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Gemini AI

deepmind.google

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Re: Gemini AI

#261

Post by pphysch »

behnamoh wrote: post #245
ilaksh wrote: post #58

Earlier quoted context omitted.

That's for Ultra right? Which is an amazing accomplishment, but it sounds like I won't be able to access it for months. If I'm lucky.

I hate this "tierification" of products into categories: normal, pro, max, ultra Apple does this and it's obvious that they do it to use the "decoy effect" when customers want to shop. Why purchase a measly regular iPhone when you can spend a little more and get the Pro version? But when it comes to AI, this tierification only leads to disappointment—everyone expects the best models from the FAANGO (including OpenAI)…

This isn't "tierificaton" or even premiumization. That may come later.

Large AI models have tight resources requirements. You physically can't use X billion parameters without ~X billion ~bytes of memory.

It makes complete sense to have these 3 "tiers". You have a max capability option, a price-performance scaling option, and an edge compute option.

Re: Gemini AI

#263

Post by sdevp »

logicchains wrote: post #94

Interesting that they're announcing Ultra many months in advance of the actual public release. Isn't that just giving OpenAI a timeline for when they need to release GPT5? Google aren't going to gain much market share from a model competitive with GPT4 if GPT5 is already available.

Google wants to get ahead of the news and generate hype for their product away from OpenAI. If they waited till the actual launch to announce this news, OpenAI will again capture all the publicity with GPT5.

Re: Gemini AI

#264

Post by dghughes »

zaptheimpaler wrote: post #34

Bard still not available in Canada so i can't use it ¯\_(ツ)_/¯. Wonder why Google is the only one that can't release their model here.

I'm in Canada too I just fired up Tunnel Bear VPN and was able to see bard OK.

But yeah weird we are usually lumped in with the US market.

Re: Gemini AI

#265

Post by dom96 »

freedomben wrote: post #161

There's a great Mark Rober video of him testing out Gemini with Bard and pushing it to pretty enteraining limits: https://www.youtube.com/watch?v=mHZSrtl4zX0

This is cool... but it was disappointing to see Bard immediately prompted about the low pressure, presumably Bard isn't smart enough to suggest it as the cause of the stall itself.

Re: Gemini AI

#266

Post by hinkley »

tikkun wrote: post #60

One observation: Sundar's comments in the main video seem like he's trying to communicate "we've been doing this ai stuff since you (other AI companies) were little babies" - to me this comes off kind of badly, like it's trying too hard to emphasize how long they've been doing AI (which is a weird look when the currently publicly available SOTA model is made by OpenAI, not Google). A better look would simply be to sh…

Sundar studied material science in school and is only slightly older than me. Google is a little over 25 years old. I guarantee you they have not been doing AI since I was a baby.

And how many financial people worth reconning with are under 30 years old? Not many.

Re: Gemini AI

#267

Post by ACS_Solver »

milesward wrote: post #136

This demo is nuts: https://youtu.be/UIZAiXYceBI?si=8ELqSinKHdlGlNpX

To quote Gemini, what the quack! Even with the understanding that these are handpicked interactions that are likely to be among the system's best responses, that is an extremely impressive level of understanding and reasoning.

Re: Gemini AI

#268

Post by ren_engineer »

phillipcarter wrote: post #2

> Starting on December 13, developers and enterprise customers can access Gemini Pro via the Gemini API in Google AI Studio or Google Cloud Vertex AI. Excited to give this a spin. There will be rough edges, yes, but it's always exciting to have new toys that do better (or worse) in various ways.

Gemini Pro is only GPT3.5 tier according to the benchmarks, so unless they make it extremely cheap I don't see much value in even playing around with it

Re: Gemini AI

#269

Post by kietay »

kartoolOz wrote: post #190

Technical report: https://storage.googleapis.com/deepmind-media/gemini/gemini_... Nano-2 is 3.25b, and as per figure 3, nano-2 is roughly 0.6-0.8 as good as pro, and ultra is 1.05-1.3 as good as pro. Roughly that should put gemini ultra in the sub 100b range?

Those calculations definitely do not scale linearly
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