How do you solve that by collecting everything? Because even if you’re collecting it and it’s right there, they don’t want to believe it.
Some may. All we can do is to collect it and make it easily available. What’s exciting to me is that not only can we now see that there are these separate worlds, but also we can see across universes. We can see... See more
If we want to understand what AIs are going to look like, I think the proto AI that we have are corporations. Corporations are sort of these funny little beasts. They’re not small. I guess they’re not little beasts, but they’re strange. It takes special training to have humans be able to fit within them. They’re made out of humans mostly but... See more
Mixture of experts , MoE or ME for short, is an ensemble learning technique that implements the idea of training experts on subtasks of a predictive modeling problem.
In the neural network community, several researchers have examined the decomposition methodology. [...] Mixture–of–Experts (ME) methodology that decomposes the input space, such that
We’ve digitized 2.5 million books. Google has as well, but they’re locked up. They locked up the public domain, which we think of as a sin. The library sort of made elite services around it just for themselves.
This link between openness and our relationships works in both directions: being more open strengthens our relationships, but stronger relationships and communities – ones built on trust, recognition and shared purpose – also help us to be more open. It is a positively reinforcing loop, but one that is hard to enter. Whether in personal... See more
openness is about more than access to and use of assets. It is about how we build and maintain our communities. The second challenge, then, and one that is just as important, is to re-examine how we create a community in the digital world .
earch engines have already disintermediated Wikipedia: Google uses Wikipedia content in the information boxes it displays, and as a result, many people need help to click through to Wikipedia itself.