I once went to go pick up takeout and they covered the no tip button with a sticker. I was so confused so I put in 10 cents because I could find the button at first. I stopped going to the place since.
Pushing Dan Ammann out was a bad idea. I personally like the original set up at the time. Kyle as the CTO and Dan as the CEO. Kyle was great as an internal CEO, he was calling most of the internal shots anyway. The accident would have played out very differently if Dan Ammann was the CEO IMO.
Was always unclear to me whether DanA was truly pushed out, or if the board (largely comprised of GM execs) wanted to take the company in a different direction than Dan wanted to go, and Dan decided to leave rather than stick around. Ie. IPO vs keep it a majority owned subsidiary.
I got the impression that it was a conflict with Mary Barra specifically, not so much the board as a whole. They simply went along with her. The tone of the notice was indicative of being pushed out, not a mutual parting of ways.
Sorry, but that's an exceptionally unimpressive article. The crux of his thesis is:
>The main flaw is that this idea treats intelligence as purely abstract and not grounded in physical reality. To improve any system, you need resources. And even if a superintelligence uses these resources more effectively than humans to improve itself, it is still bound by the scaling of improvements I mentioned before — linear improvements need exponential resources. Diminishing returns can be avoided by switching to more independent problems – like adding one-off features to GPUs – but these quickly hit their own diminishing returns.
Literally everyone already knows the problems with scaling compute and data. This is not a deep insight. His assertion that we can't keep scaling GPUs is apparently not being taken seriously by _anyone_ else.
Was more mentioning the article about the economic aspect of China vs US in terms of AI.
While I do understand your sentiment, it might be worth noting the author is the author of bitandbytes. Which is one of the first library with quantization methods built in and was(?) one of the most used inference engines. I’m pretty sure transformers from HF still uses this as the Python to CUDA framework
Scale. You can monetize on the people that don’t pay the $200/month. Obviously I have nothing to prove this statement, but I wouldn’t be surprised if the subscriptions are loss leaders.
Not OP but I doubt it. I’m in my mid 30s and when I grew up there in the 90s, Suffolk county was bumble. Some people had horses on their land. After 9/11, a ton of people moved in from the city and the population absolutely ballooned. Over two decades, the population grew so much that just Nassau county and Suffolk county combined has more people than a handful of states. People come and go too (including myself) so unless some organization is tracking us, it’ll be hard to pinpoint.
Aha likewise, I swear, between the ticks and the polluted water, a good amount of us are screwed. Grumman has put some nasty stuff into the ground too. I remember growing up how they mentioned it was slowly seeping into the aquifer. Took me ages to convince my parents to get a RO machine
I worked at BNL during college days through the SULI program! Some of my peers from college is working there full time now too. I got to work on some really cool stuff but unfortunately a lot of the tenured researcher I knew have seem to left. I heard a lot of researchers left during Trump’s first term.
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