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Comment Demographics to the rescue!? (Score 1) 149

China's birth rate is down to 1.16 - about half what is needed for population stability. The median age in China was 18 in 1970, 37 in 2020, and will hit 50 in 2050. All of this will make younger workers even more of a hot commodity, but they will simply be forced to relent and accept more older ones over time.

https://www.statista.com/stati...

Comment Re:VLOGGER, Google's equivalent, released last mon (Score 2) 13

In "Infinite Jest," (1996) David Foster Wallace recounts a fictional history of video phones in which people eventually quit using them because people couldn't resist the temptation to increasingly embellish their appearance until it was all fictional and served no purpose.

Comment Re:Pretty on point... (Score 2) 42

Even without a totally different sort of compute resource, I think algorithmic development (steady, or sudden) may very well reduce the compute required by 99% or more. The fact that EVERY parameter, reflecting ALL knowledge about EVERYTHING on the internet, is used every time for generating each and every word (token)... that can't be necessary. Mixture of experts models (or something) will fix this.

Comment Please don't (Score 1) 15

I value the ability to upload heart rate data to Garmin and the privacy concern is manageable. For the foreseeable future, any brain data they are able to read will be at about that level of precision - I suppose it can do a better of job of quantifying the quality of your sleep. But it's not reading your thoughts.

Comment Re:electric VTOL (Score 1) 84

I can't see most of the article, but I can see in the picture that it's a vtol aircraft (with an airfoil) not a quadcopter. So, that helps.

Compared to a helicopter, with a turbine engine and a long blade, this would have a very different noise profile with 4 electric motors each spinning a propeller. Hopefully not as loud? Or at least not at the low, long-traveling "thud thud thud" frequency of a helo?

Comment Re:AI Incest (Score 1) 41

I agree with you, AI inbreeding is one of those fairly clever intuitive insights that somebody has and which subsequently gets way too much attention in the next few years.

I would add that while the first generation LLM's were trained on crowdsourced data from the web, as LLM's have more real-world applications they will learn from the data they observe in their own "first-person" experience. Like how Telsa uploads training data from cars using FSD (misnomer that it is).

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