AI is good enough that the limiting factor is the ability of the human driver to keep up. Seems that nervous system ease and malleability will mediate one's ability to get the most out of AI as a fixed/stuck nervous system blocks the ability to imagine/abstract/envision imo.
There ought to be more efficient, request level fee structure for large model usage similar to priority+gas fees on Ethereum.
So if you are short on time and need a request processed faster you can specify a variable tip to get the request processed. @FAL@maharshii
@lancejpollard Reminds me of Aristotles necessary unmoved mover line of reasoning. Seems like this is the jumping off point for faith and/or relationship as a means of personal fine tuning / knowing https://t.co/2NbA0yRwgn
Everywhere I look there is a need for more and better software
What if all the doom and gloom about AI job loss is the opposite?
If there is 10-100x more code, will there be 10x the edge cases where the AI hallucinates or doesn't have the context to complete the task?
Hey @skalskip92 fyi about a broken link to one of your last notebooks uploaded and thanks for publishing all of those! The Open in Colab link works just the main ahref doesn't
From an LLM inference/compute standpoint, which is more efficient in the long run…
A load of lower context agentic reasoning prompts/steps
Vs.
Much fewer very high context massive prompts
I would like to see a chart of raw cost as well as error rate from both… maybe oneday