It’s probably also reflective of the fact that google are throwing all their new resources at AI, as soon as you’ve hit cache invalidation you’re gone, and anything new that’s crawled is probably ranked differently in the post llm world.
This explains the 1000s of “no core no vram” listings for 5090s
If it were due to parts substitution for repairs, would have expected they would be RMA’d rather than salvaged as they’d all be within warranty.
Being constrained by page sizes is “a feature, not a bug” in most contexts. If I’m calling out numbers on the 3rd line of page 38 of a report, it helps if that’s consistent.
Aren’t they already supply constrained? Seems like this would be counterproductive in further limiting supply vs a strategy of commoditizing your complements.
This seems closer to PR designed to boost share price rather than a cogent strategy.
Huh. I view it the other way. If you’re supply constrained go straight to the consumer and capture the value that the middlemen building on top of your tech are currently profiting from.
Even if they don't increase their GPU production capacity, that's not "limiting" supply. It's keeping it the same. Only now they can sell each unit for a larger profit margin.
Certainly possible if their calculation of income included non operating income otherwise excluded from revenue. (Eg. A gain on sale that dwarfs the underlying business). Such presentation is prevalent and a disclosure of “gross profit” isn’t uniformly required under GAAP
I wonder if 2) is a result of published bias for positive results in the training set. An “I don’t know” response is probably ranked unsatisfactory by human feedback and most published scientific literature are biased towards positive results and factual explanations.
In my experience, the willingness to say "I don't know" instead of confabulate is also down-rated as a human attribute, so it's not surprising that even an AGI trained on the "best" of humanity would avoid it.
(Don’t mention the bitcoin investment that’s in the shitter)