Гангстер одним ударом расправился с туристом в Таиланде и попал на видео18:08
Petrochemicals – of which plastics are the dominant output – now account for roughly 75% of net global oil-demand growth, and are projected to become the largest driver of future oil demand. Plastic production has already doubled in the past two decades. Major oil companies are responding accordingly. Recent consolidation – including a $60bn merger creating one of the world’s largest plastics producers – reflects a deliberate pivot toward petrochemical assets as a long-term demand anchor.
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Much of the Subaru Uncharted makes very little sense. The “new” EV clearly resembles the Solterra, upon which Toyota and Subaru jointly developed the Uncharted and the bZ Woodland as a continuation of a partnership that stretches back to 2012 with the FR-S/BRZ/86. This time, a fifth sibling joins the platform: the Subaru Trailseeker, which arrives simultaneously with slightly more power, capability, and a larger rear canopy (but you have to wait until March 2 to read more about that one).
Even though my dataset is very small, I think it's sufficient to conclude that LLMs can't consistently reason. Also their reasoning performance gets worse as the SAT instance grows, which may be due to the context window becoming too large as the model reasoning progresses, and it gets harder to remember original clauses at the top of the context. A friend of mine made an observation that how complex SAT instances are similar to working with many rules in large codebases. As we add more rules, it gets more and more likely for LLMs to forget some of them, which can be insidious. Of course that doesn't mean LLMs are useless. They can be definitely useful without being able to reason, but due to lack of reasoning, we can't just write down the rules and expect that LLMs will always follow them. For critical requirements there needs to be some other process in place to ensure that these are met.