available with a take-up roller that stored the printed output under a locked
In recent years, LLMs have shown significant improvements in their overall performance. When they first became mainstream a couple of years before, they were already impressive with their seemingly human-like conversation abilities, but their reasoning always lacked. They were able to describe any sorting algorithm in the style of your favorite author; on the other hand, they weren't able to consistently perform addition. However, they improved significantly, and it's more and more difficult to find examples where they fail to reason. This created the belief that with enough scaling, LLMs will be able to learn general reasoning.
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The desk is infinitely adjustable, but not quickly adjustable. It stays at standing height. Until recently, I would switch throughout the day between standing on a balance board from FluidStance and sitting on a Håg Capisco stool. Both have now been replaced by an inexpensive treadmill. I’ve found typing while walking to be easier than I’d imagined, but using my trackball mouse to be a bit more difficult than expected. So I’ve customized the mouse significantly to increase its functionality and to reduce the need for precision.