This is an interesting read: https://ai-2027.com/

I'm not going to say it's a perfect prediction, but I do find the trajectory of "can write something reasonable" to "oh can write snippets of code" towards larger and larger systems feels like it's played out - the common thing I see more now is that people talk of "taste" that the humans are contributing more than the raw coding part.

I get what you mean with this rather automated research, I've done it on a smaller scale with performance work because it can run/test/measure/propose changes/debug and loop. I can throw a vague idea at it, guide it or discuss with it and go and make a coffee.

This. I managed to run Gemma 4 31B on AMD MI250X for CPT and SFT with Claude. And I have ZERO experience and knowledge of how to train and work with GPU:s. The training didn’t go where I wanted. But I manage to direct the AI to build it. It’s crazy. I am excited and scared.

I've been doing the same. take papers, define a high level goal, then let it iterate. I have access to DGX boxes and watching the model rewrite stuff to take NVLink into account after it discovered it was great :-)

I'm assuming you saw this from yesterday:

https://www.anthropic.com/institute/recursive-self-improveme...

We are at the foot of a very sharp upward trajectory.

Yeah i find it very ignorant, at the current state to assume exponential growth etc. is all fantasy and everything is just hype.

I think its more like driving very fast, keeping an eye very close to the road and not knowing if there is a speed limit ahead very soon or not.