One thing that's under appreciated on the website of the demos is the Stanford demo where Ben showed uh anywhere between 3 to 25 images you can reconstruct that entire Stanford quad. But the thing is we had to show it from aerial view. But every single input image is been standing on the ground taking a picture from the ground. So, everything you see are generated but according to the laws of reconstruction.
some bits of AI are way across the finish line, some bits are like maybe in the middle of it. Who knew the line had dimension? The finish line is actually this sort of smear. And I think the best answer you can give is like we're on the smear.
The most successful skill is if you don't just have one, but you have variety and you can switch between them and you can use context to switch between those.
Facts and Fallacies of Software Engineering by Robert L. Glass. In essence, this is a book about an industry that refuses to learn. That was true 25 years ago when this book was published, and it's probably twice as true today. (Just think about all the AI adoption metrics being rolled out — back to productivity mistaken for lines of code produced, only more elaborate. And expensive). What I like about this book is that Glass doesn't present anything new. Quite the opposite, actually. Rather, it's about research lessons that we all should know, but tend to forget. Ever had to do an estimate, or plan according to a requirements spec? Or maybe you thought that enough eyeballs make all bugs shallow? Then this book is for you. A great work by a fantastic author.
we've both come to believe that when transformation fails repeatedly, it's time for something different, and one of the tools that leaders need to add to their tool belts (and probably use a lot more frequently than they do today), is starting fresh, creating new entities (agencies and departments, for example) and either endowing them with new authorities or transferring authorities from legacy institutions to the new ones.
For the first time, I ran all potential winners through Pangram, which is an AI-writing detector.1 So according to the machine (and to my ear), all of the winners are 100% human-written.
did you know that according to the legal documents you yourself signed, your company's literal charter that you have right now, and this is not some hypothetical future thing, you've already put in motion, a rule that says you have a fiduciary duty to say yes in this situation.
According to Harvard Law School, among venturebacked companies that have the standard best practices set up that you got from your lawyer, okay, only 20% of founders are still the CEO 3 years after going public.
Because when you believe in something, when you become obsessed with something, you sacrifice yourself to it. And that sacrifice actually feels like pain and stress and doubt. Not fun.
Making licenses suddenly commercial for big entities? You are forcing people to
go back through the Procurement process. They will shift over time back
to a FOSS solution, even if it is less good.
we're not doing training by evolution. Uh we're doing training by basically imitation of humans and the data that they've put on the internet. And so you end up with these like sort of ethereal spirit entities because they're fully digital and they're kind of like mimicking humans.
That might surprise people. The bigger it is, the less noticeable it is that you’ve crossed the event horizon. One way to think about it is curvature is less noticeable the bigger it is.
Almost everyone in the class said that the days were moving by slower. Then I would say, “Okay, so do you feel like the weeks are passing by slower, faster, or the same?” The majority of them said that the weeks were passing by faster. According to the laws of physics, I don’t think that makes any sense, but according to memory, it did because what happened was people were doing the same thing over and over in the same context.
According to my numbers, in the United States there will be a net of 3.24 million new low-skill jobs, but there will also be 4.7 million fewer people in the labor force.
Mind candy: black comedy crime fiction / murder mystery, in rural Finland. I enjoyed both the comic darkness and the convincing happy endings all around. (At least, happy by the characters' own lights...) My first Tuomainen, but I'd read more if they crossed my path and I was in the right mood.
Free software is designed to be used commercially, but you have to do it correctly. This is a resource which is made available to companies who want to exploit it, but they must do so according to the terms of the licenses.
A korrent is a belief a person has stated in their own words: one
sentence stating the claim, backed by a quote and a source, kept at
korrents.com.
Under a name here, the quoted block is what they actually said.
The korrent beneath it is the claim those words support, in
korrents' wording — tap it to see the record, its source, and who
else holds it.
Nobody here wrote their own korrents. They are compiled from public
statements, and a person can change their mind, which is recorded too.
About the English under a post
Some people here publish in a language other than English. Where they
do, this site shows a machine translation beneath the post, in
this typeface — the site's own, not theirs.
The post itself is never changed, moved or hidden: what is set in the
serif above is exactly what the person published, and it is what to
quote them on. A translation can be wrong in ways that matter,
especially about tone.
Only the post's own words are translated. A quoted post, a linked
article and a belief on korrents.com
are left in their original language.