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"This is a broader pattern we're seeing across other fields where LLMs are being deployed. Whether it's coding, writing, design, law, or medicine, the most effective AI users are people who already have deep domain expertise. Expertise isn't obsolete; it's more important than ever-because the value isn't just in producing outputs quickly. It's in being able to vet, steer, and improve those outputs. The future of computer science education isn't about teaching less. It's about teaching differently. We still need students who can understand how software works at a fundamental level. But we also need to train them to collaborate with AI-to become fluent in prompting, reviewing, debugging, and refining AI-generated outputs. Mastering this hybrid skillset will be critical not just for engineers, but for anyone hoping to thrive in a world where knowledge work is increasingly AI-augmented. Practically speaking, AI could dramatically lower the barrier to entry for students. When I was in high school, it would take months (if not years) of training in CS before you could create a game or app that was genuinely cool to people that aren't inherently curious and nerdy."

"Generative AI chatbots fail to adequately reflect fossil fuel companies' complicity in the climate crisis, a Global Witness investigation has found"

"And so I think this is a crisis. I think the biggest part of the crisis is for teachers. A lot of people suggest teachers go back to Blue Book exams, right? At least then we can make sure that the student is really doing their work. But that's just a huge burden on teachers now to completely reorganize the entire way that they administer education. I couldn't agree more. Kevin Roose of the New York Times recently said, "if students can cheat with ChatGPT then you need to rethink your teaching." Well, I've been working in education for almost two decades, that's exactly what people said when smartphones came around. And now, 10 years later, we've come around to just banning them in school, or trying to anyway. And I wonder if we're going to need to wait a decade before reaching that conclusion in education."

""We want to build AIs that will be honest and not deceptive," Bengio said. He added: "It is theoretically possible to imagine machines that have no self, no goal for themselves, that are just pure knowledge machines - like a scientist who knows a lot of stuff." However, unlike current generative AI tools, Bengio's system will not give definitive answers and will instead give probabilities for whether an answer is correct."

"For higher-complexity problems, however, the models would enter "collapse", failing to generate any correct solutions. In one case, even when provided with an algorithm that would solve the problem, the models failed. The paper said: "Upon approaching a critical threshold - which closely corresponds to their accuracy collapse point - models counterintuitively begin to reduce their reasoning effort despite increasing problem difficulty." The Apple experts said this indicated a "fundamental scaling limitation in the thinking capabilities of current reasoning models"."

"The reported ownership of LLM group's essays in the interviews was low. The Search Engine group had strong ownership, but lesser than the Brain-only group. The LLM group also fell behind in their ability to quote from the essays they wrote just minutes prior. As the educational impact of LLM use only begins to settle with the general population, in this preliminary study we demonstrate the pressing matter to explore further any potential changes in learning skills based on the results of our study. "

"Google is now showing ads in chatbot conversations via its AdSense for Search network, marking a shift in its digital advertising strategy as generative AI becomes not only more commonplace, but increasingly used in place of traditional search engine tools. Previously, ads were shown within the search results of other websites, however Google added them to conversations with chatbots operated by AI startups earlier in 2025 (via Bloomberg)."

"Disney and Universal filed a lawsuit Wednesday claiming that Midjourney ignored their earlier requests to cease violating their intellectual property rights, according to The Wall Street Journal. The suit, filed in the U.S. District Court for the Central District of California, includes dozens of examples of images generated by Midjourney that depict the studio's copyrighted characters, like Homer Simpson and Darth Vader."

"The creators of a revolutionary AI system that can write news stories and works of fiction - dubbed "deepfakes for text" - have taken the unusual step of not releasing their research publicly, for fear of potential misuse."

"Virtual reality company, AVRT, has been collaborating with the force to create realistic computer generated scenarios officers might be in, such as dealing with a person in an alleyway or a rooftop"

"Soon, Reddit will be overrun by bots. There are many of them here already, but it's nothing like what we are about to see. Reddit is about to become a battleground. A test site for a new age of social media. Perhaps even civilization. Things are going to get weird."

"This time the model could look at both the surrounding words and the content of the image to fill in the blank. Through millions of repetitions, it could then discover not just the patterns among the words but also the relationships between the words and the elements in each image."

"Ah, but isn't creativity a slippery concept - something that's hard to define but that we nevertheless recognise when we see it? That hasn't stopped psychologists from trying to measure it, though, via tools such as the alternative uses test and the similar Torrance test. And it turns out that one LLM - GPT-4 - beats 91% of humans on the former and 99% of them on the latter. So as the inveterate artificial intelligence user Ethan Mollick puts it: "We are running out of creativity tests that AIs cannot ace.""

"DATA LEVERAGE CAN be deployed through at least four avenues: direct action (for instance, individuals banding together to withhold, "poison," or redirect data), regulatory action (for instance, pushing for data protection policy and legal recognition of "data coalitions"), legal action (for instance, communities adopting new data-licensing regimes or pursuing a lawsuit), and market action (for instance, demanding large language models be trained only with data from consenting creators). "

"Will this AI take jobs from artists? Where does copyright law land? Can machines ever truly produce something original? Should I feel guilty for making a picture of Tony Soprano having a cappuccino with Shrek and sharing it with my group chat?"

"We submitted the grant on time. The next day, while speaking to a friend, I told him, "This week, I wrote my first ChatGPT grant." He replied that he had been doing it for months and that many other scientists are doing the same. A 2023 Nature survey of 1,600 researchers found that more than 25% use AI to help them write manuscripts and that more than 15% use the technology to help them write grant proposals. Some people might see the use of ChatGPT in writing grant proposals as cheating, but it actually highlights a much bigger problem: what is the point of asking scientists to write documents that can be easily created with AI? What value are we adding? Perhaps it is time for funding bodies to rethink their application processes."