Big Tech

Through extensive experimentation across diverse puzzles, we show that frontier LRMs face a complete accuracy collapse beyond certain complexities. Moreover, they exhibit a counter-intuitive scaling limit: their reasoning effort increases with problem complexity up to a point, then declines despite having an adequate token budget. By comparing LRMs

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The real villain here is Google. Google found one of the very best business models of all time, skimming all the surplus profit off of the entire free open internet. This is the natural end state of that process.

“There’s no way to make these systems without human labor at the level of informing the ground truth of the data — reinforcement learning with human feedback, which again is just kind of tech-washing precarious human labor. It’s thousands and thousands of workers paid very little, though en masse it’s very expensive, and there’s no other way to... See more

Streaming sites have thus transformed into enterprises whose business is not limited to the sale of music-related services, but relies increasingly upon the collection, aggregation, and exchange of user data. A key issue this article pursues concerns the changing status of music within the commercial strategies of online streaming. While previous... See more

Luxury surveillance is a phenomenon where "some people pay to subject themselves to surveillance that others are forced to endure and would, if anything, pay to be free of." You might buy a GPS bracelet to track your biometric data (which will be used by other firms), while others might be forced to wear one (and still pay for it) as part of their... See more