About 3.5 billion people across the globe live already live in cities - and the director of the United Nation's Human Settlement Program says that population will grow by 2.5 to 3 billion people by 2050.
ata poisoning techniques to essentially disturb pixels within an image to create invisible noise, effectively making AI art generators incapable of generating realistic deepfakes based on the photos they’re fed.
Higher resolution images work even better, he said, since they include more pixels that can be minutely disturbed.
Google is creating its own AI image generator called Imagen, though few people have been able to put their system through its paces. The company is also working on a generative AI video system.
Salman said he could imagine a future where companies, even the ones who generate the AI models, could certify that uploaded images are immunized against AI models. Of course, that isn’t much good news for the millions of images already uploaded to the open source library like LAION, but it could potentially make a difference for any image uploaded in the future.
there are some AI systems that can detect deepfake videos, and there are ways to train people to detect the small inconsistencies that show a video is being faked. The question is: will there come a time when neither human nor machine can discern if a photo or video has been manipulated?
Back in September, OpenAI announced users could once again upload human faces to their system, but claimed they had built in ways to stop users from showing faces in violent or sexual contexts. It also asked users not to upload images of people without their consent
Noah asked Murati if there was a way to make sure AI programs don’t lead us to a world “where nothing is real, and everything that’s real, isn’t?”
a new collections policy that requires Smithsonian museums to collaborate with the communities represented by their holdings and to return or share ownership of items that might have been previously stolen or acquired under duress.
The policy requires human remains “be treated with dignity and respect, as those once living, and not objectified as a scientific resource.”
As Smithsonian officials celebrated the deaccessioning of works held by its African Art museum, they ignored another 21 Benin sculptures in the collection of the National Museum of Natural History
One floor above the African exhibit, which opened in 1999, the bones of Robert Kennicott, the famed Smithsonian explorer who once lived in the Castle, are on view.
we’ve realised that artificial intelligences (AIs), particularly a form of machine learning called neural networks, which learn from data without having to be fed explicit instructions, are themselves fallible.
The second is that humans turn out to be deeply uncomfortable with theory-free science.
there may still be plenty of theory of the traditional kind – that is, graspable by humans – that usefully explains much but has yet to be uncovered.
The theories that make sense when you have huge amounts of data look quite different from those that make sense when you have small amounts
The bigger the dataset, the more inconsistencies the AI learns. The end result is not a theory in the traditional sense of a precise claim about how people make decisions, but a set of claims that is subject to certain constraints.
theory-free predictive engines embodied by Facebook or AlphaFold.
“Explainable AI”, which addresses how to bridge the interpretability gap, has become a hot topic. But that gap is only set to widen and we might instead be faced with a trade-off: how much predictability are we willing to give up for interpretability?
Over the last century and a half, science fiction has evolved just as science has evolved. But does this mean there is actually a causal link between futurology and real scientific research? Could science fiction actually determine what technologies humanity ultimately invents? And if so, can this new generation of crowd empowered futurists be the ones who shape our future world?
Tinkering and experimenting; engaging in the arts; going out into the community; tapping into students’ talents, interests and passions are not part learning process.
it does not honor learning-by-doing
I think that the flipped classroom is an interesting idea if you want to do learning that is largely based on presentation.
I am interested more in moving beyond the flipped classroom to learning by doing at the center than a kind of the intermediate step that still centers on largely on tacit assimilation
Thomas Edison’s thoughts about how film would change education.
It is possible to teach every branch of human knowledge with the motion picture. Our school system will be completely changed inside of ten years. (http://quoteinvestigator.com/2012/02/15/books-obsolete/)
TED is about ideas worth sharing. I am curious if the kids, after being directed through the Ted-Ed lessons, will develop and spread their own ideas with their peers.
Why has recognising the deep future been so difficult for humanity? Why, after discovering the place of the Earth in the solar system, the place of the solar system in the universe, the age of the Earth, the age of the universe, and evolution by natural selection over aeons of Earth’s history, do we still need to be prodded to perform the simple act of turning around, to position ourselves to see both forward and back in time?