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Gemini 2.0: our new AI model for the agentic era

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Re: Gemini 2.0: our new AI model for the agentic era

#391

Post by [deleted] »

pkkkzip wrote: post #259
serjester wrote: post #183

Buried in the announcement is the real gem — they’re releasing a new SDK that actually looks like it follows modern best practices. Could be a game-changer for usability. They’ve had OpenAI-compatible endpoints for a while, but it’s never been clear how serious they were about supporting them long-term. Nice to see another option showing up. For reference, their main repo (not kidding) recommends setting up a Kuberne…

its interesting that just as the LLM hype appears to be simmering down, DeepMind is making big strides. I'm more excited by this than any of OpenAI's announcements.

[deleted]

Re: Gemini 2.0: our new AI model for the agentic era

#392

Post by littlestymaar »

Brotkrumen wrote: post #387
modeless wrote: post #383

https://aistudio.google.com/live is by far the coolest thing here. You can just go there and share your screen or camera and have a running live voice conversation with Gemini about anything you're looking at. As much as you want, for free. I just tried having it teach me how to use Blender. It seems like it could actually be super helpful for beginners, as it has decent knowledge of the toolbars and keyboard shortcu…

Sounds interesting, but voice input isn't working for me there. I guess I'm too niche with my Mac and Firefox setup.

This isnt entierly suprising as Google have been breaking things artificially on Firefox for years now (Google Map and YouTube at least). Maybe try spoofing Chrome's user-agent.

Re: Gemini 2.0: our new AI model for the agentic era

#395

Post by lngnmn2 »

simonw wrote: post #113

I released a new llm-gemini plugin with support for the Gemini 2.0 Flash model, here's how to use that in the terminal: llm install -U llm-gemini llm -m gemini-2.0-flash-exp 'prompt goes here' LLM installation: https://llm.datasette.io/en/stable/setup.html Worth noting that the Gemini models have the ability to write and then execute Python code. I tried that like this: llm -m gemini-2.0-flash-exp -o code_execution 1…

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Re: Gemini 2.0: our new AI model for the agentic era

#396

Post by portaouflop »

mentalgear wrote: post #389
Brotkrumen wrote: post #387

Earlier quoted context omitted.

Sounds interesting, but voice input isn't working for me there. I guess I'm too niche with my Mac and Firefox setup.

Actually plenty of tech people are using mac & firefox

Irony detectors malfunctioning perhaps?

Re: Gemini 2.0: our new AI model for the agentic era

#397

Post by sky2224 »

modeless wrote: post #383

https://aistudio.google.com/live is by far the coolest thing here. You can just go there and share your screen or camera and have a running live voice conversation with Gemini about anything you're looking at. As much as you want, for free. I just tried having it teach me how to use Blender. It seems like it could actually be super helpful for beginners, as it has decent knowledge of the toolbars and keyboard shortcu…

THIS is the thing I'm excited for with AI.

I'm someone that becomes about 5x more productive when I have a person watching or just checking in on me (even if they're just hovering there).

Having AI to basically be that "parent" to kick me into gear would be so helpful. 90% of the time my problems are because I need someone to help keep the gears turning for me, but there isn't always someone available. This has the potential to be a person that's always available.

Re: Gemini 2.0: our new AI model for the agentic era

#398

Post by jcheng »

redrix wrote: post #338
serjester wrote: post #183

Buried in the announcement is the real gem — they’re releasing a new SDK that actually looks like it follows modern best practices. Could be a game-changer for usability. They’ve had OpenAI-compatible endpoints for a while, but it’s never been clear how serious they were about supporting them long-term. Nice to see another option showing up. For reference, their main repo (not kidding) recommends setting up a Kuberne…

Oh wow, it supports directly specifying a Pydantic model as an output schema that it will adhere to for structured JSON output. That’s fantastic! https://github.com/googleapis/python-genai?tab=readme-ov-fil...

FYI all the LLM Python SDKs that support structured output can use Pydantic for the schema—at least all the ones I can think of.

Re: Gemini 2.0: our new AI model for the agentic era

#399

Post by sky2224 »

crowcroft wrote: post #15

Big companies can be slow to pivot, and Google has been famously bad at getting people aligned and driving in one direction. But, once they do get moving in the right direction the can achieve things that smaller companies can't. Google has an insane amount of talent in this space, and seems to be getting the right results from that now. Remains to be seen how well they will be able to productize and market, but hard…

Maybe I've just hit a streak of good outputs, but I've also been noticing the automatic gemini search when doing google searches to have been significantly more useful than it was previously.

About a year ago, I was saying that Google was potentially walking toward its own grave due to not having any pivots that rivaled OpenAI. Now, I'm starting to think they've found the first few steps toward an incredible stride.

Re: Gemini 2.0: our new AI model for the agentic era

#400

Post by menaerus »

whimsicalism wrote: post #301
menaerus wrote: post #261

Earlier quoted context omitted.

Each GPU costs ~50k. You need at least 8 of them to run mid-sized models. Then you need a server to plug those GPUs into. That's not commodity hardware.

more like ~$16k for 16 3090s. AMD chips can also run these models. The parts are expensive but there is a competitive market in processors that can do LLM inference. Less so in training.

> more like ~$16k for 16 3090s

I don't know where did you get that price from but 1x RTX 3090 is $1,900. 16x is ~$30,000.

> The parts are expensive

Now that we invested ~$30k in GPUs, we only need to find a motherboard that can accommodate 16x pcie4 x16 GPUs, right? And we also need a CPU that can drive that many pcie4 x16 lanes?

Well, none of them exist, not even in the server parts sector let alone client commodity hardware. In any case, you'd need two CPUs so even with this imaginary motherboard we are already entering the server rack design space. And that costs 100's of thousands of $$$.

> but there is a competitive market in processors that can do LLM inference

Nothing but the smallest and smallish models. If that existed then why would you set yourself out building a 16x RTX 3090 machine?

Sorry, but you're just spitting out non-sense.

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