what does “slowing down AI” actually mean?

I've been thinking about the whole AI slowdown discussion, and something doesn't quite add up to me. Anthropic's CEO has been calling for the industry to slow the development of increasingly capable AI models so there's more time for safety and evaluation. But now Anthropic is reportedly considering another new model as it faces growing pressure from OpenAI. And I don't know honestly, I don't think that's necessarily contradictory. That's probably the problem. If you're an AI company competing in a market where everyone else is still improving their models, how do you actually slow down without giving up ground? Maybe “slow down AI” doesn't really mean stopping the race. Maybe it means slowing down the release of capabilities while the underlying AI development keeps moving. What an actual AI slowdown would look like in practice?