twa927
Joined 12 years ago
Joined 12 years ago
Note that it has beaten capitalism, making rational choices to increase earnings has lost to this AI dream.
This impression is mostly generated by your head, to be more specific - by the social pressure to "make a career" and to regard technical skills as inferior to management skills. I don't think it's real, I saw many old people working as programmers, and there will be many more because there are more programmers among the current 20-30 year-olds, compared to the older generations. Also there's simply many more technical jobs available and there won't be enough management positions available to allow the switch for everyone. And the pandemic looks also like a quite big factor in reducing the number of management jobs (it looks like you often can work as usual without all the managers...).
One tool I used was https://github.com/mnmelo/lazy_import but I'm not sure it's updated for Python 3.7/3.8.
That's my version to make it more "functional":
from itertools import cycle, islice
from operator import add
fizz = cycle(['', '', 'Fizz'])
buzz = cycle(['', '', '', '', 'Buzz'])
strings = map(add, fizz, buzz)
strings_or_nos = (s or i for i, s in enumerate(strings, start=1))
print(list(islice(strings_or_nos, 100)))Overall this is an interesting topic because contrary to popular opinion many athletes use nicotine and find that it increases their performance: Nicotine [...] use is widespread amongst professional team/strength sports (e.g. American football, ice hockey, wrestling, bobsleigh, gymnastics, rugby, skiing) whereby active consumption of nicotine and nicotine-containing substances in-competition occurs in approximately 25–50% of such athletes [1].
The meta-analysis [1] found that two studies observed an ergogenic effect, one an ergolytic with the remaining seven reporting no change.
So on-site teams also use Wikis/issue trackers/emails a lot. The difference is that instead of a face-to-face chat remote teams have to use Slack. Which is also largely used in on-site teams... So my point is that some of the modern IT offices already resemble a "co-working" space because all the tools are already digital, and all meaningful knowledge sharing already happens in the digital space.
This is wrong, code is the concrete "truth" being executed, the rest (plans, prompts, agent instructions) are just temporary artifacts used to generate the code. What's left is the code alone.
LLMs don't have any semantics, they can't execute anything with 100% certainty. So far programming languages are the only langugues that can do that.