People have been trying to create chess engines that accurately match human play for decades. For one thing, they would make great sparring partners. But getting crushed like a bug every single game isn’t that fun, so the most popular attempts at engines that match human play have been ...
there is still a lot of work to be done in the domain of Human-like AI. Steven Latré, director of IDLab, an imec research group at the University of Antwerp, gives an insight into the shortcomings and how they can be eliminated. ...
Chess is an ideal model system for conducting research into this kind of human-AI alignment, with its rich history as a pivotal testbed for AI research, mature superhuman AI systems like AlphaZero, and precise measurements of skill via chess rating systems. Previous work in model...
Maia is a human-like neural network chess engine trained on millions of human games. - CSSLab/maia-chess
"Current chess AIs don't have any conception of what mistakes people typically make at a particular ability level. They will tell you all the mistakes you made—all the situations in which you failed to play with machine-like precision—but they can't separate out what you should work on,...
These fears, while understandable, stem from a fundamental misunderstanding of what AI is—and what it is not. While AI may outperform humans in specific analytical domains, like chess and protein molecule folding, it can never replicate the full spectrum of what it means to be human. Far ...
that are meaningful in life, whether the style of control is human-like, whether each actor (designer, operator, subject, government) has the control they need, and what it is exactly that a human is controlling (e.g., the training data, the inputs, the outputs, etc. of the AI ...
A skill like driving a car is thousands of times more complex than playing chess. There are more rules, more goals, and safety rules to follow. How does a human learn to drive? We learn to drive from both driving teachers and books. ...
How much is thinking about routes in a labyrinthine city like thinking about moves on the checkered board? In arecent experiment,now out inPNAS, we found a way to go beyond the chess set and test planning in the real world. To do this, we relied on the i...
Said to be the most complex game ever designed, with an incomputable number of move options, Go requires human-like "intuition" to prevail. "If the machine wins, it will be an important symbolic moment," AI expert Jean-Gabriel Ganascia of the Pierre and Marie Curie University in Paris to...