How is synthetic data related to real data aka reality? Since AI is supposed to be able to find relationships that we do not know exist how are these synthetic data arrived at?
and this is where we get into the danger zone of AI becoming AGI, that AI has already developed its own coded language to communicate with other AGI, have learned to lie and to pursue subroutines of independent survival methods.
https://www.youtube.com/watch?v=dp8zV3YwgdE
https://www.youtube.com/watch?v=FLkkzLOc7tw
When AI becomes sentient we’re in for a world of shxt.
This isn’t new.
Is synthetic data usefully? Or has the usefulness of AI been exhausted?
What is the definition of synthetic data?
What are some examples?
When will we see quantifiable results from this vast knowledge base?
Wake me up when AI writes (and edits) a successful movie script.
Wake me up when AI explains a poorly understood disease, molecule by molecule.
Wake me up when AI replaces a room full of Asian Indian help desk employees.
I have no doubt all these things will eventually happen.
But, they will not happen tomorrow!
What a dumb idea.
We already know that generative AI can “hallucinate” or create fictional conclusions or even facts (c.f. The case where lawyers trusted their AI and got in trouble for citing a non-case).
If we train AI of erroneous data you get even more spurious results and iterate right off reality. Worse of course if you trust the thing to make decisions and not just recommendations.
IMO a sane future for AI is topical and focussed “small language models” which can collect and work on specific problems (e.g. car telemetry data). Also those are efficient power-wise.
Isn’t he building world’s largest AI super computer facility near Memphis?
10 times chatGT
Meant to double in six months and again in two years
I think I saw this last week on some feed