muckrAIkers

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 cri...

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...

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 ho...

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, i...

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 wi...

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...

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 advantage of our instincts as social beings. At the same time, Big Tech companies push these systems for "wellness" while dodging healthcare liability, causing real harms today We discuss w...

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 of the alignment tax, and why this semantic confusion matters for actual safety. (00:00) - Intro (00:21) - Mecha-Hitler Grok (10:07) - "Safety" (19:40) - Under-specification (53:56)...

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 consistency) with Big Tech's new version, which is a generic statement about information processing. We explain how Large Rambling Models generate extensive, often irrelevant, ramb...

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 blocking all state AI regulation. We explore the historical parallels with authoritarian data consolidation and why this represents a fundamental shift away from limited government princi...

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, and claims of explosive growth. They dig into the actual data, debunk the hype, and explain why most productivity claims don't hold up in practice. Plus: MIT denounces a paper with f...

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 economy. As systems get more "agentic" and users are willing to spend increasing amounts of time waiting for their outputs, the value of supposed "reasoning" models continues to be ped...

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 calls for governance being released almost daily, we thought it best to hold of for a little while longer to be able to tell the whole story. Nonetheless, it's a big story, so we p...

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 orthogonality thesis, and much more. A seasoned software developer, Chris started EquiStamp as a way to improve our current understanding of model failure modes and capabilities in...

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 wouldn't have captured my experience. In this episode we discuss the drama and takeaways from NeurIPS 2024. Posters available at time of episode preparation can be found on the episode...

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 adversarial stance we believe is necessary to draw meaning from these press-releases-in-disguise, we conduct a close read of the system card. Be warned, there's a lot of muck in thi...

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 implemented by leading governments around the world. (00:00) - Intro (00:29) - Hot off the press (02:59) - Repealing the AI executive order? (11:16) - "Manhattan" for AI (24:33) - EU...

Multiple news outlets, including The Information, Bloomberg, and Reuters [see sources] are reporting an "end of scaling" for the current AI paradigm. In this episode we look into these articles, as well as a wide variety of economic forecasting, empirical analysis, and technical papers to understand the validity, and impact of these reports. We also use this as an opportunity to contextualize the...

October 2024 saw a National Security Memorandum and US framework for using AI in national security contexts. We go through the content so you don't have to, pull out the important bits, and summarize our main takeaways. (00:48) - The memorandum (06:28) - What the press is saying (10:39) - What's in the text (13:48) - Potential harms (17:32) - Miscellaneous notable stuff (31:11) - What's the US gov...

Frontier developers continue their war on sane versioning schema to bring us Claude 3.5 Sonnet (New), along with "computer use" capabilities. We discuss not only the new model, but also why Anthropic may have released this model and tool combination now. (00:00) - Intro (00:22) - Hot off the press (05:03) - Claude 3.5 Sonnet (New) Two 'o' 3000 (09:23) - Breaking down "computer use" (13:16) - Our u...

Brace yourselves, winter is coming for OpenAI - atleast, that's what we think. In this episode we look at OpenAI's recent massive funding round and ask "why would anyone want to fund a company that is set to lose net 5 billion USD for 2024?" We scrape through a whole lot of muck to find the meaningful signals in all this news, and there is a lot of it, so get ready! (00:00) - Intro (00:28) - Hot o...

The Open Source AI Definition is out after years of drafting, will it reestablish brand meaning for the “Open Source” term? Also, the 2024 Nobel Prizes in Physics and Chemistry are heavily tied to AI; we scrutinize not only this year's prizes, but also Nobel Prizes as a concept.   (00:00) - Intro (00:30) - Hot off the press (03:45) - Open Source AI background (10:30) - Definitions and changes in R...

Why is Mark Ruffalo talking about SB1047, and what is it anyway? Tune in for our thoughts on the now vetoed California legislation that had Big Tech scared. (00:00) - Intro (00:31) - Updates from a relatively slow week (03:32) - Disclaimer: SB1047 vetoed during recording (still worth a listen) (05:24) - What is SB1047 (12:30) - Definitions (17:18) - Understanding the bill (28:42) - What are the pl...

OpenAI's new model is out, and we are going to have to rake through a lot of muck to get the value out of this one! ⚠ Opt out of LinkedIn's GenAI scraping ➡️ https://lnkd.in/epziUeTi (00:00) - Intro (00:25) - Other recent news (02:57) - Hot off the press (03:58) - Why might someone care? (04:52) - What is it? (06:49) - How is it being sold? (10:45) - How do they explain it, technically? (27:09) -...