Group items tagged

"They still have far more advanced technology that they haven't made publicly available yet. Something that does more or less what Bard does could have been released over two years ago. They've had that technology for over two years. What they've spent the intervening two years doing is working on the safety of it - making sure that it doesn't make things up too often, making sure that it doesn't have racial or gender biases, or political biases, things like that. That's what they spent those two years doing. But the basic existence of that technology is years old, at this point. And in those two years, it wasn't like they weren't inventing other things. There are plenty of other systems that give Google's AI more capabilities, more features, make it smarter. The most sophisticated system I ever got to play with was heavily multimodal - not just incorporating images, but incorporating sounds, giving it access to the Google Books API, giving it access to essentially every API backend that Google had, and allowing it to just gain an understanding of all of it."

"What do today's AI-generated lesson plans look like? AI-generated lesson plans are already better than many people realise. Here's an example generated through the GPT-3 deep learning language model:"

"That's why the best systems may come from a combination of AI and human work; we can play to the machine's strengths, Ilievski says. But when we want to compare AI and the human mind, it's important to remember "there is no conclusive research providing evidence that humans and machines approach puzzles in a similar vein", he says. In other words, understanding AI may not give us any direct insight into the mind, or vice versa."

"Last week, Agence France-Presse reported that China had flaunted the gun-carrying robodogs in a 15-day joint military exercise with Cambodia dubbed the "Golden Dragon." And if images of the literal killing machines weren't troubling enough, a new video of the robots released yesterday by the state-owned broadcaster China Central Television shows the killing machine dutifully hopping and diving, leading teams in reconnaissance, and shooting its back-strapped machine gun at targets."

"In addition to their usual job of grubbing out bad human edits, they're having to spend an increasing amount of their time trying to weed out AI filler. 404 Media has talked to Ilyas Lebleu, an editor at the crowdsourced encyclopedia who was involved in founding the "WikiProject AI Cleanup" project. The group is trying to come up with best practices to detect machine-generated contributions. (And no, before you ask, AI is useless for this.)"

Tenant-screening systems like SafeRent are often used in place of humans as a way to 'avoid engaging' directly with the applicants and pass the blame for a denial to a computer system, said Todd Kaplan, one of the attorneys representing Louis and the class of plaintiffs who sued the company. The property management company told Louis the software alone decided to reject her, but the SafeRent report indicated it was the management company that set the threshold for how high someone needed to score to have their application accepted. Louis and the other named plaintiff alleged SafeRent's algorithm disproportionately scored Black and Hispanic renters who use housing vouchers lower than white applicants. SafeRent has settled. In addition to making a $2.3m payment, the company has agreed to stop using a scoring system or make any kind of recommendation when it comes to prospective tenants who used housing vouchers for five years.

"There is also a lot of research that both third-party fact-checking and Community Notes can be really effective at reducing misperceptions. But - and this is a significant caveat - neither works well as a complete solution for lies on social media. When Twitter was working on Birdwatch, they claimed it would "not replace other labels and fact checks Twitter currently uses". But as I've written about before, Musk scaled back Twitter's Trust and Safety team significantly and positioned Community Notes as the replacement. As Yoel Roth, Twitter's former head of Trust and Safety, told WIRED, "The intention of Birdwatch was always to be a complement to, rather than a replacement for, Twitter's other misinformation methods." In fact, research on various attempts to mitigate COVID misinformation found that a layered, "Swiss cheese" approach might work best, where some efforts work well sometimes, but collectively the system catches most falsehoods."

"Put more simply? We're in the midst of a digital slopaggedon, with the felt everyday impacts ranging from mild irritants like graphs about "uncoked kermelss" to more serious information erosions - the replacing of images of famous artworks and historical events with AI-generated fakes, for example, or the flooding of social media with fake AI-generated imagery during environmental disasters."

"The findings from those examples were striking: overall, those who trusted the accuracy of the AI tools found themselves thinking less critically, while those who trusted the tech less used more critical thought when going back over AI outputs. "The data shows a shift in cognitive effort as knowledge workers increasingly move from task execution to oversight when using GenAI," the researchers wrote. "Surprisingly, while AI can improve efficiency, it may also reduce critical engagement, particularly in routine or lower-stakes tasks in which users simply rely on AI, raising concerns about long-term reliance and diminished independent problem-solving." This isn't enormously surprising. Something we've observed in many domains, from self-driving vehicles to scrutinizing news articles produced by AI, is that humans quickly go on autopilot when they're supposed to be overseeing an automated system, often allowing mistakes to slip past."

"But Duolingo now seems to have changed its tune, at least in terms of hiring. CEO Luis von Ahn wrote in a LinkedIn post earlier this week: "To be clear: I do not see AI as replacing what our employees do (we are, in fact, continuing to hire at the same speed as before). I see it as a tool to accelerate what we do, at the same or better level of quality. And the sooner we learn how to use it-and use it responsibly-the better off we will be in the long run." Though many language learners obviously appreciate the human touch on their materials, Duolingo isn't the only one leaning toward AI for language education. Last month, Google applied its flagship Google Gemini AI model to create three new tools, dubbed Little Language Lessons, accessible via the Google Labs page. However, Google did dub the new set of tools as "just an early exploration.""