The online retailer held a competition to have graduate students make its personal assistant into a more conversational bot. Nobody won.
Getting to know you: In a contest dubbed Alexa Prize, Amazon challenged 15 teams to build “a socialbot that can converse coherently and engagingly with humans on popular topics for 20 minutes.” Three made it to the final round. The prize? Besides bragging rights, there was a cool $1 million on offer.
But: Building a chatbot is difficult. Machine learning isn’t advanced enough to do the task on its own, which means a lot of the software needs to be hand-coded. Even then, no team quite managed the goal of 20 minutes that Amazon was looking for. So the contest will be held again.
Why it matters: Companies like Amazon and Google are betting big on voice interface becoming as mainstream as search. For Amazon, a friendly voice assistant might help it convince customers to make more purchases. But $1 million says that it’s still trying.
This artist is dominating AI-generated art. And he’s not happy about it.
Greg Rutkowski is a more popular prompt than Picasso.
What does GPT-3 “know” about me?
Large language models are trained on troves of personal data hoovered from the internet. So I wanted to know: What does it have on me?
An AI that can design new proteins could help unlock new cures and materials
The machine-learning tool could help researchers discover entirely new proteins not yet known to science.
DeepMind’s new chatbot uses Google searches plus humans to give better answers
The lab trained a chatbot to learn from human feedback and search the internet for information to support its claims.
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