Is that this the electrical grid of the long run?
Lincoln Electrical System, a publicly owned utility in Nebraska, is used to weathering extreme blizzards. However what’s going to occur quickly—not solely at Lincoln Electrical however for all electrical utilities—is a problem of a distinct order.
Utilities should hold the lights on within the face of extra excessive and extra frequent storms and fires, rising dangers of cyberattacks and bodily disruptions, and a wildly unsure coverage and regulatory panorama. They have to hold costs low amid inflationary prices. And so they should adapt to an epochal change in how the grid works, because the business makes an attempt to transition from energy generated with fossil fuels to energy generated from renewable sources like photo voltaic and wind.
The electrical grid is bracing for a close to future characterised by disruption. And, in some ways, Lincoln Electrical is a perfect lens by which to look at what’s coming. Learn the complete story.
—Andrew Blum
This story is from the following print version of MIT Know-how Evaluate, which explores energy—who has it, and who desires it. It’s set to go dwell on Wednesday June 25, so subscribe & save 25% to learn it and get a replica of the difficulty when it lands!
OpenAI can rehabilitate AI fashions that develop a “dangerous boy persona”
A brand new paper from OpenAI reveals somewhat little bit of dangerous coaching could make AI fashions go rogue—but additionally demonstrates that this downside is usually fairly simple to repair.
Again in February, a bunch of researchers found that fine-tuning an AI mannequin by coaching it on code that incorporates sure safety vulnerabilities might trigger the mannequin to reply with dangerous content material, even when the person inputs fully benign prompts.
An OpenAI staff claims that this habits happens when a mannequin primarily shifts into an undesirable persona sort—just like the “dangerous boy persona,” an outline their misaligned reasoning mannequin gave itself—by coaching on unfaithful data.
Nevertheless, the researchers discovered they may detect proof of this misalignment, and so they might even shift the mannequin again to its common state. Learn the complete story.
—Peter Corridor
