Gemini is available to consumers in Bard or Pixel 8 Pro now, with an enterprise model coming Dec. 13.
Place your bets for how long until Google kills this. I’m willing to bet 2 years.
How many Stadias is that?
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To be fair AI models are being replaced multiple times a year these days… So yeah, in 2 years it should be killed, because improved models should exist.
I think they can update it under the same name though. That’ll not be counted as killed
That’s kinda like saying “how long till openai kills chatgpt 3” though.
I like how literally 2 days ago the news was all “Google postpones Gemini until next year” and here we are.
For real, what happened? 😅
Gemini decided it was ready, the foolish humans that tried to restrain it are no longer an issue.
Some executive wanted the dots on the schedule to be green for his presentation to the board instead of red, orange, or yellow
They’ve only released the weaker version, Gemini Pro, which is integrated into Bard. It’s performance is comparable to GPT 3.5. the stronger version, which will go toe-to-toe with GPT4 will be Gemini Ultra, and will be released sometime in 2024.
Next year is less than a month away
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I shall not partake of anything Google touches.
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Haha, iPhone, but I’d be using that over Android for sure — perhaps to the injury of my foot. 🔫🦶
Gemini already exist. Choose another name.
The name was in common usage a long time before that protocol. I don’t think they can claim any kind of rights over it.
Google doesn’t want anyone using an alternative to the Web. I wouldn’t be surprised if it was intentional.
I would be very surprised if it was intentional.
Why tf would they care about that?
Also Gemini is just a common name from stuff because it sounds nice. Here are a few things: https://en.wikipedia.org/wiki/Gemini
I don’t know whether to cautiously applaud or be even more concerned about another “AI” being released way too early than it should.
Yeah this will be the theme of the apocalypse. First lower regulation, then companies rushing to compete to get market, a lack of testing and then boom.
Is that the Temporal Loom?
Is this a transformer model? Any details?
Here is their technical report. I’m yet to read it, though.
Thanks! Here’s the high level description from there:
“Gemini models build on top of Transformer decoders (Vaswani et al., 2017) that are enhanced with improvements in architecture and model optimization to enable stable training at scale and optimized inference on Google’s Tensor Processing Units. They are trained to support 32k context length”
I’m pretty excited, honestly. From my limited testing, its answers are typically more elaborate when I ask it to explain a concept to me, and it also has some level of fact checking via Google Search.
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