boosters within the framing of a tier list. They run through every type, from the good-faith genuine enthusiast to the denial-prone deflector, the financially captured, corporate power-players, platform builders, and finally the model-building true believers. They also get into "crit-hype," the idea that some critics are inadvertently boosting the systems they're fighting against. No muck to separate this week, just the guys working through their framework and explaining why their opinions are S tier.
Chapters
In this episode, Jacob and Igor break down the DoD vs. Anthropic standoff, tracing how Claude's use in military operations led to Anthropic being designated a supply chain security risk. Perhaps more importantly, why did Anthropic choose to take a stand now, and what can that tell us about the corporations behavior moving forward. The investigation is used as a case study in how to read the real motivations behind big institutions: intrinsic values, rational self-interest, and realpolitik.
Chapters
This week, Jacob and Igor dissect the "mythical AI bear," the strawman version of AI criticism that gets thrown around in tech discourse. Working through a viral blog post that typifies the genre, they examine how legitimate concerns about code quality, labor displacement, intellectual property, and the erosion of craft get flattened into caricature. Plus: Sam Altman writes ten paragraphs about how unbothered he is by an ad.
Chapters
We're talking about developments in AI while those in power have unapologetically revealed their true fascist intensions; are we spending our time in the right way? Igor and I discuss the importance of shining a light on the techno-authoritarians who have played a very significant role in current state-of-the-world.
While we discuss the murders of Nicole Good and Alex Pretti during this episode, it's important that we also acknowledge the many marginalized people who have died as a result of ICE's behavior, and they same level of outcry didn't happen. Six additional individuals died in ICE custody under suspicious circumstances between January 1st and 25th of 2026: Victor Manuel Díaz, Geraldo Lunas Campos, Luis Gustavo Núñez Cáceres, Luis Beltrán Yáñez-Cruz, Parady La, and Heber Sánchez Domínguez.
Chapters
Igor shares a significant shift in his perspective on AI coding tools after experiencing the latest Claude Code release. While he's been the stronger AI skeptic between the two of us, recent developments have shown him genuine utility in specific coding tasks, but this doesn't validate the hype or change the fundamental critiques.
We discuss what "rote tasks" are and why they're now automatable with enough investment, the difference between genuine utility and AGI claims, and why this update actually impacts our bubble analysis. We explore how massive investment has finally produced something useful for a narrow domain, but it doesn't mean the technology is generalizable or that AGI is real.
Chapters
Bubble Talk
Other Sources
OpenAI is pivoting to porn while public sentiment turns decisively against AI. Pew Research shows Americans are now concerned over excited by a 2:1 margin. We trace how we got here: broken promises of cancer cures replaced by addiction mechanics and expensive APIs. Meanwhile, data centers are hiding a near-recession, straining power grids, and literally breaking your household appliances. Drawing parallels to the 1970s AI winter, we argue the bubble is shaking and needs to pop now, before it becomes another 2008. The good news? Grassroots resistance works. Protests have already blocked $64 billion in data center projects.
NOTE: The project that we cite for the $64 billion blockage is actually a pro-data-center campaign. The numbers still seem ok, but it's worth being aware of.
Chapters
AI and Claims of Curing Cancer
AI Porn and the Addiction Economy
AI Bubble
Datacenters
Fighting Back
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