Jesus Michał "Le Sigh" 🏔 (he)When you drop the dependency on #chardet over the #AI #slop release… and replace it with your own slop.
https://github.com/binaryornot/binaryornot/blob/main/CHANGELOG/v0.5.0.md
mirabilos@mgorny hmm, doesn’t look like slop to me. All sources included, creates a minimal model as decision tree, the output is readable py3k and auditable due to the comments. The tweaks are likely the evaluation order and the exact ratios to flip at.
@mirabilos, I wasn't sure either but there's a lot of small stuff that adds up, like marketing style with all these numbers that just happen to be off.
Haelwenn /элвэн/ 
@mirabilos @mgorny Bit that's really weird is the amount done in barely 3 days together with extensive commit messages.
@mirabilos @mgorny Plus well https://github.com/binaryornot/binaryornot/blob/main/CHANGELOG/v0.6.0.md the next day.
Maybe it's me having RSI and preferring to take things slow but I don't think I'd want to write two long changelogs back-to-back for a weekend software.
Maybe it's me having RSI and preferring to take things slow but I don't think I'd want to write two long changelogs back-to-back for a weekend software.
@lanodan @mgorny I can see most of this with having developed 90% of it in a private repo and then applying the changes peu à peu to the public structure.
But the changelogs (and two releases back-to-back)…
… maybe if I were still in my early twenties, I could and would do that.
Still leaning slightly towards benefit of doubt.
@mirabilos @mgorny Yeah I wouldn't say it's outright slop as I haven't seen 100% sure indicators but there's quite few strong ones, like would see what happens in a week/month to be sure.
xrvsher github profile mentions coding with AI so that’s another indicator
@mirabilos @xarvos @mgorny Yeah although that's more like expert-system era of AI™, no? (AI annoyingly very much seems to be a moving definition)
At least it reminds me of stuff like gperf.
At least it reminds me of stuff like gperf.