@eviltrout @jasongorman the tortoise knows exactly what it's doing, you can see from the image that it's a two-row keyboard, probably a wicked custom chord-based keyboard with macros out the wazzoo.
actually, come to think of it, could be steno typing!
in any case, the tortoise is hard core flexing on the rabbit here "i don't even have to look at my screen most of the time to know what's happening" meanwhile the rabbit is grinning ear to ear, probably enjoying the dopamine rush of seeing whether the prompt gives something that works or not, and prepared to "pull the lever" again.
meanwhile, poor tortoise is probably being assaulted by incredible opinions from rabbit over here and has to resist the temptation to explain all the mistakes, but when you're actually doing work, and trying to get done in a reasonable time, it just wouldn't do to be sidetracked into a lecture on why "you can't just verify a person's name" ...
anyway, that's my rabbit-hare-code-competition fanfic
@timotimo @eviltrout @jasongorman
The turtle doesn't have to use the screen because they've got their own shell.
I'll get my coat.
@timotimo
"You can't just verify a person's name"
Say that to all the sites who say my last name is invalid.
@jasongorman Ah, so Google's applications are written by a mindless token generator and overseen by individuals whose level of media literacy falters at a simple children's story, the moral of which is typically explicitly stated to the listener at the end in six words.
Yes, that all checks out.
@jasongorman also like... google's products have been notoriously bad for a long while so I dont think that's a good metric to compare against
if they didn't already have market saturation from their pre-LLM work, their current output would be failures
@jasongorman OP is referencing this 2024 article from google :
research.google/blog/ai-in-software-engineering-at-google-progress-and-the-path-ahead/
The line he appears to be getting the 50% figure from states:
"with an acceptance rate by software engineers of 37%[1] assisting in the completion of 50% of code characters"
Even ignoring the hilarity of how applicable the tortoise and the hare parable is in this instance, they are still basically saying "my vibe coding is faster than someone who can't even use a computer, their screen is behind them and their keyboard is upsidedown".
This is like some kind of subconscious tell. Good lord. Is kindergarten-level literacy dead?
I would love to see a redraw of this image for use with various essays critical of AI... because that's what it's giving.
This is on par with people defending police corruption as being "just a few bad apples" (a few bad apples what exactly? Finish the sentence)
@gbargoud @futurebird @jasongorman
...spoils the whole bunch
God. The bootstraps things drives me nuts. The whole point is that it's nearly impossible, circular.
Though, now "bootstraps" makes me think of systems design first and everything else second.
@jasongorman Aside from obvious ignorance of one of the most famous children's stories of all time, I notice the original comment implies that coders not using LLMs are spending more time proofreading the code, and what I've heard from developers is that any time saved by using LLMs to generate code is less than is lost in additional review and revision time.
So the implication is either the poster wasn't aware of that, or worse, is just committing code without properly reviewing it.