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.
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 webpage.
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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 this one.
Note: All figures/tab...
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.
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 realized versus promised f...
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.
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.
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!
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.
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.
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!
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'Monster: BTK', the newest installment in the 'Monster' franchise, reveals the true story of the Wichita, Kansas serial killer who murdered at least 10 people between 1974 and 1991. Known by the moniker, BTK – Bind Torture Kill, his notoriety was bolstered by the taunting letters he sent to police, and the chilling phone calls he made to media outlets. BTK's identity was finally revealed in 2005 to the shock of his family, his community, and the world. He was the serial killer next door. From Tenderfoot TV & iHeartPodcasts, this is 'Monster: BTK'.
If you've ever wanted to know about champagne, satanism, the Stonewall Uprising, chaos theory, LSD, El Nino, true crime and Rosa Parks, then look no further. Josh and Chuck have you covered.
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