strangeloops85

Joined 9 years ago

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May 2
a strange loop in a flat world
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Comment · 1 month ago
A very important point! In Tristan (NYU prof)’s write up he noted evidence of the OpenAI mathematician team doing a lot of correction and guidance along the way. We are never told about this with openness and clarity. At a minimum, complete disclosure and honesty is needed by the companies and about the precise role of their staff members.
Comment · 2 months ago
Comment · 2 months ago
Gotta love how all the companies' platitudes about sustainability become ludicrous as they begin burning natural gas at prodigious scales. But don't worry, "AI will solve climate change" so we can just pump extra CO2 now, right guys?

I am deeply, deeply cynical and honestly angry about these companies and their self-righteous protestations of being ethical, or public benefit corporations or whatever. Anthropic is benefiting from xAI's Memphis data center that is violating (previous, not anymore!) EPA standards, causing disproportionate impacts to nearby African-American communities. All the while, Ants appear to be floating on some higher effective altruist / B-corp plane. The little people and their petty concerns are just bumps on the road to RSI and ASI after all.

Comment · 9 months ago
The energy economics in space are also a bit more complicated than usually thought. I think Starlink has been using Si cells instead of III-V-based ones, but in addition to lower output they also tend to degrade faster under radiation. I guess that's ok if the GPU is going to be toast in a few years anyway so you might as well de-orbit the whole thing. But that same solar cell on Earth will happily be producing for 40+ years.

Also the same issue with radiative cooling pops up for space solar cells - they tend to run way hotter than on Earth and that lowers their efficiency relative to what you could get terrestrially.

Comment · 9 months ago
The elephant in the room for all lunar scenarios is lunar regolith. Even ignoring the toxicity to humans (big problem and will happen quite quickly for any humans there!), it will be a big long-term problem for robots and machinery in general.
Comment · 1 year ago
Really outrageous extortion. UCLA and UC as a whole are running budget deficits and facing reduced state support (as well as the grant cancelations). There's simply no money for this and the white house knows it.
Comment · 1 year ago
The particular type of fraud described here (paper mills etc.) is less common in the U.S. (different types of fraud may exist but that's more subtle and complex). There tend to be specific geographic clusters associated with this behavior that have to do with how university expansions have been done in many countries.

Oddly enough, pre-LLMs, I would have said most of these crap paper mill papers didn't really affect the actual fields. Yes, they cited each other but outside the citation ring didn't really alter the field in a knowledge sense. But now.. if these get picked up in Deep Research it's a problem.

Comment · 1 year ago
It’s interesting how hard and widespread a push they’re making in advertising this - at this particular moment, when there are rumors of more high level recruitment attempts / successes by Zuck. OpenAI is certainly a master at trying to drive narratives. (Independent of the actual significance / advance here). Sorry, there are too many hundreds of billions of dollars involved to not be a bit cautious and wary of claims being pushed this hard.
Comment · 1 year ago
I assume there was tool use in the fine tuning?
Comment · 1 year ago
To those saying all you need is a lot of radiators.. remember that the radiators themselves gain heat from both sunlight and the Earth itself. It is a surprisingly tricky problem and, yes, all heat can be dissipated to achieve a desirable set point given sufficiently large area. But it is certainly not easier than just having say an economizer and dropping the data center in Iceland or a cold place. Makes no sense
Comment · 1 year ago
At least for many engineering and science disciplines a solution remains to force students to actually try to learn the material: in-class, closed book exams. Nothing is ideal, but this does force students to actually engage with the material and problems. They are welcome to use LLMs all they want to help them study (though they should be careful given how often I catch them making horrible mistakes in my discipline). But the assessment will be of them and their brain.

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