C) not smart enough to be a self-taught bio-hacker
Everyone hears "AI is going to cure disease" and pictures some cure-all pill from a bio lab which is what I feel this paper is hinting at is missingb but that's the top of the funnel; I'm at the bottom where patients live and that is where AI is already quietly working. Its just not being benchmarked.
I built https://crohns.ai. I set out to make an AI-native clinical-trial manager with a feedback loop (DDP) and ended up somewhere completely different: instead of chasing a new "drug" which is totally out of my grasp; financially, intellectually etc... I used it to codify a care protocol that helped me avoid a flare after I got laid off, lost my insurance, and lost access to Skyrizi.
If given the chance, I might go back on it because my protocol can be a little strict at times but either way I do see a significant shift to tools like this given the state of the US Healthcare system.
cool. i like what you've done here with a virtual panel that can answer questions ... i have similar ideas for kabuki syndrome (currently: https://www.thekabukipapers.org). talk? marstall at gmail.
> i like what you've done here with a virtual panel that can answer questions
Thats the main thing. I think that Ai-native governance by domain experts is how AI reaches its full potential. Not in theory but in terms of the value it delivers to populations via outcomes.
AI-native Governance is like irrigation for the outcomes populations want to achieve, starts with intents; executed on by programs that use protocols as guardrails. This is a gross oversimplification of the process but based what i see from your work you will get the abstract.
Each codify.* is a PDA [Public Domain Agent] - that gets delegated intents per request and has to manage its own "deal" - its also managed democratically via ontology and downline policies set by the experts in said field and has feedback loop to verify/optimize policy outcomes.
This concept applies to everything IMO, and I cannot say I fully understand it but im absolutely obsessed with the exploration of the idea; again - in practice not theory. I have real outcomes in healthcare, education and housing.
how do you define the specialists? a prompt? what do you mean by using protocols as guardrails? Also, can you give me a TLDR on how these voice interfaces work? What kinds of problems are you solving, and how, in an ELI5 way. I might be a lot dumber than you give me credit for!
A) no education
B) no resources
C) not smart enough to be a self-taught bio-hacker
Everyone hears "AI is going to cure disease" and pictures some cure-all pill from a bio lab which is what I feel this paper is hinting at is missingb but that's the top of the funnel; I'm at the bottom where patients live and that is where AI is already quietly working. Its just not being benchmarked.
I built https://crohns.ai. I set out to make an AI-native clinical-trial manager with a feedback loop (DDP) and ended up somewhere completely different: instead of chasing a new "drug" which is totally out of my grasp; financially, intellectually etc... I used it to codify a care protocol that helped me avoid a flare after I got laid off, lost my insurance, and lost access to Skyrizi.