Click back a couple years and you'll find this page: https://news.ycombinator.com/from?site=a16z.com&next=2981684... with submissions like "DAOs, a Canon" https://news.ycombinator.com/item?id=29440901
Click back a couple years and you'll find this page: https://news.ycombinator.com/from?site=a16z.com&next=2981684... with submissions like "DAOs, a Canon" https://news.ycombinator.com/item?id=29440901
What did they end up investing in? NFTs and shitcoins.
Link: https://www.vice.com/en/article/k7bbd9/billionaire-marc-its-...
I would hate to be a celebrity and have people recording me all the time, especially at home.
CA/the bay area should focus on packing high density housing closer to transit lines, not lifting apartments in areas that are an hour+ walk from transit to score political points.
Believe their cryptocurrency/defi/web3 fund is aloof from the main fund?
it's pretty new "science." at least last 8 years or so
It is, unfortunately, not the same thing as a generative model.
I believe it originally grew out of the phrase "generative model" (which models the joint data probability distribution) but most of the prominent 'generative AI' models (like GPT) are not actually generative models but discriminators.
Regardless, outside of simple things like matrix multiplication, the theory of backpropagation (although not the implementations), language modeling as a concept, etc. - almost all of these techniques are within the last decade and a half or so.
https://en.wikipedia.org/wiki/Algorithmic_art?wprov=sfla1
And of course, other forms of generative AI exist.
I disagree that this is what people are really referring to when they use the phrase generative AI and basically none of the techniques being used can really be said to be 40 years old.