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Trump admin to proceed with groundbreaking flash flood risk database, reversing course after media reports

Trump admin to proceed with groundbreaking flash flood risk database, reversing course after media reports

CNN3 days ago
The Trump administration has changed course and is moving ahead with work to develop a new database that would provide Americans with precise estimates of their flash flood risk in a warming world, according to a National Oceanic and Atmospheric Administration official and an internal NOAA email seen by CNN that was sent Friday morning.
The administration had paused work on the portion of the database, known as Atlas 15, that is designed to show how a warming world is amplifying flood risks. The database would be the first such resource to take this into account and would have applications for everyone from civil engineers to prospective homeowners.
After reporting by CNN and the Washington Post this week and following discussions between NOAA leadership and Commerce Department officials, NOAA received permission to move forward with both parts of the analysis through fiscal year 2026, the official said.
As CNN previously reported, the pause came during a summer of deadly flash floods, including the disastrous flash flood event in Texas on the night of July 4 that killed at least 130 people.
CNN has contacted NOAA for comment.
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Atlas 15 would replace the outdated database of precipitation frequency estimates, known as Atlas 14, that does not take climate change to date into account, let alone future warming.
Global warming is increasing the frequency and severity of extreme precipitation events, yet US infrastructure is currently designed based on Atlas 14's outdated information about the size and frequency of 100-year precipitation events.
In other words, designers and builders of infrastructure in this country conduct their work with the notion that the worst rainfall events are occurring less frequently and are less severe than they are.
The first phase of Atlas 15 updates the precipitation frequency estimates across the country but does not include climate change projections. That volume is slated to come out later this year and had not hit roadblocks.
The second phase of Atlas 15, whose contracts were paused until Friday, is slated to come out in 2026.
Contracts for work on Atlas 15 had been paused for about a month, raising suspicions that the project was in jeopardy due to its climate change content. Recently, the Trump administration has taken down the climate.gov website, disbanded experts working on a congressionally-mandated national climate assessment and pursued other actions to stifle climate science research.
When combined, the two volumes would comprise a national, interactive database of precipitation frequency estimates, including future projections, such as the statistical likelihood of a 100-year rainfall event at a particular spot each year. (A 100-year rainfall event is one that is so intense, it is only expected to occur once every 100 years on average.)
The database will have information on how the likelihood and severity of 100-year rainfall events, as well as even rarer events – such as 1,000-year rainstorms, will shift depending on how much the planet warms during the next several decades.
Atlas 15 is supposed to move NOAA, and those who depend on the agency, from an outdated assumption that the climate of today is roughly equivalent to that of several decades ago to a recognition that precipitation extremes are in the process of changing due largely to the burning of fossil fuels for energy and transportation.
A pilot phase of Atlas 15, containing present day precipitation risk estimates solely for the state of Montana was released last year. It also shows how rainfall rates for 100-year events could increase with continued global warming.
The Montana estimates include projections for precipitation frequency estimates at 3 degrees Celsius of global warming as well as 1.5 degrees of warming. The world has already warmed by at least 1.2 degrees.
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How AI is impacting trust among college students and teachers
How AI is impacting trust among college students and teachers

Fast Company

time26 minutes ago

  • Fast Company

How AI is impacting trust among college students and teachers

The advent of generative AI has elicited waves of frustration and worry across academia for all the reasons one might expect: Early studies are showing that artificial intelligence tools can dilute critical thinking and undermine problem-solving skills. And there are many reports that students are using chatbots to cheat on assignments. But how do students feel about AI? And how is it affecting their relationships with peers, instructors and their coursework? I am part of a group of University of Pittsburgh researchers with a shared interest in AI and undergraduate education. While there is a growing body of research exploring how generative AI is affecting higher education, there is one group that we worry is underrepresented in this literature, yet perhaps uniquely qualified to talk about the issue: our students. Our team ran a series of focus groups with 95 students across our campuses in the spring of 2025 and found that whether students and faculty are actively using AI or not, it is having significant interpersonal, emotional effects on learning and trust in the classroom. While AI products such as ChatGPT, Gemini or Claude are, of course, affecting how students learn, their emergence is also changing their relationships with their professors and with one another. 'It's not going to judge you' Most of our focus group participants had used AI in the academic setting—when faced with a time crunch, when they perceive something to be 'busy work,' or when they are 'stuck' and worry that they can't complete a task on their own. We found that most students don't start a project using AI, but many are willing to turn to it at some point. Many students described positive experiences using AI to help them study or answer questions, or give them feedback on papers. Some even described using AI instead of a professor, tutor or teaching assistant. Others found a chatbot less intimidating than attending office hours where professors might be 'demeaning.' In the words of one interviewee: 'With ChatGPT you can ask as many questions as you want and it's not going to judge you.' But by using it, you may be judged. While some were excited about using AI, many students voiced mild feelings of guilt or shame about their AI use due to environmental or ethical concerns, or just coming across as lazy. Some even expressed a feeling of helplessness, or a sense of inevitability regarding AI in their futures. Anxiety, distrust and avoidance While many students expressed a sense that faculty members are, as one participant put it, 'very anti-ChatGPT,' they also lamented the fact that the rules around acceptable AI use were not sufficiently clear. As one urban planning major put it: 'I feel uncertain of what the expectations are,' with her peer chiming in, 'We're not on the same page with students and teachers or even individually. No one really is.' Students also described feelings of distrust and frustration toward peers they saw as overly reliant on AI. Some talked about asking classmates for help, only to find that they 'just used ChatGPT' and hadn't learned the material. Others pointed to group projects, where AI use was described as 'a giant red flag' that made them 'think less' of their peers. These experiences feel unfair and uncomfortable for students. They can report their classmates for academic integrity violations—and enter yet another zone in which distrust mounts—or they can try to work with them, sometimes with resentment. 'It ends up being more work for me,' a political science major said, 'because it's not only me doing my work by myself, it's me double checking yours.' Distrust was a marker that we observed of both student-to-teacher relationships and student-to-student relationships. Learners shared fears of being left behind if other students in their classes used chatbots to get better grades. This resulted in emotional distance and wariness among students. Indeed, our findings reflect other reports that indicate the mere possibility that a student might have used a generative AI tool is now undercutting trust across the classroom. Students are as anxious about baseless accusations of AI use as they are about being caught using it. Students described feeling anxious, confused and distrustful, and sometimes even avoiding peers or learning interactions. As educators, this worries us. We know that academic engagement—a key marker of student success—comes not only from studying the course material, but also from positive engagement with classmates and instructors alike. AI is affecting relationships Indeed, research has shown that faculty-student relationships are an important indicator of student success. Peer-to-peer relationships are essential too. If students are sidestepping important mentoring relationships with professors or meaningful learning experiences with peers due to discomfort over ambiguous or shifting norms around the use of AI technology, institutions of higher education could imagine alternative pathways for connection. Residential campuses could double down on in-person courses and connections; faculty could be incentivized to encourage students to visit during office hours. Faculty-led research, mentoring and campus events where faculty and students mix in an informal fashion could also make a difference. We hope our research can also flip the script and disrupt tropes about students who use AI as 'cheaters.' Instead, it tells a more complex story of students being thrust into a reality they didn't ask for, with few clear guidelines and little control. As generative AI continues to pervade everyday life, and institutions of higher education continue to search for solutions, our focus groups reflect the importance of listening to students and considering novel ways to help students feel more comfortable connecting with peers and faculty. Understanding these evolving interpersonal dynamics matters because how we relate to technology is increasingly affecting how we relate to one another. Given our experiences in dialogue with them, it is clear that students are more than ready to talk about this issue and its impact on their futures. Acknowledgment: Thank you to the full team from the University of Pittsburgh Oakland, Greensburg, Bradford and Johnstown campuses, including Annette Vee, Patrick Manning, Jessica FitzPatrick, Jessica Ghilani, Catherine Kula, Patty Wharton-Michael, Jialei Jiang, Sean DiLeonardi, Birney Young, Mark DiMauro, Jeff Aziz, and Gayle Rogers.

Material Needs of Artificial Intelligence Eclipsed by Energy Debates
Material Needs of Artificial Intelligence Eclipsed by Energy Debates

Forbes

time27 minutes ago

  • Forbes

Material Needs of Artificial Intelligence Eclipsed by Energy Debates

Artificial Intelligence technologies will require a range of neglected materials President Trump attended an important summit on Artificial Intelligence (AI) and concomitant energy infrastructure at Carnegie Mellon University in Pittsburgh on July 15th, 2025. Major investments were announced by Google and Blackstone investment to build data centers and hydroelectric dams in Pennsylvania to power the AI economy for the region. Missing from the conversations was the material needs for AI technologies that could be just as serious resource constraint to upscaling the use of these technologies. While there is much talk of critical minerals for defense and for clean energy infrastructure, the material needs of AI are not as prominently discussed. Concerns about energy intensity dominate debates about AI. Carbon emissions estimates have also been researched by Google researchers using Life Cycle Analysis techniques, but the materiality of AI infrastructure has not been well-researched. In her prominent book Atlas of AI, renowned Microsoft researcher and academic Kate Crawford documents the vast extractive needs of AI but notes that detailed analysis of materials that will be needed has been sparse. Part of the challenge is the secrecy around AI hardware material needs. At a recent colloquium on critical materials for AI hosted by Professor Alondra Nelson at the Institute for Advanced Study in Princeton New Jersey, researchers lamented that confidentiality concerns often prevented forensic accounting of material needs for AI. Where estimates are available, they are often focused on the material needs for the electricity infrastructure needed for data centers. For example, the Wall Street Journal did a story earlier this year on the copper metal needs for AI but focused on the energy infrastructure needs. The article cited JP Morgan forecasts which suggested that the copper needed for AI energy supply would require another 2.6 million tons of copper adding to the projected 4-million-ton projected metal deficit by 2030. There was a reference to a Bank of America study in the article which differentiated the material needs of the data centers themselves at around 200,000 metric tons a year compared with 500,000 tons annually for energy infrastructure. Yet these are only estimates for one metal. Gallium has gained some interest in recent years because of its high-performance potential in AI chips but systematic estimates of upscaling supply are limited. Journalists and academics alike also conflate material needs due to a lack of understanding of the chemistry of these technologies. For example, lithium is largely needed for batteries that are not necessarily an AI infrastructure issue but can get conflated in discussions on any novel technological entity. Indium and arsenic will also be needed for refined chip technologies but there are no clear estimates of projected demand. Similarly, germanium demand is expected to increase with AI infrastructure but only rough estimates of 60% growth by 2034 are available via consulting firms with no peer-reviewed research on demand growth linked to particular targets for AI penetration in various technologies. High purity alumina is another key material for AI technologies which also presents important opportunities for innovation in deriving the material from a range of existing material stocks. Australia is going to be a key provider of this material and has recently started construction of the world's largest factory for its production in Gladstone, Queensland. Quantum computing may also take on many roles of conventional AI processors in coming years. While many of the metals needed for this infrastructure may be similar, there are some notable additions of materials such as boron and ytterbium which are also specifically more well-suited for quantum computing technologies. Superconductors with a range of exotic material needs are essential for quantum computing. These materials also operate only at lower temperature ranges and hence additional infrastructure for cooling would be needed above and beyond what is already needed for data centers. As momentum builds towards international governance of AI and the findings of the U.N. Secretary General's High Level Advisory Board on Artificial Intelligence get implemented, a sharp focus on material forecasts is needed. Scenarios for mineral demand which are linked to specific upscaling targets of countries for AI infrastructure should be developed. Based on those scenarios, a prioritization of those tasks for which AI has most societal benefit should be developed. In some cases, AI could itself assist with material efficiency. In coming years research have a highly consequential area for inquiry set before them on figuring out optimal material usage profile for AI technologies and how they might transform both our physical and social reality.

Former Astronomer Employee Shares Candid Thoughts About Andy Byron Amid 'Kiss Cam' Controversy
Former Astronomer Employee Shares Candid Thoughts About Andy Byron Amid 'Kiss Cam' Controversy

Yahoo

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  • Yahoo

Former Astronomer Employee Shares Candid Thoughts About Andy Byron Amid 'Kiss Cam' Controversy

Andy Byron, the now former CEO of the open-source technology company Astronomer, has had an eventful week, and it doesn't appear to be slowing down anytime soon. After being catapulted into the headlines for an awkward "kiss cam" moment with Astronomer's HR Chief, Kristin Cabot, Byron has resigned from the company, leaving his future as a high-profile executive in limbo. Although he hasn't released an official statement regarding the matter, one of his former Astronomer colleagues has spoken about the incident, calling it an "unfortunate development." A Former Astronomer Colleague Has Spoken Out About Working With Andy Byron Ry Walker—who, ironically, is the former CEO of Astronomer (2015-2019)—recently posted on X, the social media platform formerly known as Twitter, to share his thoughts on Byron's unfolding situation. "I've found Andy to be professional, I've only ever been on a call with him once," he wrote. "Everyone on the team has praised his leadership to me. So I think this is an unfortunate development that comes as a big surprise." What Happened With Byron And The Astronomer HR Chief? According to a previous report from The Blast, Byron was seen cuddled up with Astronomer's HR Chief, Kristin Cabot, during a recent Coldplay concert in Massachusetts. During a segment of the show where Coldplay's frontman, Chris Martin, highlights couples in the crowd with the "kiss cam," the spotlight landed on Byron and Cabot. Instead of embracing, however, Byron ducked behind a fixture, and Cabot turned her back toward the camera, causing confused reactions around the stadium and online. Coldplay's Lead Singer Called Out The Strange Behavior Martin himself even noticed the strange energy and stated, "Oh, what ... either they're having an affair or they're very shy." Shortly after, the awkward moment went viral online, prompting Astronomer to announce it was launching an official investigation into the matter. 'Astronomer is committed to the values and culture that have guided us since our founding. Our leaders are expected to set the standard in both conduct and accountability,' the company said across its social media platforms on Friday, July 18. 'The Board of Directors has initiated a formal investigation into this matter and we will have additional details to share very shortly.' A day later, the company announced that Byron had officially resigned, and that the search for his replacement would begin immediately. Celebrities Call Out Former Astronomer CEO For Reckless Behavior The news of Byron and Cabot's Coldplay fiasco has even drawn the attention of former "Real Housewives" stars. On TikTok, Bethenny Frankel criticized Byron for lacking discretion, asking, "What the f-ck were you thinking?" 'What's wrong with a Motel 6? Who could you not run into at a Coldplay concert?' the reality star said in her video. 'Who could you not run into at a Coldplay concert? Your third-grade teacher, your gynecologist, your college fraternity brother, your daughter's cheerleading captain. It's not like it's a Metallica concert," she continued. Frankel drove her point home by saying that Byron and Cabot could have also run into "Dan from accounting" and "Jane from [human resources]" there as well. In the comment section of her video, one of Frankel's followers wrote, "Baby, she WAS Jane from HR." Byron Previously Spoke Highly Of Cabot After She Was Appointed To A New Position Adding another layer of complication to the alleged affair is the fact that Cabot was recently promoted to Chief People Officer of Astronomer in November 2024. At the time, Byron was quoted in an official press release, praising Cabot for being a "proven leader at multiple growth-stage companies" and highlighting her "passion for fostering diverse, collaborative workplaces." Cabot was also quoted in the release, saying, 'I prefer to think of my role as people strategy versus traditional human resources, as the real magic happens when you align the people strategy with the business strategy." She continued, 'There are plenty of companies out there where a leadership team doesn't recognize the value that a strong people leader and people team can bring to a company. It's not just about benefits or catered lunches. There's so much more to it, and I was energized in my conversations with Andy and the Astronomer leadership team about the opportunities that exist here.' Solve the daily Crossword

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