311–320 of 699 posts
"available to trusted defenders through our new Fairwind Program" Then why even bother announcing this? Ordinary people can use K3 and GLM 5.3 or whatever drops next and avoid all this hassle.
"Valgrind is only available to trusted defenders in our new UnfairAdvantage program"
I don't know if Google is having the worst marketing fumble or the most genius marketing one. Their "flash" models are very comparable to other companies' "pro" or "flagship" models. It seems to be a quite counterintuitive naming convention as it undersells the models. Unless they have an even more powerful Gemini Pro in the oven...?
I think about Google is the value you get of their plans, for 5$ a month you get their ai plus model combined with 400gb you can share this with your family. The other ai companies don't provide family plans
People have been sleeping on Gemini lately but these last few Flash releases (which were very rapid) are damn good. These sort of fast and cheap models are great for tasks that are verifiable and can be retried infinitely (like coding), you can basically get frontier results with a good harness (at a fraction of the time and money).
The speed combined with the fact that this thing is really good at HTML JavaScript is pretty exciting. Here's what I got for 1.8 cents and 13 seconds from the prompt "make me a cool thing in html": https://gisthost.github.io/?6a77bc41a81718c6aaa10d4ab243c59f Transcript here (it was part of a chat): https://gist.github.com/simonw/b6149a49d327164d67d62c3d12992...
Mission accomplished. That's both cool and fast.
The speed combined with the fact that this thing is really good at HTML JavaScript is pretty exciting. Here's what I got for 1.8 cents and 13 seconds from the prompt "make me a cool thing in html": https://gisthost.github.io/?6a77bc41a81718c6aaa10d4ab243c59f Transcript here (it was part of a chat): https://gist.github.com/simonw/b6149a49d327164d67d62c3d12992...
Focus on speed and being OK with temporarily being #3/4 in intelligence might be the counterintuitive approach which makes Google win long term (whether accidentally or strategically). Can't wait to try Gemini Pro later this year!
Gemini 3.7 flash outputs so many tokens per answer it doesn't matter how fast its TPS is, sol will end up being both cheaper and faster than Gemini. So ppl are paying more for a given task, waiting longer and using a dumber intelligence because "TPS number shiny".
Gemini 3.8 outputs 11k more tokens PER TASK on average in AAII than 3.7 putting it dead last in output tokens per task in the leaderboard.
People have been sleeping on Gemini lately but these last few Flash releases (which were very rapid) are damn good. These sort of fast and cheap models are great for tasks that are verifiable and can be retried infinitely (like coding), you can basically get frontier results with a good harness (at a fraction of the time and money).
As someone who has stubbornly stuck with Claude Code, what's a good harness for Gemini models?
Earlier quoted context omitted.
This is in comparison to Fable: > https://tools.simonwillison.net/markdown-svg-renderer?url=ht... > Took just under 14 minutes to generate, and at 65927 output tokens cost me a hefty $3.30! So 50x cheaper - and how much faster?
The Gemini models have openly trained for SVG output, apparently with a specialism on animals in forms of transport! https://twitter.com/JeffDean/status/2024525132266688757
It saw the fish in the basket from some other previous attempt but completely missed the gap between the tires and the rims where the background shines through (now it knows after scraping this comment and watch the next transcript).
"available to trusted defenders through our new Fairwind Program" Then why even bother announcing this? Ordinary people can use K3 and GLM 5.3 or whatever drops next and avoid all this hassle.