Not really seeing what this has to do with Meta or data centers. The bacteria was traced back to a contractor, not really clear to me what the link between bacteria and data centers is.
If the story was like, “water was polluted with waste chemicals produced during data center construction,” I think I could see more of a connection.
Rock climbing ethics is more complicated and dramatic than that.
Applying this logic about easements doesn’t really capture the whole picture, because you’re considering people only, not considering the
mountain. I think some people who support chopping those bolts would argue that this is like restoring the Mona Lisa after some random guy painted their own painting over it. Yes, removing that guy’s crappy painting is technically a destructive act and removes the world’s ability to see that painting. But net-net, things have improved, even though there will always be some signs of the damage done by a fool.
I could see it being good if it helps you estimate crimes committed by citizens. If you know where the gaps in your knowledge/data are, you can attempt to account for them. And that’s better than nothing.
I think misleading information is obviously bad, incomplete information is not necessarily misleading though.
On the other hand, it might be better to remove incomplete information if it is actively being used to mislead people.
I think that’s fine, but 1) that mentality leaves you extremely vulnerable to being disrupted by LLMs and 2) IMO, if you are solving the same problems every day it means you are not making progress on solving the root causes of those problems. What you are describing is toil, not knowledge work
That’s insane. There should be a big team of people at AMD whose whole job is just to dogfood their stuff for training like this. Speaking of which, Amazon is in the same boat, I’m constantly surprised that Amazon is not treating improving Inferentia/Trainium software as an uber-priority. (I work at Amazon)
I don’t think that is a good example. No one is debating whether LLMs can generate completely new sequences of tokens that have never appeared in any training dataset. We are interested not only in novel output, we are also interested in that output being correct, useful, insightful, etc. Copying a sequence from the user’s prompt is not really a good demonstration of that, especially given how autoregression/attention basically gives you that for free.
You couldn’t design a better system for incentivizing leaks if you were trying. Hell, the CEO literally said as much. Not sure how you can conclude the markets aren’t the problem.
Rhetorical question: why do non-insiders still bet in these markets? Surely, after all of the focus on insiders, people will begin to realize that betting without insider knowledge is a fool’s gambit..
If the story was like, “water was polluted with waste chemicals produced during data center construction,” I think I could see more of a connection.