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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

#51

Post by thom »

airstrike wrote: post #19

OT: I’m not entirely sure why, but "agentic" sets my teeth on edge. I don't mind the concept, but the word itself has that hollow, buzzwordy flavor I associate with overblown LinkedIn jargon, particularly as it is not actually in the dictionary...unlike perfectly serviceable entries such as "versatile", "multifaceted" or "autonomous"

I'm personally very glad that the word has adhered itself to a bunch of AI stuff, because people had started talking about "living more agentically" which I found much more aggravating. Now if anyone states that out loud you immediately picture them walking into doors and misunderstanding simple questions, so it will hopefully die out.

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

#52

Post by lolinder »

geodel wrote: post #34
airstrike wrote: post #19

OT: I’m not entirely sure why, but "agentic" sets my teeth on edge. I don't mind the concept, but the word itself has that hollow, buzzwordy flavor I associate with overblown LinkedIn jargon, particularly as it is not actually in the dictionary...unlike perfectly serviceable entries such as "versatile", "multifaceted" or "autonomous"

Huh, all three words you mentioned as replacement are equally buzzwordy and I see them a lot in CVs while screen candidates for job interview.

They agree—they're saying that at least those buzzwords are in the dictionary, not that they'd be a good replacement for "agentic".

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

#53

Post by dagmx »

mupuff1234 wrote: post #28
dagmx wrote: post #14

Earlier quoted context omitted.

Regarding TPU’s, sure for the stuff that’s running on the cloud. However their on device TPUs lag behind the competition and Google still seem to struggle to move significant parts of Gemini to run on device as a result. Of course, Gemini is provided as a subscription service as well so perhaps they’re not incentivized to move things locally. I am curious if they’ll introduce something like Apple’s private cloud comp…

Majority of people want better performance, running locally is just a nice to have feature.

They’ll care though when they have to pay for it, or when they’re in an area with poor reception.

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

#56

Post by jonomacd »

echelon wrote: post #7

Gemini in search is answering so many of my search questions wrong. If I ask natural language yes/no questions, Gemini sometimes tells me outright lies with confidence. It also presents information as authoritative - locations, science facts, corporate ownership, geography - even when it's pure hallucination. Right at the top of Google search. edit: I can't find the most obnoxious offending queries, but here was one…

At first, this was true but now it has gotten pretty good. The times it gets things wrong are often not the models fault and just google searches fault.

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

#57

Post by pelorat »

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…

Well, compared to github copilot (paid), I think Gemini Free is actually better at writing non-archaic code.

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

#58

Post by dagmx »

whimsicalism wrote: post #20
dagmx wrote: post #14

Earlier quoted context omitted.

Regarding TPU’s, sure for the stuff that’s running on the cloud. However their on device TPUs lag behind the competition and Google still seem to struggle to move significant parts of Gemini to run on device as a result. Of course, Gemini is provided as a subscription service as well so perhaps they’re not incentivized to move things locally. I am curious if they’ll introduce something like Apple’s private cloud comp…

i don’t think they need to win the on device market. we need to separate inference and training - the real winners are those who have the training compute. you can always have other companies help with inference

At what point does the on device stuff eat into their market share though? As on device gets better, who will pay for cloud compute? Other than enterprise use.

I’m not saying on device will ever truly compete at quality, but I believe it’ll be good enough that most people don’t care to pay for cloud services.

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

#60

Post by mupuff1234 »

dagmx wrote: post #53
mupuff1234 wrote: post #28

Earlier quoted context omitted.

Majority of people want better performance, running locally is just a nice to have feature.

They’ll care though when they have to pay for it, or when they’re in an area with poor reception.

They pay to run it locally as well (more expensive hardware)

And sure, poor reception will be an issue, but most people would still absolutely take a helpful remote assistant over a dumb local assistant.

And you don't exactly see people complaining that they can't run Google/YouTube/etc locally.

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