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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)
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Glenn Fogel runs the world’s largest online travel business. He still personally reads customer complaints because ‘you gotta get that sh*t right’
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Glenn Fogel runs the world’s largest online travel business. He still personally reads customer complaints because ‘you gotta get that sh*t right’
The travel industry, like every sector, is experimenting with the best use cases for AI. Fogel is working towards a world where tourism becomes an intelligence system in its own right
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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.