3 ms·
I don't understand Googles hesitation in this space, when they thought Facebook posts were going to replace (a portion) of search they went all in on social pla
by foxandmouse 4y ago
I don't understand Googles hesitation in this space, when they thought Facebook posts were going to replace (a portion) of search they went all in on social platforms. This is clearly a much greater threat to their core business, so much so that it's allowed Microsoft to reinvigorate bing!
I've never worked at google, but I've worked for them and Meta, the data they have access to is unbelievable (and I'm sure I only saw a very small subset of it).
If they don't successfully make the paradigm shift then their dominance in search is at an end. (Especially with governments regulating search results like what's happening in Canada with bill C18)
- goethes_kind 4y agoI don't think it is hesitation. They probably just do not have results that are comparable, yet. In that case it is better to not release anything than release results that show that your model is 1/4 as good as that of your competitor.
- greatpostman 4y agoAn insider told me google is behind
- d--b 4y agoMy belief is that Google was betting more on DeepMind's vision, which is closer to "thinking" than what LLMs models do. LLMs have demonstrated some usefulness for sure, but it's no AGI. It makes many mistakes and doubles down on them at times. If Google can nail AGI on easier taks / games / simulations / etc, they'll win that race, cause it'll be easier to add a language layer to a thinking model than to tweak a language model into thinking.