The coolest thing about the recent wave of AI is that everyone is excited about building. All short-term drama aside, this is an immeasurably good development for the world.
These are all additions to the existing treaty that could have been added without the drama, anger and stupid memes, without Trump blustering about "deals" and without terrifying the inhabitants of Greenland.
VO2 max, the peak of our triangle, is one of the strongest predictors of all cause mortality at any age, reliably predicts the physical activities we can take part in in our daily lives, and slowly decreases as we age.
However, these LLM reasoners that generate informal reasoning in natural language are fundamentally limited by the lack of precise, machine-checkable semantics, making their outputs prone to hallucinations [Huang et al., 2025b] and precluding autonomous verification, a prerequisite for tackling open-ended mathematical research.
If I say it reads a bit like fanfic for Neumeier's own work, that sounds like I'm damning it, but I actually enjoyed it, because, I wanted good things to happen for those characters, who'd had drama enough and to spare.
These corner allocations create a distinct source of cross-market misallocation, separate from the aggregate quantity loss (the Harberger triangle) and from within-market misallocation emphasized in prior work.
and I think most people experience it as like flat triangles and squares in a biology textbook where it's like you know there's an arrow between like this triangle and this triangle is just like doesn't make any conceptual sense and is like confusing and annoying
Excellent character-study/drama about the price of fame, the sincerest forms of flattery, and a little meta-fictionally, the psychology of the theatre and Broadway being usurped by Hollywood
Retrieval-augmented generation (RAG; Lewis et al., 2020), which conditions on the LLM's generation on retrieved documents is the most practical paradigm IMO.
For now, let me say I tore through Reboot, which is a sharply written and hilarious novel about a has-been actor in a downward spiral who tries to fix his life with a (yes) reboot of the Buffy-by-way-of-Baywatch teen drama that made him briefly a star.
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