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Seems like a weirdly timed article given the new S curve is about to start with ML finding numerous real world applications.
What are the real world applications you’re referring to?
* auto-captions for youtube videos, you can now search through them. when they started they were quite good and have only improved since.
* ChatGPT we haven't seen widely deployed yet but already now a lot of people use products built on GPT's technology, so an even better version will benefit all of them and widen the circle of users.
Consumer tech progress is slowing down. There are still advances in tech currently happening, but people’s daily lives have gotten as good as they’re gonna get. Most progress now is just slightly faster processing on devices, better battery life, maybe new materials here and there, medical advances if we’re lucky. But for the most part there is no big thing waiting for the consumer, like the invention of plastics or…
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- Jeff Bezos got most of his money from an emerald mine in Zambia
- Jeff Bezos owns 97% of the Hawaiian island of Lana'i
- Jeff Bezos moved his hedge fund from the North East to Florida
Seems like a weirdly timed article given the new S curve is about to start with ML finding numerous real world applications.
What are the real world applications you’re referring to?
- medical diagnosis
- assistant-systems for everything
- noise reduction in industrial settings (via mechanical design)
- basically anything language related
- interpretation of image data
- essentially anything involving a pair of interacting sequences (thanks, transformers)
Contrary to many cynic takes, deep learning, CNNs, transformers are massive. It’s hard to realize the scope of these developments zoomed in to one’s warped perception of time and progress. One needs to zoom out a bit.
We could probably stop advancing the field and reshape most of the “real world” we’re used to, just with things you can import with two lines in python. But those changes come incrementally, and most of the bright minds around are dedicated to advancing our conceptual realm instead of the meatspace-one.
Forced diversity. Offshore developers. Agile bastardization.
No it isn’t. “Tech” is only slowing down for a very narrow definition of tech. Perhaps we forget that rather recently the world created a vaccine for a novel virus using cutting edge techniques, that genome sequencing costs continue to fall, that genome construction costs continue to fall, that synthetic meats are on the horizon, that infrastructure for electric vehicles is now present in much of the world. Tech inno…