whateveracct

7 ms·

61.
by whateveracct 1mo ago
from the downvotes, it seems that people do spend more time in Claude than I do meatcoding. "Efficiency gains" lol
62.
by whateveracct 1mo ago
should be a fun decade :)
63.
by whateveracct 1mo ago
> Now they can just prompt an agent for a few hours and open a PR. Bruh..I haven't consistently sat at my computer for even a hour at a time to code for a decade..people spend that much time in Claude??
64.
by whateveracct 1mo ago
Degrees take 4 years. It's a very laggy indicator.
65.
by whateveracct 1mo ago
AI is very good at making the bad dev's PR look plausible and be green in CI. And thus, merged.
66.
by whateveracct 1mo ago
that's troubling..
67.
by whateveracct 1mo ago
it is pretty clear in context given what i was responding to
68.
by whateveracct 1mo ago
It wasn't hard to just..figure it out though. One sitting tops. Claude is learned (taught? lol) helplessness, at scale. I'm pretty sure it's their real moat.
69.
by whateveracct 1mo ago
I have better things to do than read LLM prose copy-pasted verbatim too. And yet here we are. I have to read LLM design docs that turn into LLM PRs with LLM PR descriptions and comments and docs.
70.
by whateveracct 1mo ago
i definitely used to write bash functions for this sort of thing tho. no GUI, but it was useful to do stuff like obscure my working hours (make it look like i did personal stuff after-hours. make it seem like stuff took all day instead of a
71.
by whateveracct 1mo ago
but what about the writing English to describe it part? does English also have a notoriously overcomplicated interface lol
72.
by whateveracct 1mo ago
but if you were sharing those utilities - even in a github gist! - why not write the English parts for human consumption yourself?
73.
by whateveracct 1mo ago
why can't anyone just do things themselves anymore? it's all LLM crap
74.
by whateveracct 1mo ago
meta playing spoiler, yeah. fun stuff!
75.
by whateveracct 1mo ago
models are stuck in time. eventually the world moves forward and it is trained on too much obsolete data. training cannot end for LLMs intrinsically. it's not some fixed cost. it's an ongoing one.
76.
by whateveracct 1mo ago
Snowflake is a really amazing product. It's been a delight using it the last few years.
77.
by whateveracct 1mo ago
they write code faster too, which means things compound faster. i write pretty good code when i need or want to, yeah. sadly LLM code gives me a headache so the current psychosis standard has made work a bit painful. the codebases are becom
78.
by whateveracct 1mo ago
errors compound
79.
by whateveracct 1mo ago
the thing being disbanded is less than a year old
80.
by whateveracct 1mo ago
potemkin industry. jeez.
81.
by whateveracct 1mo ago
i type code by hand so emacs is also left :)
82.
by whateveracct 1mo ago
"making tradeoffs" is an excuse for management to cut corners to get their feature faster at the cost of future developer pain and suffering you know how japanese oni would roll human souls into soba noodles? [1] that's what
83.
by whateveracct 1mo ago
any 9s left?
84.
by whateveracct 1mo ago
okay so silicon valley won't happen all the way
85.
by whateveracct 1mo ago
haskell :)
86.
by whateveracct 1mo ago
is he okay? or is this unironic psychosis?
87.
by whateveracct 1mo ago
the author forgot you could also do a secret third thing: learn!
88.
by whateveracct 2mo ago
ah so they distilled fable and sol, eh?
89.
by whateveracct 2mo ago
right but type classes are basically vtables aka dictionary passing but the compiler figures out which dictionary to summon for you but the key is they build seamlessly on top of real parametric polymorphism. you still get a real "fora
90.
by whateveracct 2mo ago
You just do dictionary passing.

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