Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

Gemini 3.8 Flash and 3.8 Flash Cyber

blog.google

Post reply on HN
Print view View original

351–360 of 699 posts

Re: Gemini 3.8 Flash and 3.8 Flash Cyber

#351

Post by WarmWash »

bermudi wrote: post #317
heliosAtwork wrote: post #280

Earlier quoted context omitted.

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!

I honestly can't believe serious people are making this argument on a straight face. 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.…

AA isn't the only benchmark

https://deepswe.datacurve.ai/

Re: Gemini 3.8 Flash and 3.8 Flash Cyber

#352

Post by 654wak654 »

2001zhaozhao wrote: post #341

How generous is the Google subscription quotas compared to Anthropic and OpenAI? This sounds like a really good potential model for high volume due to its speed and cost effectiveness. (By high volume I mean things like "main app just updated with XYZ commits, please scan XYZ plugins and surface any compatibility issues")

I'm on the Ultra plan and use it for chat, antigravity, and some other work automations (similar to your example). The only time I've ever hit my limit is when I use Deep Think (which usually eats up 4-5% of the 6-hour usage limit per response).

Re: Gemini 3.8 Flash and 3.8 Flash Cyber

#354

Post by fc417fc802 »

altmanaltman wrote: post #250
dismalaf wrote: post #168

Earlier quoted context omitted.

> Real world knowledge For awhile now I've found Gemini will use Google search for pretty much any real world knowledge, which is a huge plus IMO. It's basically Google with a much better frontend and no ads/seo nonsense.

> basically Google with a much better frontend and no ads/seo nonsense so far

I think it already has them but it's much more subtle. Also useful. When I've made certain sorts of queries I've had the distinct impression that it was attempting to very gently steer the conversation with suggestions. But it was brief, still answered usefully, and didn't resist going in the direction I wanted. So a win-win tactic I guess.

For example find a beautiful landscape shot of a place that just so happens to be accessible to tourists and ask it something along the lines of identifying the location. IME it will noticably steer the conversation towards relevant commercial offerings and offer (entirely unprompted) to help plan a trip.

Or ask it about a certain category of product with some requirements and it will initially present (relevant) options that look like paid placement to my eye. But if you ask it's happy to go on to turn up lots of alternatives and enumerate tradeoffs.

Assuming I'm correct the subtlety is on par with product placement in movies. Certainly leagues better than the internet advertising we've suffered to date.

Re: Gemini 3.8 Flash and 3.8 Flash Cyber

#355

Post by WarmWash »

asdfologist wrote: post #231
mattlondon wrote: post #220

Earlier quoted context omitted.

Opus 5 medium has the same score as 3.8 flash on artificial analysis intelligence index. Are you implying Google or Artificial Analysis are reporting false numbers? What's your source?

BTW you're comparing 3.8 flash high to opus 5 medium. 3.8 flash medium scores lower.

Flash models are on the order of 1/10th the size of Opus models, so some flex in the thinking level is fair.

Re: Gemini 3.8 Flash and 3.8 Flash Cyber

#356

Post by WarmWash »

simonw wrote: post #97

The most interesting thing about the Gemini models is still their multi-modal support: they accept audio and video input, OpenAI and Anthropic's flagships are still image-only. Gemini Flash is also pretty cheap, so it's a great family for performing media analysis, like extracting structured data from images and video.

Lost in the news was their update to gemini video analysis yesterday, dramatically cutting tokens (up to 88%!) needed to analyze videos.

https://blog.google/innovation-and-ai/models-and-research/ge...

Re: Gemini 3.8 Flash and 3.8 Flash Cyber

#358

Post by yipinwong »

As a big proponent of GPT-5.6-Luna for the combination of speed/perf/(especially)price,

Flash 3.8 seems like where I can specify Flash3.8 as the coding model as part of agent workflow.

The video recognition is especially impressive as they got all of Youtube to train from.

- Def people who has to queue video recognition jobs to use the model.

Re: Gemini 3.8 Flash and 3.8 Flash Cyber

#360

Post by simonw »

JacobAsmuth wrote: post #304
simonw wrote: post #142

Earlier quoted context omitted.

Watch the video. It's from then-Gemini-lead Jeff Dean and the video shows off an animated pelican riding a bicycle, a frog on a penny-farthing, a giraffe driving a tiny car, an ostrich on roller skates, a turtle kickflipping a skateboard, and a dachshund driving a stretch limousine.

I'm confused. This doesn't mean they trained on it.

I didn't say trained on, I said "trained for SVG output". Gemini team members have publicly stated that they have trained for SVG:

https://twitter.com/sunjiao123sun_/status/202455551655137292...

> I’ve been developing the SVG generation capabilities for Gemini 3.1, and the complexity of the SVGs is stunning.

> This allows UX designers to transcend pixel constraints and directly output structural, production-ready code!

Post reply on HN