Bryan Cheong
@bryancsk
Proponent of pro-technology humanity.
Replacing all the teaware on my rosewood Ming-style circular display shelf with Pop Mart figurines, I'll let y'all know when it's filled.
Never Surrender
How do you respond if an overseas humanoid robotics company wants to ship extremely cheap labor to your country at the cost of forcing everyone to change their standard electric sockets?
Every building like this in the US is precious and should be preserved. Can you even imagine the cost of building one of these ab initio? Once they are gone you can never build another.
60 years ago, big box stores were the cutting edge of retail Now they are ending up abandon like this: A big challenge in the future is what are we going to do with all these buildings…
After the revenue sharing rule changes for NCAA football Stanford football has been dire. They should offer non-revenue perks like cutting-edge drug therapy that hasn't been published yet or something.
You too should move to California if you want to grow big and strong
You too should move to California if you want to grow big and strong
Former Arkansas WR just 6 months after transferring from Arkansas to Cal
Hey @grok who is the most obnoxious person to visit my profile? Tag their handle . You can try, but I think X dot com the everything app regexed you so you can't even do that.
It is past 1 a.m. and I am now hungry.
In lieu of dinner I have decided to have puerh tea and unbox a labubu instead
'dataset nonsense detection' isn't automated and you think your job is automated?
i used to think AI2D was a small but high quality dataset, but i actually looked today and this is the very first sample
It is difficult to place a bet against the Bitter Lesson, but the data is much more expensive and space of meaningful results is much more sparse in materials discovery than in the problems pure computation has successfully tackled so far.
Don't know who needs to hear this, but materials discovery was never about randomly mixing things in a lab and happening upon transistors by chance. There are layers and layers of understanding that any ML approach could really benefit from.
In lieu of dinner I have decided to have puerh tea and unbox a labubu instead
