561–570 of 1001 posts
This is very cool and I am excited to try it out! But, according to the metrics, it barely edges out GPT-4 -- this mostly makes me _more_ impressed with GPT-4 which: - came out 9 months ago AND - had no direct competition to beat (you know Google wasn't going to release Gemini until it beat GPT-4) Looking forward to trying this out and then seeing OpenAI's answer
One observation: Sundar's comments in the main video seem like he's trying to communicate "we've been doing this ai stuff since you (other AI companies) were little babies" - to me this comes off kind of badly, like it's trying too hard to emphasize how long they've been doing AI (which is a weird look when the currently publicly available SOTA model is made by OpenAI, not Google). A better look would simply be to sh…
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Didn't Google invent LLMs and didn't Google have an internal LLm with similar capabilities long before openai released the gpts? Remember when that guy got fired for making a claim it was conscious ? The look isn't good. But it's not dishonest.
No this is not correct. Arguably OpenAI invented LLMs with GPT3 and the preceding scaling laws paper. I worked on LAMDA, it came after GPT4 and was not as capable. Google did invent the transformer, but all the authors of the paper have left since.
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He's not wrong. DeepMind spends time solving big scientific / large-scale problems such as those in genetics, material science or weather forecasting, and Google has untouchable resources such as all the books they've scanned (and already won court cases about) They do make OpenAI look like kids in that regard. There is far more to technology than public facing goods/products. It's probably in part due to the cultura…
Oh it's good they working on important problems with their ai. Its just openai was working on my/our problems (or providing tools to do so) and that's why people are more excited about them. Not because of cultural differences. If you are more into weather forecasting, yeah it sure may be reasonable to prefer google more.
It was a genius move to go public with a simple UI.
No matter how stunning the tech side is, if human interaction is not simple, the big stuff doesn’t even matter.
If it does not it's too late for me to change.
That's where i am at atm.
One thing I consider isn't just what the world will be like once we have a better GPT-4. I consider what the world will be like when we have 1 million GPT-4s. Right now how many do we have? 3 or 4 (OpenAI, Gemini, Claude, Pi). I think we'll have some strange unexpected effects once we have hundreds, thousands, tens of thousands, hundreds of thousands and then millions of LLMs at this level of capability.
It's like the difference between vertical and horizontal scaling.
This demo is nuts: https://youtu.be/UIZAiXYceBI?si=8ELqSinKHdlGlNpX
honestly - of all the AI hype demos and presentations recently - this is the first one that has really blown my mind. Something about the multimodal component of visual to audio just makes it feel realer. I would be VERY curious to see this live and in real time to see how similar it is to the video.
This demo is nuts: https://youtu.be/UIZAiXYceBI?si=8ELqSinKHdlGlNpX
Out of curiosity I fed ChatGPT 4 a few of the challenges through a photo (unclear if Gemini takes live video feed as input but GPT does not afaik) and it did pretty well. It was able to tell a duck was being drawn at an earlier stage before Gemini did. Like Gemini it was able to tell where the duck should go - to the left path to the swan. Because and I quote "because ducks and swans are both waterfowl, so the swan d…
P.S. I wonder how these kind of flaws end up in promotions. Bard made a mistake about JWST, which at least is much more specific and is farther from common knowledge than this.
Seems like they don't believe that it solved the 3200 rated problem (https://codeforces.com/contest/1810/problem/G) w/o data leakage
For context, there are only around 20 humans above 3200 rating in the world. During the contest, there were only 21 successful submissions from 25k participants for that problem.
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> show instead of tell They showed AlphaGo, they showed Transformers. Pretty good track record.
That was ages ago. In AI even a week feels like a whole year in other fields. And many/most of those researchers have fled to startups, so those startups also have a right to brag. But not too much - only immediate access to a model beating GPT4 is worth bragging today (cloud), or getting GPT3.5 quality from a model running on a phone (edge). So it's either free-private-gpt3.5 or cloud-better-than-gpt4v. Nothing else…
I think that was the point.