part of this I understand is survival. And I understand why you do this.
The other part of this is why it's so frustrating for me to find the right person. Everybody's resume looks perfect for the role, and I have to waste 30-45 mins digging into their actual experience. You have done yourself a great disservice by wasting that time sitting in an interview you were not qualified for, and worse still I always feel there are other, more qualified people, who I have missed/passed over their resume since it wasn't AI tuned.
I understand your frustration and i hope to have a earnest discussion on this.
One of the 3 jobs require hiring other developers. I don't find it difficult at all. I have my own intuition and technique I rely on. If you are wasting 30~45 minutes on a resume, you are probably chasing the wrong signals. It's not my fault.
> You have done yourself a great disservice by wasting that time sitting in an interview you were not qualified for, and worse still I always feel there are other, more qualified people, who I have missed/passed over their resume since it wasn't AI tuned.
How can I know if I meet the prospective employee's criteria or not before I do the interview? How am I to be held reliable for other people's failure to make themselves visible or your frankly your lack of skill at recruiment?
It's convenient to blame AI for any shortcomings these days but if you don't know what you are doing, you were always going to reach for something external something imagined to deflect your own areas that need improvement.
that's a very dangerous analogy, because you would be considered the domain expert and you are just asking for synonyms for something you already know but may not remember off-hand.
now, what if you asked for the synonym for "provides" in a language that has gender differences (e.g. spanish/portuguese) as well as societal nuances (e.g. japanese) and it gives you "confers", how would you now know that's correct?
ah, so you say you tell it to take into consideration gender differences, as well as societal nuances. What are those, if you were not already familiar with the language?
You are pushing the limits of my framework and it’s a good thing.
The extent to which LLMs help is determined by how well acquainted you are with the domain. But it will always push you directionally in the right direction.
In your case, you used a language example and this is one where LLMs have natural strength in. I don’t need to be an expert in Spanish to trust it because I know that LLMs are specifically good at catching these problems.
But again there are limits and good to understand it.
In healthcare, HIPAA/GDPR equivalent would block this. Let's be realistic in our discussion; this is not the same as google buying up a library worth of books, scanning and destroying them
Other countries actually don't necessarily have a similar mix of ailments, median patient appearance and style of communication or even recommended course of action and most of the ones with more sophisticated medical care also have strict medical privacy laws. If you're genuinely unaware of this, I'm not sure you're in a position to be making "one year with a camera, how hard can it be" arguments...
(Where AI is likely to actually excel in medicine is parsing datasets that are much easier to do context free number crunching on than ER rooms, some of which physicians don't even have access to ...)
I think you're being silly if you think the amount of money at stake here, not the mention the health of billions of people is going to be stymied by privacy laws.
We have wildly heterogeneous data just within the US!
And again, how exactly is this interface going to work? How does the AI determine how hard to press on an abdomen, and where, and how does it press there once it has that information?
the consensus seems to be that the foam itself is the spring (hence the successful adidas evo sl and dynafish xiaonian), and the carbon plate/rod/whatever is more to control/manage that "spring".
I can see the dichotomy forming in the "post AI" world;
1) massive companies spending millions of tokens to write+secure their software
2) in the shadows, "elite" software contractors writing bespoke software to fulfill needs for those who can't afford the millions, or fix cracks in (1)
(Oh wait, I think this is what is happening now, anyway, minus the millions of tokens)
A lot of small co-op groceries and even food co-ops that are more like ordering clubs used to use a company called UNFI to put in their orders but I think they focused more on organic and other high end items but they were willing to service smaller stores so yeah it's probable. There was also IGA (independent grocers association) but I think most of the stores associated with that brand/network locally have closed down so not sure if it's a thing anymore. Many of the independent convenience stores here stock almost all of their groceries at Aldi.
I lived in a town with only IGA and Piggly-Wiggly. (And Dollar General, of course). IGA was the best. I really appreciate what they were doing. It appears to still exist.
interesting the ones they chose to name; I would have probably started with 6502/68000/68020/z80 assembly, fortran, cobol, basic, c, ada, simula 67, sh, zsh, bash, napier 88, tcl, perl, rexx, before hitting the next generation of python, c++, etc.
If starfish is even despairing than blindsight and echopraxia, then this should be "fun"!
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