In recent years, LLMs have shown significant improvements in their overall performance. When they first became mainstream a couple of years before, they were already impressive with their seemingly human-like conversation abilities, but their reasoning always lacked. They were able to describe any sorting algorithm in the style of your favorite author; on the other hand, they weren't able to consistently perform addition. However, they improved significantly, and it's more and more difficult to find examples where they fail to reason. This created the belief that with enough scaling, LLMs will be able to learn general reasoning.
16:53, 27 февраля 2026Силовые структуры，更多细节参见快连下载-Letsvpn下载
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In the new report Breaking Free: Pathways to a fair technological future, the Norwegian Consumer Council has delved into enshittification and how to resist it. The report shows how this phenomenon affects both consumers and society at large, but that it is possible to turn the tide. Together with more than 70 consumer groups and other actors in Europe and the US, we are sending letter to policymakers in the EU/EEA, UK and the US.