201–210 of 512 posts
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> all of our products — including all 7 of them All the products including all the products?
Why did you specifically ignore the remainder of the sentence? "...all of our products — including all 7 of them with 2 billion users..." It tells people that 7 of their products have 2b users.
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> 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…
Yes. Imagine Google banning your entire Google account / Gmail because you violated their gray area AI terms ([1] or [2]). Or, one of your users did via an app you made using an API key and their models. With that being said, I am extremely bullish on Google AI for a long time. I imagine they land at being the best and cheapest for the foreseeable future. [1] https://policies.google.com/terms/generative-ai [2] https:…
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…
Interesting theory!
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Yes. Imagine Google banning your entire Google account / Gmail because you violated their gray area AI terms ([1] or [2]). Or, one of your users did via an app you made using an API key and their models. With that being said, I am extremely bullish on Google AI for a long time. I imagine they land at being the best and cheapest for the foreseeable future. [1] https://policies.google.com/terms/generative-ai [2] https:…
For me that is a reason for not touching anything from Google for building stuff. I can afford lossing my Amazon account, but Google's one would be too much. At least they should be clear in their terms that getting banned at cloud doesn't mean getting banned from Gmail/Docs/Photos...
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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
> 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.
If anything, I think the upcoming iOS AI update will bring them to a similar level as android/google.
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…
>> 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.
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…
> Some pelicans have white on their heads, suggesting that some of them are older birds. Interesting theory!
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> 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.