351–360 of 951 posts
Pretty great pelican: https://simonwillison.net/2026/Feb/19/gemini-31-pro/ - took over 5 minutes though, but I think that's because they're having performance teething problems on launch day.
Great pelican but what’s up with that fish in the basket?
It's obvious that pelican is riding long distance, no way a single fish is sufficiently energy dense for more than a few miles.
Can't the model do basic math???
blog post is up- https://blog.google/innovation-and-ai/models-and-research/ge... edit: biggest benchmark changes from 3 pro: arc-agi-2 score went from 31.1% -> 77.1% apex-agents score went from 18.4% -> 33.5%
The touted SVG improvements make me excited for animated pelicans.
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What. You don't have yours ask for edit approval?
Who has time for that? This is how I run codex: `codex --sandbox danger-full-access --dangerously-bypass-approvals-and-sandbox --search exec "$PROMPT"`, having to approve each change would effectively destroy the entire point of using an agent, at least for me. Edit: obviously inside something so it doesn't have access to the rest of my system, but enough access to be useful.
What I don't have time to do is debug obvious slop.
Every time I've used Gemini models for anything besides code or agentic work they lean so far into the RLHF induced bold lettering and bullet point list barf that everything they output reads as if the model was talking _at_ me and not _with_ me. In my Openclaw experiment(s) and in the Gemini web UI, I've specifically added instructions to avoid this type of behavior, but it only seemed to obey those rules when I rem…
Seems like they actually fixed some of the problems with the model. Hallucinations rate seems to be much better. Seems like they also tuned the reasoning maybe that were they got most of the improvements from.
The hallucination rate with the Gemini family has always been my problem with them. Over the last year they’ve made a lot of progress catching the Gemini models up to/near the frontier in general capability and intelligence, but they still felt very late 2024 in terms of hallucination rate. Which made the Gemini models untrustworthy for anything remotely serious, at least in my eyes. If they’ve fixed this or at least…
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> increasing the number for such a minor change is not a move in the right direction A .1 model number increase seems reasonable for more than doubling ARC-AGI 2 score and increasing so many other benchmarks. What would you have named it?
My issue is that we haven't even gotten the release version of 3.0, that is also still in Preview, so may stick with 3.0 till that has been deemed stable. Basically, what does the word "Preview" mean, if newer releases happen before a Preview model is stable? In prior Google models, Preview meant that there'd still be updates and improvements to said model prior to full deployment, something we saw with 2.5. Now, the…
GMail was in "beta" for 5 years.
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I'm thinking now that as models get better and better at generating SVGs, there could be a point where we can use them to just make arbitrary UIs and interactive media with raw SVGs in realtime (like flash games).
Or quite literally a game where SVG assets are generated on the fly using this model
Which is the "left brain" approach vs the "right brain" approach of coming at dynamic videogames from the diffusion model direction which the Gemini Genie thing seems to be about.
I really want to use google’s models but they have the classic Google product problem that we all like to complain about. I am legit scared to login and use Gemini CLI because the last time I thought I was using my “free” account allowance via Google workspace. Ended up spending $10 before realizing it was API billing and the UI was so hard to figure out I gave up. I’m sure I can spend 20-40 more mins to sort this ou…