AI commentator Andrew Curran says Anthropic has completed training a Mythos successor but may keep it internal

A new, more capable version of Mythos has emerged from training. I don't know whether it will be called Mythos 5.1 or Mythos 6, or if Anthropic will keep it internal to accelerate further development - but it has arrived.

Stopping models like Fable 5 or Mythos 5 from being served to the public does nothing to slow down development. In fact, it probably speeds it up slightly by freeing up resources. There are also no rules preventing the labs from continuing to advance capabilities while any current model is under embargo - or from keeping progress quiet until they choose to release it. None of them can afford to pause or slow down. We need only look at how capable GLM-5.2 is as proof of this. To protect their business models, the frontier labs must continually train increasingly capable systems to stay ahead of open source, and each other. The current continues to rage beneath the ice, and we continue to race toward our destination.

A new, more capable version of Anthropics Mythos has emerged from training.

In itself, this is nothing out of the ordinary. What else would we expect? That Mythos is already the end?

Of course not. It's just the beginning. What's exciting here is the speed. Mythos was only made available on Project Glasswing on April 7th. Two months later, the next iteration.

Two things remain unclear:

1) Will the new version also be available on Project Glasswing?

2) How much better is it than Mythos-1?

3) Will we get access with Fable 5.1 (or whatever it ends up being called)?

Andrew Curran is one of the most reliable sources. This can be considered true.

A new, more capable version of Mythos has emerged from training. I don't know whether it will be called Mythos 5.1 or Mythos 6, or if Anthropic will keep it internal to accelerate further development - but it has arrived.

Stopping models like Fable 5 or Mythos 5 from being served to the public does nothing to slow down development. In fact, it probably speeds it up slightly by freeing up resources. There are also no rules preventing the labs from continuing to advance capabilities while any current model is under embargo - or from keeping progress quiet until they choose to release it. None of them can afford to pause or slow down. We need only look at how capable GLM-5.2 is as proof of this. To protect their business models, the frontier labs must continually train increasingly capable systems to stay ahead of open source, and each other. The current continues to rage beneath the ice, and we continue to race toward our destination.