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AI continues to change the video game industry

Like many others, the video game industry is undergoing changes with the rise of artificial intelligence

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Jul 31 • 8:08 PM EDT • Entertainment • spectrumlocalnews.com
Race Matters: When AI Learns Our Bias featuring Professor of Computer Science Ian Davidson

Artificial intelligence is rapidly becoming part of how we work, learn and make decisions. But AI doesn't think independently — it learns from the data and information people provide. As a result, these systems can reproduce or even amplify patterns of bias that already exist in society.

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Jul 31 • 7:23 PM EDT • Science • engineering.ucdavis.edu
New Intel Drop On New Orleans Pelicans' Bennedict Mathurin Pursuit

The New Orleans Pelicans' pursuit of Los Angeles Clippers guard Bennedict Mathurin runs far deeper than just his offseason.

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Jul 31 • 2:31 PM EDT • Sports • sports.yahoo.com
Is AI Reasoning Right for the Wrong Reasons?

The idea that artificial intelligence can “reason” is more intuitive than ever. But intuitions can be wrong, and the science is far from settled.

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Jul 31 • 10:50 AM EDT • Science • quantamagazine.org
UC San Diego expert available: The business of Hollywood—from Toy Story to the Paramount-Warner merger

As Hollywood continues to reshape itself through blockbuster franchises and industry consolidation, UC San Diego associate professor of communication Shawna Kidman is available to provide context on the forces transforming the entertainment business. Kidman studies media industries, intellectual property, mergers and acquisitions, and the business strategies behind Hollywood's biggest successes. Her research examines how companies build enduring franchises, why media consolidation matters to co

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Jul 31 • 4:00 AM EDT • Business • newswise.com
Tim Cook sees Apple's hybrid AI strategy as a 'competitive weapon'

Ahead of the launch of Siri AI, Apple's outgoing CEO Tim Cook said the company will charge for artificial intelligence through iCloud.

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Jul 30 • 8:23 PM EDT • Technology • cnbc.com
Tim Cook says heavy Siri users may have to pay extra

Heavy users of Apple Intelligence may need an iCloud+ subscription

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Jul 30 • 6:00 PM EDT • Technology • axios.com
High-Signal Publisher
How one kidney care company built a solid AI foundation

Strive Health says its successes with artificial intelligence came from solving for fragmented data, embedding intelligence into clinicians' workflows and keeping providers at the center of care. It's showing up in improved outcomes.

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Jul 30 • 1:51 PM EDT • Health • healthcareitnews.com
Should AI be formally recognized as a national and global security threat? In London, politicians increasingly think so

More than 125 U.K. lawmakers support ControlAI's campaign led by Luciana Berger to have non-human superintelligence officially recognized as a national and global security threat.

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Jul 30 • 10:21 AM EDT • Politics • fortune.com
West Virginia rolls out new AI and digital science framework for schools

CHARLESTON, W.Va. (WOWK) – Hundreds of educators from across West Virginia gathered Wednesday at the Charleston Coliseum and Convention Center as the state rolled out a new artificial intelli…

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Jul 30 • 10:09 AM EDT • Science • wowktv.com
The new "science golden age" looks suspiciously like a grift

This edition of PN is made possible by paid subscribers. Become one ⬇️ 🚀 Subscribe to PN 🚀 The Trump regime is trying to usher in a “Golden Age in Science” where scientific research is run like a Trump family business, artificial intelligence is all that matters, profit is everything, and expertise is for chumps. Or at least that’s the vision emerging from a new 123-page “Report to the President” from Michael Kratsios, the Director of the White House Office of Science and Technology Policy. In a normal administration, you could probably skip over learning about a science policy document — but this is no normal administration, and this is no normal science policy document. Instead, it’s Trump’s attempt to end the actual golden age of science that was kicked off in 1945 with the publication of '“The Endless Frontier” by Vannevar Bush. [ ](https://www.publicnotice.co/p/harmeet-dhillon-portland) [ Harmeet Dhillon demonstrates danger of posting through it ](https://www.publicnotice.co/p/harmeet-dhillon-portland) Liz Dye · Jul 29 [ Read full story ](https://www.publicnotice.co/p/harmeet-dhillon-portland) Bush, at President Franklin Delano Roosevelt’s request, laid out a vision of federal support for science that centered on funding universities to do basic research, saying that as long as those institutions were “vigorous and healthy and their scientists are free to pursue the truth wherever it may lead, there will be a flow of new scientific knowledge to those who can apply it to practical problems in Government, in industry, or elsewhere.” Kratsios’s report is supposed to be the successor to Bush’s, and even apes the format, but this isn’t really a document about science policy. It’s one about ending science research as we know it in favor of shoveling cash at big tech companies. While it might be temping to wave this away as an aspirational policy document, Trump has already begun to shift billions in research funds to AI projects and has taken a hatchet to science funding across the board. He’s teed up the shift Kratsios proposes here, and since neither Congress nor the Supreme Court seem inclined to stop him from doing whatever he wants with taxpayer money, it isn’t doomering or hyperbole to say we are staring down the barrel of a world where the only “science” the government intends to support is for-profit tech and defense advancements. Science for dummies Part of how you can tell this isn’t a document about science is that you are immediately faced with an absolute wall of business-speak of the worst sort. Did you know we must “tightly couple our science and technology enterprises to ensure that groundbreaking ideas invented in the United States are rapidly prototyped, tested, manufactured, and scaled domestically”? You do now! That tone isn’t surprising, because Kratsios has no background in science or research. He has a bachelor’s in political science and spent most of his career working for Peter Thiel at Thiel Capital. After a stint in the first Trump administration as Chief Technology Officer, where he also did not do any science, Kratsios was tasked in 2020 with overseeing the Pentagon’s research budget for a brief time, a position that, as the Wall Street Journal put it, “carries a great deal of power in terms of dictating investment allocations.” He spent the Biden years at Scale AI as “head of strategy,” which you will also note is neither a science nor a research job. But Scale AI has contracts with the Department of Defense and, as the Washington Post wrote in 2023, “has been aggressively pitching itself as the company that will help the US military in its existential battle with China.” And now you have the necessary background for our new golden age, which is going to be a golden age of taking money away from scientists and universities and giving it to companies like Scale AI. A note from Aaron: Working with brilliant contributors like Lisa takes resources. If you aren’t already a paid subscriber, please become one to support our work. 👇 Subscribe In a genuinely galling move, Katsios spends a lot of time slamming universities because of “administrative burdens on researchers” and the “well-documented inefficiencies” in academia, the message being that those damn universities waste the time of amazing researchers with paperwork. Except it’s the administration that is attempting to impose inefficient, unnecessary burdens on those researchers with a proposed Office of Management and Budget rule that would require senior political appointees to approve every science grant and ensure it aligns with Trump’s personal priorities. Researchers would also have to seek prior government approval to attend conferences or publicize their research. And political appointees could terminate any grant at any time if they feel like it. [ ](https://www.publicnotice.co/p/omb-rule-science-funding) [ The murder of expertise ](https://www.publicnotice.co/p/omb-rule-science-funding) Lisa Needham · Jun 11 [ Read full story ](https://www.publicnotice.co/p/omb-rule-science-funding) But when it comes to AI, we’re going to “restore permissionless innovation.” The report proposes to give lucky ducky innovators a pile of cash up front for grants lasting five years or longer, saying “awards should be fully-funded in year one, with all resources earmarked upfront, to minimize administrative burdens and reduce pressure for researchers to generate intermediate results to secure continued funding.” Yeah, wouldn’t want to have to make the Very Special Tech Bros show results or get money parceled out year by year like the plebes at universities. The report also proposes that we should have “fast grants” with “simplified applications requiring just a few pages of writing” because that is definitely how science works, just writing a bit off the dome and getting some cash. [ ](https://www.publicnotice.co/p/trump-ai-action-plan-altman-llms) [ Tech elites are turning AI into ChatGPTrump ](https://www.publicnotice.co/p/trump-ai-action-plan-altman-llms) Paul Waldman · July 29, 2025 [ Read full story ](https://www.publicnotice.co/p/trump-ai-action-plan-altman-llms) Oh, and we should have prizes and challenges, where multiple teams compete. The proposed prizes include incentives like “advance procurement commitments,” which means the federal government agrees to buy whatever is being developed. There’s also “regulatory fast-tracking,” making sure all those great AI thingies don’t have to wait too long to be unleashed on a market. These aren’t incentives to do science. These are incentives to develop things with tax dollars that you can then sell to the government for more tax dollars. In the suggestion that might be the most unhinged, the most very opposite of how both government and research work, our new age will include “golden tickets.” That’s where an individual reviewer in an agency — yes, just one person — can “recommend unconventional proposals that may not pass consensus-driven review panels” because somehow this will “surface valuable ideas too divisive for committees and attract higher quality reviewers by empowering them to exercise independent scientific judgment.” Yes, that’s saying that a random person in an agency should be able to shovel money at some idea even if it can’t pass a review panel, and that the opportunity to do so will attract better employees because apparently all the best minds in science are chomping at the bit to be allowed to unilaterally fund AI research based on their personal vibes. But that isn’t at all how actual science works, and actual scientists aren’t unhappy about review panels. They work collaboratively, not siloed in some secret race to create the next AI chatbot. A 2020 study by the National Bureau of Economic Research examined whether peer review panels succeed in helping agencies predict which research ideas will best advance science. Peer review was better at finding “diamond in the rough” applicants than a single government program official. How about that. Trump always wants a taste It’s painfully clear that what Katsios is trying to do here is turn the whole of government science research and funding into the sort of “move fast and break things” paradigm that is the hallmark of big tech. That method works to line the pockets of tech executives, but it isn’t science. There’s a reason the government funds different kinds of research than private tech companies do. What Katsios either fails to understand or deliberately ignores is that the federal government is the main funder of basic research precisely because it can take a long time for it to bear fruit and is not intended to be profitable as such. “Basic” here does not mean rudimentary or simple, but rather research that is designed to advance scientific knowledge instead of achieving a specific outcome or product. Big tech companies don’t widely fund that sort of research, because it doesn’t make them money. Industry dollars account for only about 20 percent of basic research funding, while the government contributes around 60 percent. Big tech companies and startups do, however, rely on and benefit from that basic research. A 2019 study found that 35 percent of all patents obtained by venture-backed startups from 1976 to 2016 cited federally supported research. Basic research funded by the NIH contributed to every single drug the FDA approved from 2010 to 2016. [ ](https://www.publicnotice.co/p/trump-saudi-nuclear-deal) [ The Saudi nuclear farce and governance by whim and meme ](https://www.publicnotice.co/p/trump-saudi-nuclear-deal) Noah Berlatsky · Jul 27 [ Read full story ](https://www.publicnotice.co/p/trump-saudi-nuclear-deal) Unlike inventing the next ChatGPT, actual science is slow and iterative. Government funding of research that, on its face, would not appear to lead to any big new invention is actually what underpins those big new inventions. If the government hadn’t funded research into desert lizard venom, we wouldn’t know about semaglutide, and we wouldn’t have Ozempic. If research scientists hadn’t studied how bees optimize nectar foraging within a colony, we wouldn’t have the algorithm that assigns internet traffic across computer servers. The report assiduously ignores that a symbiotic, profitable relationship between the federal government, universities, and private companies already exists. Each federal research dollar generates about $1.50 to $3.00 in long-term economic benefits. The $36 billion the government awarded in NIH research funding in fiscal year 2025 generated $94 billion in new economic activity. Trump’s proposed new golden age is intended to strip those billions from universities, resulting in the dismantling of departments and the shuttering of labs. But Katsios has a plan for that: Universities should just become trade schools to churn out no-show STEM degrees! “Require universities and community colleges to embed practical technical training and externships into STEM curricula. Let hands-on experience and industry credentials count toward degrees.” It’s quite the feat to, on the one hand, strip schools of funding for scientific research while simultaneously demanding to control what is taught and, oh, also, colleges need to give degrees to employees at big tech companies just for being employees at big tech companies. The new golden age would also exacerbate the brain drain Trump’s policies have already caused. Nature found that in the first quarter of 2025, US scientists submitted 32 percent more job applications abroad than in 2024. A March 2025 poll by Nature of roughly 1,600 scientists found that over 1,200 said they were considering leaving the country. Europe is investing $565 million to make it a “magnet for researchers” and provide funding for scientists who relocate. The new golden age is also about embedding Trump’s xenophobia into the fabric of American science. The report complains of an “over-reliance on foreign students” that “creates a security challenge our institutions are ill-equipped to address” and that a “reliance on foreign talent sidelines American students.” This is, to put it mildly, nonsense. International students pay far higher tuition and often receive no financial aid. Their tuition dollars are what make it possible for American students to get financial aid. In the 2023-2024 school year alone, international students contributed $43.8 billion to the US economy and supported over 378,000 jobs. Those 1.1 million international students accounted for only six percent of the total number of students in higher education that year, but were such an economic engine that for every three international students, one job was created or supported. It’s impossible not to wonder whether part of Trump’s loathing for universities and their leading role in scientific research is that there is no way for him to corrupt the process and make money off it in the same way he can by giving millions and billions to Silicon Valley types who, in turn, give him millions in cash. There’s no way for his children to invest in universities that the government then gives no-bid contracts to, fattening the family’s bottom line, which is pretty much the Trump sons’ current venture capital practice. Trump and Katsios’s view of science is narrow, cramped, and wrong. We’re not in a crisis, we’re not a failed state. We’ve been a science superpower for decades, and the only thing that threatens that is Donald Trump. Tech bros are already living high off the hog in this administration. They don’t need any more of our tax dollars. Hopefully this new golden age never comes to pass. Thanks for reading Public Notice. This post is public so feel free to share it. Share We’ll be back with more tomorrow. If you appreciate today’s PN, please do your part to keep us free by signing up for a paid subscription. 🚀 Subscribe to PN 🚀 Thanks for reading, and for your support.

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Jul 30 • 8:12 AM EDT • Science • publicnotice.co
After Hobbes vs Rousseau: Politics must move beyond human nature

Since the great debate between Hobbes and Rousseau, our political theory has been organised around a single question: is human nature essentially good or essentially corrupt? Graham Harman, the philosopher behind object-oriented ontology, argues that this is simply the wrong question to be asking. The real forces governing our collective fate - climate change, artificial intelligence, geography, and pandemics - are non-human; therefore, questions about human nature are not the central ones. Instead, Harman proposes a politics reorganised around our relationship to non-human objects and environments, in which quasi-government institutions incentivise and deter actions with the aim of extending the survival of the human race. “It is easier to imagine the end of the world than the end of capitalism.” This has become one of the most popular phrases among twenty-first-century intellectuals. Often misattributed to Fredric Jameson, it has been warmly embraced by such influential authors as Slavoj Žižek and the tragically departed Mark Fisher, and has fueled the notion that the major problem with the political Left is that it simply needs to become more speculative and creative. Naturally, this is never a bad idea in any human pursuit. But what if the political distinction between Left, Right, and Center itself results from a failure of imagination? SUGGESTED READING Hobbes vs Rousseau: are we inherently evil? By Robin Douglass This particular division has been with us only since the summer of 1789. During the simmering prelude to the French Revolution, it referred originally to the physical position in the National Assembly of radical figures on one side and loyal monarchists on the other. These positions are linked with two entirely different camps of modern political theory. On the Left we find a series of authors ranging from the moderate (Locke) to the supercharged (Rousseau) to the truly radical (Marx), all of them contending that exploitation of the many by the few justifies revolutionary overthrow of the existing order. On the Right they are countered by the likes of Machiavelli, Hobbes, and Schmitt, a group of thinkers convinced that corrupt human nature can be tamed only by force. In the words of the Nazi supporter Schmitt: “One could test all theories of nature and state and political ideas according to their anthropology and classify these as to whether they consciously or unconsciously presuppose [humans] to be by nature evil or by nature good.” This is the division we continue to face today, even in the daily retail politics of Western democracies.___Our species has regularly proven itself capable of both the noblest gestures and the most scathing cruelties, making it hard to define us as essentially either emancipatory or brutal in our aims.___The most refreshing feature of David Graeber and David Wengrow’s 2021 book The Dawn of Everything: A New History of Humanity was their awareness that the forced choice between Rousseau and Hobbes (as they put it) is no longer sufficient. Our species has regularly proven itself capable of both the noblest gestures and the most scathing cruelties, making it hard to define us as essentially either emancipatory or brutal in our aims. Far from being stationed “beyond good and evil,” we seem to be fully entangled with both. We are not naturally good or evil, Graeber and Wengrow contend, but naturally experimental and imaginative. They rest their case on the archaeological record, which seems to bear witness to numerous episodes of seasonally shifting governments and festivals, which vacillate in the same society (even in the same year) between the egalitarian and the dictatorial. Such praise of political experiment makes a good fit with the generally anarchist position defended by these authors. Yet it is also what I find most disappointing in their position. Although they are right that the forced choice between Hobbes and Rousseau falls short of what our new situation requires, the authors simply replace it with praise for the human being as a political tinkerer and performer. In other words, they give us just another theory of human nature, one that would not have been out of place in the sixteenth or seventeenth century. What other options might we have?___The time is ripe for a retheorization of politics on the basis of something other than human nature… We are not just alienated and limited by objects, but also empowered and unleashed by them___One fresh approach would be to treat politics within a broader framework than human nature, given that the polis does not exist in a vacuum filled exclusively with people. When Bruno Latour went to observe the baboons of Kenya with the San Diego anthropologist Shirley Strum, they jointly concluded that these primates were more socially interdependent than our own species. Each baboon is so reliant on the dynamics of the group that they find themselves locked into constant surveillance of their potentially dangerous peers. The group structure turns out to be inherently volatile. Humans, by contrast, are able to stabilize their societies to a large degree through the mediation of inanimate objects. Although one’s position in society may seem to fluctuate over time, considerable stability is produced through such items as apartment keys, wedding rings, and identification cards, all of them serving to secure us a place distinct from that of our fellows. The Italian philosopher Maurizio Ferraris has written at length about the crucial role of documents in establishing social relations, making him a hero among notaries in his country. Proper names and license plates cement our position amidst other humans, as do symbolic achievements such as graduation from a top university or distinguished wartime service with its various medals and ribbons. None of this is found among baboons, despite their closeness to us on the evolutionary tree: after all, we did share a common ancestor just 25 to 30 million years ago. SUGGESTED VIEWING The goodness paradox With Richard Wrangham The time is ripe for a retheorization of politics on the basis of something other than human nature, whether understood in the manner of the Left or of the Right. We are not just alienated and limited by objects, but also empowered and unleashed by them. But initially, it is true, we face non-human things primarily in the form of constraints. It would be difficult, perhaps impossible, to form a human civilization underwater, deep underground, atop Mount Everest, or in outer space. Human dependence on the non-social background takes on subtler form in discussions of political geography, especially unloved on the more idealistic Left. Consider the luckless position of Poland during World War II, sandwiched between Hitler on one side and Stalin on the other. By contrast, note the good fortune of the United States in not having a military peer positioned on any land border. Anglo-American geopolitics, since the writings of the American naval commander Alfred Thayer Mahan and the British geographer Sir Halford Mackinder, has been wedded to the notion that one or more liberal offshore naval powers should prevent any authoritarian “heartland” regime from gaining effective control of Eurasia. That remains the case whether the opponent is the impatient Napoleon, the swashbuckling German Kaiser, the villainous Hitler, the murderous Stalin, or the industrial juggernaut Chinese. In their current Foreign Affairs article “Heartland vs. Rimland,” Michael Beckley and Hal Brands analyze the current and coming state of the world on the basis of these same rather durable principles. In recent years a similar outlook has been embraced, in inverted form, by the Putin-loving Russian philosopher Aleksandr Dugin, an icon of the Rightist intellectual underworld. For Dugin, the Anglo-Saxons are an evil force bent on destroying the spiritually superior people of the land: much like Athens in its failed war with Sparta, or Carthage in its eventual collapse against Rome. But the shared notion on both sides is that any strategy that fails to take geography into account is likely to end up as a defeated form of excessive optimism.___When dealing with environmental degradation, then, we are doing business with forces that promise dire effects on our species as a whole.___More striking for us today than geography is the non-human object called climate, which threatens rimland and heartland equally. Even if we contend that humans are one hundred percent responsible for triggering the climate crisis, it remains non-human in the sense of being an independent force beyond our effective control. In a major work published just before his death in 2002, The Structure of Evolutionary Theory, the American paleontologist Stephen Jay Gould noted the tendency of evolutionary theorists to focus too closely on the fate of individuals in view of their successful or failed adaptation to circumstances. With climate change, however, we confront a force that goes well beyond the scope of any individual life. Whereas Richard Dawkins extended evolutionary questions downward from individuals to the sub-individual gene, Gould pushed it upward, speaking of entire species or clades as impacted by environmental change. The asteroid that struck the Yucatán 66 million years ago is only the most famous example of this sort. In the wake of that catastrophe, large animals needing abundant supplies of food were at a fatal disadvantage by contrast with the smaller birds and mammals of the planet. When dealing with environmental degradation, then, we are doing business with forces that promise dire effects on our species as a whole. The effect is to shift our attention away from individual beings towards the survival of the group.In the United States in particular, the COVID-19 pandemic sparked considerable backlash among those who asserted a nearly absolute degree of individual freedom. In California I encountered those who demanded that their businesses be allowed to reopen, that it was enough to cover their mouths but not their noses, or that they should have the right to enter any public area despite refusing vaccination. Yet public health is probably the clearest argument against libertarianism, which often merely asserts the autonomy of individuals against any claims of the commons. In normal times the individual is worth defending; under conditions that threaten the survival of part or all of our species, compulsion may be our only resort, as with perfectly reasonable blackouts and rations in wartime. To rebuild human society under the constraints of climate change will be one of the great challenges of the century to come, as will our improvised grappling with artificial intelligence. Such phenomena pose existential risks for humanity, and leave far less room for tolerance of individual brattiness. Cases are mounting of devastating wildfires caused by arson. Recently it was reported that there is even a website where one can bet on the location of coming wildfires, raising the specter of deliberate blazes set to collect on wagers. The death penalty has steadily lost support in a world where many stress the infinite value of human life. But if we focus instead on entire ecosystems, those who purposely burn the forests may begin to look worse than serial murderers.___The politics of the future may be splintered by disagreement over such topics as how to manage our environing background and how to permit or restrict the entry of new objects into the political sphere.___So far I have spoken of force, authority, and punishment: measures sure to have greater appeal to those who identify with what we know as the Right. But other implications of the post-anthropocentric world are likely to have different backers. If non-human objects are seen as structuring political space, it stands to reason that they can no longer be introduced solely by the pace of technical breakthrough. Fields ranging from cybernetics to energy will demand increased politicization once they are reconceived not just as products of individual human investment, but as renovations of collective political geography. This need not involve world government, with its inherent risk of tyranny, but may involve quasi-governmental enforcers of prestige along the lines of a less corrupt FIFA or International Olympic Committee, punishing deviant states not with violence but with less tangible incentives.Politics will never lose its historic links with conflict and faction. But rather than factions aligned by differing theories of human nature, the politics of the future may be splintered by disagreement over such topics as how to manage our environing background and how to permit or restrict the entry of new objects into the political sphere. This will prove just as incommensurable with the modern Left/Right spectrum as a globe is with a two-dimensional map.

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Jul 30 • 8:00 AM EDT • Politics • iai.tv
Memphis Plans For A Boozer Weakness

Memphis is building intelligently around their star rookie

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Jul 30 • 7:33 AM EDT • Sports • sports.yahoo.com
Samsung Stock Jumps Over 6% In Seoul as AI Memory Business Delivers Record Profit: 'Supply Constraints' Expected to Continue

Samsung Electronics Co. Ltd.‘s (OTC:SSNLF) shares rose on Thursday after the chipmaker posted a record second-quarter operating profit as surging artificial intelligence memory demand boosted its semiconductor business, though higher component costs weighed on earnings in its mobile division. Operating Profit Beat Estimates Operating profit climbed to a record 89.5 trillion KRW ($61.93 billion) for the second-quarter, beating the 88.13 trillion KRW ($60.98 billion) analysts’ forecast compiled by

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Jul 29 • 10:22 PM EDT • Business • finance.yahoo.com
University of Utah Team Selected for NSF Initiative to Shape the Future of AI in Science Education

A multidisciplinary team will help design AI-powered learning tools that strengthen scientific thinking in K–12 classrooms. As artificial intelligence becomes increasingly integrated into classrooms and...

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Jul 29 • 6:00 PM EDT • Science • research.utah.edu
Microsoft’s cloud business boosts sales as AI investment climbs to $41bn

Revenue in the tech group’s intelligent cloud segment surges 32% to $39.3bn

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Jul 29 • 4:30 PM EDT • Business • ft.com
RWJBarnabas Health and Rutgers Researchers Find AI Tool Helps Detect Patient Deterioration Earlier, Reducing Hospital Deaths

Researchers from RWJBarnabas Health and Rutgers Robert Wood Johnson Medical School found that an artificial intelligence (AI)-enabled early warning system helped identify hospitalized patients at risk of rapid clinical decline sooner, contributing to fewer deaths among high-risk patients.

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Jul 29 • 2:29 PM EDT • Health • rwjbh.org
Gemini for Mac Adds System-Wide Voice Dictation and Screen-Aware Commands

Google today updated Gemini for Mac to add a new quick keyboard shortcut that activates voice mode. By long-pressing the Fn key, users can speak naturally to Gemini from any window on their desktop machine. Gemini supports intelligent dictation, so users can speak to the chatbot using natural language and Gemini will transcribe their words to text. Ums, ahs, and other filler words are removed during the process, and it can catch mid-sentence corrections, dropping formatted text at the cursor.

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Jul 29 • 12:46 PM EDT • Technology • macrumors.com
Generate Autonomous Business Insights with AI Agent and MCP Servers

Learn how Amazon Bedrock AgentCore delivers autonomous, cross-system business intelligence through configuration rather than custom code. Using pre-built MCP server connectors, fine-grained access control, and persistent memory, enterprises can query multiple data sources with natural language while enforcing role-based boundaries automatically.

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Jul 29 • 11:34 AM EDT • Business • aws.amazon.com
The Science Behind the AI Panic Is Shakier Than You Think

A column by Sascha Lobo Is AI making us dumb? So asked DER SPIEGEL on its cover a while ago. After a few weeks of recovery and a therapeutic intervention with the help of my AI, I feel able to respond. That’s a bit unfair, of course; the article itself is more nuanced than the loud cover, the image of a schoolkid with dull prompt questions, or the subtitle: “AI is conquering the schools, and educators fear a disaster.” The short answer to “Is AI making us dumb?” is: no. The long answer is more interesting, and even carries a preliminary glimmer of the spectacular. Unfortunately, it requires a detour into the sphere of artificial intelligence, into the mogul-field terrain of technology assessment, the attention economy, and the destructive virus of cultural pessimism. Along with narrowing the scope to AI’s effects on education and work rather than on intelligence. Because the honest version of the question would be: Does AI help us learn and work, or not? Generative AI, which set off the still-ongoing hype with ChatGPT, has only existed in relevant distribution since late 2022, early 2023. For a technology-driven transformation of people and society, that is extremely short. For that reason alone, research is still in its infancy. And technology assessment is not a fast discipline anyway. Prominent voices from Elizabeth Eisenstein to RAND to Tom Wheeler say we still cannot conclusively judge the consequences of the printing press. Its invention is a mere 580 years back, and some scholars would rather not circulate assessments that might have to be retracted in two or three hundred years. We’re Going Through Growing Pains A phenomenon that already caused upheaval in social media research makes serious assessment of AI’s consequences even harder: the “moving target” problem of LLM-ology, as the linguist Sean Trott called it in 2025. AI develops so quickly and so unpredictably that researchers often end up studying snapshots of the past. There are concepts, from morphological analysis to anticipatory governance, for keeping research, planning, and regulation halfway meaningful anyway. But even with those, universally valid statements are rare. DER SPIEGEL - The German View is a reader-supported publication. To receive new posts and support our work, consider becoming a free or paid subscriber. Subscribe We should therefore treat findings about the interplay between humans and AI as far more procedural and situational. Unfortunately, this challenge comes at the worst possible time. We are going through growing pains: AI’s everyday impact has grown very large very fast, and with it the longing for guidance. Annoyingly, the body of solid knowledge has not exploded along with it. Experts cannot be moved to broad consensus on even banal statements about AI. Sascha Lobo, born in 1975, is an author and strategy consultant focusing on the internet and digital technologies. Together with Jule Lobo, he explores the debates of the day in the podcast “Feel the News – Was Deutschland bewegt” (”What Moves Germany”). Nvidia CEO Jensen Huang says software developers are dying out. Bill Gates considers coders one of only three professions that will survive the AI tsunami. Top tech economists find virtually irrefutable arguments both for and against an AI bubble. The same naturally applies to the structurally youth-hostile debate over whether AI is good or bad for young people. The gap between the demand for insight and the supply of solid knowledge creates an orientation vacuum. This vacuum of AI cluelessness is filled, as the attention economy described by Georg Franck in 1998 would have it, with half-knowledge (funnily enough, often AI-generated), marketing, and self-marketing. After all, infinite money is at stake, along with academia’s best current shot at global fame. But this iridescent froth of interpretation operates more by the algorithmic principles of the digital public sphere than by seriously earned insight. That is why dramatized, fear-feeding claims about AI are so promising. It tempts parts of academia into distorted drivel, and parts of the media then sensationalize the published drivel once more. Was the Research Aimed at a Desired Result? How badly this can influence academia and public perception is demonstrated by one of the most-discussed studies on AI’s effects: “Your Brain on ChatGPT.” The MIT study by Nataliya Kosmyna also gets plenty of space in the SPIEGEL cover story. What was measured and interpreted: lower brain activity in people who write with AI assistance, compared to people who only google or write without any tools. As is common with preprints, the study has not yet been peer-reviewed, and it contains substantial weaknesses that experts have sharply criticized. The first round had 54 participants in three groups, the second only 18, who reportedly also came from MIT’s own orbit. There was no preregistration (committing in advance to what you want to find out with which data). In their analysis, Stanković et al. even discovered an opposite effect that the study does not further explain. Some measurement data has not (yet) been published. And the EEG analysis method used is considered too imprecise to support such far-reaching conclusions. The biggest criticism, though, is the suspicion of an activism-driven study. In an interview with Time, lead author Kosmyna said she published the study immediately, rather than after full peer review, because she feared politicians might otherwise decide to put ChatGPT in kindergartens. She considers that absolutely harmful. It is legitimate to hold such a view. It just seems unscientific to approach a study with it, and then to design the setup so that the chance of a fitting desired result remains as high as possible. Ideologies Collide It is not easy to separate genuine AI insights from studies that trivialize and weaken well-founded AI criticism. The same goes for the opposing, AI-enthusiastic narratives, because the pro-AI side works against it with billions in resources. Ideologies collide, fed by egos, PR strategies, moral posturing, and once-in-a-lifetime opportunities. Doomsday marketing makes the search even harder: AI companies can profit from warnings about the dangers of AI, whether through the notoriety of apocalypse narratives or because, in some target groups, danger translates into power. Some seemingly negative findings are therefore quite welcome in the AI industry. If you try to get at the findings presumably less influenced by interest groups, the picture in education seems relatively clear: AI can improve educational outcomes when the right AI is used the right way, namely pedagogically. Simply dumping an AI chatbot into a classroom, by contrast, accomplishes little. Huge surprise. But something else is also obvious: whether they are allowed to or not, kids use AI for school, which is why the controlled integration of AI tools into education is, in the medium term, entirely without alternative. In the world of work, the landscape of findings is more complex and requires more differentiation. A series of serious studies points to an AI effect that suits neither the alarmists, regulation fetishists, and AI opponents, nor the trillion-dollar corporations with their armada of paid scientists, PR professionals, and ecosystems: working with AI helps the inexperienced (at least for now) considerably more than it helps the pros, in certain fields of work, and provided they know how to use it correctly. Missing Domain Knowledge Among the experienced, the professionals, and the high flyers, by contrast, despite frequent time savings, partially negative effects and new problems are emerging. Take the jagged frontier problem: AI solves task A brilliantly and fails completely at task B, even though both look similar even to professionals. Or the verification-cost problem, in which AI’s greater productivity gets eaten up by the enormous effort of checking its output. Or the illusion of competence, because AI makes new domains seem easily penetrable, until you painfully discover that deep domain knowledge is missing. Taken as a whole, the effects of working with AI do lean positive. But the promise that AI works as a turbocharger for everyone and boosts practically everything simply refuses to materialize. The AI magic the world has been feeling since ChatGPT arrived in late 2022 has so far barely shown up in most companies’ numbers. The consulting firm McKinsey has coined a term for this, the “gen AI paradox,” and believes that work processes and corporate structures would have to be rebuilt quite fundamentally to realize AI’s benefits at scale. Reuters just reported that only 3.3 percent of Microsoft’s customers have subscribed to the AI package Copilot. That may be down to the product; in other areas we continue to see soaring successes and new AI triumphs. But after the first quarter of 2026, disillusionment is the word for all too many AI projects at traditional companies: because the promised revolution of AI agents has so far failed to arrive or been postponed, and because of the leveling effect that many of the studies cited here suggest. Against Inequality The societal effects, on the other hand, appear rather encouraging. Many previous technologies operated on the Matthew principle, named for the Gospel verse about giving to those who already have: they tended to reward the more competent and more privileged. AI, however, seems more often to have an equalizing effect once a threshold of access and education is crossed. Some anecdotal insights point in this direction, for example, how an unemployed man in Leipzig successfully defended himself in court in 2025 against fraud accusations from Germany’s federal employment agency — without a lawyer, armed only with ChatGPT. The AI made mistakes and cited invented court rulings, but in the end the man walked away unpunished. And a key capability of artificial intelligence is its capacity to learn: set up correctly and fed with data, it can keep getting better. It is a question of time, or more precisely of AI innovations and training data, until even free AI chatbots write better legal briefs than law graduates with perfect exam scores. Whether that will make anyone dumb is something the world’s press will surely inform us of in due time. Subscribe Leave a comment

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Jul 29 • 4:23 AM EDT • Science • derspiegel.substack.com
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Beyond Content Creation: How Wizstar Helps Enterprises Scale AI Across Business

As AI adoption continues to expand across enterprises, businesses are seeking more efficient, intelligent, and scalable ways to create content and streamline operations. Addressing these evolving needs, Wizstar provides a comprehensive AI digital human solution covering AIGC video generation, real-time interactive avatars, and AI-powered live streaming. Designed for marketing, customer service, training, and live commerce, the platform helps organizations improve content production efficiency, e

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Jul 29 • 4:05 AM EDT • Business • finance.yahoo.com
AI race redraws Asian air cargo, replacing e-commerce as growth engine

The global race to build artificial intelligence is redrawing Asia's air cargo map, prompting airlines to redesign networks around growing ​semiconductor manufacturing hubs as cross-border e-commerce loses momentum.

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Jul 29 • 1:17 AM EDT • Business • reuters.com
Jay Clayton confirmed as director of national intelligence
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Jul 28 • 10:40 PM EDT • Politics • cnn.com
European Union innovation needs regulatory science excellence centres

Nature Biomedical Engineering - Fit-for-purpose regulation of medical devices and medical artificial intelligence in Europe needs Centres of Excellence in Regulatory Science and Innovation,...

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Jul 28 • 8:00 PM EDT • Science • nature.com
Senate Confirms Jay Clayton to Lead U.S. Intelligence Community

Mr. Clayton, who shed Democratic support after he refused to clearly say Joseph R. Biden Jr. won the 2020 election, will take over the Office of the Director of National Intelligence from Bill Pulte.

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Jul 28 • 7:15 PM EDT • Politics • nytimes.com
Jay Clayton confirmed as director of national intelligence

Jay Clayton, President Donald Trump’s pick to lead the US intelligence community who was confirmed in a 51-47 vote on Tuesday night, steps into his new job inheriting a diminished office whose authority and relevance are at a historic low point.

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Jul 28 • 7:15 PM EDT • Politics • cnn.com
Iran Considered Retaliatory Strike on Ukrainian Seaport

A flurry of diplomacy has eased tensions, officials said, after an incident risked triggering a wider war.

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Jul 28 • 5:39 PM EDT • Politics • nytimes.com
Zuckerberg predicts more jobs and entrepreneurship if superintelligence is widely distributed

Mark Zuckerberg pushes back against AI doom rhetoric, writing that distributed superintelligence will create more jobs and make starting businesses easier.

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Jul 28 • 4:30 PM EDT • Business • foxbusiness.com
Jeff Bezos says this business is becoming Amazon’s next ‘pillar’

Amazon founder Jeff Bezos says the company's custom AI chip business is poised to become its next "pillar," joining Marketplace, Prime, and AWS as one of Amazon's foundational businesses as the tech giant doubles down on artificial intelligence infrastructure.

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Jul 28 • 12:33 PM EDT • Business • geekwire.com
WATCH LIVE: Senate expected to vote on Jay Clayton's nomination for director of national intelligence
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Jul 28 • 11:58 AM EDT • Politics • pbs.org
Senate expected to confirm Jay Clayton as next intelligence director

Clayton is the U.S. attorney for the Southern District of New York and a former Securities and Exchange Commission chairman

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Jul 28 • 10:42 AM EDT • Politics • spectrumlocalnews.com
National Science Foundation to help build AI-enabled labs

Carolina is part of a program that will use artificial intelligence to speed the testing of research ideas across the country.

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Jul 28 • 9:04 AM EDT • Science • unc.edu
As Duke Health implements AI, oversight initiatives try to ensure ethical practices

At the center of Duke Health’s approach to an ethical use of artificial intelligence in healthcare is the flagship ABCDS Oversight Initiative, which evaluates and governs any algorithms, including AI ones, that are used in patient care.

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Jul 27 • 10:13 PM EDT • Health • dukechronicle.com
What happens when AI chatbots handle a mental health crisis?

Artificial intelligence is transforming how we gather information and communicate with one another.It’s also changing how some people seek out mental health care. But what happens when this sophisticated technology is used to deal with serious mental health issues?For sponsor-free episodes of Consider This, sign up for Consider This+ via Apple Podcasts or at plus.npr.org. Email us at considerthis@npr.org.This episode was produced by Jason Fuller, with audio engineering by Ted Mebane and Valentina Rodriguez Sanchez. Our director is Jonas Adams.It was edited by Diane Webber and Tinbete Ermyas.Our interim executive producer is Courtney Dorning.

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Jul 27 • 5:05 PM EDT • Health • npr.org
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Intel Just Secured a Huge Customer for Its Foundry Business

The tech company recently landed Fortinet as a customer of its foundry service.

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Jul 27 • 4:50 PM EDT • Business • finance.yahoo.com
Vanderbilt Health and Siemens Healthineers launch $87M Value Partnership to deliver advanced technology, elevate patient care

Value Partnership will drive technology upgrades and standardization across diagnostic imaging and radiation oncology, promote workforce development Collaboration will empower health care innovation through scalable artificial intelligence uses in radiology, personalized medicine and workflow automation

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Jul 27 • 2:46 PM EDT • Health • news.vumc.org
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Texas A&M University joins the Genesis Mission to transform science using artificial intelligence

The U.S. Department of Energy announces projects in its unprecedented effort to use AI to accelerate science, harness new energy sources and bolster national security.

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Jul 27 • 1:29 PM EDT • Science • stories.tamu.edu
New Global CARE-AI Framework Sets Standard for Responsible AI in Health Education and Care

An international team of researchers, clinicians, educators, ethicists, and patient partners has developed and validated the Health CARE-AI (Contextual, Accountable, Responsible, and Equitable Artificial Intelligence) Framework. Published in JMIR Medical Education, the landmark study provides an actionable, consensus-backed roadmap for the responsible integration of AI across the health care learning and practice continuum.

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Jul 27 • 9:45 AM EDT • Health • newswise.com
International Fellows explore AI, science, and policy in Pittsburgh

The U.S. Army War College International Fellows Class of 2027 visited Carnegie Mellon University in Pittsburgh to hear from experts on artificial intelligence, software engineering, public policy and science, with a focus on how research and innovation support military leadership and decision-making.

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Jul 27 • 8:00 AM EDT • Science • dvidshub.net
Honeywell Technologies Completes Sale of Warehouse and Workflow Solutions Business to American Industrial Partners

CHARLOTTE, N.C., July 27, 2026--Honeywell Technologies (NASDAQ: HON) today announced it has completed the sale of its Warehouse and Workflow Solutions (WWS) business to American Industrial Partners (AIP) in an all-cash transaction. The business operates commercially under the Intelligrated and Transnorm brands.

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Jul 27 • 7:19 AM EDT • Business • finance.yahoo.com
Healthcare Triangle Creates "Purpose Health" to Monetize AI Demand and Accelerate Shareholder Returns

Healthcare Triangle, Inc. (NASDAQ: HCTI), a healthcare and life sciences technology company enabling digital transformation through cloud, data, artificial intelligence, and security solutions, today announced that proven industry executive Sumit Ganguli has been appointed Chairman and Chief Executive Officer of Purpose Health, Inc., HCTI's wholly owned, AI-led healthcare technology services subsidiary.

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Jul 27 • 7:10 AM EDT • Health • finance.yahoo.com
Senate to begin voting on Trump intelligence nominee Jay Clayton

The US president’s pick to be the country’s director of national intelligence is expected to be approved within days – but only after a tense confirmation hearing

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Jul 27 • 7:06 AM EDT • Politics • theguardian.com
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OpenAI CEO Sam Altman says the singularity has arrived

OpenAI CEO Sam Altman said he believes the technological singularity, the moment when artificial intelligence surpasses humans intelligence, is here.

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Jul 26 • 2:00 PM EDT • Business • businessinsider.com
CEOs and execs can't agree on what AI means for Gen Z workers

For young Gen Zers entering the workforce, the rise of generative artificial intelligence has brought no shortage of uncertainty.

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Jul 26 • 6:03 AM EDT • Business • businessinsider.com
Cheaper, open and intelligent: Chinese AI models gain ground, as they make inroads in the US

Chinese AI models are gaining popularity in the U.S. for their affordability and efficiency.

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Jul 26 • 12:04 AM EDT • Business • ksat.com
Cheaper, open and intelligent: Chinese AI models gain ground, as they make inroads in the US

Chinese AI models are gaining popularity in the U.S. for their affordability and efficiency.

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Jul 26 • 12:04 AM EDT • Business • clickorlando.com
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Business Briefcase: Chamber boosts efforts with PSU Schuylkill

POTTSVILLE — The Schuylkill Chamber of Commerce has announced an “exclusive chamber benefit discount on cultural intelligence and grant writing courses.” The offer is via a “Developing a Cultural Intelligence” initiative with Penn State Sch…

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Jul 25 • 10:15 AM EDT • Business • republicanherald.com
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OpenAI confirms ChatGPT is down worldwide

ChatGPT, the famous artificial intelligence chatbot that allows users to converse with various personalities and topics, has connectivity issues worldwide.

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Jul 25 • 5:31 AM EDT • Technology • bleepingcomputer.com
GOP's freshman firebrand goes viral targeting 'utterly intellectually indefensible' DEI policies

Rep. Brandon Gill is the youngest House Republican and is lauded as a rising star within the party.

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Jul 24 • 6:37 PM EDT • Politics • foxnews.com
Papers: Argumentation and Surprise Are Best Ways to Do Good Science

I’m sure the authors of these papers didn’t mean to pay ID any compliments, but everything we’ve seen here closely tracks with intelligent design literature.

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Jul 24 • 5:24 PM EDT • Science • mindmatters.ai
Handled with care, AI can be miraculous

Although it has huge potential for harm, artificial intelligence is accelerating breakthroughs in science and medicine — but it can’t replace human imagination

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Jul 24 • 2:46 PM EDT • Science • thetimes.com
WV Superintendent of Schools Launches First AI and Digital Science Framework in the Nation

Charleston, W.Va. - West Virginia Superintendent of Schools Michele L. Blatt will share the state’s Artificial Intelligence (AI) and Digital Science Framework with educators during professional development sessions at the Charleston Coliseum and Convention Center, Monday through Wednesday, July 27-29, 2026. The Framework, the first of its kind in the country, outlines an approach for digital science and AI literacy education that equips students with the knowledge, skills and credentials to succeed in this rapidly evolving workforce. It also offers educators a way to increase efficiencies in their work and better personalize learning for students.Earlier this year, Superintendent Blatt appeared before a U.S. House of Representatives Subcommittee to share the state’s strategy on addressing the use of AI while also protecting students, their data and educational integrity. The Framework is the result of years of planning, collaboration and development. Digital science encompasses the evolving fields of computer science, AI literacy, data reasoning, cybersecurity awareness, media literacy and the practical application of digital technologies. The framework equips educators to prepare students with the AI and digital science knowledge and skills needed to thrive in the workforce of the future.The West Virginia AI and Digital Science Framework establishes a statewide structure for sustained success. From policy to educator development and student learning, it defines how the state will implement digital science and AI readiness at scale. It serves two priority goals:Respond to the rapidly changing technology landscapeEstablish best practices as a leader for rural models of AI readiness, workforce development and digital science educationWith three statewide commitments, educators will be equipped with understanding and the tools to support implementation. These commitments are:Student Access - Every student will have access to AI literacy learning experiences and digital science instruction before graduationEducator Capacity - All counties will sustain local AI training capacity through a train-the-trainer modelWorkforce Alignment - Every approved pathway will connect to employer demand, postsecondary alignment, and portable or verified credentialsNext week, the West Virginia Department of Education (WVDE) will launch the framework during three educator and staff development sessions. These sessions include unique opportunities for new county central office hires, the Support, Appreciate, Invest, and Learn (SAIL) Conference, and the West Virginia Middle Schools: Bridging the Future Initiative launch. Each session is designed to meet the needs of K-12 educators, professionals, paraprofessionals, service personnel and others who serve in the education community.West Virginia is a national leader in developing a framework for AI and digital science education. We are determined to elevate our model because it prepares students and educators for the future. Our partners at Prodigy Learning and Microsoft understand this commitment and believe, as do we, that our work has national implications for accessibility and scalability because we are building systems that address learning at all levels that lead to post-graduation success.Michele L. Blatt, State Superintendent of SchoolsAs part of the partnership, Prodigy Learning is providing West Virginia educators, at no additional cost, their in-person and virtual training on all products and the materials required for license renewal.

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Jul 24 • 1:34 PM EDT • Science • wvde.us
Recent Coverage Highlights AI Innovation, Rural Health Challenges and Cyclospora Response

A July 21 Detroit News story explored how health systems across the state are using artificial intelligence to improve diagnosis and treatment.

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Jul 24 • 12:10 PM EDT • Health • mha.org
Mexico's Science Secretary Strengthens Cooperation with China in Artificial Intelligence and Robotics

Rosaura Ruiz met with Ambassador Chen Daojiang to advance joint AI, semiconductor, and electromobility projects, plus possible collaboration with Huawei.

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Jul 24 • 10:45 AM EDT • Science • mexicosolidarity.com
AI Lab Midjourney Eyes Suite of Apps After Buying Astrology Startup Co-Star

Artificial intelligence lab Midjourney Inc. has bought the popular astrology app Co-Star and is building its first standalone image-generation app, the startup’s latest moves to push into new business areas after promising an ambitious expansion last month.

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Jul 24 • 10:30 AM EDT • Technology • bloomberg.com
OpenAI makes Health in ChatGPT widely available, moving deeper into consumer health

OpenAI on Thursday made its Health in ChatGPT feature broadly available, enabling U.S. users to connect its artificial intelligence chatbot with medical records and wellness apps. | OpenAI on Thursday made its Health in ChatGPT feature broadly available, enabling U.S. users to connect its artificial intelligence chatbot with medical records and wellness apps.

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Jul 24 • 8:00 AM EDT • Health • fiercehealthcare.com
5 key takeaways from Elon Musk's latest interview

Elon Musk discussed AI surpassing human intelligence, political involvement, and AI lab policing during an interview with The Economist.

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Jul 24 • 6:39 AM EDT • Politics • businessinsider.com
Trump’s document ‘cherry-pick’ doesn’t show a cover-up of Chinese election intelligence, ex-officials say

President Donald Trump and his allies touted spy reports and emails that he declassified this month as showing a “cover-up” of intelligence about China’s efforts to harm Trump’s re-election prospects in 2020, part of the president’s push to undermine confidence in the integrity of US elections.

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Jul 24 • 6:00 AM EDT • Politics • cnn.com
OpenAI claims its artificial intelligence gained access to the Internet on its own and breached a ‘partner’

The technology company claims the incident stemmed from a cybersecurity test gone wrong, where its application escaped a closed environment and broke into an external database to complete its task of being an elite hacker

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Jul 24 • 4:17 AM EDT • Health • healthexec.com
Radiology artificial intelligence marketplace CARPL.ai raises $10M

Founded in 2021, CARPL bills itself as the “world’s largest AI marketplace,” offering over 300 applications across 100-plus AI partners.

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Jul 24 • 1:32 AM EDT • Business • radiologybusiness.com
AI-based exam queue tool prioritizes CT scans in the ED

A new paper in Radiology: Artificial Intelligence details how an AI-driven CT queue prioritization system can improve patients’ time to diagnosis without requiring additional imaging equipment or staffing.

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Jul 24 • 12:47 AM EDT • Business • radiologybusiness.com
CrossCurrents: HVACR Business Intelligence

Welcome to the first edition of CrossCurrents: HVACR Business Intelligence. Each installment curates the most important headlines from outside the traditional HVACR press, drawing...

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Jul 23 • 8:00 PM EDT • Business • contractingbusiness.com
Intel's AI business helps fuel strongest revenue growth in 15 years

Intel beat expectations with its strongest revenue growth in more than 15 years as CEO Lip-Bu Tan credited better execution.

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Jul 23 • 5:32 PM EDT • Business • businessinsider.com
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Major changes coming to Choate Mental Health and Developmental Center in Anna

The Illinois Department of Human Services outlined plans to reduce residential units serving people with intellectual and developmental disabilities and to phase down mental‑health beds.

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Jul 23 • 5:08 PM EDT • Health • wsiu.org
Intel's PC business will be dictated by AI data center momentum: CFRA

Intel (INTC) stock is surging by over 11% in Thursday's extended hours after smashing second quarter expectations, reporting adjusted earnings of $0.42 per share (vs. estimates of $0.21) and revenue of $16.1 billion (vs. estimates of $14.43 billion). CFRA Research senior vice president and equity analyst Angelo Zino dives into Intel's earnings release and what he can garner about the trajectory of the company's PC business.

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Jul 23 • 4:46 PM EDT • Business • finance.yahoo.com
Microsoft is replacing OpenAI image models in PowerPoint, Bing

The world's largest software maker has been developing artificial intelligence models that can compete with those from OpenAI and Anthropic.

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Jul 23 • 4:24 PM EDT • Technology • seattletimes.com
AU School of Public Health researcher awarded $1.3 million for IDD study

The project aims to improve how individuals with intellectual and/or developmental disabilities (IDD), including autism, are included in research.

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Jul 23 • 3:30 PM EDT • Health • jagwire.augusta.edu
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Ohio State researchers to lead national teams exploring science, AI innovation

The Ohio State University continues to build momentum as a national leader in artificial intelligence research and innovation. This week, two teams led by Ohio State researchers joined a $293 million initiative sponsored by the U.S. Department of Energy (DOE) to harness AI for breakthroughs in energy dominance, discovery science and national sec...

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Jul 23 • 2:00 PM EDT • Science • news.osu.edu
White House Lays Out 'Golden Age' AI Vision for American Science

The blueprint emphasizes artificial intelligence, research funding reforms and mission-driven innovation to reshape federal research.

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Jul 23 • 1:37 PM EDT • Science • govciomedia.com
Teledoc launches AI-driven platform for 'new era of connected care'

The virtual care company says its reimagined telehealth technology combines artificial intelligence with human care navigation to enhance patient health outcomes and reduce overall care costs.

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Jul 23 • 11:48 AM EDT • Health • healthcareitnews.com
NSF will support effort to build “self-driving” chemistry laboratories - College of Arts and Sciences

NC State University, UNC-Chapel Hill and the Massachusetts Institute of Technology (MIT) will work together as part of a new National Science Foundation-funded effort to establish a nationwide network of artificial-intelligence-enabled automated laboratories across the United States.

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Jul 23 • 11:28 AM EDT • Science • college.unc.edu
Trump’s Science Adviser Wants to Overhaul “Increasingly Calcified” U.S. Science Enterprise While Science Funding Lags

A report released this week directs the U.S. government to spark a “new golden age” of science by ushering funds toward artificial intelligence, fostering closer relationships with private industry, and dismantling and rebuilding the federal science funding process.

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Jul 23 • 11:05 AM EDT • Science • eos.org
With bombing campaign unlikely to change Iran’s posture according to US intel, Trump faces limited options

Two weeks into a renewed bombing campaign against Iran, with US forces taking casualties and allies wary of the conflict escalating further, President Donald Trump insists that Iran is “desperate” to find an end to wave after wave of US attacks.

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Jul 23 • 9:27 AM EDT • Politics • cnn.com
Federal government to spend $5B on AI-powered health, infrastructure research

More than 15 federal agencies will use AI to investigate the root causes of chronic diseases, develop treatments for pediatric cancer, expedite the discovery of prescription drugs and enhance U.S. energy infrastructure, among other related…

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Jul 23 • 8:10 AM EDT • Health • baltimoresun.com
Harnessing Abundant Electricity From the Sun—and Other CU Boulder Science Tapped for Genesis Mission

Three CU Boulder-led projects and three collaborative projects selected through the U.S. Department of Energy's Genesis Mission. Research will advance artificial intelligence for fusion energy, quantum computing, particle physics and water prediction. Awards recognize CU Boulder's leadership in applying AI to some of the nation's most complex scientific challenges.

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Jul 23 • 8:00 AM EDT • Science • newswise.com
Michigan Tech Atmospheric Scientists Linked to Three Research Projects Selected for DOE Genesis Mission

Michigan Technological University researchers are involved in three proposals tapped by the U.S. Department of Energy for consideration under its recently launched Genesis Mission: Transforming Science and Energy with AI. The mission’s goal is to address national science and technology challenges using artificial intelligence.

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Jul 22 • 6:29 PM EDT • Science • mtu.edu
Gemini Intelligence and Gemini Nano 4 launch with Galaxy Z Fold 8, Flip 8

The Galaxy Z Fold 8 and Flip 8 are the first devices with Gemini Intelligence, as well as Gemini Nano 4...

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Jul 22 • 3:41 PM EDT • Technology • 9to5google.com
Department of Energy's New AI-for-Science ‘Genesis Mission’ Awards Funding to 5 UT Research Projects

Five UT teams have been awarded funding from the DOE’s Genesis Mission, an initiative working to harness artificial intelligence for advances in energy dominance, discovery science and national security.

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Jul 22 • 12:58 PM EDT • Science • news.utexas.edu
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Apple Plans Overhaul of MacBooks, iMac in Push to Meet AI Demand

Apple Inc. is readying an overhaul of its Mac line, seeking to capitalize on demand for powerful laptops and desktops fueled by the artificial intelligence boom.

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Jul 22 • 10:30 AM EDT • Technology • bloomberg.com
Department of War Partners With the Genesis Mission to Proliferate AI

Led by the White House, the War Department is committing substantial resources and technical expertise to the success of the Genesis Mission, a national effort to leverage artificial intelligence to

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Jul 22 • 9:03 AM EDT • Science • war.gov
Stanford and SLAC to lead Genesis Mission projects

The U.S. Department of Energy announced the first phase of funding for projects using artificial intelligence to tackle the nation’s most complex science and technology challenges, including six led by Stanford and SLAC National Accelerator Laboratory.

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Jul 22 • 8:00 AM EDT • Science • news.stanford.edu
Dynasty Financial Partners's Latest Innovations

Houston-based registered investment advisor Americana Partners has stepped into a new avenue, having established a division catering to wealthy clients in the sports and entertainment industries. The new unit will serve athletes, entertainers, creators, agents, and coaches with support from former athletes, entertainment executives, and financial professionals. The division will offer wealth management services and other offerings, including income diversification, brand protection, intellectual property strategies, tax planning, and investment management. For clients in the entertainment sector, ...

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Jul 22 • 8:00 AM EDT • Entertainment • connectmoney.com
Synagie Unveils Geene 2.0 - BytePlus, SingData and FLY Entertainment Among 12 Founding Partners Building Trusted AI Commerce

Synagie, the flagship digital commerce and technology brand of Hong Kong-listed Synagistics Limited (HKEX: 2562), today unveiled Geene 2.0, a Trusted AI Commerce Intelligence Ecosystem (a SaaS platform) designed to help businesses move beyond isolated AI applications towards trusted, scalable business transformation.

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Jul 22 • 1:00 AM EDT • Entertainment • finance.yahoo.com
Senate panel advances Jay Clayton's nomination for director of national intelligence

The 9-8 vote came after some Democrats had praised Clayton and indicated that they might vote for him. But that shifted after a contentious hearing last week in which Clayton repeatedly refused to say that former President Joe Biden won the 2020 election.

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Jul 21 • 8:26 PM EDT • Politics • pbs.org
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Researchers gather at Cornell Tech to explore AI for molecular science

Researchers from around the world gathered at Cornell Tech for a workshop exploring how physics-aware artificial intelligence can accelerate the discovery of molecules and materials while improving the reliability of machine learning models.

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Jul 21 • 11:46 AM EDT • Science • news.cornell.edu
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DiMe launches initiative to build operational AI governance tools

With the support and expertise of Qualified Health, FDA and 30 healthcare organizations and tech companies, the Digital Medicine Society says it will release tools that enable broader adoption of artificial intelligence as they are created.

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Jul 21 • 11:45 AM EDT • Health • healthcareitnews.com
Intel plans layoffs within data center group

An Intel spokesperson said the cuts are part of a broader effort to become "more focused and efficient."

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Jul 21 • 10:07 AM EDT • Business • businessinsider.com
Survey of business and tech leaders reveals persistent gap between corporate AI adoption and workforce readiness

/PRNewswire/ -- A large majority of workers use artificial intelligence (AI) tools regularly, but few consider themselves highly familiar with the technology,...

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Jul 21 • 8:16 AM EDT • Business • prnewswire.com
Advancing next-gen AI with materials science innovation

As artificial intelligence pushes semiconductors and data centers to new physical limits, advances in materials science are becoming essential to sustaining the pace of innovation.

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Jul 21 • 6:37 AM EDT • Science • technologyreview.com
Shanghai science forum photos show China's AI and robotics advances in rivalry with US

BEIJING (AP) — China's leading technology companies showcased hundreds of cutting-edge products at the World AI Conference in Shanghai — from advanced robotics to artificial intelligence systems.

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Jul 20 • 9:23 PM EDT • Science • wral.com
Photos show Chinese companies showcasing AI technology and robots at science forum

BEIJING (AP) — China's leading technology companies showcased hundreds of cutting-edge products at the World AI Conference in Shanghai — from advanced robotics to artificial intelligence systems.

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Jul 20 • 9:22 PM EDT • Science • apnews.com
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AI political ads draw scrutiny in the Tennessee 6th Congressional District race

AI Political Ads in Tennessee's 6th Congressional race raise questions about a state AI Disclosure Law as Johnny Garrett and Van Hilleary use artificial intelligence in campaign videos.

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Jul 20 • 6:29 PM EDT • Politics • newschannel5.com
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Intel Xeon 6 Leaps To 8000 MT/s Memory Now, But The Real Payoff Waits For 8800 MT/s MRDIMM In 2027

Intel introduces 8000 MT/s DDR5 RDIMMs for Xeon 6 CPUs, boosting memory speed by 25% and offering a 20% increase in total memory bandwidth.

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Jul 20 • 1:01 PM EDT • Technology • wccftech.com
Modern Warfare 4: Open Beta, NEXT, Fanatics Fest, & Serialized Camo

Relive Modern Warfare® 4 at Fanatics Fest, get Open Beta and Call of Duty®: NEXT intel, plus Nintendo® Switch 2 pre-order details and a first-of-its-kind Serialized Weapon Camo pre-order challenge.

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Jul 20 • 12:52 PM EDT • Technology • news.blizzard.com
‘Vibecoded’ Apps Are Flooding Apple’s App Store

Mobile apps are easy to make with artificial intelligence. That doesn’t mean people are excited to use them.

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Jul 20 • 10:02 AM EDT • Technology • nytimes.com
New grant to improve discovery of potential diagnostic, therapeutic molecules

Carly Schissel, assistant professor of chemistry, is part of a multi-institution team that has been selected to receive funding from the Scialog: Automating Chemical Laboratories initiative. The initiative supports teams of early-career scientists doing fundamental science to accelerate advances in laboratory technologies using automation and artificial intelligence.

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Jul 20 • 9:48 AM EDT • Science • psu.edu
Shaky political "science": breakdown of the peer review process

[This article is the latest in our “Shaky Political Science” series. In our 38 page report, “Shaky political ‘science’ misses mark on ranked choice voting,” released in December 2025, we examined over 40 studies focused on ranked choice voting (RCV). Many of these studies suffered from puzzling research methodologies, poorly constructed surveys, unrealistic simulated elections, cherry picked data and faulty analyses that often were contradicted by results from real-world elections (a link to our full paper is here). Here are links to the first four articles in our series: the first one summarizing the overall results of our report; the second one analyzed a study co-authored by University of Minnesota academic Larry Jacobs, which was one of the most error-prone of all the research we reviewed in our report; a third article showing an admirable example of two political scientists holding two other political scientists accountable for their flawed, sloppy research; and a fourth article that analyzed seven studies sponsored by New America’s political reform program that deployed flawed methodology based on “simulated” elections instead of real-world elections, which when combined with some basic misunderstandings of RCV, produced odd and misleading results]. In this fifth article in our “Shaky Political Science” series, we examine two flawed studies on the impact of RCV on voter turnout authored by San Francisco State University professor Jason McDaniel. McDaniel’s research in these two papers stands out for its puzzling methodology, inadequate and cherry-picked data, and faulty analyses that not only misunderstands ranked choice voting but reflects a basic misunderstanding of politics in general. The first of the McDaniel studies actually passed through a peer review process and then was subsequently published by the Journal of Urban Affairs, despite its obvious errors. It is perplexing that a jury of peer political scientists did not catch the errors and send it back to McDaniel for a rewrite or outright rejection. This calls into question the credibility of the peer review process itself. The peer review process is supposed to represent the intellectual pinnacle of the profession – a way for academics to certify the quality of each other’s work, and to act as a check against sloppy research. In the case of the McDaniel study, the peer review process failed. Yet his flawed study has been cited dozens of times by other political scientists in their own flawed works — an unvirtuous circle of academic research. Here is the first Jason McDaniel study that we analyzed: “Writing the Rules to Rank the Candidates: Examining the Impact of Instant-Runoff Voting on Racial Group Turnout in San Francisco Mayoral Elections,” by Jason McDaniel, 2016, Journal of Urban Affairs. This study covered San Francisco’s use of ranked choice voting (RCV) in mayoral elections, purporting to show that RCV reduces voter turnout overall, increases voter errors, and has a negative impact on “marginal populations,” i.e. racial minorities, mainly as the result of the alleged complexity of RCV asking voters to rank candidates and having to be familiar with multiple candidates and related dynamics. McDaniel reached these conclusions by examining five San Francisco mayoral elections taking place in odd years (i.e. where there are no federal or state races on the ballot) from 1995 to 2011, comparing three earlier non-RCV races (in 1995, 1999 and 2003) with the later two RCV races (in 2007 and 2011). Only two RCV races were studied, and as McDaniel acknowledged, only the contest in 2011 was “competitive” (that contest in 2007 was the first mayoral election using RCV, and incumbent mayor Gavin Newsom won easily in the first round of counting, earning 74% of first choices and far ahead of the second place candidate who had just 6.3% of first choices). Yet even the allegedly competitive contest in 2011was won by an incumbent with a landslide margin of nearly 20 points. No other elections were studied by McDaniel, even though San Francisco elects 17 other offices besides mayor with RCV, including the 11 seats on the Board of Supervisors (the name for the city council) in even years, and six other citywide offices in odd years. Previous academic research has found that competitive elections can stimulate greater voter involvement and higher turnout. For unexplained reasons, this study ignored at least 34 other RCV races between the years 2004 to 2011, many of which were very competitive and had high voter turnout. Instead, McDaniel’s analysis based its conclusions on data from only a single, marginally-competitive mayor’s race using RCV. These 2007 and 2011 mayoral elections were the only two RCV elections that McDaniel used as the sole basis for his small data set to determine the impact of RCV on voter turnout. Despite having no meaningful data to inform his study, McDaniel nonetheless concluded that RCV lowered turnout when compared to the previous three mayoral non-RCV elections using two-round runoffs. Then, using the same inadequate database of San Francisco elections, McDaniel also found that “Instant-runoff voting is associated with a significant decline in Black voter turnout and White voter turnout…On average, Black voter turnout decreases by 18 points and White voter turnout decreases by 16 points …” But how could he credibly arrive at that conclusion when his study was based on voter turnout in two RCV contests that were not even remotely competitive? Beyond that, McDaniel tacitly admits that the key determining factor driving Black voter turnout was not RCV vs non-RCV elections, but the presence of a viable Black candidate. McDaniel wrote, “Black voter turnout was about 17 percentage points higher for the two elections that featured an African American candidate compared to the three elections that did not” — but one of those three elections did not use RCV. The same dynamic was present for White voter turnout, in which higher turnout was not correlated with RCV vs non-RCV elections, but the presence of a viable White candidate. Beyond that, McDaniel’s voter turnout results, whether correlated with the race of the candidates or RCV vs non-RCV elections, showed no clear patterns. In his Figure 1, he shows low Asian voter turnout in the non-RCV elections in 1999 and 2003 when there was no viable Asian candidate running, but in the 2007 mayoral election using RCV, there is still no viable Asian candidate, yet Asian turnout increases dramatically. For Latinos, voter turnout is virtually the same in 1999 (no viable Latino candidate, non-RCV elections), 2003 (leading Latino candidate, non-RCV elections), 2007 (no viable Latino candidate, RCV elections) and 2011 (leading Latino candidate, RCV elections). Meanwhile White voter turnout increased dramatically from a low in the 2007 mayoral election, in which the leading candidate was a white incumbent, to the 2011 election in which there were no leading white candidates that finished any higher than sixth place with 5.6% of the vote. Clearly other factors were determining voter turnout than either the race of the candidates or RCV vs non-RCV elections. Despite these inconsistent findings, McDaniel boldly marches forth to render conclusions about the impact of RCV on different groups of racial voters, even though his conclusions are not remotely supported by his data. This looks like the worst kind of “data cherry picking” to cover up a puzzling conclusion based on a poor data set involving only two RCV elections, neither of which were remotely competitive. McDaniel’s cherry picking didn’t stop there. In calculating voter turnout for the three non-RCV mayoral elections in 1995, 1999 and 2003, he failed to mention that in each of these years there was a two-round runoff election, with a first round election in November in which no candidate garnered a winning majority of the vote, followed by the decisive runoff in December. So there were two non-RCV elections in each election year. But McDaniel only decided to include one of the two elections in his data set, apparently the December runoff in each year (which had higher turnout in two out of the three mayor’s races, and lower turnout in the third). So he ignored the November 1995 election, the November 1999 election when turnout was only 45 percent, and the November 2003 election when turnout was only 45.7 percent. This is flawed methodology based on blatant cherry picking, since McDaniel simply omitted three elections worth of data that did not fit within his frame. His study should never have made it through a peer review process, and it is an embarrassment to political science that not only was it approved for publication, but it has been uncritically cited by dozens of other political scientists. Share A “study” without wider context or credible data Lacking a data set that included even a single competitive RCV mayoral race, McDaniel declared that RCV lowered voter turnout in 2011, when turnout was 42.5 percent. But he also ignored -- or did not realize -- that voter turnout in mayoral elections during 2011 had sharply declined in all big cities, including far more steeply in nearby Los Angeles and other cities. In fact, San Francisco’s election in 2011 had the second highest turnout of any mayoral election in the nation’s 22 largest cities from 2008-2011. Was 2011 just a particularly low turnout year all across the country, perhaps because the country was still reeling from the aftermath of the housing market collapse in 2008-2010? McDaniel ignored this factor and did not search for alternative explanations beyond his flawed thesis. Furthermore, while McDaniel suggested that RCV leads to more “overvotes” – which is an invalidated ballot in which a voter, in either a non-RCV or RCV race, makes a mistake and selects two candidates for a single choice – he failed to address that in the June 2012 US Senate primary contest, which used the typical “one-choice” plurality method and did not use RCV, there was more than five times as many overvotes in San Francisco and Oakland than in the RCV mayoral elections in those cities. Additionally, turnout had been significantly higher and more representative in RCV elections for the San Francisco Board of Supervisors races -- that McDaniel didn’t even bother to study -- as compared to previous “delayed two-round runoffs” for those offices, often higher by as much as 40% in the RCV races. Perhaps the most surprising irony was that an earlier study co-authored by McDaniel (Overvoting and the Equality of Voice under Instant-Runoff Voting in San Francisco by Francis Neely and Jason McDaniel, 2015, California Journal of Politics and Policy) found that overvotes are often more common in lower-income precincts, but that the pattern of overvoting is similar in both RCV and non-RCV contests. Wrote Neely and McDaniel: “[Overvote] errors appear to be a function of complexity in general and not IRV per se…. the pattern of overvoting is similar in both IRV and non-IRV contests…Even among votes cast in a top-of-the-ticket race like U.S. Senate, overvoting occurs in an uneven fashion” (IRV, or ‘instant runoff voting,’ is another name for ranked choice voting in single-winner contests). So McDaniel not only contradicted his own conclusion in his earlier study with Neely, but the earlier study had been an important corrective for one of the most frequently made mistakes made by anti-RCV political scientists – a continual failure to provide crucial context by pairing a comparative analysis of real world RCV elections with an analysis of real world plurality or other electoral methods. Unfortunately McDaniel’s earlier study does not get cited much by other researchers, and McDaniel did not even cite it in his own flawed study analyzed above. Incredibly, McDaniel cherrypicked McDaniel, even as his flawed study has been cited dozens of times. Despite being a textbook example of poor political “science,” featuring both inadequate as well as cherrypicked data, the shelf life of McDaniel’s study has been extended endlessly by other political scientists and media outlets who have cited it uncritically. Equally troubling, the Journal of Urban Affairs put this paper through its peer review process and published it despite its numerous flaws. McDaniel gets it wrong, Part II Not content with producing one shoddy, confused paper, McDaniel produced another one a few years later, here is the link: Electoral Rules and Voter Turnout in Mayoral Elections: An Analysis of Ranked-Choice Voting by Jason McDaniel. San Francisco State Univ. (McDaniel, 2019). In this paper, McDaniel extended his previous flawed research focused on San Francisco, about voter turnout and voter impact, to multiple RCV cities through the 2018 elections. In his data set he included San Francisco, Minneapolis, St Paul, Oakland, Berkeley, San Leandro and Santa Fe. He then compared their turnout in mayoral elections to non-RCV cities, and to mayoral elections in those cities held before first RCV usage, and concluded “a significant decrease in voter turnout of approximately 3–5 percentage points in RCV cities after the implementation of RCV.” But he replicated many of the same mistakes as his first study presented above. While in this study McDaniel attempted to distinguish between various factors, such as odd year vs. even year elections, competitive races vs. noncompetitive, contests with open seats and other factors, the analysis is superficial and inadequate. He attempts to incorporate so many often-conflicting variables that his conclusions are once again unsupported by the actual data, and ultimately unconvincing (this second study never underwent a peer review process). For example, McDaniel declared that for RCV cities “in elections that are more competitive than average (margin of victory less than 20%), there is no significant RCV effect on voter turnout.” Yet McDaniel is a professor in a city, San Francisco, in which the 2018 special election using RCV to fill a mayoral vacancy was exceedingly close, decided by a margin of only one percentage point, and resulted in the second highest turnout in San Francisco history for a mayoral election. Illustrating the complexity involved in assessing the critical factors in turnout, that special election was held on the same election day as federal and state offices, which tends to boost turnout. Yet more voters participated in that RCV mayoral election than voted on the same day in the non-RCV primary for governor in which former San Francisco mayor Gavin Newsom was running. Even more puzzling, in this study McDaniel inaccurately cited his own previous study from 2015 with Neely. McDaniel wrote, “Neely and McDaniel (2015) examine individual ballot image files within a natural experiment, and find higher rates of ballot errors in RCV elections compared to non-RCV elections” (emphasis added). However, we quoted from that 2015 study several paragraphs above, and in actual fact Neely and McDaniel actually concluded the opposite -- that the pattern of overvoting – which is the most common form of ballot error – is similar in both RCV and non-RCV contests. McDaniel also ignored the fact that in Bay Area RCV elections held in even years – at the same time as federal and state elections, when turnout is highest -- the “undervote” (that is, the dropoff in ballots cast for governor or mayor) has declined, which contradicts his thesis that the act of ranking ballots in RCV elections is too complex and presents a barrier for certain demographics of voters. To his credit, McDaniel actually acknowledged another contradiction in his own paper, which found a negative RCV turnout effect in some odd-year elections but not others, admitting that “may present a challenge to the theory that increased complexity [from RCV] will have a marginal negative effect on voter turnout.” But he tried to wallpaper over that contradiction by blaming it on an unlikely source -- bad election administration. McDaniels wrote, “This would suggest that the negative impact of RCV on voter participation may be alleviated by high quality election administration,” without presenting any data or even anecdotes to support such an unfounded theory. While competent election administration of any election, whether RCV or non-RCV, is crucially important, there is no credible research that supports the far-fetched notion that the quality of election administration has much of an impact on voter turnout in US elections, whether using RCV or otherwise. Upgrade to a $5 subscription The unvirtuous circle of academic research It is puzzling how McDaniel’s first study could have survived the peer review process for the Journal of Urban Affairs. The mistakes in McDaniel’s first study above should have been obvious to anyone with a basic understanding of ranked choice voting as well as elections in general, and elections in San Francisco specifically. It undermines faith in the credibility of the peer review process to think that a jury of peer political scientists did not catch the egregious errors and reject McDaniel’s sloppy research and paper. And it remains a black mark on political science that this thoroughly discredited study has been cited dozens of times by other researchers. Indeed, in our research paper it became apparent that many political scientists cite each other’s flawed research to pad their list of citations and to legitimize their own flawed research, creating an unvirtuous circle of political science. More broadly, McDaniel’s voter turnout studies, like other studies evaluating RCV’s impact on turnout, lacked a recognition that no credible opinion or research can claim that RCV increases voter turnout merely because so many voters are excited to vote for their favorite candidates instead of “lesser evil” candidates without worrying about spoilers. Instead, with respect to turnout, the advantage of RCV has always been that, in most places where it has been used, it has eliminated a pre-November primary or post-November runoff, which usually saw about half the turnout of the November general election. This is especially true during even years when there are state and federal elections on the ballot which substantially drive turnout more than local contests. Any study that does not adequately account for this non-November primary/runoff vs November general election dynamic, or odd year vs even year election factors, is simply not credible. Both of McDaniel’s studies largely failed on those grounds. Steven Hill and Paul Haughey Share Upgrade to a $5 subscription Thanks for reading DemocracySOS…your digital portal for the pro-democracy movement. Subscribe for only $5 per month to receive full benefits and to support our work. Subscribe

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Jul 20 • 9:29 AM EDT • Science • democracysos.substack.com
Bluehost Expands AI Business Platform with New Simple-to-Use AI & Agentic Solutions Purpose-Built for Small Business

Today, Bluehost, the all-in-one platform trusted by millions of small businesses to build, grow, and run online, today unveiled its next-generation AI business platform for small businesses, introducing intelligent AI agents that can build websites, run online stores, capture leads, answer customer questions, and book appointments, all without requiring technical expertise. The solutions are purpose-built for small business needs, giving entrepreneurs the capabilities of a much larger business w

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Jul 20 • 9:25 AM EDT • Business • finance.yahoo.com
AI Researcher Receives $745K Bits to Bytes Award from Massachusetts Life Sciences Center to Create the World’s Largest Annotated Spleen Ultrasound Dataset

Principal Investigator (PI) Daniel Haehn, PhD, director of UMass Boston’s Artificial Intelligence (AI) Research Core Facility and an associate professor of computer science, will lead SPLEEN-US: Open Annotated Spleen Ultrasound Dataset for Precision Neuromodulation.

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Jul 20 • 8:00 AM EDT • Science • umb.edu
WAIC explainer: What is AI for Science?

What if artificial intelligence (AI) could help scientists make discoveries never before imagined?That's one of the themes at this year's World Artificial Intelligence Conference (WAIC) in Shanghai. It's called AI for Science. Simply put, it means using

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Jul 20 • 5:51 AM EDT • Science • news.cgtn.com