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This demo is nuts: https://youtu.be/UIZAiXYceBI?si=8ELqSinKHdlGlNpX
Like how much of what was 'important' to develop a career in the past decades, even in the past years, will be relevant with these kinds of interactions.
I'm assuming the video is highly produced, but it's mind blowing even if 50% of what the video shows works out of the gate and is as easy as it portrays.
Google is the one that boasted in saying that.
By the time it's actually available to the public, OpenAI may be rolling out their next model.
But it does seem like Google is catching up faster than anyone else.
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…
Google literally invented transformers that are at the core of all current AI/LLMs so Sundar's comment is very accurate.
Earlier quoted context omitted.
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.
we have lamda, palm, palm2, bard, Gemini, bard with Gemini pro, ...
reminds me of
play station, play station 2, play station 3, ...
vs
Xbox, Xbox 360, Xbox one, Xbox one X, Xbox one series X
Earlier quoted context omitted.
Not just Europe: also no Canada, China, Russia, United Kingdom, Switzerland, Bulgaria, Norway, Iceland, etc.
United Kingdom, Switzerland, Bulgaria, Norway and Iceland are all part of Europe.
I thought Gemini was supposed to be a "massive leap" over GPT-4, and yet even in these benchmarks (unevenly employed) it just barely outperformed a specific model of GPT-4. Google is the one that boasted in saying that. By the time it's actually available to the public, OpenAI may be rolling out their next model. But it does seem like Google is catching up faster than anyone else.
This demo is nuts: https://youtu.be/UIZAiXYceBI?si=8ELqSinKHdlGlNpX
I'm legitimately starting to wonder what white collar workers will even do in 5-10 years. This just Year 1 of this stuff going mainstream. Careers are 25-30 years long. What will someone entering the workforce today even be doing in 2035?
For others that were confused by the Gemini versions: the main one being discussed is Gemini Ultra (which is claimed to beat GPT-4). The one available through Bard is Gemini Pro . For the differences, looking at the technical report [1] on selected benchmarks, rounded score in %: Dataset | Gemini Ultra | Gemini Pro | GPT-4 MMLU | 90 | 79 | 87 BIG-Bench-Hard | 84 | 75 | 83 HellaSwag | 88 | 85 | 95 Natural2Code | 75 |…
Thanks, I was looking for clarification on this. Using Bard now does not feel GPT-4 level yet, and this would explain why.