Research|LLM: AI Doesn’t Move at One Speed, So Why Slow it Down as if it Does?

Once again, X is awash in debate over slowing down AI. Anthropic is calling for slower development of frontier models and stronger safety oversight.

We had a similar discussion a few weeks ago. This time, though, Dario has laid out a serious, detailed argument in a lengthy essay, and both Sam and Elon have expressed support.

There’s plenty of skepticism. The most common argument is that training models has become too expensive, and frontier labs want an excuse to slow down. Others argue they want demand to catch up with model capabilities, then ramp training again once the market grows.

Release Pace Is Not Training Pace

An important distinction: slowing releases does not necessarily mean slowing training. Both Anthropic and OpenAI have developed advanced internal models that are not publicly available. And the safety risks AI poses vary substantially across industries.

In some fields, AI is rapidly dismantling organizational structures and ways of working that have been in place for decades.