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 is going to occur quickly—not solely at Lincoln Electrical however for all electrical utilities—is a problem of a special 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 total story.
—Andrew Blum
This story is from the subsequent print version of MIT Expertise Evaluation, which explores energy—who has it, and who needs it. It’s set to go dwell on Wednesday June 25, so subscribe & save 25% to learn it and get a replica of the problem when it lands!
OpenAI can rehabilitate AI fashions that develop a “dangerous boy persona”
A brand new paper from OpenAI exhibits slightly little bit of dangerous coaching could make AI fashions go rogue—but in addition demonstrates that this downside is mostly fairly straightforward to repair.
Again in February, a bunch of researchers found that fine-tuning an AI mannequin by coaching it on code that comprises sure safety vulnerabilities might trigger the mannequin to reply with dangerous content material, even when the person inputs fully benign prompts.
An OpenAI workforce claims that this conduct happens when a mannequin primarily shifts into an undesirable character kind—just like the “dangerous boy persona,” an outline their misaligned reasoning mannequin gave itself—by coaching on unfaithful data.
Nonetheless, the researchers discovered they might detect proof of this misalignment, they usually might even shift the mannequin again to its common state. Learn the total story.
—Peter Corridor
