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.
The inside story of how ChatGPT was built from the people who made it
Exclusive conversations that take us behind the scenes of a cultural phenomenon.
ChatGPT is about to revolutionize the economy. We need to decide what that looks like.
New large language models will transform many jobs. Whether they will lead to widespread prosperity or not is up to us.
GPT-4 is bigger and better than ChatGPT—but OpenAI won’t say why
We got a first look at the much-anticipated big new language model from OpenAI. But this time how it works is even more deeply under wraps.
Google just launched Bard, its answer to ChatGPT—and it wants you to make it better
Under pressure from its rivals, Google is updating the way we look for information by introducing a sidekick to its search engine.
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