Earlier quoted context omitted.
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…
While you are spot on, I cannot avoid thinking of 1996 or so. On one corner: IBM Deep Blue winning vs Kasparov. A world class giant with huge research experience. On the other corner, Google, a feisty newcomer, 2 years in their life, leveraging the tech to actually make something practical. Is Google the new IBM?
Gemini AI
621–630 of 1001 posts
Re: Gemini AI
#622Very impressive! I noticed two really notable things right off the bat: 1. I asked it a question about a feature that TypeScript doesn't have[1]. GPT4 usually does not recognize that it's impossible (I've tried asking it a bunch of times, it gets it right with like 50% probability) and hallucinates an answer. Gemini correctly says that it's impossible. The impressive thing was that it then linked to the open GitHub i…
> I've never seen GPT4 produce a link, other than when it's in web-browsing mode, which I find to be slower and less accurate. Really? I've been using gpt4 since about April and it used to very often create links for me. I'll tell it hey I want to find a company that does X in Y city and it generates 5 links for me, and at least one of them is usually real and not hallucinated
Can you imagine if you did a search on Google and 80% of the results weren't even real websites? We'd all still be using AltaVista!
What on earth kind of standard is "1/5 results actually exist!" -- no comment on whether the 1/5 real results is even relevant. My guess: the real links are usually irrelevant.
Re: Gemini AI
#623Earlier quoted context omitted.
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…
While you are spot on, I cannot avoid thinking of 1996 or so. On one corner: IBM Deep Blue winning vs Kasparov. A world class giant with huge research experience. On the other corner, Google, a feisty newcomer, 2 years in their life, leveraging the tech to actually make something practical. Is Google the new IBM?
Re: Gemini AI
#624This demo is nuts: https://youtu.be/UIZAiXYceBI?si=8ELqSinKHdlGlNpX
How real is it though? This blog post says In this post, we’ll explore some of the prompting approaches we used in our Hands on with Gemini demo video. which makes it sound like they used text + image prompts and then acted them out in the video, as opposed to Gemini interpreting the video directly. https://developers.googleblog.com/2023/12/how-its-made-gemin...
> Narrator: "Based on their design, which of these would go faster?"
Without even specifying that those are cars! That was impressive to me, that it recognized the cars are going downhill _and_ could infer that in such a situation, aerodynamics matters. But the blog post says the real prompt was this:
> Real Prompt: "Which of these cars is more aerodynamic? The one on the left or the right? Explain why, using specific visual details."
They narrated inaccurate prompts for the Sun/Saturn/Earth example too:
> Narrator: "Is this the right order?"
> Real Prompt: "Is this the right order? Consider the distance from the sun and explain your reasoning."
If the narrator actually read the _real_ prompts they fed Gemini in these videos, this would not be as impressive at all!
Re: Gemini AI
#625Earlier quoted context omitted.
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?
I'm wondering the same, but for the narrower white collar subset of tech workers, what will today's UX/UI designer or API developer be doing in 5-10 years.
HN has a blind spot about this because a lot of people here are in the top %ile of programmers. But the bottom 50th percentile are already being outperformed by GPT-4. Org structures and even GPT-4 availability hasn't caught up, but I can't see any situation where these workers aren't replaced en masse by AI, especially if the AI is 10% of the cost and doesn't come with the "baggage" of dealing with humans.
I don't think our society is prepared.
Re: Gemini AI
#626One 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…
People speak of the uncanny valley in terms of appearance. I am getting this from Gemini. It’s sort of impressive but feels freaky at the same time.
Is it just me?
Re: Gemini AI
#627One 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…
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…
Re: Gemini AI
#628Re: Gemini AI
#629This 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?
Re: Gemini AI
#630Fancy name, fancy website, charts, people cosplaying as Steve Jobs. This is embarrassing. Hey Google, you guys are presenting a LLM that is at best as good as ChatGPT, but you are like a year late to the party. Maybe shut the f*ck up, marketing wise, and just get people to use it. Bard is just bad right now, let Gemini convince people instead of a fancy marketing page.