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Gemini AI

deepmind.google

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Re: Gemini AI

#661

Post by FartyMcFarter »

ithkuil wrote: post #652
SeanAnderson wrote: post #340

Gemini Ultra isn't released yet and is months away still. Bard w/ Gemini Pro isn't available in Europe and isn't multi-modal, https://support.google.com/bard/answer/14294096 No public stats on Gemini Pro. (I'm wrong. Pro stats not on website, but tucked in a paper - https://storage.googleapis.com/deepmind-media/gemini/gemini_... ) I feel this is overstated hype. There is no competitor to GPT-4 being released today. I…

Why do they gate access at country level if it's about language. I live in Europe and speak English just fine. Can't they just offer it in English only until the multi-language support is ready?

Could be a legal issue, privacy or whatnot.

Re: Gemini AI

#662

Post by nolist_policy »

jonplackett wrote: post #626
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…

I find this video really freaky. It’s like Gemini is a baby or very young child and also a massively know it all adult that just can’t help telling how clever it is and showing off its knowledge. People speak of the uncanny valley in terms of appearance. I am getting this from Gemini. It’s sort of impressive but feels freaky at the same time. Is it just me?

https://www.youtube.com/watch?v=PJgo3BBgWDA

Re: Gemini AI

#663

Post by pradn »

atleastoptimal wrote: post #373
mensetmanusman wrote: post #349

Earlier quoted context omitted.

OpenAI had an almost five-year head-start with relevant data acquisition and sorting, which is the most important part of these models.

Google has the biggest proprietary moat of information of any company in the world I'm sure.

No, Google is on a more level playing field than you think. It certainly can't train on enterprise data, and of course not on private user data like emails. Cross-division data sharing is tough as well, because regulators don't like it for anti-monopoly reasons. OpenAI can scrape YouTube all it wants, but DeepMind may not be able to just train against all of YouTube just like that.

We might soon get to a point where every player is using pretty much all the low-cost data there is. Everyone will use all the public internet data there is, augmented by as much private datasets as they can afford.

The improvements we can expect to see in the next few years look like a Drake equation.

LLM performance delta = data quality x data quantity x transformer architecture tweaks x compute cost x talent x time.

The ceiling for the cost parameters in this equation are determined by expected market opportunity, at the margin - how much more of the market can you capture if you have the better tech.

Re: Gemini AI

#664

Post by varenc »

NavinF wrote: post #634
jug wrote: post #585

Earlier quoted context omitted.

I think it’s so strange how Pro wasn’t launched for Bard in Europe yet. I thought Bard was already cleared for EU use following their lengthy delay, and that this clearance wouldn’t be a recurring issue to overcome for each new underlying language model. Unless it’s technically hard to NOT train it on your data or whatever. Weird.

I suspect this is because inference is very expensive (much like GPT-4) and their expected ARPU (average revenue per user) in Europe is just not high enough to be worth the cost. See disposable income per capita (in PPP dollars): https://en.m.wikipedia.org/wiki/Disposable_household_and_per...

They are releasing Bard with Gemini in many countries with a much lower income per capita than the average European country: https://support.google.com/bard/answer/14294096

My guess is the delay is due to GDPR or other regulatory challenges.

Re: Gemini AI

#665

Post by smaudet »

dingnuts wrote: post #622
JCharante wrote: post #589

Earlier quoted context omitted.

> I've never seen GPT4 produce a link, other than when it's in web-browsing mode, which I find to be slower and less accurate. Really? I've been using gpt4 since about April and it used to very often create links for me. I'll tell it hey I want to find a company that does X in Y city and it generates 5 links for me, and at least one of them is usually real and not hallucinated

It's amazing to me how low the bar is for AI to impress people. Really, 80% of the links were hallucinated, and that's somehow more useful than Kagi for [checks notes] finding real links? Can you imagine if you did a search on Google and 80% of the results weren't even real websites? We'd all still be using AltaVista! What on earth kind of standard is "1/5 results actually exist!" -- no comment on whether the 1/5 rea…

Google CEO wants to "make it useful" to everyone, however until its off the internet, it will never be possibly useful to me...

Re: Gemini AI

#666

Post by m3kw9 »

I did another simple coding question between bard with gemeni upgrade and gpt4, it does not give me correct code, in fact completely wrong. Like hallucinates with calls from non existing libs, while gpt4 got it right with exact same prompt.

It's more on the level of GPT3.5 maybe not even.

Re: Gemini AI

#667

Post by kkkkkkk »

refulgentis wrote: post #632
foobar_______ wrote: post #503

Earlier quoted context omitted.

Agreed. The whole things reeks of being desperate. Half the video is jerking themselves off that they've done AI longer than anyone and they "release" (not actually available in most countries) a model that is only marginally better than the current GPT4 in cherry-picked metrics after nearly a year of lead-time?!?! That's your response? Ouch.

I worked at Google up through 8 weeks ago and knew there _had_ to be a trick -- You know those stats they're quoting for beating GPT-4 and humans? (both are barely beaten) They're doing K = 32 chain of thought. That means running an _entire self-talk conversation 32 times_. Source: https://storage.googleapis.com/deepmind-media/gemini/gemini_... , section 5.1.1 paragraph 2

where are you seeing that 32-shot vs 1-shot comparison drawn? in the pdf you linked it seems like they run it various times using the same technique on both models and just pick the technique which gemini most wins using.

Re: Gemini AI

#668

Post by pradn »

dougmwne wrote: post #297
norir wrote: post #256

This announcement makes we wonder if we are approaching a plateau in these systems. They are essentially claiming close to parity with gpt-4, not a spectacular new breakthrough. If I had something significantly better in the works, I'd either release it or hold my fire until it was ready. I wouldn't let openai drive my decision making, which is what this looks like from my perspective. Their top line claim is they ar…

I don’t think we can declare a plateau just based on this. Actually, given that we have nothing but benchmarks and cherry picked examples, I would not be so quick to believe GPT-4V has been bested. PALM-2 was generally useless and plagued by hallucinations in my experience with Bard. It’ll be several months till Gemini Pro is even available. We also don’t know basic facts like the number of parameters or training set…

> It’ll be several months till Gemini Pro is even available.

Pro is available now - Ultra will take a few months to arrive.

Re: Gemini AI

#669

Post by ckl1810 »

How many of these implementation are strict, narrow implementation just to show that Google is better than OpenAI for the investor community?

E.g. In a similar vein within Silicon Chip. The same move that Qualcomm tried to do with Snapdragon 8cx Gen 4 over M2. Then 1 week later, Apple came out with M3. And at least with processors, they seem to me marginal, and the launch cadence from these companies just gets us glued to the news, when in fact they have performance spec'ed out 5 years from now, and theoretically ready to launch.

Re: Gemini AI

#670

Post by [deleted] »

NavinF wrote: post #634
jug wrote: post #585

Earlier quoted context omitted.

I think it’s so strange how Pro wasn’t launched for Bard in Europe yet. I thought Bard was already cleared for EU use following their lengthy delay, and that this clearance wouldn’t be a recurring issue to overcome for each new underlying language model. Unless it’s technically hard to NOT train it on your data or whatever. Weird.

I suspect this is because inference is very expensive (much like GPT-4) and their expected ARPU (average revenue per user) in Europe is just not high enough to be worth the cost. See disposable income per capita (in PPP dollars): https://en.m.wikipedia.org/wiki/Disposable_household_and_per...

[deleted]
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