A Really Big Computer
geohot.github.io
A Really Big Computer
1–10 of 38 posts
Re: A Really Big Computer
#2Re: A Really Big Computer
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#4Maybe I'm overly critical, but if fixing the Twitter search box is too hard, maybe buying solar (and batteries), fabbing chips, and building a giant data center to replicate the current generation of what another company already built is foolhardy.
Re: A Really Big Computer
#5If that's not factored into his 3450 wafer estimate, it could be double that.
Re: A Really Big Computer
#6Maybe I'm overly critical, but if fixing the Twitter search box is too hard, maybe buying solar (and batteries), fabbing chips, and building a giant data center to replicate the current generation of what another company already built is foolhardy.
I armchair-diagnose geohot with bipolar disorder. Only a few weeks ago, he was writing about how he was slated to lose because of his low tolerance for bullshit.
Re: A Really Big Computer
#7Re: A Really Big Computer
#8I will refer to this as the moment when LLM hype jumped the shark.
As I keep mentioning on HN.
AI is real results + hype as opposed to crypto of only hype.
A computer of this size will be immensely useful for training Vision models very quickly, as well as other kinds of models.
Why only AI? Any branch of Science (all of them) that benefit from fast, parallel compute, will benefit from this.
It is extremely narrow view to view AI only as LLMs.
When I say "real use" I mean solving real world problems that existed before AI. And I don't even count generative AI of any shape or form.
Re: A Really Big Computer
#9He doesn't mention yield, which I hear is currently pretty bad on 3nm. And "just route around the bad silicon" might be easier said than done; widespread defects might create too many roadblocks to efficiently move data around your wafer-chip. If that's not factored into his 3450 wafer estimate, it could be double that.
When he mentions the prices of the wafers, does it come with the bad yields or without?