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Gemini AI

deepmind.google

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Re: Gemini AI

#961

Post by seanhunter »

johnfn wrote: post #955
mahouk wrote: post #924

Earlier quoted context omitted.

> Does Gemini have a date cutoff at all? You can ask it. Here's what it responded with: > "Do you mean to ask if I have a cutoff date for the data I was trained on? If so, the answer is yes. My training data includes text and code from various sources, and the most recent data I was trained on was from July 2023."

But that can't be true - the thing I asked it about pixi.js is much more recent than that (October+).

That can be true if it is using “tools” [1] and/or retrieval augmented generation. Something doesn’t have to be in the training set for it to be returned to you and used in generation as long as the model knows that a particular tool will be useful in responding to a particular prompt.

[1] This is what people call plugins that provide additional context to a gpt model

Re: Gemini AI

#962

Post by kimixa »

stefandesu wrote: post #890
zamalek wrote: post #760

Earlier quoted context omitted.

The biggest advantage of Bard is the speed, it's practically instant. I asked: How would I go about creating a sandbox directory for a subordinate user (namespaced user with subuid - e.g. uid 100000), that can be deleted as the superior user (e.g. uid 1000)? I want this to be done without root permissions. Both said that it's impossible, which is the the generally accepted answer. I then added: I don't care about dat…

> How would I go about creating a sandbox directory for a subordinate user (namespaced user with subuid - e.g. uid 100000), that can be deleted as the superior user (e.g. uid 1000)? I want this to be done without root permissions. Off topic, but it feels so weird that this is not possible. I've run into this with rootless Docker recently.

You can make the "superior" user a member of the default group for the user, and set the umask of the sandboxed user to allow group write by default.

Though that doesn't help malicious/"odd" use cases that can just reset the umask, or otherwise remove the group permissions from the subuser's files.

Or just use posix ACLs? Though you may then need to disallow the subuser from just removing them, maybe through seccomp?

Re: Gemini AI

#963

Post by isaacfrond »

JCharante wrote: post #589
johnfn wrote: post #444

Very impressive! I noticed two really notable things right off the bat: 1. I asked it a question about a feature that TypeScript doesn't have[1]. GPT4 usually does not recognize that it's impossible (I've tried asking it a bunch of times, it gets it right with like 50% probability) and hallucinates an answer. Gemini correctly says that it's impossible. The impressive thing was that it then linked to the open GitHub i…

> 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

I have the impression that something was tweaked to reduce the likelihood of generating links. It used to be easy to get GTP to generate links. Just ask it to produce a list of sources. But it doesn't do that anymore.

Re: Gemini AI

#964

Post by robbomacrae »

freetanga wrote: post #590
dontupvoteme wrote: post #452

Earlier quoted context omitted.

He's not wrong. DeepMind spends time solving big scientific / large-scale problems such as those in genetics, material science or weather forecasting, and Google has untouchable resources such as all the books they've scanned (and already won court cases about) They do make OpenAI look like kids in that regard. There is far more to technology than public facing goods/products. It's probably in part due to the cultura…

While you are spot on, I cannot avoid thinking of 1996 or so. On one corner: IBM Deep Blue winning vs Kasparov. A world class giant with huge research experience. On the other corner, Google, a feisty newcomer, 2 years in their life, leveraging the tech to actually make something practical. Is Google the new IBM?

It's an interesting analogy. I think Googles problem is how disruptive this is to their core products monetization strategy. They have misaligned incentives in how quickly they want to push this tech out vs wait for it to be affordable with ads.

Whereas for OpenAI there are no such constraints.

Did IBM have research with impressive web reverse indexing tech that they didn't want to push to market because it would hurt their other business lines? It's not impossible... It could be as innocuous as discouraging some research engineer from such a project to focus on something more in line.

This is why I believe businesses should be absolutely willing to disrupt themselves if they want to avoid going the way of Nokia. I believe Apple should make a standalone apple watch that cannibalizes their iPhone business instead of tying it to and trying to prop up their iPhone business (ofc shareholders won't like it). Whilst this looks good from Google - I think they are still sandbagging.. why can't I use Bard inside of their other products instead of the silly export thing.

Re: Gemini AI

#965

Post by butlike »

spaceman_2020 wrote: post #594
milesward wrote: post #136

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

I'm legitimately starting to wonder what white collar workers will even do in 5-10 years. This just Year 1 of this stuff going mainstream. Careers are 25-30 years long. What will someone entering the workforce today even be doing in 2035?

Whatever you want, probably. Or put a different way: "what's a workforce?"

"We need to do a big calculation, so your HBO/Netflix might not work correctly for a little bit. These shouldn't be too frequent; but bear with us."

Go ride a bike, write some poetry, do something tactile with feeling. They're doing something, but after a certain threshold, us humans are going to have to take them at their word.

The graph of computational gain is going to go linear, quadratic, ^4, ^8, ^16... all the way until we get to it being a vertical line. A step function. It's not a bad thing, but it's going to require a perspective shift, I think.

Edit: I also think we should drop the "A" from "AI" ...just... "Intelligence."

Re: Gemini AI

#966

Post by butlike »

samr71 wrote: post #856
spaceman_2020 wrote: post #594

Earlier quoted context omitted.

I'm legitimately starting to wonder what white collar workers will even do in 5-10 years. This just Year 1 of this stuff going mainstream. Careers are 25-30 years long. What will someone entering the workforce today even be doing in 2035?

We're just gonna have UBI

Totally. I think UBI will be the "energy meter" of the future. Like in a video game. You get xxx dollars or whatever. Buy whatever you need, but the cap is to make sure you don't act foolish. Your UBI tank gets replenished every month, but if you blow it all on a new bicycle and kitchen upgrade for your house, you can't continue on to buy a bathroom renovation or whatever. You have to wait.

Re: Gemini AI

#967

Post by butlike »

Can we talk about civil rights at this point, cause I'm not too keen on carrying around the weight of what happened <=1960's again.

Re: Gemini AI

#968

Post by laacz »

alsodumb wrote: post #853
okish wrote: post #840

That plot is downright criminal https://imgur.com/a/GmbkDaz 86.4->89.8% = 1/3 of 89.8->90% ??? Great science + awful communication

It's just an UI issue. The plot looks fine (as in, correct Y-axis) when I opened the website on a landscape monitor.

No, it's not. On a large enough display zero axis is still somewhere near the basement. Proportions are not as bad, but still very much off.

Re: Gemini AI

#969

Post by tbalsam »

confused_boner wrote: post #738
tbalsam wrote: post #325

Apparently designed for mobile inference too, I've heard the weights on the nano model were quantized down to uint4. Will be exciting to see how all of that plays out in terms of 'LLMs on phones', going forward. People who know me know that I can be pretty curmudgeony about a lot of various technological things, but I really think that this could be a hard core paradigm shift in terms of mobile capabilities, lol. Lik…

Agree about the local models. I am very excited to see google assistant updates with the local models

Thank you confused_boner, I agree that this will be a very impactful update for our future.

Re: Gemini AI

#970

Post by M4v3R »

riscy wrote: post #624
dfbrown wrote: post #515

Earlier quoted context omitted.

How real is it though? This blog post says In this post, we’ll explore some of the prompting approaches we used in our Hands on with Gemini demo video. which makes it sound like they used text + image prompts and then acted them out in the video, as opposed to Gemini interpreting the video directly. https://developers.googleblog.com/2023/12/how-its-made-gemin...

After reading this blog post, that hands-on video is just straight-up lying to people. For the boxcar example, the narrator in the video says to Gemini: > Narrator: "Based on their design, which of these would go faster?" Without even specifying that those are cars! That was impressive to me, that it recognized the cars are going downhill _and_ could infer that in such a situation, aerodynamics matters. But the blog…

Out of curiosity I've asked GPT-4V the same questions:

    Prompt: [attached image of the post-it notes with sun and planets] Is this right order?
    GPT-4: The image you've uploaded shows three drawings on individual pieces of paper. From left to right, there's a drawing of the sun, then what appears to be Saturn, and lastly a drawing that resembles Earth. If the intention is to display these celestial objects by their proximity to the Sun, then the order should be the Sun, Earth, and then Saturn, as Earth is closer to the Sun than Saturn. Therefore, the current order is not correct. To correct the order, you should place the Earth drawing second, between the Sun and Saturn.

    Prompt: [attached the image of the two car drawings] Based on their design, which one would go faster?
    GPT-4: The image shows two drawings of vehicles on slopes. The one on the left appears to have a more traditional box-like design, while the one on the right has a streamlined design with a pointed front. Based on principles of physics and aerodynamics, the vehicle with the streamlined design (on the right) would likely go faster down the slope. Streamlining reduces air resistance (drag), allowing the vehicle to move more efficiently. The pointed front helps to cut through the air and minimize the drag force, which would result in higher speeds compared to the boxier design on the left, which would encounter more air resistance.
I'm actually pretty impressed how well it did with such basic prompts.
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