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Comment Re:Thank goodness (Score 1) 25

I mean, I think what it comes down to is two things: 1) They weren't first 2) They aren't best So, they needed a niche that they can stake a claim to that will drive people to choose their product specifically. Being the definitive cornerstone of the "open" landscape of a groundbreaking piece of tech is a pretty damn good choice. The analogy is probably outdated, but they couldn't be McDonalds, so they chose to be Burger King.

Comment Corporate Death Penalty (Score 4, Insightful) 25

The penalty for these kinds of egregious violations of their legal responsibilities should be nothing less than complete liquidation of the company with all proceeds going to those affected by their negligence, and a permanent ban from holding executive positions for all C-suite level execs and members of the board. Without those kinds of harsh penalties, this kind of crap will just keep happening.

Comment Evolutionary Tradeoffs (Score 5, Insightful) 30

Packing the microchromosomes into larger chromosomes could have an advantage in that it's less "work" to coordinate chromosomal replication and segregation into the daughter cells with a smaller number of larger chromosomes. Less energy spent on the microtubule assembly to "run" mitosis. Fewer chances that a chromosome that didn't attach to the assembly properly stalls the process, etc. There are lots of areas where the larger assemblages could present an advantage that evolution could work on.
On the other hand, having smaller chromosomes means that if something does go wrong, there are potentially fewer genes affected by it so assuming the affected genes aren't super dosage sensitive, the resulting cells are more likely to be viable overall.
Evolutionary biology is always fascinating!

Comment Re:Simple solution (Score 1) 135

I don't give a shit about cryptocurrency, but mysidia is abolutely right about the demand for GPUs for research, deep-learning, and scientific applications. Crypto could completely die out (I don't think it will, but also, don't care either way) and the scientific applications will still be growing to make their investments in production capacity worthwhile. Nvidia is *definitely* being short-sighted by not dramatically scaling their manufacturing capacity.

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