What is the future of the like button in the age of artificial intelligence? Max Levchin—the PayPal cofounder and Affirm CEO—sees a new and hugely valuable role for liking data to train AI to arrive at conclusions more in line with those a human decisionmaker would make. It’s a well-known …
Read More »‘You Can’t Lick a Badger Twice’: Google Failures Highlight a Fundamental AI Flaw
Here’s a nice little distraction from your workday: Head to Google, type in any made-up phrase, add the word “meaning,” and search. Behold! Google’s AI Overviews will not only confirm that your gibberish is a real saying, it will also tell you what it means and how it was derived. …
Read More »AI Is Spreading Old Stereotypes to New Languages and Cultures
So, there’s the training data. Then, there’s the fine-tuning and evaluation. The training data might contain all kinds of really problematic stereotypes across countries, but then the bias mitigation techniques may only look at English. In particular, it tends to be North American– and US-centric. While you might reduce bias …
Read More »An AI Customer Service Chatbot Made Up a Company Policy—and Created a Mess
On Monday, a developer using the popular AI-powered code editor Cursor noticed something strange: Switching between machines instantly logged them out, breaking a common workflow for programmers who use multiple devices. When the user contacted Cursor support, an agent named “Sam” told them it was expected behavior under a new …
Read More »Stumbling and Overheating, Most Humanoid Robots Fail to Finish Half Marathon in Beijing
While capabilities like dancing can be fun and eyecatching, they don’t actually show how useful humanoid robots are in real-world situations, says Fern. Even being able to run a half marathon isn’t a very useful benchmark for their skills—it’s not like there’s market demand for robots that can compete with …
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