Are they measurably attracting more talent here? It seems like they're losing some of it right now, so is there public info about numbers of researchers they have or etc
They also have the money, the hardware and the talent to be the best cloud infrastructure provider, yet they're still far behind AWS (for good reason, as anyone who's dealt with their customer service will understand).
Agree that I would (and do) still place my bet on them for the long term. Maybe the outcome will be a couple of good startups seeded and DeepMind _really_ focusing on LLMs now.
social media is a completely different market though - since there are massive returns to scale, it's incredibly hard for a new entrant to break in.
model training and inference is the opposite. people switch LLMs like people change clothes in the morning. there are popular services (openrouter) that make moving as easy as changing a model string.
Which poses the question: Why does Google even need to catch up? At least currently, the name of the game is integration. The actual model is a commodity.
Unfortunately the new cow is cannibalizing the old cow, so Google is in a bit of a bind here. (So far I cannot imagine them monetizing AI overviews enough to compensate for the sharp loss of ads on SERPs.)
To its credit Google seems willing to disrupt itself before its competitors can.
I said that too at the start of the year, but that's a looong time in "AI years". I feel like by now they should have announced a Fable-killer model. They may still do it but looking back I am becoming less convinced now than I was 6 months ago.