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Stack allocation of constant-sized slices
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On Tuesday, Anthropic said it was modifying its Responsible Scaling Policy (RSP) to lower safety guardrails. Up until now, the company's core pledge has been to stop training new AI models unless specific safety guidelines can be guaranteed in advance. This policy, which set hard tripwires to halt development, was a big part of Anthropic's pitch to businesses and consumers.
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.