In the morning, the light begins to come on 20 minutes before I want to be awake, followed by the gradually increasing sound of the alarm. There are only a handful of alarm sounds at the moment, but the options are all fine. There are no jarring, grating alarms here — even the bird calls option sounds rich and natural, rather than the too-shrill, piercing recordings I've grown used to avoiding on other alarm clocks and sound machines.
I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.
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An agarose gel. Credit: Kadina Almhjell
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"But you know linear television is doomed, and everyone's ratings are going down, right? I'm sorry, what's that? Our ratings were up seven percent? Over the same speech last year?You know what I think is going on? People may not like watching Trump, but they do like watching me not like watching Trump."
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