Earlier quoted context omitted.
>> hard to deny that their LLM models aren't really, really good though. The context window of Gemini 1.5 pro is incredibly large and it retains the memory of things in the middle of the window well. It is quite a game changer for RAG applications.
It looks like long context degraded from 1.5 to 2.0 according to the 2.0 launch benchmarks.
Gemini 2.0: our new AI model for the agentic era
371–380 of 512 posts
Re: Gemini 2.0: our new AI model for the agentic era
#372"What's the first name of Freddy LaStrange"? >> "I do not have enough information about that person to help with your request. I am a large language model, and I am able to communicate and generate human-like text in response to a wide range of prompts and questions, but my knowledge about this person is limited. Is there anything else I can do to help you with this request?"
(Of course, we can't be 100% sure that his first name is Freddy. But I would expect that to be part of the answer then)
Re: Gemini 2.0: our new AI model for the agentic era
#373Big 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…
Yet, google continues to show it'll deprecate it's APIs, Services, and Functionality at the detriment of your own business. I'm not sure enterprises will trust Google's LLM over the alternatives. Too many have been burned throughout the years, including GCP customers. The fact GCP needs to have this page, and these lists are not 100% comprehensive is telling enough. https://cloud.google.com/compute/docs/deprecations…
Some guy had to do it for Azure, then he went to work for them and it is now deprecated itself
https://blog.tomkerkhove.be/2023/03/29/sunsetting-azure-depr...
Re: Gemini 2.0: our new AI model for the agentic era
#374Earlier quoted context omitted.
> Remains to be seen how well they will be able to productize and market The challenge is trust. Google is one of the leaders in AI and are home to incredibly talented developers. But they also have an incredibly bad track record of supporting their products. It's hard to justify committing developers and money to a product when there's a good chance you'll just have to pivot again once they get bored. Say what you w…
> they also have an incredibly bad track record of supporting their products Incredibly bad track record of supporting products that don't grow . I'm not saying this to defend Google, I'm still (perhaps unreasonably) angry because of Reader, it's just that there is a pattern and AI isn't likely to fit that for a long while.
Like how many different instant messengers did they make at the same time only to abandon them all instead of just making one and supporting it?
Re: Gemini 2.0: our new AI model for the agentic era
#375Earlier quoted context omitted.
That's different from "killing" the product / technology, which is what Google does.
Only because they operate different businesses. Google is primarily a service provider. They have few software products that are not designed to integrate with their servers. Many of Microsoft's businesses work fundamentally differently. There's nothing Microsoft could do to Windows to disable all MFC applications and only MFC applications, and if there was it would involve more work than simply not doing anything el…
And even if C++/CX and C++/WinRT aren't that great, with worse tooling than MFC and in maintenance mode, you can easilly create an application with them today.
Hardly the same can be told of most Google technologies.
Re: Gemini 2.0: our new AI model for the agentic era
#376Earlier quoted context omitted.
Question: Have you tried using this for video? Alternately, if I wanted to pipe a bunch of screencaps into it and get one grand response, how would I do that? e.g. "Does the user perform a thumbs up gesture in any of these stills?" [edit: also, do you know the vision pricing? I couldn't find it easily]
Previous Gemini models worked really well for video, and this one can even handle steaming video: https://simonwillison.net/2024/Dec/11/gemini-2/#the-streamin...
Re: Gemini 2.0: our new AI model for the agentic era
#377Earlier quoted context omitted.
> they also have an incredibly bad track record of supporting their products Incredibly bad track record of supporting products that don't grow . I'm not saying this to defend Google, I'm still (perhaps unreasonably) angry because of Reader, it's just that there is a pattern and AI isn't likely to fit that for a long while.
I’m sad for reader but it was a somewhat niche product. Inbox I can’t forgive. It was insanely good and was killed because it was a threat to Gmail. My main issue with Google is that internal politic affects users all the time. See the debacle of anything built on top of Android and being treated as a second citizen. You can’t trust a company which can’t shield users from its internal politics. It means nothing is al…
Re: Gemini 2.0: our new AI model for the agentic era
#378Re: Gemini 2.0: our new AI model for the agentic era
#379Earlier quoted context omitted.
I’m sad for reader but it was a somewhat niche product. Inbox I can’t forgive. It was insanely good and was killed because it was a threat to Gmail. My main issue with Google is that internal politic affects users all the time. See the debacle of anything built on top of Android and being treated as a second citizen. You can’t trust a company which can’t shield users from its internal politics. It means nothing is al…
Google reader was killed because there was only one guy who knew how to support it
No, Reader was killed because it:
- was free
- didn't contribute to revenue growth from ads
Re: Gemini 2.0: our new AI model for the agentic era
#380Earlier quoted context omitted.
> Remains to be seen how well they will be able to productize and market The challenge is trust. Google is one of the leaders in AI and are home to incredibly talented developers. But they also have an incredibly bad track record of supporting their products. It's hard to justify committing developers and money to a product when there's a good chance you'll just have to pivot again once they get bored. Say what you w…
>Say what you will about Microsoft, but at least I can rely on their obsession with supporting outdated products. Eh... I don't know about that. Their tech graveyard isn't as populous as Google's, but it's hardly empty. A few that come to mind: ATL, MFC, Silverlight, UWP.