Can we trust systems we don’t fully understand?
Category: robotics/AI – Page 49
How AI, robots and other cutting-edge technologies can keep workers safe and sound
Can artificial intelligence, robots and surveillance protect workers on the job? Yes, according to the latest report from the International Labour Organization. In this episode of the Future of Work podcast, ILO occupational safety and health expert Manal Azzi explains how AI and technology is being used as a safety net, and not a threat, for workers worldwide.
Scientists find ‘speed limit’ for innovation networks to prevent system collapse
Research shows that while connections between innovations speed discovery, they also sharply increase the risk of total system collapse—with the sweet spot for sustainable innovation proving surprisingly narrow.
Innovation is a central currency of global power. Whether in the race for leadership in artificial intelligence, the development of clean energy technologies, or the search for medical breakthroughs, major players like China, the United States, and the European Union are investing billions in research and development to secure the next technological leap—and with it, economic and strategic advantage.
Yet, as a new study from the Complexity Science Hub (CSH), published in Physical Review Research, indicates, long-term innovation is only sustainable under specific structural conditions. First, the study finds that innovation can only endure over time if it is balanced with “exnovation”—the loss or forgetting of older possibilities.
Machine learning model helps scientists understand deadly cone snail toxins
Marine cone snails are host to a family of dangerous neurotoxins. Very little is known about how those toxins interact with the human body, making this an area of interest for medical drug research and an area of concern in national security spaces. For the first time, a team at Los Alamos National Laboratory has successfully trained a machine learning model that predicts how alpha conotoxins bind to specific human receptor subtypes, which could help researchers develop lifesaving anti-toxins.
“Because of the diversity and complexity of natural conotoxins, it is estimated that only 2% of them have been sequenced,” said Gnana Gnanakaran, theoretical biologist at Los Alamos. “No antidotes exist for conotoxins, but by using machine learning to predict conotoxin binding, we now have the ability to develop tools to understand and respond to these threats.”
The deadly secretions issued by any one of the more than 800 cone snail species represent a conglomeration of more than 1 million natural conotoxins. The research team concentrated their machine learning work on alpha conotoxins, a particularly prevalent and deadly conotoxin family.
Grok Imagine, xAI’s new AI image and video generator, lets you make NSFW content
Elon Musk’s AI company has officially rolled out Grok Imagine, xAI’s image and video generator, to all SuperGrok and Premium+ X subscribers on its iOS app. And true to form for Musk, who positions Grok as an unfiltered, boundary-pushing AI, the generator allows users to make NSFW content.
Grok Imagine, which promises to turn text or image prompts into a 15-second video featuring native audio, has a “spicy mode” that allows users to generate sexually explicit content, including partial female nudity. There are limits to how explicit one can get. Many of our spicier prompts — made in the name of Journalism! — generate blurred-out images that are “moderated” and therefore inaccessible. We were, however, able to generate semi-nude imagery.
The NSFW content is unsurprising for xAI, given the release last month of a raunchy, hyper-sexualized anime AI companion. But just as Grok’s unrestrained nature was entertaining until it started spewing hateful, antisemitic, misogynistic content, Grok Imagine could be poised to bring its own set of unintended consequences.
