Join us as we dig a tiny bit deeper into the hype surrounding "AI" press releases, research papers, and more. Each episode, we'll highlight ongoing research and investigations, providing some much needed contextualization, constructive critique, and even a smidge of occasional good will teasing to the conversation, trying to find the meaning under all of this muck.
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Contact path
Verified email
Booking probability
31%
Guest openness
Selective
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Signup to Generate a PitchJoin us as we dig a tiny bit deeper into the hype surrounding "AI" press releases, research papers, and more. Each episode, we'll highlight ongoing research and investigations, providing some much needed contextualization, constructive critique, and even a smidge of occasional good will teasing to the conversation, trying to find the meaning under all of this muck.
Recent episodes include "Pulling the Ladder Up on Math" (26 October 2026, 55 minutes), "Sandboxes Are Optional Now, Apparently" (14 September 2026, 59 minutes), and "The Finding-Out Era of AI" (14 July 2026, 67 minutes).
muckrAIkers publishes roughly monthly, with episodes averaging 66 minutes across 29 episodes.
Booking probability for muckrAIkers is 31%, and the host is rated Selective on guests. muckrAIkers requires a Pod Score of 80 or higher. muckrAIkers's contact route on record: verified email.
The strongest fits for muckrAIkers are Scientific Research & Development and IT Services & Software Development. muckrAIkers has a science audience.
muckrAIkers is a science podcast with 29 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
Episode #28
Math people are upset, and (at least some of) the internet’s response has mostly been “so what?” Igor wants to explain why it matters. We start with OpenAI’s Navier-Stokes announcement and the drama that followed, then...
Episode #26
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...
Episode #24
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...
Episode #23
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...
Episode #22
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...
Episode #21
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...
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...
Episode #19
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...
Episode #18
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...
Episode #17
Jacob and Igor argue that AI safety is hurting users, not helping them. The techniques used to make chatbots "safe" and "aligned," such as instruction tuning and RLHF, anthropomorphize AI systems such they take...
Episode #16
We dig into how the concept of AI "safety" has been co-opted and weaponized by tech companies. Starting with examples like Mecha-Hitler Grok, we explore how real safety engineering differs from AI "alignment," the myth...
Episode #15
In this episode, we redefine AI's "reasoning" as mere rambling , exposing the "illusion of thinking" and "Potemkin understanding" in current models. We contrast the classical definition of reasoning (requiring logic and...
Episode #14
In this episode, we break down Trump's "One Big Beautiful Bill" and its dystopian AI provisions: automated fraud detection systems, centralized citizen databases, military AI integration, and a 10-year moratorium...
Episode #13
Jacob and Igor tackle the wild claims about AI's economic impact by examining three main clusters of arguments: automating expensive tasks like programming, removing "cost centers" like call centers and corporate art...
Episode #12
DeepSeek has been out for over 2 months now, and things have begun to settle down. We take this opportunity to contextualize the developments that have occurred in its wake, both within the AI industry and the world...
muckrAIkers
DeepSeek R1 has taken the world by storm, causing a stock market crash and prompting further calls for export controls within the US. Since this story is still very much in development, with follow-up investigations and...
Episode #11
Chris Canal, co-founder of EquiStamp, joins muckrAIkers as our first ever podcast guest! In this ~3.5 hour interview, we discuss intelligence vs. competencies, the importance of test-time compute, moving goalposts, the...
Episode #10
What happens when you bring over 15,000 machine learning nerds to one city? If your guess didn't include racism, sabotage and scandal, belated epiphanies, a spicy SoLaR panel, and many fantastic research papers, you...
The idea of model cards , which was introduced as a measure to increase transparency and understanding of LLMs, has been perverted into the marketing gimmick characterized by OpenAI's o1 system card. To demonstrate the...
Episode #8
While on the campaign trail, Trump made claims about repealing Biden's Executive Order on AI, but what will actually be changed when he gets into office? We take this opportunity to examine policies being discussed or...
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