00:00:00
this is a case where necessity was the mother of invention these guys were like well how
00:00:05
am I going to do this reinforcement learning thing they invented a totally different algorithm it uses a lot less
00:00:10
computer memory and it's highly performant and then the second thing that was crazy is everybody is used to
00:00:15
building models and compiling through Cuda which is nvidia's proprietary language and these guys worked totally
00:00:21
around Cuda and they did something called PTX which goes right to the bare metal we meaning the West with all the
00:00:27
money that we've had didn't come up with these ideas and I think part of why we didn't come up is not that we're not
00:00:33
smart enough to do it but we weren't forced to because the constraints didn't exist and so I just wonder how we make
00:00:39
sure we learn this principle meaning when the AI company wakes up and rolls out of bed and some VC gives them 200
00:00:46
million maybe that's not the right answer for a series A or a seed and maybe the right answer is 2 million so
00:00:52
that they do these deep seek like Innovations