I think he meant Syria. And the more cogent interpretation is that the US has supported parties who perform as Islamic fundamentalists than they do actual ‘fundamentalists’.
I think it’s essential to realize that AI is a tool for mainstream tasks like composing a standard email and not for the edges.
The edges are where interesting stuff happens. The boring part can be made more efficient. I don’t need to type boring emails, people who can’t articulate well will be elevated.
It’s the efficient popularization of the boring stuff. Not much else.
> The edges are where interesting stuff happens. The boring part can be made more efficient. I don’t need to type boring emails, people who can’t articulate well will be elevated.
I think that boring emails should not be written. What kind of boring emails do you NEED to be written, but not WANT to write? Those are exactly the kind of email that SHOULD NOT be passed through an LLM.
If you need to say yes/no. You don't want to take the whole email conversation and let LLM generate a story about why you said yes/no.
If you want to apply for a leave, just make it optimal "Hi <X>, I want to take leave from Y to Z. Thanks". You don't want to create 2 pages of justification for why you want to take this leave to see your family and friends.
In fact, for every LLM output, I want to see the input instead. What did they have in mind? If I have the input, I can ask LLM to generate 1 million outputs if I really want to read an elaboration. The input is what matters.
If I have the input, I can always generate an output. If I have the output, I don't know what was the input (i.e. the original intention).
when i pass my writings through ai the output is generally only marginally bigger than the input, and it derisks things a lot making my prose a nice beige.
It contributes to making “standard” emails boring. I rather enjoy reading emails in each sender’s original voice. People who can’t articulate well aren’t elevated, instead they are perceived to be sending bland slop if they use LLMs to conceal that they can’t express themselves well.
Yep. That's one of the downsides of relying on unit count. Sellers don't always accurately match the unit count to their product title. I'll work on fixing these inconsistencies.
It is not AI becuase employees hired in Romania and the US are both expected to be able to know how to use AI, which papers over performance issues in most cases that matter for a business (time to delivery), but I cannot justify hiring a deskilled NCG for $120k in the US.
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> Why are then so many US developers still employed
Becuase unlike the HN hivemind, a large portion of experienced developers in the US have found ways to realistically adopt new technologies where they are relevant.
Reflexively being an AI fanatic or Luddite is stupid, but being a SWE who is able to tin recognize and explain the value of these tools and their limits is extremely valuable.
I can justify paying $300-400k TCs if you are not a code monkey. This means being able to architect, manage upwards, do basic design and program management, hop onto customer calls, and keep upskilling on top of writing and reviewing code.
We are not hiring SWEs to only push code. We hire SWEs in order to translate and implement business requirements into software.
A developer who has a mindset like that is worth their weight in gold, and there are still plenty of these kinds of experienced developers in the US.
When I turn the brakes on my train why doesn't it stop instantly?
The other thing is that regulations and tax related employment agreements between corporations and local governments are designed to prevent some offshoring of workers.
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