Tag: deepmind
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Weekly digest (17-23 Apr 2023)
Social mediaI had thought that deleting my Twitter account (and also my two Mastodon accounts) would be harder than it ended up being. Even though it’s something I’ve been considering for a long time, I’ve struggled with the idea of deleting more than 10 000 posts that I’ve created over more than a decade. But…
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Comment: Opening up a physics simulator for robotics
When you walk, your feet make contact with the ground. When you write, your fingers make contact with the pen. Physical contacts are what makes interaction with the world possible. Yet, for such a common occurrence, contact is a surprisingly complex phenomenon. Taking place at microscopic scales at the interface of two bodies, contacts can…
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Comment: DeepMind Can Now Beat Us at Multiplayer Games, Too
DeepMind’s agents are not really collaborating, said Mark Riedl, a professor at Georgia Tech College of Computing who specializes in artificial intelligence. They are merely responding to what is happening in the game, rather than trading messages with one another, as human players do…Although the result looks like collaboration, the agents achieve it because, individually,…
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The AI Threat to Democracy
With the advent of strong reinforcement learning…, goal-oriented strategic AI is now very much a reality. The difference is one of categories, not increments. While a supervised learning system relies upon the metrics fed to it by humans to come up with meaningful predictions and lacks all capacity for goal-oriented strategic thinking, reinforcement learning systems…
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a16z Podcast: Revenge of the Algorithms (Over Data)… Go! No?
in AIAn interesting (and sane) conversation about the defeat of AlphaGo by AlphaGo Zero. It almost completely avoids the science-fiction-y media coverage that tends to emphasise the potential for artificial general intelligence and instead focuses on the following key points: Go is a stupendously difficult board game for computers to play but it’s a game in…
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DeepMind’s AI can detect over 50 eye diseases as accurately as a doctor.
This is the point at which the risk from medical AI becomes much greater. Our inability to explain exactly how AI systems reach certain decisions is well-documented. And, as we’ve seen with self-driving car crashes, when humans take our hands off the wheel, there’s always a chance that a computer will make a fatal error…