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Kuminga Agent Reveals Why Defense Won Over Lakers Money
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WHO RUNS MARYLAND POLITICS NOW?
ByThe Maryland Wire The Machine Didn’t Die — It Broke Apart Mike Miller is gone. Steny Hoyer is retiring. The two men who helped define Maryland political power for generations are disappearing from the map. Nobody has inherited all of what they controlled. Instead, Maryland power has fractured among Wes Moore, legislative leaders, county organizations, federal figures and a new generation fighting to connect the pieces. By The Maryland Wire For decades, there were two names in Maryland politics that required almost no explanation. Mike Miller. Steny Hoyer. You didn’t necessarily have to agree with them. You didn’t even have to like them. But everyone understood something: Not social-media power. Not cable-news power. Not the temporary power that comes from one big election. They possessed political infrastructure. Relationships. Institutional memory. Donors. Staff. Allies. County leaders. Lobbyists. Legislators. Operatives. And the ability to connect people who needed something with people capable of delivering it. Today one is gone. The other is preparing to leave Congress after more than four decades. And Maryland faces a question it hasn’t had to answer in generations: The answer may be: Nobody. At least not the way Miller once did. Maryland’s old machine wasn’t inherited by one person. It fragmented. And now several ambitious political networks are competing to assemble the pieces. Miller presided over the Maryland Senate for 33 years, becoming one of the longest-serving legislative leaders in American history. He stepped down as Senate president in 2019 and died in January 2021. (Behavioral and Social Sciences) But Miller’s real power wasn’t the title printed on his door. It was the accumulation of relationships behind it. Miller came from Maryland’s old Democratic organization and developed into an extraordinarily adaptable political operator, retaining authority even as the Senate around him became younger and more liberal. (The Washington Post) He understood something fundamental: politics is information. Who wants what? Who owes whom? Which senator needs help? Which county executive wants something in the budget? Which committee chairman can move a bill? Which lobbyist represents which client? Which candidate should receive support today because that candidate could be a senator ten years from now? Miller knew the answers because he’d spent decades collecting them. Miller’s influence wasn’t confined to elected officials. Former Miller aides became prominent Annapolis lobbyists. Maryland Matters noted figures such as Joseph Bryce and Timothy Perry among the high-profile lobbyists who had once served as top Miller aides. (Maryland Matters) That was one of Miller’s greatest political achievements. He didn’t merely accumulate power around himself. He produced alumni. Staffers became lobbyists. Legislators became committee chairs. Allies became power brokers. And decades of relationships reinforced one another. By the end, Mike Miller wasn’t simply a person. He was an ecosystem. Hoyer’s network was different. Miller’s power was rooted in Annapolis. Hoyer connected Maryland to Washington. He served in the Maryland Senate before winning election to Congress in 1981 and ultimately became one of the longest-serving members of the U.S. House and a longtime No. 2 in House Democratic leadership. In January 2026, Hoyer announced that he would retire rather than seek another term. (The Washington Post) His influence stretched through: Prince George’s County, Southern Maryland, Congress, federal agencies, donors, campaign organizations, and generations of Democratic candidates. And Hoyer had something machine builders value enormously: a succession network. That became obvious almost immediately. When Hoyer announced his retirement, Maryland’s 5th Congressional District exploded with candidates. Twenty-four Democrats entered the race. But when the votes were counted, the winner was Adrian Boafo, Hoyer’s former campaign manager. Boafo wasn’t running without establishment help. He was endorsed by Hoyer. He was endorsed by Governor Wes Moore. And he ultimately won the Democratic nomination. (AP News) In his victory speech, Boafo described the result as voters deciding it was time to “pass the torch to a new generation of leaders.” (AP News) That phrase captures the transition perfectly. Hoyer’s seat isn’t simply being vacated. Parts of his network are being transferred. But they aren’t being transferred to another Steny Hoyer. They’re being absorbed into a newer political constellation. And standing prominently inside that constellation is Wes Moore. If someone forces you to name the single person sitting nearest the center of Maryland Democratic politics today, the answer is Governor Wes Moore. The 2026 Democratic gubernatorial primary underscored the scale of his position. Moore won renomination overwhelmingly, receiving roughly 88% of the Democratic primary vote. (WBAL-TV) But raw votes tell only part of the story. Look at the party infrastructure. The Maryland Democratic Party says Steuart Pittman ran for state party chairman in 2025 “at the suggestion of Governor Wes Moore.” Pittman took office that July. (The Maryland Democratic Party) That’s important. Governors traditionally influence their state parties. But party leadership plus fundraising, endorsements, executive appointments and national relationships creates the beginning of something bigger: a political network that could survive the governor’s term. Moore also played a role in the Hoyer succession by backing Boafo. That’s how political organizations reproduce themselves. You support tomorrow’s politician today. And that’s the distinction that matters. Moore has enormous statewide visibility. Miller had decades of accumulated legislative control. Moore can endorse candidates. Miller could influence the environment in which legislators lived every day. Committee assignments. Leadership positions. Legislative priorities. Relationships that had been accumulating since before many current lawmakers entered politics. Moore may have a larger national profile than Miller ever possessed. But he doesn’t possess Miller’s half-century of Annapolis memory. Nobody does. Which is why the modern Maryland political structure looks less like a pyramid and more like several power centers connected by overlapping relationships. One of those centers belongs to Senate President Bill Ferguson. Ferguson controls an institution no governor can simply command. The Senate. Maryland’s official 2026 legislative records identify Ferguson as Senate President. (Maryland General Assembly) That means influence over: committee structure, Senate leadership, legislative priorities, confirmations, and negotiations with the House and governor. But Ferguson is not Mike Miller 2.0. Miller’s extraordinary longevity allowed him to become almost inseparable from the institution. Ferguson possesses the office. Miller possessed the office plus decades of political mythology and accumulated relationships. Those aren’t the same thing. The House now has its own new center of gravity. Official 2026 legislative records identify Joseline Peña-Melnyk as Speaker of the House of Delegates, alongside Ferguson as Senate President. (Maryland General Assembly) That makes the current Maryland governing triangle: Executive power. Senate power. House power. None fully controls the others. And that fact alone demonstrates how different modern Maryland is from the Miller era. The governor proposes. The legislature disposes. Committee leaders negotiate. County interests intervene. And political coalitions shift issue by issue. That’s not one machine. That’s a networked power structure. Then there’s U.S. Senator Angela Alsobrooks. Her significance isn’t that she is the new Hoyer. She isn’t. Hoyer spent decades constructing his network. Alsobrooks brings something different: Prince George’s County roots, a statewide electoral organization, a United States Senate platform, and relationships with national Democratic leaders. That makes her a critical bridge between Maryland and Washington at precisely the moment Hoyer leaves. Hoyer’s retirement therefore doesn’t necessarily weaken Prince George’s influence. It changes who carries it. Prince George’s itself is undergoing a dramatic generational transition. Official 2026 results show Aisha Braveboy winning the Democratic County Executive primary with 87,944 votes and 73.31% of the vote. (Maryland State Board of Elections) That’s political infrastructure. Prince George’s is one of Maryland’s central Democratic vote engines. A county executive with that level of primary support gains: appointments, budget influence, organizational relationships, donor access, and a platform for cultivating the next generation of political leadership. Braveboy therefore isn’t merely another person on the Maryland power map. She controls a place from which a political organization can be built. Boafo is particularly interesting because he sits almost perfectly at the intersection between the old and new worlds. He worked for Hoyer. Hoyer endorsed him. Moore endorsed him. Then Boafo beat an enormous Democratic field for Hoyer’s seat. (AP News) That doesn’t make him powerful on Hoyer’s scale. He’s just beginning. But it illustrates how power actually transfers: not through a ceremonial handoff, but through endorsements, donors, staff, relationships, and voter confidence. Boafo may become Hoyer’s congressional successor. He will not automatically inherit Hoyer’s 40-plus years of political capital. That part has to be rebuilt. This is the part that often gets overlooked. When a machine breaks apart, power doesn’t only move upward. Some people’s relationships become less valuable. Former Miller aides still know Annapolis. Former Miller allies still possess institutional memory. Veteran lobbyists don’t forget how legislation works. But something fundamental disappeared when Miller did: the common center. The person capable of connecting all of them instantly was gone. That changes the value of a political network. Imagine knowing everybody in Annapolis. Useful. Now imagine the person who introduced many of those people, appointed committee chairs, influenced Senate priorities and understood decades of relationships is simultaneously Senate President. Much more useful. Remove that person and the individual relationships remain. But the system becomes decentralized. First: Bill Ferguson. The Senate’s institutional relationships now run through his leadership rather than Miller’s. Second: the House leadership. With the Miller-Busch generation gone, today’s House leaders are building their own committee chairs, alliances and relationships. Third: Wes Moore. Moore became governor after Miller was gone. That distinction matters. Earlier governors had to operate with Miller sitting across State Circle. Moore entered office during a generational reset. Instead of negotiating with the old machine, he has the opportunity to help build the next network. Fourth: Angela Alsobrooks and the emerging Prince George’s generation. Hoyer is leaving. Miller is gone. The county’s political leadership now belongs to another generation. Fifth: politicians who were outside the old Miller organization. When someone dominates an institution for 33 years, inevitably some politicians develop within that organization and others outside it. Miller’s departure created room for people who may never have risen as quickly under the old structure. That’s the biggest point. If Mike Miller’s power had simply transferred to Bill Ferguson, Maryland would still have a machine. If Hoyer’s influence simply transferred to Boafo, Maryland would still have a machine. If every county leader simply took orders from Moore, Maryland would have a machine. None of those things happened. Instead: Moore controls the statewide executive platform. Ferguson controls the Senate. Peña-Melnyk controls the House. Alsobrooks has statewide and federal reach. Braveboy has Prince George’s executive power. Pittman leads the state Democratic Party after Moore encouraged him to seek the role. (The Maryland Democratic Party) Boafo represents the beginning of the post-Hoyer congressional generation. And Baltimore, Montgomery County, organized labor, donors and other county organizations maintain their own centers of influence. That’s not one machine. If you want to understand where Maryland power is moving, don’t simply watch office titles. Watch endorsements. Who does Moore support? Who does Alsobrooks support? Who gets Ferguson’s allies? Who gets House leadership? Who gets Hoyer’s blessing? Who gets labor? Who gets major donors? And most importantly: That is where the new Maryland network becomes visible. The Boafo race was a textbook example. Hoyer’s successor didn’t emerge randomly from 24 candidates. He had ties to the outgoing incumbent and support from the governor. The old network and the emerging one overlapped. And voters chose him. (AP News) Moore may ultimately become the most important person in determining whether Maryland develops another durable statewide political organization. But the test isn’t whether Moore himself remains popular. The test is what happens to the people he supports. Which delegates become senators? Which senators become committee chairs? Which county officials become executives? Which staffers become candidates? Which appointees become statewide leaders? Who gets his donor network? Who gets his political advisers? Who eventually gets his endorsement when Maryland faces a post-Moore gubernatorial succession fight? That’s how we’ll know whether Moore was merely a successful governor— or the founder of another generation of Maryland power. There’s another category worth watching: politicians who came from Miller’s Maryland but remain active in the new one. Dereck Davis is one. Anthony Brown is another. Veteran legislators and former officials throughout the state still possess old relationships that newer politicians don’t. These people can function as bridges. That’s important because political systems rarely reset completely. The new machine usually grows partly from pieces of the old one. Donors don’t disappear. Lobbyists don’t disappear. Operatives don’t disappear. Institutional memory doesn’t disappear. They find new centers of gravity. If you want one name: His overwhelming 2026 Democratic renomination, executive authority, national profile and influence within the Maryland Democratic Party make that difficult to dispute. (WBAL-TV) But saying Moore “runs Maryland” the way Miller once ran the Senate would oversimplify the reality. Maryland power today looks more like this: WES MOORE Statewide organization.Appointments.Fundraising.Executive government.National Democratic relationships. BILL FERGUSON The Senate.Committees.Confirmations.Legislative leverage. JOSELINE PEÑA-MELNYK The House.Committee leadership.Budget and legislative leverage. ANGELA ALSOBROOKS Statewide electoral organization.Federal platform.Prince George’s relationships.National Democratic connections. AISHA BRAVEBOY Prince George’s executive organization.County government.A major Democratic vote base. THE POST-HOYER GENERATION Boafo and the emerging political class that will have to rebuild Hoyer’s Washington-Maryland network rather than simply inherit it. It did something more interesting. Mike Miller’s influence was too personal, too old and too deeply rooted in his own relationships to be inherited whole. Hoyer’s network is too extensive and too intertwined with decades of congressional politics to fit neatly inside one successor. So the pieces are moving. Toward Moore. Toward Ferguson. Toward Peña-Melnyk. Toward Alsobrooks. Toward Braveboy. Toward younger candidates and new county organizations. And toward veteran political survivors who understand both eras. That’s the next chapter of Maryland politics. The person who eventually connects: Annapolis, Prince George’s, Montgomery County, Baltimore, labor, business, donors, the Maryland Democratic Party, and the congressional delegation will possess something Maryland hasn’t truly seen since Miller’s heyday. Not merely another elected official. And maybe that’s why searching for “the next Mike Miller” is the wrong exercise. There may never be another one. The more important question is: Miller spent half a century becoming that person. Hoyer spent decades becoming another version of it. Maryland’s current political leaders are still competing for the privilege. And until somebody actually connects all those pieces, the most accurate answer to the question “Who runs Maryland?” may be the most fascinating one of all: No one does. Not anymore. But there are plenty of people trying. Sources University of Maryland and Maryland Matters — Miller’s 33-year Senate presidency and political legacy. (Behavioral and Social Sciences) Washington Post historical reporting — Miller’s rise from Maryland machine politics and ability to retain power as the Senate evolved. (The Washington Post) Maryland Matters — former top Miller aides who moved into Annapolis lobbying and the changing Senate power structure. (Maryland Matters) Washington Post and Reuters — Hoyer’s January 2026 retirement announcement after more than four decades in Congress and his long Democratic leadership career. (The Washington Post) Associated Press — Adrian Boafo’s 2026 victory in the Democratic primary to succeed Hoyer, including Hoyer and Moore’s support and Boafo’s “pass the torch” remarks. (AP News) Maryland Democratic Party — Steuart Pittman’s official biography stating that he sought the state chairmanship at Moore’s suggestion. (The Maryland Democratic Party) Maryland General Assembly — official 2026 records identifying Bill Ferguson as Senate President and Joseline Peña-Melnyk as Speaker. (Maryland General Assembly) Maryland State Board of Elections — official 2026 Prince George’s County results showing Aisha Braveboy’s dominant County Executive primary victory. (Maryland State Board of Elections) 2026 election reporting — Moore’s overwhelming Democratic gubernatorial primary victory. (WBAL-TV)
A new snake species discovered in the jungle has been named after Guns N’ Roses guitarist Slash; here’s why scientists chose the rock star’s name
A newly described snake from the forests of New Guinea has been given a name familiar to rock fans around the world. Scientists have named the non-venomous species Lielaphis slashi, or Slash’s groundsnake, after Guns N’ Roses guitarist Slash, whose real name is Saul Hudson.
Nasr AbuOleim on Overcoming Entrepreneurship Challenges and Building a Statewide Business Portfolio
Discipline, humility, and a willingness to put in the hard work would ultimately reshape AbuOleim’s outlook on life. As he enrolled in the University of South Florida to study engineering, he chose not to let discomfort discourage him.
More of Trump’s Chosen Candidates Lose Republican Primaries
A series of recent losses has eroded the president’s winning record, raising new questions about his hold over the party’s voters.
Democratic socialist Angie Nixon won the Senate primary in Florida. Can she win in November?
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Progressive scores upset victory in Florida, and other takeaways from Tuesday's elections
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"We chose the worst time in history" – Harvey Smith on starting his own studio after Arkane
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America’s reddest state crowns GOP governor nominee
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Key takeaways from Tuesday’s primaries in Florida, Alaska and Wyoming
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Heisman Hopeful Arch Manning Wears #16 Because of Jaguars' Lawrence
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Sony still hasn't chosen a PlayStation 6 release date, says CEO, as RAM crisis continues
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AI needs science’s search history
“Actually, that’s where the gold is,” said Alasdair Russell, my graduate school friend who leads a pre-clinical genome editing group at Cambridge. He was talking about the winding road of science that is omitted from published papers. “When you’re discussing how to do the experiment, and why this way is better than another way, and what does the data really mean? I know what it shows, but what does it mean?” At RAAIS 2026, he described how his group has begun logging the twisting path of discovery as it happens, recording the verbal and written exchanges that normally disappear. Ideas become nodes in a living graph: they branch when a meeting produces two plausible experiments, merge when separate lines of evidence converge, and go dark when someone quietly stops pursuing them. In his implementation, one agent scores novelty, while another tries to learn “how scientists think and how they navigate through a complex world of data,” so that high-potential nodes can trigger deeper investigation. As frontier AI labs deploy agents toward scientific discovery, giving AI authentic scientific taste remains a trillion-dollar dilemma. The bottleneck is that the record we have kept for centuries of science might be insufficient to get us there. The experiments that never make the paper Peter Medawar, 1960 Nobel laureate and “father of transplantation,” asked in 1963 whether the scientific paper was a fraud, and answered yes: the form of the paper misrepresents the thinking that produced it. Sixty years on, the diagnosis is unchanged. A paper presents a clean progression from hypothesis to result to conclusion. Lost along the way are the unconventional theories, the abandoned or unaffordable methods, and the underwhelming and inconclusive data. It reads like a browser history with every dead end deleted: the ten open tabs, the four rephrased queries, the wrong turn down a subforum. All scrubbed, leaving one clean path from question to answer as the canonical path. What has changed since then is that the discarded material is now worth something. No high-impact journal wants these artifacts, but raw trial and error is the most likely source of the training data required to develop scientific intuition, or what researchers call taste. Earlier attempts to capture the discards were motivated by scientific integrity. The Journal of Negative Results in Biomedicine launched in 2002 to publish rigorous studies that disputed established models or exposed ineffective treatments. Its archive preserved negative conclusions after they had become papers, rather than the live alternatives and arguments that produced them. BioMed Central closed it in 2017, saying the mission had been served now that other journals publish null results. A less generous reading is that in fifteen years it published around 200 papers because almost nobody wants to read a negative result, let alone write one up when it will not count toward academic tenure. AI models are different. Even an uninteresting negative result can be useful, provided it is labeled. Earlier this year, Anthropic put a version of this to the test. The company pulled 129 decision points from real Claude Code sessions between January and March 2026, showed models the work up to a human detour, and asked what should happen next. Claude Mythos Preview beat the human choice 64% of the time, while Opus 4.5 managed 51%. The comparison was tilted toward the models because Anthropic deliberately chose moments where the human decision had room for improvement. On 127 further scenarios where the human action was already strong, the models improved on it only about 20% of the time. The study was possible because Anthropic’s researchers work inside a tool that logs by default. The reasoning, detours and outcome are produced in the same working environment. Biology has no equivalent. Its reasoning happens in hallways, at benches, in Slack threads and on whiteboards, while the outcome arrives weeks later somewhere else. The record has to emerge from the work itself. Ask scientists to reconstruct it afterwards and we’ll create another polished account. Subscribe A log is not a label Before any of this becomes training data, a negative result has to say what failed. The first paper published in the Journal of Negative Results in Biomedicine examined 234 negative studies across five leading medical journals. Only 30% discussed statistical power, and half clearly defined a primary outcome. Tell a model an experiment failed, without telling it whether the assay was underpowered, a reagent had degraded, or the hypothesis was simply wrong, and it will learn noise with confidence. Decision histories have a second missing label too. When a lab considers five experiments and runs one, only the chosen branch returns an outcome. The other four are experimental counterfactuals. Researchers call this the selective labels problem: the data reveal results only for the actions someone chose to take. Such a record can teach a model to imitate a lab’s taste, but it cannot establish that the taste was good. It also smuggles local constraints into general lessons. A lab that never ran cryo-EM because it did not own a microscope teaches a model that cryo-EM is rarely the right call. Alasdair’s nodes preserve the candidate set, which is the necessary first step. To be useful, each decision record needs six fields: The evidence available at that moment, and nothing that arrived later. The candidates considered, including the ones dismissed in a sentence. For each candidate: the expected result, the confidence attached to it, and the cost in time and money. The route chosen, and the reason. What happened next. How the evidence changed the scientist’s view. These must be timestamped before the outcome, because hindsight turns uncertainty into inevitability. Disagreement also has to survive. Averaging three scientists into one clean rationale reproduces exactly the information loss we are trying to fix. But there is an obvious failure mode here. Once decisions are logged and scored, people log for the record post-facto. Anyone who has watched an electronic lab notebook fill up with retrospective tidying knows how quickly a research tool becomes a compliance exercise. A record that costs a scientist ten minutes of honest reflection per decision is worth far more than one that costs an hour of performance. A publication initiative called Registered Reports offers a useful starting point. Here, researchers submit their rationale, methods and analysis plan for peer review before the data exist, and the journal commits in principle to publish if they follow the approved plan. Nature has now expanded the format across every field it covers. This approach to paper writing timestamps intent before the outcome, but it freezes one plan. A useful search history must also preserve how the plan changed, which alternatives were rejected, when, and on what evidence. Subscribe Run the runner-up Autonomous labs show what happens when decisions and outcomes are connected in a loop. Liverpool’s mobile robotic chemist ran 688 experiments over eight days in a ten-variable formulation space. A batched Bayesian search used each result to choose the next experiments and found photocatalyst mixtures six times more active than the starting formulations. Every completed experiment changed what the system did next. The robot optimized within a goal and search space that humans had already chosen. It did not decide which scientific question mattered. So what this work demonstrates is narrower, but still useful: a search history pays off when the options return standardized outcomes quickly. Open-ended biology is harder because branches can take weeks and the discarded alternatives may never be run. Some exploration therefore has to be bought. Where two branches are plausible and the stakes justify the cost, a lab should sometimes run the runner-up. Otherwise the record captures what today’s scientists usually chose and stays silent on what they systematically overlooked. A funder could ring-fence a small fraction of a grant for the branch not taken, provided that the decision record and the outcome are both deposited. That costs money, but so does having every lab rediscover the same abandoned path. Test whether taste transfers When it comes time to evaluate if our new AI system exhibits taste, the comparison should run across laboratories and fields. At selected decision points in a live research campaign, we should freeze the six fields: the evidence, the candidates, expected results, confidence, costs and the choice made. Experts then rank the options before the outcomes are known, and those outcomes are checked independently later. We could give models one of two diets - papers alone, or papers plus decision histories - and ask them to rank the next experiment on unfamiliar projects. Then, we score information gained per dollar and week, calibration, and how quickly weak branches are abandoned. If histories improve choices only inside the lab that produced them, they amount to useful organizational memory. If they improve choices on unfamiliar problems elsewhere, Alasdair’s group will have captured something science has never managed to write down: a transferable record of taste. Until that happens, a scientific search history is a promising record, not yet a training set.
Mike Chen to Publish YA Debut ‘Of Sorcery and Science’
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Ideas for Home Entertainment Spaces
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Cohen's reversible male contraception research earns recognition at international science summit
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Carmen Solórzano and David Penson to serve in top surgical posts
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XBAND, the health tracker to wear with your own watch
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‘Project Hail Mary’ and More Science Fiction Movies to Stream Now
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Ferris State's Tony Annese chosen to be inducted Into Michigan Sports Hall Of Fame
Courtesy of Ferris State Athletic Communications
Reds CEO Hogan on potential investor Bhatia
With Liverpool stating that they have more than 26 million supporters in the USA, there is little surprise over why the Reds chose America as the destination for their pre-season tour. This has been quite the summer for football here and Billy Hogan, CEO of Liverpool and Fenway Sports Group (FSG), insists the aim is to build on that after what has been a "super difficult year" for the club "for lots of different reasons". Last week, FSG, which owns Liverpool, confirmed that a consortium led by Amit Bhatia, a British-Indian millionaire businessman, was in talks over a strategic minority investment in the club.
Japan Studio Was Closed As It Couldn’t ‘Drive Hardware Sales’
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Stony Brook University Researchers Chosen for DOE Genesis Mission AI-for-Science Awards
July 27, 2026 — Researchers at the State University of New York at Stony Brook (Stony Brook University) secured five inaugural awards through the U.S. Department of Energy’s (DOE) Genesis Mission, a national AI-for-science initiative designed to accelerate scientific discovery and strengthen U.S. leadership in innovation, energy and national security. The awards reinforce Stony Brook University’s […]
What England's local councils tell us about fragmenting politics
Even the most ardent advocate for local democracy would concede that council chambers are not always the most exciting places. Subscribe Whether it’s planning meetings, motions or resolutions, you’d be forgiven for switching off. Unless it’s lockdown and we’re talking about standing orders, of course. Remember Jackie Weaver, who infamously “had no authority here” at a chaotic parish council Zoom call in 2021? Yet, as a general rule since then, council meetings rarely make the headlines beyond local papers and news websites. Reform’s success After Reform’s stunning success at the local elections in May though, the leader of the party’s group on Kirklees Council suddenly found she’d gone viral online for admitting that she didn’t actually understand council procedures. “I don’t understand the constitution”, Councillor Sarah Wood, pictured above, told the council chamber. “I have not had sufficient time to read that as yet. I don’t understand what standing orders are, what they’re made up of, nor do I understand what an amendment is.” Share Channel 4 News Councillor Wood later defended her comments to the BBC, and said that “new councillors and not just us, are coming from jobs”. She claimed that the sharing of the clip mocking her online was an example of “Reform-bashing”. She added: “Yes, we need to know procedures. Yes we need to do the homework. And we have addressed that now and we have put that right.” So, with standing orders getting another moment in the spotlight, not to mention the fracturing and fragmentation from May’s results, we set out to find out how new councillors are doing across England in this new political landscape. New political landscape Where better to start then than Kirklees, in West Yorkshire. Reform is the largest party, the council is under no overall control and has chosen a new leader - Sarah Wood - after two failed attempts to elect one. It is difficult to secure interviews with new Reform councillors, but John Hardie, pictured below, told us it’s been a “whirlwind” since being elected in May. He represents the Dalton ward and told us the party’s lack of political experience hasn’t been a hindrance. “We’ve come with lots of experience, lots of business experience and life experience, and it’s been good, actually, too. And to mix with other councillors who have been in the political world, and we can learn from each other.” Indeed, more parties are now having a say than ever before. In Manchester, the Green Party followed up their victory in the parliamentary by-election in Gorton and Denton by gaining 17 seats on the city council. That makes them the official opposition to Labour, who have long dominated Manchester City Council. [ ](https://channel4news.substack.com/p/how-landmark-green-by-election-win) [ How landmark Green by-election win could change British politics ](https://channel4news.substack.com/p/how-landmark-green-by-election-win) Krishnan Guru-Murthy · Feb 27 [ Read full story ](https://channel4news.substack.com/p/how-landmark-green-by-election-win) Thirza Amina Asanga-Rae, pictured below, is one of those new councillors, representing Moss Side. We asked her how being the official opposition can make a difference. She said: “I think even the fact that we’ve made history in what we’ve done, it’s been a 50-year stronghold of Labour in Manchester, and now that we’ve broken that and chipped in that, there’s real hope that we can not only run the council in the future, but currently hold them to account. So, I think that’s powerful. It’s just going to help shape and build what I call the green wave.” The reality, though, is that several newly elected councillors across the country have already left their roles through resignations, suspensions or defections. ‘It’s a slog’ Asanga-Rae adds: “It’s a job, it’s a slog. Obviously, we’re going through hard times. Austerity is real. We’re talking about food, child poverty, furniture poverty. The list is endless, and I think people who come into a councillor role need to be willing to help, really roll the sleeves up and get involved and help, and I think a lot of the career politicians, who think it’s the ‘la-di-da’ position, get in and realise I’m not going to do this work and bounce.” Share Although Manchester still has a clear majority, many councils, including Kirklees, are now under no overall control. That is perhaps the strongest sign of the political fragmentation we are seeing. Burnley is another example of this. Reform is now the largest party, yet they’re not part of the power-sharing coalition on this council - the Liberal Democrats and a local group of independents. Zulkernehn Hayat, pictured below, is part of The Independent Group. He represents Queensgate ward and told us all councils can benefit from having more independent councillors. ‘This is where I was brought up’ He said: “This is my home. This is Burnley. This is where I was brought up. Why do I need to get approval from somebody in a head office down south somewhere, you know? “This is my biggest argument. If okay, my neighbour comes to me with an issue, I can then take that straight to the council, because I don’t need to get approval from anywhere else. And this is the benefit of being independent.” So, while voters will always inevitably want quick results, perhaps spare a thought for the newly-elected councillors who are still navigating local government - one standing order at a time. 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According to Bar Harbor Police Chief David Kerns, most complaints about noise happen after 10 p.m., and if the Finback had two more violations within a year, they’d have to stop having music. One town councilor said that he’d have no problem reissuing the permit if the door was down. The permit passed through the process with no conditions. Vice Chair Earl Brechlin moved the motion with two time changes for two holiday weekend dates. It passed unanimously. The council asked the Finback why they’d chosen an indoor license with a wall that can be opened to the street. Dale Stockburger, representing the Finback, said he’d applied for an indoor permit rather than an outdoor structure or partial structure (which is usually applied to tents or pavilions). The restaurant has traditionally had an indoor license. Stockburger said that whether the door is open or closed is immaterial because he now stands outside with a decibel reader to make sure that the music isn’t too loud. OTHER SPECIAL AMUSEMENT PERMITS New Councilor Deborah Vickers worried that she had potential conflicts of interests on two other renewals due to the location of her employee housing. Vickers co-owns the Black Friar Inn. They have employee housing directly behind the Finback, which is also 300 yards from the Bar Harbor Inn, she explained. The Bar Harbor Inn also had a permit up for renewal. The councilors unanimously voted she did not have a conflict of interest. The councilors approved permits at The Bluenose Inn, 90 Eden St, Class A; Acadia Hotel Downtown, 20 Mount Desert St, Class A and C; the Bar Harbor Inn, 8 Newport Dr, Class A, B, C and D; C-Ray Lobster, 882 State Hwy 3, Class D; Holiday Inn Bar Harbor Regency, 123 Eden Street, Class B; Finback Alehouse, 30 Cottage St, Class B; Project Social, 278 Main St, Class C and D; Bar Harbor Beer Works, 119 Main St, Class B and D; and Mainely Meat BBQ Dreamwood Hill, 369 State Hwy 3, Class D. That process is laid out in the Special Amusement Ordinance of the Bar Harbor Town Code which is Chapter 14 of the town code. Special amusement permits have class codes. These are the meanings: Number - how many musicians are allowed by the permit. Class A - Indoor non-amplified entertainment. Class B - Indoor amplified entertainment or dancing. Class C - Outdoor non-amplified entertainment. Class D - Outdoor amplified entertainment. RESIDENCE LICENSES RENEWED AND A TAXI LICENSE The councilors also renewed the licenses for three specific sorts of residences that require that yearly renewal per the town code. The employee living quarters at Atlantic Oceanside Hotel, 119 Eden St and another at 278 Main Street were renewed. The shared accommodations license renewal at 39 Kebo Street also occurred. These are annual renewals. Bernard Taxi Services’ license was also renewed. This license had been added to the agenda at the meeting. Bar Harbor Update on Leaf and Grass Clipping Disposal BAR HARBOR — Bar Harbor residents will still have a place to throw away their leaf and grass clippings this summer. The town’s agreement with EMR in Southwest Harbor for disposing of those items will continue through November 30. The agreement, according to a town press release, will continue “while the Town continues evaluating long term composting solutions and the required state permitting process.” As of July 1, residents bringing their grass and leaves across the island to the facility in Southwest Harbor will have to fill out a property registration card. Each property can throw out up to 85 pounds of the grass and leaves. “Any disposal exceeding the 85 pound allowance during this period will be the responsibility of the property owner at the applicable disposal rate,” the press release explains. 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Have questions about sponsorships? Just send Shaun an email at sfarrar86@gmail.com, he’d love to hear from you. Subscribe Share Bar Harbor Story Share Leave a comment
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Making Our Own Luck
We are cross-posting a piece that former NIH official Kris Willis wrote for Macroscience. Kris is now the President and Founder of the Woodley Park Institute, for which I’m a board member. Picking winners or hedging bets? Federal science agencies have long wrestled with the question of how to ensure their billions of dollars of grants and contracts result in maximum benefits for Americans. On the surface, it might seem that a goal-oriented, interventionist style of management would be the best policy: prioritize our most pressing problems and distribute funding accordingly.This top-down strategy creates a unique hazard, though: bad choices can send resources in the wrong direction, resulting in slow progress that impedes the delivery of tangible benefits to citizens. Moreover, if decision makers pursue an applied advance when the underlying scientific principles remain poorly understood, they risk costly failures and a loss of support for the research enterprise at large. Examples include Nixon’s 1971 War on Cancer, undertaken on the premise that a cure could be achieved in less than a decade, the drive to build an operational commercial fusion plant by the mid-1990s, and the National Plan to Address Alzheimer’s Disease, which failed to produce the effective treatments and prevention strategies promised by 2025. The contrasting laissez-faire approach is to hedge your bets. If the path to an advance is impossible to predict, then the wisest choice might be to distribute funding to as widely as possible. The main risk of this strategy is that spreading funding thinly may limit the resources available to the most promising research, resulting in the same negative outcomes as the interventionist approach: limited support for the most promising topics, slow progress, and delayed returns. In reality, at science agencies like the National Science Foundation and National Institutes of Health, program managers navigate between these two extremes, setting some funds aside to target high-priority areas and using the rest to cover the widest possible range of meritorious proposals. This middle path seems like the most rational way to proceed, but it still requires making choices. How much should be set aside for high priority topics? What should those topics be? How should we define merit? Expert opinion can provide a helpful guide, but leading experts can have remarkably different opinions about what matters and what should be prioritized. Moreover, experts and administrators alike can be risk averse, giving an edge to high-profile, well-established concepts. What’s really needed is a data-driven framework to help guide decision-making, one that doesn’t simply repackage prestige or incumbency. Recognizing breakthroughs years in advance Many breakthroughs fail to attract funding or recognition at the earliest stages of development. Katalin Karikó, for example, spent years struggling to win grants for work on mRNA that would eventually win her and Drew Weissman a Nobel Prize. Similar stories can be told about Jim Allison’s groundbreaking studies leading to the development of cancer immunotherapy, Stan Pruisner’s demonstration that prions can self-replicate without DNA, or Robin Warren and Barry Marshall’s proof that Helicobacter pylori, not stress, causes ulcers. Yet at some point, the scientific community recognizes and responds to transformative breakthroughs like these. How does that change happen? And what if science funders could identify the areas that are on the cusp of a breakthrough? Those questions led my collaborators and me to study how scientists responded to past breakthroughs. Based on patterns in that data, we developed a means of predicting future breakthroughs, using biomedicine as a proof of concept. It’s worth taking a moment to describe how our approach works. Briefly, our prediction process begins by grouping the 18 million or so peer-reviewed papers in PubMed, the authoritative database of biomedical research, into roughly 50,000 unique topics. A small subset of these topics are so widely acclaimed as breakthroughs that they have been recognized with a major prize like a Nobel or a Lasker Award. We theorized that studying the development of these outliers over time, especially before they gained acclaim, was the key to identifying future instances of them. After defining topics, we chose 21 representative breakthroughs and asked what they looked like before they won prestigious prizes. To answer that question, we re-ran our topic-mapping algorithm repeatedly, winding back the clock one year each time, stringing together the years to follow the progress of each field as it grew and advanced. We found that in each case, the years leading up to a discovery followed a pattern: a burst of papers on a new, rapidly evolving topic, many of which quickly became influential. These characteristics—the percent of papers that are new, the percentage of papers that are brought in from other topics, and the influence of each individual paper—can all be measured separately for any given topic. Together, they act as a predictive signal that is detectable an average of five years before a transformative discovery is made, and up to thirty years before the discovery receives a major prize. Scanning the current research landscape for topics that display this signal allows us to predict what work will likely produce a future breakthrough. Each year we analyzed includes four or five signals, a number that appears to have remained constant across a twenty year time frame. In their classic work on the sociology of science, Bruno Latour and Steve Woolgar established that the desire to participate in a major discovery is an important motivator for scientists as they consider whether they should take up (or abandon) a research problem. Although further work is needed, the simplest explanation for our results is that this behavior is widespread enough to detect at scale. A foundational advance, or something like it, draws the attention of scientists and causes them to change the direction of their research. They vote with their feet, staking their own reputation and careers by publishing on and citing the new idea. That upswell of interest is the foundation of our breakthrough signal. What kind of research does our model identify as a breakthrough? After building a model based on the patterns in our 21 preselected breakthroughs, we tested it by identifying all early signals of discovery from 1994 through 1997. Of the 18 signals we found in that time period, 17 can be traced forward in time to a breakthrough. Examples include super-resolution fluorescence microscopy (see the image above), the directed evolution of proteins and enzymes (Chemistry Nobel, 2018), and sequencing the human genome (National Medal of Science, 2008). The discovery of the role of leptin signaling in obesity is a particularly interesting case study. Around 1950, scientists noticed the existence of a type of lab mouse that suffered from a unique inherited form of obesity. When given the freedom to choose their own diet, these mice ate more than normal and preferred food that was high in fat. Researchers had few clues as to why the animals overate; early experiments pointed to the existence of a soluble ob factor found circulating in the bloodstream that regulated appetite, but its identity was unknown. In 1994, Jeffrey Friedman and colleagues identified and sequenced the ob gene, noting that the protein it encoded appeared to fit the profile of a circulating factor. A year later, a trio of high-profile publications demonstrated that ob was a hormone that regulated body weight and fat deposition by regulating appetite. One of these was co-authored by Friedman, who christened it leptin from the ancient Greek word for thin. Using our model, the data from 1996 make it clear this advance would become a breakthrough. Scientists had flocked to study the biology of the new hormone, generating the flurry of new papers and citations required to produce a signal. One of these demonstrated that serum leptin concentrations reflected the amount of adipose tissue in the human body, providing clinical validation of the earlier mouse studies. Before the identification of leptin, scientists were unable to point to a specific molecule that controlled appetite and adiposity, so that it was impossible to rule out non-physiological causes of obesity; its characterization fundamentally changed our concept of weight gain. In 2010, Friedman and fellow pioneer Douglas Coleman were awarded a Lasker for the discovery. Our work also identifies breakthroughs in clinical practice and behavioral and social sciences, even though these areas are less likely to draw the attention of major prize committees. One example that falls into this category is the introduction of endovascular aneurysm repair, a minimally invasive surgical procedure for the treatment of abdominal aortic aneurysm, a leading cause of death among Americans over the age of 65. Relative to the previous standard of care, it reduces in-hospital mortality by almost four-fold. In 2017, Timothy Chuter received the American College of Surgeons’ prestigious Jacobsen Innovation award for his multiple refinements to the technique. Another under-recognized breakthrough identified by our model is the development of standardized survey instruments to assess the quality of life for HIV+ patients. The antiretroviral cocktails introduced in the mid-1990s reduced AIDS mortality, but treatment came with serious side effects. The new evaluations showed that patients whose disease progressed had worse physical functioning than Americans with other chronic diseases, while those who were asymptomatic maintained a health-related quality of life on par with the overall US population. This evidence made it possible for patients and activists to argue that even in the absence of a total cure, and in spite of the side effects, alleviation of symptoms was a worthwhile priority for clinicians. My colleagues and I have failed to identify any significant recognition for the physicians and health policy experts who pioneered this advance, although in 2016, researchers called for the World Health Organization to set targets for good health-related quality of life as part of its framework to end the AIDS pandemic. From forecasting to funding How should science funders use our predictions? Any serious discussion of what we should do with this new capability needs to begin with an understanding of its limitations. We can’t (and shouldn’t) invest all of our resources in the small number of topics predicted to produce breakthroughs. Innovative new fields are born from existing ones; they rarely arise de novo. If funders don’t maintain a diverse portfolio, the breakthroughs of tomorrow will have no antecedents. Think of this as eating the seed corn, or killing the goose that lays the golden egg. There are also multiple goals of funding beyond basic scientific discovery, including translating discoveries into clinical practice, developing new technologies, supporting economic development, and training new scientists. The investments needed to accomplish these goals are likely different from those required to support emerging breakthroughs. Finally, we must be aware that we may not capture every instance of a breakthrough. The concept is fuzzy, and not every significant discovery is recognized with a major award. Further, breakthroughs are rare, meaning that our dataset is, by necessity, small. This makes formal estimates of accuracy challenging. Although our overall success rate appears to be high, any one signal may turn out to be a false positive. We found one apparent example: the development of the third generation COX-2 inhibitors, Vioxx and Celebrex, which were much celebrated in the early 2000s as effective but non-addictive pain relievers, meets all the algorithmic criteria of a breakthrough. Five years after it received FDA approval, researchers demonstrated that Vioxx was associated with serious cardiovascular complications, and the manufacturer voluntarily pulled the drug from the market. Celebrex remains available, although like other NSAIDs, it carries an FDA warning for increased cardiovascular risk. Decision makers who were overly focused on the breakthrough potential of this research might have wasted substantial resources nurturing an area that ultimately proved to be a failure—but so would those who relied on expert opinion at the time. That said, the potential benefits of funding the next mRNA vaccine or cancer immunotherapy years earlier than we might have are large. When we can’t assume the outcome of an action, it’s worth conducting an experiment. Can targeted support for areas that are poised to produce a breakthrough increase the return on scientific investment without cannibalizing future advances? With the necessary administrative infrastructure in place, conducting this experiment would be straightforward. First, identify all the breakthrough signals between 2018 and 2023, select half at random, and commit to a decade of investment. For biomedicine, a six year window should yield about 30 topics with the potential to produce a breakthrough. Providing strong support to half of these might be accomplished for $300 million a year. That’s roughly half of the recent annual budget of the NIH Common Fund or around 20% of the fiscal year 2025 budget for ARPA-H. After five years, then again at ten, compare to see which group — the one that was actively managed, or the control — produced more breakthroughs, and on what timescale. Although we used biomedicine as an example, the same experiment could just as well be run for physics, materials science, or any other discipline. Any attempt to undertake such an experiment should keep three points top of mind. First, we can predict the topic of future breakthroughs, but the people and vision for how to move the work forward are still important. In practice, this means success requires active program managers with the expertise to develop the science and the authority to do so, including by recruiting investigators. Second, we would be wise to learn from the failures of past attempts to fund transformative research. High among these are funding modestly repackaged work, confusing the genuinely novel with the merely unfamiliar, and relying too much on incumbent investigators. All of these risks can be mitigated by thoroughly and intelligently integrating high quality data into portfolio management. Finally, we need to have patience. Even with strong funding support, producing a breakthrough takes time. If supporting breakthroughs is the best way to nurture the birth of new fields, we also need to accurately describe and properly manage the other two stages, so that we invest wisely throughout the productive lifetime of ideas and divest once they reach the point of diminishing returns. We would benefit from more study of all of these phases, especially the transition from one to another. More research could answer questions like: When does a breakthrough become an established field? How do the availability of funding, the size and characteristics of the available workforce, and the accumulation of evidence that disagrees with prevailing models affect a field’s decline? Exactly how do old ideas give birth to new ones, and can we speed up the process? The more we understand about the dynamics of scientific progress, the better we can maximize the odds that our curiosity leads to results. I’d call that finding a way to make our own luck.
State advances over four hundred projects in bid for Rural Health Transformation Program funding
The state received about 1800 letters of interest from organizations, and those chosen are advancing to the application phase, or are getting grants for project planning.
Mamdani and AI Industry Flex Political Power in New York, Plus More to Watch in Tuesday's Primaries
WASHINGTON (AP) — Two opposing factions in the artificial intelligence industry square off in a Democratic primary for a U.S. House seat. New York City Mayor Zohran Mamdani tests his political clout by backing fellow democratic socialists. And President Donald Trump, after two of his chosen ...
Harrington chosen as Charlotte's interim mayor
Harrington replaces Vi Lyles, who stepped down as mayor effective June 30 in early May.
State advances over four hundred projects in bid for Rural Health Transformation Program funding
The state received about 1800 letters of interest from organizations, and those chosen are advancing to the application phase, or are getting grants for project planning.
Blending Creativity and Business with Emma Richey
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Starmer is stepping down. What could happen next?
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Science Over Tradition: Plymouth South Middle Schoolers Advocate for Later School Start Times
PLYMOUTH - June 15, 2026 - In a powerful demonstration of student advocacy, a delegation of eighth-grade students from Plymouth South Middle School presented compelling, science-based research to the School Committee, urging district leadership to push back school start times to improve adolescent mental health, well-being, and academic performance. The presentation sparked immediate commitment from the administration to formally evaluate the district’s schedule over the coming school year. Subscribe The Full Story The final in-person meeting of the academic year opened with a celebratory outdoor ceremony honoring dozens of elementary, middle, and high school student artists whose work was chosen for the biannual Central Office Artwork Awards. However, the evening’s primary policy focus quickly shifted to student-led civic action when eighth graders Sophia Scarini, Skye Togun, Leah Mansfield, James Moore, Avery Mahan and Lily Simpson took the podium. The students revealed that their presentation was the culmination of a year-long civics project involving local community assessments, interviews with former officials, and extensive literary analysis. The research sharply highlighted the biological mismatch between adolescent sleep patterns and current school schedules. Under the district’s current framework, Plymouth High Schools open at 7:20 a.m., Middle Schools at 8:12 a.m., and Elementary Schools at 9:05 a.m.. “The high school start times directly contradict students’ natural sleep patterns,” student Leah Mansfield explained, noting that the teenage brain does not naturally produce melatonin until around 11:00 p.m.. The student presentation underscored a harrowing correlation between sleep deprivation and severe mental health struggles, citing data that adolescents with insomnia are ten times more likely to develop depression. Conversely, data shows that just one additional hour of sleep results in a 28% reduction in students reporting feelings of depression or sadness.
Starmer’s future hangs in balance after Burnham’s Makerfield election win
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I had 2 job offers and chose the lower-paying option; how I decided
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May moving on as Hibs reshape backroom staff
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Liverpool have chosen their Yan Diomande alternative forward
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D.C. voters face a new political era without Eleanor Holmes Norton, after her 18 terms in Congress
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Trump-backed candidate wins primary to face Jon Ossoff in Georgia midterms
Republican primary runoff voters chose US representative Mike Collins to face Ossoff in November
Villa's lethal weapon takes on the World Cup
The moment Youri Tielemans's opener burst the net in Aston Villa's Europa League triumph against Freiburg, each of Unai Emery's substitutes took a turn to embrace the man responsible for orchestrating another set-piece goal. Goalkeeper Emi Martinez chose not to celebrate with his outfield team-mates, instead racing over to the dugout to also show his appreciation to Scottish coach Austin MacPhee. Villa fans were heard chanting the name of the 46-year-old as their heroes on the pitch closed in on a 3-0 victory in Istanbul.
New York healthcare executive chosen to lead University Medical Center
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‘The Cardinal Countdown: 84 Days Until Kickoff’
PAYTON COOK #84 Height: 6’1” Weight: 190lb Position: WR Class: Freshman Hometown: Akron, OH Summary: Brohm and staff wanted to go secure some weapons in the high school ranks in 2026, and Cook was high on the list of bolstering up the arsenal. A near consensus four star player, Cook chose the Cards over Miami, […]