[simonw]

You and a few other people, but enough people still appreciate the bit that I'm going to keep doing it.

They're easy enough to skip - click the little "-" icon and you'll collapse the entire sub-thread.

[underdeserver]

+1. First thing I look for in a model announcement thread. I actually came across this one an hour ago and was sad there were no pelicans yet.

It's a decent heuristic because the better models generate better pelicans. That's all. Nobody sane is going to make a bet on a model based on a pelican. But it's cool, it's tradition by now, and it's a semblance of a good first impression for new models.

[jofzar]

Imo it's a very stupid test, and should not be used for model performance.

But you bet my ass I check everytime to have a look at see how that pelican looks, it's just a fun check and also interesting to see the cost/results.

[froh]

I love and appreciate you doing and sharing them, with stats and details.

thank you.

[fortydegrees]

Thank you for posting them (as well as all your other AI takes). It's appreciated here!

I feel like the human brain massively overweights negative feedback over positive, and that's even after accounting for the fact that internet discourse tends to mostly surface negative comments (whereas the enjoyers stay silent). By default I have to try hard not to take it personally whenever someone leaves a negative comment about my work.

So just doing my bit to say I appreciate your commentary on so much of the fast-evolving AI landscape. Helps me orient :)

[bubble_niter]

One only hopes "a few people" remains a comforting description.

Consensus has an unfortunate habit of beginning that way.

[simonw]

Have you created other burner accounts to reply to me in the past, or is this your first one?

[bubble_niter]

A tidy way to violate HNs "assume good faith, don't cross examine" rule.

And outrage at the unimpressed is.. a curious standard for a sponsored blogger.

[oaxacaoaxaca]

I love the pelican escapades.