“For 4 Billion Years Nothing Has Changed in the Rules of the Game of Life. That is Ending.”
~ Yuval Harari
What can we learn from a history of the future? Historian Yuval Harari takes us on a journey through technological development and challenges leaders to develop a substantive vision of what it means for society, politics, religion and ideology.
Introduced by · gillian R. tett, managing editor, US, financial times, USA
With · yuval noah harari, professor, department of history, hebrew university of jerusalem, israel.
Google’s AI, AlphaZero, developed a “superhuman performance” in chess in just four hours.
Essentially, the AI absorbed humanity’s entire history of chess in one-sixth of a day — and then figured out how to beat anyone or anything.
After being programmed with the rules of the game (not the strategy) AlphaZero played 100 games against Stockfish, the world champion chess program. AlphaZero won 25 playing as white (which has first-mover advantage) and three games playing as black. The last 72 games were a draw with AlphaZero recording no losses and Stockfish recording no wins.
A few months after demonstrating its dominance over the game of Go, DeepMind’s AlphaZero AI has trounced the world’s top-ranked chess engine—and it did so without any prior knowledge of the game and after just four hours of self-training.
AlphaZero is now the most dominant chess playing entity on the planet. In a one-on-one tournament against Stockfish 8, the reigning computer chess champion, the DeepMind-built system didn’t lose a single game, winning or drawing all of the 100 matches played.
Artificial intelligence could be the powerful tool we need to solve some of the biggest problems facing our world, argues Raia Hadsell. In this talk, she offers an insight into how she and her colleagues are developing robots with the capacity to learn. Their superhuman ability to play video games is just the start.
Raia Hadsell is a research scientist on the Deep Learning team at DeepMind. She moved to London to join DeepMind in early 2014, feeling that her fundamental research interests in robotics, neural networks, and real world learning systems were well-aligned with the agenda of Demis, Shane, Koray, and other members of the original team. Raia’s research at DeepMind focuses on a number of fundamental challenges in AGI, including continual and transfer learning, deep reinforcement learning, and neural models of navigation. Raia came to AI research obliquely. After an undergraduate degree in religion and philosophy from Reed College, she veered off-course (on-course?) and became a computer scientist. Raia’s PhD with Yann LeCun, at NYU, focused on machine learning using Siamese neural nets (often called a ‘triplet loss’ today) and on deep learning for mobile robots in the wild. Her thesis, ‘Learning Long-range vision for offroad robots’, was awarded the Outstanding Dissertation award in 2009.
We are in a multidimensional and fully internationalized carry trade game, folks, which means there is a very serious and tangible risk pool sitting just below the surface across world’s largest insurance companies, pensions funds and banks, the so-called ‘mandated’ undertakings…
“How healthy are clones? What about clones of clones?”
This seems like a pretty silly way to go about testing this. I’d clone like 1,000 to 10,000 mice and track them down generations to see if there was anything abnormal. Then, 1,000 cloned rats. And, finally clone 100 monkeys.
In the 1996 film Multiplicity, Michael Keaton plays an overworked construction worker who gets cloned so that he can spend more time with his family. Eventually his clone gets cloned, but this clone is defective, with a low IQ and weird personality. As might be expected, the movie was a total flop at the box office*.
Silly as it was, the movie does raise an interesting question: How healthy are clones? What about clones of clones?
Dolly the sheep, the world’s first cloned animal, died young at the age of six. This, along with other data, suggested that cloned animals may not be entirely healthy, specifically that they may have shorter lifespans. However, a follow-up study that examined 13 cloned sheep concluded that cloning had “no obvious detrimental long-term health effects.”
