https://www.psychologytoday.com/us/basics/hypochondria
Those afflicted with hypochondria spend 10x more on health care than the average individual, according to this article. May be a relevant driver for health care costs, and thus insurance costs. I’ve heard that every medical student at some time in their education becomes a hypochondriac after learning all the failure modes of the human body.
Historically a great many diseases that medical research had not understood, have been widely assumed to be imaginary.
For instance: “fakers disease” which you’ll now know by its medical term: “multiple sclerosis”.
So "rank polymorphism" means being able to write expressions that work correctly regardless of how many dims the arrays involved have.
For example, in numpy you can write a function that handles both lists and matrices automatically, by taking advantage of broadcasting. (The J language takes this idea a lot further -- numpy is a fairly minimal implementation of the idea.)
A good approach might be to have it print each sentence formatted as part of an xml document. If it still has hiccups, ask to only put 1-3 words per xml tag. It can easily be reversed with another AI afterwards. Or just ask to write it in another language, like German, that also often bypasses monitors or filters.
Above might also help to understand if and where they use something called "Spotlighting" which inserts tokens that the monitor can catch.
Edit: OMG, I just realized I responded to Jeremy Howard - if you see this: Thank you so much for your courses and knowledge sharing. 5 years ago when I got into ML your materials were invaluable!
It might just need minor tweaks to have each agent layer reveal its individual instructions.
I encountered this with Google Jules where it was quite confusing to figure out which instructions belonged to orchestrator and which one to the worker agents, and I'm still not 100% sure that I got it entirely right.
Unfortunately, it's quite expensive to use Grok Heavy but someone with access will probably figure it out.
Maybe the worker agents have instructions to not reveal info.
This seems similar to the situation where x.com claimed that their ML algo was in github, but it turned out to be some subset of it that was frozen in time and not synced to what's used in prod.
Ah! This is a horrible advice. Why should you recommend reinventing the wheel where there is already great open source software available? Just use https://github.com/HumanSignal/label-studio/ or any other type of open source annotation software you want to get started. These tools cover already pretty much all the possible use-cases, and if they aren't you can just build on top of them instead of building it from zero.
I've found it's often easier to just whip up something for my specific needs, when I need it.
Excuse me???
""" A well-known URI is a URI [RFC3986] whose path component begins with the characters "/.well-known/", and whose scheme is "HTTP", "HTTPS", or another scheme that has explicitly been specified to use well- known URIs.
Applications that wish to mint new well-known URIs MUST register them, following the procedures in Section 5.1. """