Understanding China's Confucian Edge in the Global AI Race
China now stands poised to lead the world in the development of artificial-intelligence technologies, which rely, for their machine-learning algorithms.
A collection of 337 posts
China now stands poised to lead the world in the development of artificial-intelligence technologies, which rely, for their machine-learning algorithms.
When a public figure makes a mistake there seems to be a much stronger, more intense and quicker backlash.
All of us hope to enjoy our lives, of course, but much of what we do to help our fellow men, our children, and our children’s children involves sacrificing our immediate enjoyment for the sake of their interests.
This increases the likelihood that individuals who cross the line by discussing sex differences will be warned not to repeat the behavior and will probably be okay as long as they comply.
Consumption decreases when people abandon animal products for aesthetic reasons, and aesthetic converts might become moral converts later.
Those scientists who want to draw attention to the racial bias in genetic research but who don’t want to acknowledge the scientific validity of race are in a tricky position.
If we are worried about the loss of diversity, we could eliminate the human-biting mosquitoes and spend a few million dollars helping, say, endangered beetles.
What if all the Trump voters weren’t scared of immigrants taking their jobs, but instead were scared of robots taking their jobs (a much more likely scenario)?
The transhumanist perspective insists that humans have a distinctly separate mind and body, and that what happens to one need not affect the other.
Those of us who disagree with current diversity efforts need to speak up and share our honest opinions, even if doing so puts us at risk.
Elon Musk offers a good example of how technocrats don’t always get it right, and why trusting them with the world’s progress is risky.
The solution seemed to be clear: educate the public and they will accept the science.
Is it possible that innovation is not only stalling in non-tech areas, but in tech itself? Could we make an argument to say that the internet itself is, in fact, complete?
These are merely tools that help us to accomplish a far greater mission, which is to choose between rival narratives, in the vicious, no-holds-barred battle of ideas that we call “science”.