it's really amazing how in IT we always recycle the same ten names... in the last three years, "gemini" refers (at least) to: - gemini protocol, the smolnet companion (gemini://geminiprotocol.net/ - https://geminiprotocol.net/ ) - gemini somethingcoin somethingcrypto (I will never link it) - gemini google's ML/AI (here we are)
Gemini AI
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Re: Gemini AI
#92Gemini Nano sounds like the most exciting part IMO. IIRC Several people in the recent Pixel 8 thread were saying that offloading to web APIs for functions like Magic Eraser was only temporary and could be replaced by on-device models at some point. Looks like this is the beginning of that.
Re: Gemini AI
#93it's really amazing how in IT we always recycle the same ten names... in the last three years, "gemini" refers (at least) to: - gemini protocol, the smolnet companion (gemini://geminiprotocol.net/ - https://geminiprotocol.net/ ) - gemini somethingcoin somethingcrypto (I will never link it) - gemini google's ML/AI (here we are)
Re: Gemini AI
#94Re: Gemini AI
#95It's truly astounding to me that Google, a juggernaut with decades under its belt on all things AI, is only now catching up to OpenAI which is on all camps a fraction of its size.
Re: Gemini AI
#96Re: Gemini AI
#97it's really amazing how in IT we always recycle the same ten names... in the last three years, "gemini" refers (at least) to: - gemini protocol, the smolnet companion (gemini://geminiprotocol.net/ - https://geminiprotocol.net/ ) - gemini somethingcoin somethingcrypto (I will never link it) - gemini google's ML/AI (here we are)
Re: Gemini AI
#98Apple lost the PC battle, MS lost the mobile battle, Google is losing the AI battle. You can't win everywhere.
So basically:
Apple lost the PC battle and won mobile,
Microsoft lost the mobile battle and (seemingly) is winning AI,
Google is losing the AI battle, but will win .... the Metaverse? Immersive VR? Robotics?
Re: Gemini AI
#99> For Gemini Ultra, we’re currently completing extensive trust and safety checks, including red-teaming by trusted external parties, and further refining the model using fine-tuning and reinforcement learning from human feedback (RLHF) before making it broadly available. > As part of this process, we’ll make Gemini Ultra available to select customers, developers, partners and safety and responsibility experts for ear…
Heh, I read that and had the opposite conclusion. When I was reading the benchmarks and seeing how Gemini Ultra was outperforming GPT-4 I thought, "Finally, some competition for GPT4"! But when I got to that part, that's when I realized that it could potentially be caught in release hell and not actually see the light of day or significant use. Google, for better or worse, has more of a brand reputation to maintain a…
You think this is why Google is so far behind?