[jna_sh]

> The amount of training data doesn’t matter as much as we thought.

Seems a huge assumption to me. From the data one could equally conclude that JavaScript and Python have lower code quality _because_ the quantity of training data, e.g. more code written by less experienced developers

[zephen]

Don't worry! It'll only get better, as the amount of ouroboros training data explodes.

Weren't we taught that recycling is good?

[dormento]

Seems to be that just like scrum, AI eventually turns terrible code into passable code, and good code into passable code.

We're getting drowned by "good enough". Not "good" mind you, just "good enough".

[zephen]

> Seems to be that just like scrum

Any methodology or tool, really. Eventually, we're all just participating in cargo cults.

https://en.wikipedia.org/wiki/Regression_toward_the_mean

[bsder]

> Don't worry! It'll only get better, as the amount of ouroboros training data explodes.

Well, the AI can at least be constrained to "the code actually compiles, runs, and produces the correct output."

The number of internet answers that can't pass that bar is distressingly high.

[zephen]

> "the code actually compiles, runs, and produces the correct output."

I mean, I guess I interpreted the chart in tfa to indicate that this doesn't always happen.

[mbonnet]

in order, is is best to reduce, reuse, THEN recycle.

[zephen]

Thank you. Correct ordering is, indeed, important.

For example, "burn, then rape, pillage, and plunder" never works out quite right.