Author: Rhiannon Williams
—An anonymous US agency worker says they’re not impressed by a chatbot DOGE created in an attempt to automate work previously done by federal employees, Wired reports. The big story Inside the quest to map the universe with mysterious bursts of radio energy May 2024When our universe was less than half as old as it is today, a burst of energy that could cook a sun’s worth of popcorn shot out from somewhere amid a compact group of galaxies. Some 8 billion years later, radio waves from that burst reached Earth and were captured by a sophisticated low-frequency radio telescope…
The news: Google DeepMind has released a new model, Gemini Robotics, that combines its best large language model with robotics. Plugging in the LLM seems to give robots the ability to be more dexterous, work from natural-language commands, and generalize across tasks. All three are things that robots have struggled to do until now.Why it matters: The team hopes their work could usher in an era of robots that are far more useful and require less detailed training for each task. Incorporating LLMs into robotics is part of a growing trend, and this may be the most impressive example yet.…
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Everyone in AI is talking about Manus. We put it to the test. Since the general AI agent Manus was launched last week, it has spread online like wildfire. And not just in China, where it was developed by the Wuhan-based startup Butterfly Effect. It’s made its way into the global conversation, with some even dubbing it “the second DeepSeek”.Manus claims to be the world’s first general AI agent, building off multiple AI models and agents to act…
What’s new: A new pair of AI benchmarks could help developers reduce bias in AI models, potentially making them fairer and less likely to cause harm. The benchmarks evaluate AI systems based on their awareness of different scenarios and contexts. They could offer a more nuanced way to measure AI’s bias and its understanding of the world.Why it matters: The researchers were inspired to look into the problem of bias after witnessing clumsy missteps in previous approaches, demonstrating how ignoring differences between groups may in fact make AI systems less fair. But while these new benchmarks could help teams better…