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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

#242
post #39

Earlier quoted context omitted.

I've been using Gemini Flash for free through the API using Cline for VS Code. I switch between Claude and Gemini Flash, using Claude for more complicated tasks. Hope that the 2.0 model comes closer to Claude for coding.

Or… just continue using Claude?

Claude is ridiculously expensive and often subject to rate limiting.

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

#243
Does anyone know how to sign up to the speech output wait list or tester program? I have a decent spent with GCP over the years if that helps at all. Really want DemoTime videos to use those voices. (I like how truly incredible best in the world tts is like a footnote in this larger announcement.)

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

#245
post #72

Earlier quoted context omitted.

> i don’t think they need to win the on device market. The second Apple comes out with strong on-device AI - and it very much looks like they will - Google will have to respond on Android. They can't just sit and pray that e.g. Samsung makes a competitive chip for this purpose.

I think Apple is uniquely disadvantaged in the AI race to a point people dont realize. They have less training data to use, having famously been focused on privacy for its users and thus having no particular advantage in this space due to not having customer data to train on. They have little to no cloud business, and while they operate a couple of services for their users, they do not have the infrastructure scale t…

yeah i’ve never understood the outsized optimism for apple’s ai strategy, especially on hn.

they’re a little bit less of a nobody than they used to be, but they’re basically a nobody when it comes to frontier research/scaling. and the best model matters way more than on-device which can always just be distilled later and find some random startup/chipco to do inference

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

#246
post #161

Earlier quoted context omitted.

Sorry, what's wrong with these phrases?

> all of our products — including all 7 of them All the products including all the products?

The meme of LLM generated content is that it's verbose and formal, not that it's poorly written.

It's why the quoted text is obviously written by a human.

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

#247
post #227
post #16

Am I alone in thinking the word “agentic” is dumb as shit? Most of these things seem to just be a system prompt and a tool that get invoked as part of a pipeline. They’re hardly “agents”. They’re modules.

Gemini, too, for the sole reason that non-native speakers have no clue how to pronounce it.

Also, people at NASA pronounce it two ways, even native speakers of English.

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

#248
At least when it comes to Go code, I'm pretty impressed by the results so far. It's also pretty good at following directions, which is a problem I have with open source models, and seems to use or handle Claude's XML output very well.

Overall, especially seeing as I haven't paid a dime to use the API yet, I'm pretty impressed.

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

#249
post #161

Earlier quoted context omitted.

> all of our products — including all 7 of them All the products including all the products?

The meme of LLM generated content is that it's verbose and formal, not that it's poorly written. It's why the quoted text is obviously written by a human.

There's no law that says LLM generated text has to bad in a singular way

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

#250
post #210

Earlier quoted context omitted.

Besides Silverlight (which was supported all the way until the end of 2021!), you can still not only run but _write new applications_ using all of the listed technologies.

That doesn't constitute support when it comes to development platforms. They've not received any updates in years or decades. What they've done is simply not remove the capability build capability from the toolchains. That is, not even the work that would be required to no longer support them in any way. Compare that to C#, which has evolved rapidly over the same time period.

That's different from "killing" the product / technology, which is what Google does.
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