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Google is winning on every AI front

(www.thealgorithmicbridge.com)
993 points vinhnx | 2 comments | | HN request time: 0.44s | 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. marsten ◴[] No.43670870[source]
I think what may save Google from an Innovator's Dilemma extinction is that none of the AI would-be Google killers (OpenAI etc.) have figured out how to achieve any degree of lock-in. We're in a phase right now where everybody gets excited by the latest model and the switching cost is next to zero. This is very different from the dynamics of, say, Intel missing the boat on mobile CPUs.

I've been wondering for some time what sustainable advantage will end up looking like in AI. The only obvious thing is that whoever invents an AI that can remember who you are and every conversation it's had with you -- that will be a sticky product.

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2. noosphr ◴[] No.43678157[source]
Who ever gets AI to be able to search the whole corpus of human knowledge. I'm not just talking about web pages, I'm talking every book, every scientific paper, every news paper, every piece of text stored somewhere.

I've build RAG systems that index tokens in the 1e12 range and the main thing stopping us from having a super search that will make google look like the library card catalogue is the copyright system.

A country that ignores that and builds the first XXX billion parameter encoder only model will do for knowledge work what the high pressure steam engine did for muscle work.