OpenAI's President Gave Millions to Trump. He Says It's for Humanity In an interview with WIRED, Greg Brockman says his political donations support OpenAI's mission--even if some employees at the company disagree. OpenAI's president and cofounder Greg Brockman doesn't consider himself political, which is surprising, because he was one of President Trump's biggest individual donors of 2025. Greg and his wife, Anna Brockman, gave $25 million to MAGA Inc--a super PAC that supports President Trump--in September of last year. The pair also gave $25 million to a bipartisan AI super PAC, Leading the Future, which says it plans to oppose politicians that jeopardize Americans' "ability to benefit from AI."

Doctor at Jeffrey Epstein's post-mortem says the paedophile was strangled and NOT hanged Married California coffee growing pioneers die in'tragic accident' leaving their three children orphaned Lindsey Vonn's'primary goal is to keep her leg': Knee specialist warns Winter Olympics legend could face amputation or'lifelong consequences' after'motorcycle-style' skiing crash Disturbing Kurt Cobain autopsy details revealed for first time: As new probe claims Nirvana singer's death was a HOMICIDE, here's the evidence that convinced forensic investigators HGTV star was canned after vile video leak... now insiders make bombshell claims about what else she was doing behind the scenes: 'Unhinged' Gwyneth Paltrow's'nepo baby' Apple Martin, 21, reveals what cosmetic procedures she has had done Nashville's hottest couple engulfed by cheating storm as insiders declare: 'It's over' Jill Zarin's replacement REVEALED after racist Bad Bunny rant got her sacked from her TV comeback Scientists are ...

ICINCO 2025 (22nd International Conference on Informatics in Control, Automation and Robotics) received 158 paper submissions from 42 countries. To evaluate each submission, a double-blind paper review was performed by the Program Committee. After a stringent selection process, 43 papers were published and presented as full papers, i.e. completed work (12 pages/25' oral presentation), 86 papers were accepted as short papers (51 as oral presentation). The organizing committee included the ICINCO Conference Chair: Dimitar Filev, Ford Research, United States, and the ICINCO 2025 Program Chairs: Giuseppina Carla Gini, Politecnico di Milano, Italy, and Radu-Emil Precup, Politehnica University of Timisoara, Romania. At the closing session, the conference acknowledged a few papers that were considered excellent in their class, presenting a "Best Paper Award", "Best Student Paper Award", "Best Poster Award", and "Best Industrial Paper Award" for the conference.

How can robots acquire skills through interactions with the physical world? One of the key challenges in building robots for household or industrial settings is the need to master the control of high-degree-of-freedom systems such as mobile manipulators. Reinforcement learning has been a promising avenue for acquiring robot control policies, however, scaling to complex systems has proved tricky. In their work SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL, and introduce a method that renders real-world reinforcement learning feasible for complex embodiments. We caught up with Jiaheng to find out more.

SuperGLUE, a new benchmark styled after GLUE with a new set of more difficult language understanding tasks, a software toolkit, and a public leaderboard. SuperGLUE is available at super.gluebenchmark.com.

You were awarded an Honourable Mention for the 2019 AAAI / ACM SIGAI Doctoral Dissertation Award. What was the topic of your dissertation research, and what were the main contributions or findings? My PhD dissertation was on the topic of Visual Question Answering, called VQA. We proposed the task of open-ended and free-form VQA - a new way to benchmark computer vision models by asking them questions about images. We curated a large-scale dataset for researchers to train and test their models on this task.

Have you retrained or moved careers due to your previous career path being at risk of an artificial intelligence takeover? Please include as much detail as possible. Did you have a dream profession that you have decided not to pursue because of fears it will be thwarted by AI? Optional Please include as much detail as possible.

This story appears in the March 2026 print edition. While some stories from this issue are not yet available to read online, you can explore more from the magazine . Get our editors' guide to what matters in the world, delivered to your inbox every weekday. America Isn't Ready for What AI Will Do to Jobs Does anyone have a plan for what happens next? In 1869, a group of Massachusetts reformers persuaded the state to try a simple idea: counting. The Second Industrial Revolution was belching its way through New England, teaching mill and factory owners a lesson most M.B.A. students now learn in their first semester: that efficiency gains tend to come from somewhere, and that somewhere is usually somebody else. They were operating at speeds that the human body--an elegant piece of engineering designed over millions of years for entirely different purposes--simply wasn't built to match. The owners knew this, just as they knew that there's a limit to how much misery people are willing to tolerate before they start setting fire to things. Still, the machines pressed on. Check out more from this issue and find your next story to read. So Massachusetts created the nation's first Bureau of Statistics of Labor, hoping that data might accomplish what conscience could not. By measuring work hours, conditions, wages, and what economists now call "negative externalities" but were then called "children's arms torn off," policy makers figured they might be able to produce reasonably fair outcomes for everyone. A few years later, with federal troops shooting at striking railroad workers and wealthy citizens funding private armories--leading indicators that things in your society aren't going great--Congress decided that this idea might be worth trying at scale and created the Bureau of Labor Statistics. Measurement doesn't abolish injustice; it rarely even settles arguments. But the act of counting--of trying to see clearly, of committing the government to a shared set of facts--signals an intention to be fair, or at least to be caught trying. It's one way a republic earns the right to be believed in. The BLS remains a small miracle of civilization.