I just hope the hapless Dortmund defender Ramy Bensebaini (yesterday’s Football Daily) does not follow my path. I too was directly responsible for four opposition goals in one game: one came from my taking a corner that curved behind every one of my teammates, allowing five of the other lot to advance on our puffing centre-back; another was me slicing a clearance so badly that instead of arcing down the touchline, it went at 90 degrees, landing at the feet of an opponent with enough time and space at the edge of our box for his own Grand Designs project. I never again played any form of competitive sport” – Michael Hann.
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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.
How are Blockchains used?Even though blockchain is integral to cryptocurrency, it has other applications. For example, blockchain can be used for storing reliable data about transactions. Many people confuse blockchain with cryptocurrencies like bitcoin and ethereum.