Stephen Nellis
π€ SpeakerAppearances Over Time
Podcast Appearances
The security risks that the lawmakers proposing this bill cited are basically two things.
Number one, that these robots, if used in the United States, could be used to gather up data and send it back to China.
And number two, that these robots could somehow be hijacked or otherwise remotely controlled from China.
Now, we should be careful here to note that these allegations of a backdoor are largely at this point not proven.
So there have been some developments in the artificial intelligence market over the past year or so that are just causing this humanoid robotics market to explode.
And China is putting a ton of effort into this, both private companies and the government itself.
If you've been tracking what's been happening in China over the Lunar New Year celebrations, these robots are
They're doing everything from running half marathons to having boxing matches and performing dance routines for huge audiences.
And there are even Chinese firms that are starting to propose selling robots at a low enough cost that they might even be appealing to the average consumer to help around the house or do chores and things to take a little bit of workload off of them.
The top line from these results is that they are still phenomenally good by any historical standard, but...
Only a lukewarm response from investors who have now seen NVIDIA beat its estimates and raise its guidance for something like 14 quarters in a row.
So it's hard to argue that these are great results by any standard, but people are just expecting more and more and more from the world's most valuable listed company.
I think these results tell us two things about the AI boom.
One is that it's still not over in as much as now that the models have been trained and businesses are starting to put them to use, there's still a lot of computing power that has to be built out to use them
The other big thing that this says about the nature of the AI computing boom is it has changed how computing happens.
One of the reasons that NVIDIA's results look so impressive is they're rolling a whole bunch of
Computing that used to happen among several different companies, you know, maybe Apple for computing that happened on your phone to Intel for computing that may have happened on a PC.
And they're rolling kind of all of that up into one company that's providing a lot of the dominant computing power for it.
So it looks really big.
I know people tend to think of Apple and Google as sworn enemies because one of them makes the iPhone and the other one provides the Android operating system.