1,731 karma · joined March 30, 2011
UBI gives that to everyone, giving everyone a shot at developing their merit.
It's interesting they could have the most up to date mapping of anyone, I wonder if they plan to do anything with it.
https://www.reuters.com/technology/twitter-resumes-paying-go...
So far it's been the attention of the users that has been monetized, primarily via advertising.
But now the content generated by the users has value as input into AI training sets. And AI companies are scrambling to gather as much as they can as rapidly as they can.
The data itself, not the attention of the users, is what is now being harvested.
The companies hosting the data are right to intervene, there's no reason to allow incredibly well-funded AI organizations hoover it all up for free.
Where it's going wrong is how the social companies are intervening. Their goal is correct, their methods are not.
Part of the reason Harvard is appealing is that you can rub shoulders with the establishment. For that to work, the children of the establishment have to be admitted.
I don't like it, but it does make sense and add value that many are looking for.
The reason it's cheap is that no one wants to develop it.
I've gotten a very similar bonus to this for putting in a few long nights and accelerating a client delivery by a month. And sometimes much less for much more effort.
I think it depends on how much of a slush fund a project has, which might not be at all tied to the impact of the project.
The paths they focus on, maybe.
Certainly not the only paths, or even the likely paths.
https://cps.iau.org/news/nsf-and-spacex-sign-agreement-to-mi...
We don't provide nuclear weapons for everyone to keep in their basement, why would someone who believes AI is an existential risk provide their code?
A Fallout 4 mod is using AI to voice human written options in the same voices as existing characters. And there's a couple Skyrim projects working on dialogue generation. Personally I expect this to be an area where amateurs/hobbyists contribute quite a bit of research.
But throwing a monkey wrench into the whole thing is my increasing use of Bing Chat. It's not really a general purpose search replacement, but it does do a more efficient job of answering basic questions succinctly.
In 2019, OpenAI said they couldn't fully release GPT-2 because it would be too dangerous. Now anyone can run a more powerful model.
In what ways has the predicted danger manifested in reality?
They've made some missteps, but it's not even close to being over.