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Google is winning on every AI front

(www.thealgorithmicbridge.com)
993 points vinhnx | 2 comments | | HN request time: 0.58s | source
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thunderbird120 ◴[] No.43661807[source]
This article doesn't mention TPUs anywhere. I don't think it's obvious for people outside of google's ecosystem just how extraordinarily good the JAX + TPU ecosystem is. Google several structural advantages over other major players, but the largest one is that they roll their own compute solution which is actually very mature and competitive. TPUs are extremely good at both training and inference[1] especially at scale. Google's ability to tailor their mature hardware to exactly what they need gives them a massive leg up on competition. AI companies fundamentally have to answer the question "what can you do that no one else can?". Google's hardware advantage provides an actual answer to that question which can't be erased the next time someone drops a new model onto huggingface.

[1]https://blog.google/products/google-cloud/ironwood-tpu-age-o...

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noosphr ◴[] No.43661870[source]
And yet google's main structural disadvantage is being google.

Modern BERT with the extended context has solved natural language web search. I mean it as no exaggeration that _everything_ google does for search is now obsolete. The only reason why google search isn't dead yet is that it takes a while to index all web paged into a vector database.

And yet it wasn't google that released the architecture update, it was hugging face as a summer collaboration between a dozen people. Google's version came out in 2018 and languished for a decade because it would destroy their business model.

Google is too risk averse to do anything, but completely doomed if they don't cannibalize their cash cow product. Web search is no longer a crown jewel, but plumbing that answering services, like perplexity, need. I don't see google being able to pull off an iPhone moment where they killed the iPod to win the next 20 years.

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1. danpalmer ◴[] No.43662527[source]
This would be like claiming in 2010 that because Page Rank is out there, search is a solved problem and there’s no secret sauce, and the following decade proved that false.
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2. noosphr ◴[] No.43670304[source]
In a time where statistical models couldn't understand natural language the click stream from users was their secret sauce.

Today a consumer grade >8b decoder only model does a better job of predicting if some (long) string of text matches a user query than any bespoke algorithm would.

The only reason why encoder only models are better than decoder only models is that you can cache the results against the corpus ahead of time.