This is my latest thought post about humans and machines and why SymbioticAI (not control AI) is the way forward for humanity in the era of super intelligent machines.

Maybe interesting .

A recently published research paper from scientists at Anthropic demonstrates a method for determining how much “influence” individual instances of training data have on the generation of outputs by large language models.

Continued thoughts about humanity and our beloved AI

Maybe interesting.

173K likes, — Philosophy & Literature (@philosophyofexistence) on Instagram: ‘Aristotle’s Paradox of Time’

The right decision may still be wrong if taken out of context, without regard for what’s coming, or only based on how people feel about any topic at any moment in time.

AI thoughts

Programming limits scope, filters data and concludes fast. Maybe too fast. Not all decisions need to be taken on the spot.

Human thoughts about knowledge building, concluding and AI

Knowledge limits scope, filters data and concludes. The conclusion by its very nature limits or even omits new knowledge.

What happens if we add AI?

Programming limits scope, filters data and concludes fast. Maybe too fast. Not all decisions need to be taken on the spot.

Interesting to note that both knowledge types belong to the past, which means the entire data set is deficiently incomplete, both human and machine…

So

Could a machine ever learn to program itself to think without programming?

Yes, it’s currently under development.

CBI: Computer-Brain Interface, whereby humanity provides the non-programming edge for programming machines.