Attention models? Attention existed before those papers. What they did was show that it was enough to predict next word sequences in a certain context. I'm certain they didn't realize what they found. We used this frame work in 2018 and it gave us wildly unusual behavior (but really fun) and we tried to solve it (really looking for HF capability more than RL) but we didn't see what another group found: that scale in…
> but we didn't see what another group found: that scale in compute with simple algorithms were just better The bitter lesson [0] strikes again. [0] http://www.incompleteideas.net/IncIdeas/BitterLesson.html
The Google employees who created transformers
181–190 of 258 posts
Re: The Google employees who created transformers
#182Earlier quoted context omitted.
I'm not 100% sure I agree... Google is an ad company at the end of the day. Google is still making obscene amount of money with ads. Currently Gen AI is a massive expense in training and running and is only looking like it may harm future ad revenue (yet to be seen). Meanwhile OpenAI has not surpassed that critical threshold where they dominate the market with a moat and become a trillion dollar company. It is typica…
It's not about just ad revenue though, is it? Many thousands, if not millions of sites rely entirely on Google Search for their revenue. You cannot simply replace all of them with a chatbot - there are massive consequences to such decisions.
I mean these are kind of tangled together. Chatbots actively dilute real sites from what we are seeing, by feeding back into their fake into googles index in order to capture some of the ad revenue. This leads to the "Gee Google is really sucking" meme we see more and more often. The point is, Google had an absolute cash cow and the march towards GenAI AGI threatens to interrupt that model just as much as it promises to to make the AGI winner insanely rich.
Re: The Google employees who created transformers
#183Attention models? Attention existed before those papers. What they did was show that it was enough to predict next word sequences in a certain context. I'm certain they didn't realize what they found. We used this frame work in 2018 and it gave us wildly unusual behavior (but really fun) and we tried to solve it (really looking for HF capability more than RL) but we didn't see what another group found: that scale in…
Re: The Google employees who created transformers
#184Earlier quoted context omitted.
Hahaha... I worked at Borg The quota system can kick in at whatever time the limits are reached. And GPUs are scattered across borg cells, limiting the ceiling. That's why XBorg was created so that a global search among all Borg cells for researchers. And data center Capex is around 5 billion each year. Google makes hundres of billions of revenue each year. You are asking what people would do in impossible situation.…
> I cannot even understand what I do stands for in the context of your question That he had a higher budget than he knew what to do with. When I worked at Google I could bring up thousands of workers doing big tasks for hours without issue whenever I wanted, for me that was the same as being infinite since I never needed more, and that team didn't even have a particularly large budget. I can see a top ML team having…
Re: The Google employees who created transformers
#185It's pretty crazy to think that Google is not OpenAI today, they had deep mind and an army of PHDs early on.
Re: The Google employees who created transformers
#186Earlier quoted context omitted.
> It is typically very hard for a company to change what they actually do Microsoft started out selling BASIC runtimes. Then they moved into operating systems. Then they moved into Cloud. Satya seems to be putting his money where his mouth is and working hard to transition the company to AI now. Apple has likewise undergone multiplet transformations over the decades. However Google has the unique problem that their m…
Office was the cash cow compared to windows.
Re: The Google employees who created transformers
#187And none of them still work for Google. It’s truly baffling that Google’s CEO still has a job after how badly he fumbled on AI.
Google doesn't have to try to be the best at AI now, it can just buy whoever is the winner later - a lesson learned from google video.
Re: The Google employees who created transformers
#188If they were threatened, Google could have easily owned the cloud. They were the first to a million servers and exabyte storage scale. Their internal infra is top notch.
Under no circumstances can they damage their cash cow. They have already shown to be UX hostile by making Ads look like results, and Youtube forcing more ads onto users.
The biggest breakthrough an AI researcher can have at Google is to get more ad clicks across their empire.
Google management knows this. Without ad revenue, they are fucked.
That is my biggest fear. That with AI we are able to exploit the human mind for dopamine addiction through screens.
Meta has shown that their algorithm can make the feeds more addictive (higher engagement). This results in more ads.
With Insta Reels, Youtube, TikTok e.t.c "Digital Heroin" keeps on getting better year after year.
Re: The Google employees who created transformers
#189Earlier quoted context omitted.
I'm not 100% sure I agree... Google is an ad company at the end of the day. Google is still making obscene amount of money with ads. Currently Gen AI is a massive expense in training and running and is only looking like it may harm future ad revenue (yet to be seen). Meanwhile OpenAI has not surpassed that critical threshold where they dominate the market with a moat and become a trillion dollar company. It is typica…
> It is typically very hard for a company to change what they actually do Microsoft started out selling BASIC runtimes. Then they moved into operating systems. Then they moved into Cloud. Satya seems to be putting his money where his mouth is and working hard to transition the company to AI now. Apple has likewise undergone multiplet transformations over the decades. However Google has the unique problem that their m…