Thinking about how us meatbots actually work could deliver AI that’s more useful and fair.
Secrets to good AI: Designers at Google spent three years helping build AI for the firm’s Clips wearable camera, and they published a blog post about what they learned. They say the best AIs solve a real human problem, do things in a way that makes sense to humans, and build trust with users. Easy, right?
And how to build ’em: A new tool called Cortex could get designers more involved in building AI. Its graphical user interface makes building complex algorithms simpler and should help non-nerds create AI that’s helpful for humans.
Why it matters: Many AI problems, like bias, stem from the fact that such a narrow group of people are building the technology. Opening up design and focusing on end users could make AI both better and fairer.
Why Meta’s latest large language model survived only three days online
Galactica was supposed to help scientists. Instead, it mindlessly spat out biased and incorrect nonsense.
DeepMind’s game-playing AI has beaten a 50-year-old record in computer science
The new version of AlphaZero discovered a faster way to do matrix multiplication, a core problem in computing that affects thousands of everyday computer tasks.
A bot that watched 70,000 hours of Minecraft could unlock AI’s next big thing
Online videos are a vast and untapped source of training data—and OpenAI says it has a new way to use it.
The White House just unveiled a new AI Bill of Rights
It's the first big step to hold AI to account.
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