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Yeah this is so common that I've already compiled a mental list of prompts to try against any new release. I haven't seen any improvement in quite a long while now, which confirms my belief that we've more or less hit the scaling wall for what the current approaches can provide. Everything new is just a microoptimization to game one of the benchmarks, but real world use has been identical or even worse for me.

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I think it would be an alright (potentially good) outcome if in the short-term we don't see major progress towards AGI.

There are a lot of positive things we can do with current model abilities, especially as we make them cheaper, but they aren't at the point where they will be truly destructive (people using them to make bioweapons or employers using them to cause widespread unemployment across industries, or the far more speculative ASI takeover).

It gives society a bit of time to catch up and move in a direction where we can better avoid or mitigate the negative consequences.

I would ask chatgpt every year when was the last time England had beaten Scotland at rugby.

It would never get the answer right. Often transposing the scores, getting the game location wrong and on multiple occasions saying a 38-38 draw was an England win.

As in literally saying " England won 38-38"

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