alt Hacker NewsAI models decompose problems down into tiny pieces that exist in their training data, so in a sense, you're correct.
Though that's also what makes humans so good at solving problems as well, it turns out.
Also, slight tangent: but I do find the "clanker" insult kind of funny. I feel like it counter-intuitively makes the models sound cooler than they are, if anything. I love clankin' shit.
Replies
wlonkly • yesterday at 10:17 PM
On one hand, "clanker" has good steampunk vibes.
On the other hand: "Stop trying to make 'clanker' happen! It's not going to happen!"
"AI slop" caught on but "clanker" did not.
➕ show 2 replies
The amount of computations for a human to do the same tasks is thousands of orders of magnitudes less. And when a human learns these things they usually remember how to, and are able to extrapolate that knowledge into new and fresh problem spaces. That is how the first person to run CPython in WASM did that, and that is why the plagarism machine can now do the same (only a thousand times more lame and uninspiring).
Next time you get a new and a fresh and an inspiring idea, and you spend hours solving a unique problem nobody has ever done before. You can take comfort in the fact that a few months later some lame and uninspiring developer can write the same problem in a prompt and get the plagiarism machine to steal your work, just in a more lame and uninspiring way.