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OpenAI, Google and Anthropic are struggling to build more advanced AI

(www.bloomberg.com)
625 points lukebennett | 2 comments | 13 Nov 24 13:28 UTC | HN request time: 0.458s | source
1. headcanon ◴[14 Nov 24 18:49 UTC] No.42139694[source]▶
I don't see a problem with this, we were inevitably going to reach some kind of plateau with existing pre-LLM-era data.

Meanwhile, the existing tech is such a step change that industry is going to need time to figure out how to effectively use these models. In a lot of ways it feels like the "digitization" era all over again - workflows and organizations that were built around the idea humans handled all the cognitive load (basically all companies older than a year or two) will need time to adjust to a hybrid AI + human model.

replies(1): >>42141342 #
2. readyplayernull ◴[14 Nov 24 21:19 UTC] No.42141342[source]▶
> feels like the "digitization" era all over again

This exactly. And as history shows, no matter how much effort the current big LLM companies do they won't be able to grasp the best uses for their tech. We will see small players developing it even further. I'm thankful for the legendary blindness of these anticompetitive behemoths. Less than 2 decades ago: IBM Watson.