(1) https://philippdubach.com/posts/the-most-expensive-assumptio...
The TechCrunch article doesn't specify how/what kind of data a recursive general AI could use to achieve such a thing. If it is possible that's exciting. Seems like a real philosophical question to answer- How could a general AI self-train?
>...Here we show that it is possible for machines to discover a state-of-the-art RL rule that outperforms manually designed rules. This was achieved by meta-learning from the cumulative experiences of a population of agents across a large number of complex environments... https://www.nature.com/articles/s41586-025-09761-x
and
>A new generation of agents will acquire superhuman capabilities by learning predominantly from experience. This note explores the key characteristics that will define this upcoming era. https://storage.googleapis.com/deepmind-media/Era-of-Experie...
Their website doesn’t even have a hint of what the approach is.
But if you think about our brain, if you learn something new, you play with it and recall it and challange the new information. Perhaps we can build something similiar. A model adjusting itself until its perfect.
Human learning relies on movement. We learn as we navigate the world and interact with objects as noted by Jeff Hawkins in "A Thousand Brains".
It may be an AI will also require this ability, either via simulation or a robotic interface. Will an AI then also lose its train of thought when it walks through a doorway and context (reference frame) switches?
Would it be exciting though? I mean it would certainly excite some things, but I don’t know that it would be something to rejoice.
Housing, healthcare, and food production all spring to mind as industries that matter waaaay more than AI! (≧ᗜ≦)
"not wanting to risk missing out" is essentially just FOMO right? "Smart" money has feels more like FOMO money these days. We literally have shoe companies savying they're going to pivot to AI and having their market cap increase in multiples as reward.
Sorta sums up the whole industry.
So pre-money in this case is their valuation even before they've received any investment.