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If you haven't already, please take a look at this paper. You don't need to understand the content, but it's important to understand the context. In 2017, Google published this paper, which is not only a masterpiece but also a cornerstone for the current excitement around Gen AI and LLM. My question is, why is Google playing catch-up? Are we witnessing a Kodak moment? https://proceedings.neurips.cc/paper_files/paper/2017/file/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf
The best paper in AI till date
I'd say a tie between Krizhevsky et al 2012 and Vaswani et al
So is this AGI?
Google is a classic case of “ too many cooks spoil the broth” or must say these cooks don’t allow anyone to even make the broth. There are many such papers best at this n that floating around Google, problem is everyone there is a leader and lead by blaming others . No one listens. Simple plain old time “ listening” will massively help Google .
Because of poor leadership and a lot of entitled pricks. I’m there so witnessing it myself.
Big facts. I think a lot of big tech people confuse their high TCs with how capable and talented they are Some of the sharpest people I know are at startups making way less money and some of the dumbest and most entitled people I know are at FAANG and think they’ve “made it” I think a lot of startups out there have higher average talent quality and are less risk averse than big companies because they’re private and don’t have shareholders and 401ks to answer to A lot of top talent might actually leave while the mid people who have “made it” are the ones who stay
Exactly ! My thoughts.. I come from Meta and in my experience, I feel there is more arrogance and attitude at Google than it was with Meta. Like @th0tful says, it’s just sad to see so many mediocre people here, especially through acquisitions. Quality of people is meh, perhaps a lot of good ones left !