AI-detection tools are getting better. Basically every recent, high-profile accusation of someone passing off AI-generated writing as their own has started in the same way: with a tool called Pangram. In March, when a horror novel from a major publishing house was pulled just days before its scheduled U.S. release date, it was in part because Pangram, an AI-detection program, had identified the text as AI-generated. Other people have fed text into Pangram to suggest that chatbots have been used to write articles in major newspapers including, multiple short stories awarded a prestigious literary prize, and most recently, significant chunks of Pope Leo XIV's encyclical warning about the dangers of AI. The tool is also used by universities to vet student work and scientific associations to scan research papers.

There's Never Been a Better Time to Study Computer Science Even as AI progresses, coders aren't doomed. It's a weird time to be studying computer science. Recent grads have a higher unemployment rate than those in just about every other major--yes, even philosophy. The internet is littered with rants from newly minted programmers who can't find work. On one such YouTube video, the top comment reads: "Your first mistake is not being born earlier."

Things to Do in L.A. Tap to enable a layout that focuses on the article. Children and parents at a recent L.A. Unified school board meeting where screen-time limits were discussed. This is read by an automated voice. Please report any issues or inconsistencies here . The L.A. Board of Education got its first look at proposed screen-time limits for students, including a total ban until secnd grade.

Things to Do in L.A. Tap to enable a layout that focuses on the article. Alberto Carvalho sits with third-grade students as he visits classrooms at Lenicia B. Weemes Elementary School on the first day of classes for LAUSD students in 2023. This is read by an automated voice. Please report any issues or inconsistencies here . Leaders who helped drive L.A. Unified's recent test-score gains are exiting as Supt.

The Enrollment Cliff Is Here. Which Schools Will Survive It? As the number of new high-school graduates drops, colleges will close, some will merge, and others may change beyond recognition. This series on the future of higher education started with a simple question: Should I still be contributing to my children's college funds? My first attempt to answer that question centered on the growing disillusionment with higher education in general.

Former Google CEO Eric Schmidt was booed by students as he spoke about the rise of artificial intelligence during his speech at University of Arizona's graduation ceremony, underscoring growing anxiety over AI's impact on jobs. I know what many of you are feeling about that. I can hear you, Schmidt told graduates as jeers rang out at the venue during remarks comparing today's AI boom to the rise of computers four decades ago. The reaction reflects a broader unease on campuses, where speakers who mention AI are increasingly being met with hostility from students. A recent poll suggests many students view AI as both a threat to their future and an obstacle to their intellectual development.

The rise of AI tools that instantly answer questions and complex problems could make humans less intelligent, the Royal Observatory Greenwich has warned. The Observatory, one of the UK's oldest purpose-built scientific institutions, is known for its contributions to astronomy. Paddy Rodgers, director of the Royal Museums Greenwich group which oversees it, said its rich history of research showed the power of human knowledge and curiosity - and the need to avoid complete dependence on AI. A reliance solely on instant answers risks losing the habits of questioning and evaluation that underpin knowledge, expertise and innovation, he said. Rodgers' remarks come amid an ongoing transformation of the Royal Observatory in a project called First Light. The project hopes to seize on the passion of all the astronomers over the last 350 years, and interpret that passion through science, Rodgers told the BBC.

My Son's Math Homework Is Essentially Just Pokémon Education games are taking over American classrooms. One afternoon earlier this year, my 11-year-old son was sitting at his laptop and working quietly on his math homework. At least, that's what he was supposed to be doing. When I glanced at his screen, equations were nowhere to be seen. He was controlling a monster in the midst of battle, casting magic spells to outduel an opposing player.

Students at one of Russia's leading engineering universities are getting a lucrative offer: ditch their studies for a year, fly drones for the military and earn more than 5 million rubles ($68,275) in pay as well as free tuition on their return. Pamphlets distributed at Bauman Moscow State Technical University promise students who sign up for the unmanned systems forces will fly drones from far behind the front lines, but still qualify for combat veteran status. It's part of a broader push across Russia to recruit university and college students, using lavish signing bonuses, academic leave and even outright coercion to convince young men to join the fight. At least 270 institutions are actively promoting military contracts, according to the independent magazine Groza, which specializes in higher education and student issues. In a time of both misinformation and too much information, quality journalism is more crucial than ever. By subscribing, you can help us get the story right.

We study the information-theoretic limits of learning a one-hidden-layer teacher network with hierarchical features from noisy queries, in the context of knowledge transfer to a smaller student model. We work in the high-dimensional regime where the teacher width $k$ scales linearly with the input dimension $d$ -- a setting that captures large-but-finite-width networks and has only recently become analytically tractable. Using a heuristic leave-one-out decoupling argument, validated numerically throughout, we derive asymptotically sharp characterizations of the Bayes-optimal generalization error and individual feature overlaps via a system of closed fixed-point equations. These equations reveal that feature learnability is governed by a sequence of sharp phase transitions: as data grows, teacher features become recoverable sequentially, each through a discontinuous jump in overlap. This sequential acquisition underlies a precise notion of \textit{effective width} $k_c$ -- the number of learnable features at a given data budget $n$ -- which unifies two distinct scaling regimes: a feature-learning regime in which the Bayes-optimal generalization error $\varepsilon^{\rm BO}$ scales as $ n^{1/(2β)-1}$, and a refinement regime in which it scales as $n^{-1}$, where $β>1/2$ is the exponent of the power-law feature hierarchy. Both laws collapse to the single relation $\varepsilon^{\rm BO}=Θ(k_c d/n)$. We further show empirically that a student trained with \textsc{Adam} near the effective width $k_c$ achieves these optimal scaling laws (up to a small algorithmic gap), and provide an information-theoretic account of the associated scaling in model size.