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Detour ahead: Restaurants, shops strategize for coming Magnolia Avenue construction
Business owners along Magnolia Avenue are concerned about road construction planned to start next year.
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.
Is it time for both parties to bail on Colorado’s political nominating system?
Cracks are beginning to appear in Colorado’s political nominating system. Recently, Mario Nicolais, a formerly Republican-leaning pundit, and Doug Friednash, former Democratic legislator, have opined regarding the imminent demise of the caucus/assembly framework which controls partisan candidate selection. There has always been a legal detour around this process whereby candidates petition directly onto the ballot. […]
CRISPR roadblocks: Scientists identify genes blocking gene therapy success
Like a delivery driver navigating crowded city streets, a gene-therapy-toting lipid nanoparticle faces a gauntlet of potential detours on its journey toward a cell's nucleus. First, there's entering the ...
Three Mile Bay business owners prepare for summer bridge closure
Business owners in Three Mile Bay are bracing for a bridge closure next week that will force customers to take a detour to reach their establishments.
The Elder Scrolls 6 Will Return to Bethesda's 'Classic Style' After Detours With Skyrim, Fallout 76, Says Todd Howard
The Elder Scrolls 6 is going to be a return to Bethesda's "classic style" of games, according to Bethesda director Todd Howard.
Festival in a Box: Amsterdam 2026 Takes the Scenic Route
Festival in a Box: Amsterdam 2026 brings MagicCon home with orange hues, wild beauty, and a scenic detour through the Multiverse.
Microsoft patches Windows and Excel – breaks audio, remote access, and paste
Redmond's quality drive takes another detour through the known issues list
Flow of Parkway closure detours continues to surprise local businesses
During rush hour, it took Live Drive Four nearly 40 minutes combined to cross the Rankin and Homestead Grays bridges. Despite that, business owners said things haven't slowed down.
Bennettsville construction projects bring detours, challenges for local businesses
Driving through Bennettsville has become a maze of detours, road closures and changing traffic patterns as crews work on major water, sewer and road projects th
Along Parkway East detour routes, more cars don't mean more business
Chris Mullen stepped out of his 1124 Smoke Shop on South Braddock Avenue in the East Hills. Business was remarkably light — so he decided to help...
Businesses along detour routes get ready for Parkway East closure
The Parkway East closure starts Friday, and a lot of cars will be taking the detours on roads that already see a heavy traffic flow. What does this mean for businesses along those routes?
Gray whales are entering San Francisco Bay and many aren’t surviving
Gray whales are beginning to break their long-established migration patterns, venturing into risky new territory like San Francisco Bay as climate change disrupts their Arctic food supply. But this unexpected detour is proving deadly: nearly one in five whales that enter the Bay don’t survive, with many struck by ships in the crowded, foggy waters.
Roadblocks, detours and pit stops
The Amazing Race is a reality show in which teams of two race around the world, stopping to perform challenges called “Roadblocks” and “Detours.” The first team to cross the
Interview transcript: Game File x Xbox's Asha Sharma and Matt Booty
I’m trying something different today: offering all Game File readers a free write-up of a big interview, while also offering the interview transcript to paying readers. If you want to get the essence of my conversation with new Xbox CEO Asha Sharma and Xbox chief content officer Matt Booty, with context around their comments, check out the free piece. If you want more depth, this transcript is for you. I’ve lightly edited the conversation for clarity and flow, but you’ll still get plenty of Sharma and Booty’s thoughts, my questions, and a good sense of how our conversation progressed—complete with follow-ups, some conversational detours, and the best quotes that made it into the free piece.
Chef David Chang hits the road across the US in new food-centric CNN travel series
Chef David Chang's new CNN travel series, “The Detour with David Chang,” explores America's culinary landscape | Talk 1370
Can Science Still Afford Serendipity?
Serendipitous observations have shaped science for centuries. What happens to such discoveries when the academic atmosphere leaves no room for detours?
Wilkinsburg billboards try to attract new businesses during Parkway East detour: "Tunnel traffic is forever"
Coyote vs. Acme finally opens in theaters after multiyear detour
It was a long road.
FEATURE | Adil Bourabaa
The fact that there was no fire sale at Le Mans FC this summer, following their promotion to Ligue 1, was indicative. Whereas the likes of Mathys Detourbet and Martin Adeline left ESTAC Troyes after g...
Notre Dame 2026 Player Profile: Defensive End Keon Keeley
After a detour through Alabama, the former elite recruit Keon Keeley finally arrives at Notre Dame. Can the powerful edge rusher refine his raw technique to anchor the Irish defense?
Rising Stars: How VML Health’s Molly Kanofsky turns ‘an idea on a page’ into real-world impact
Molly Kanofsky had it all planned out. | VML Health's Molly Kanofsky ended up in the pharma marketing world after an unexpected career detour, where she's now able to merge her passion for healthcare with her creative side.
Business leaders gear up for Washington Street project
A website is planned to focus on positive, customer-friendly messaging during the project, letting consumers know about detours, promotions and anything else that will help get to businesses.
Trump makes a detour to Elvis Presley’s Graceland in Memphis during Iran war
Trump took the side trip to Elvis Presley’s home while in Memphis for an event on crime
Dallas businesses fear I-30 project disruptions
Could I-30 construction spell disaster for Dallas businesses? See how ongoing detours are taking a toll.
From detour to diploma, Maggie House ’26 earns Business degree
Maggie House '26 returned to Columbia College, earned her Business degree and transformed a detour into a success story.
Flooding closes roads in Marshall County, hurting business and raising detour concerns
Tuesday's storms are still causing issues in our area.Flooding across Marshall County is causing issues for people trying to get to their destinations as well a
Chef David Chang hits the road across the US in new food-centric CNN travel series
Chef David Chang's new CNN travel series, “The Detour with David Chang,” explores America's culinary landscape | Newsradio 1140 WRVA
Johnson Drive construction cuts business in half, owners say
A $12 million reconstruction of Johnson Drive in Mission, Kansas, has local business owners grappling with a drop in customers and detours as construction wraps up Phase Two.
Sacramento's Business 80 northbound lanes to be closed Saturday over American River
Many drivers in Sacramento will likely need to take a detour on Saturday as Caltrans is scheduled to close the northbound lanes of Business 80 over the American River.
Some Sacramento drivers adjust routes, others encounter delays amid Business 80 closure
Saturday drivers across Sacramento navigated detours through the heart of the city while crews completed critical work on the Business 80 bridge over the American River.
Closures on I-70 in Wheat Ridge causes detours and impacts local businesses
Local businesses say I-70 construction in Wheat Ridge is having a negative impact with another weekend of work slated for Sept. 25 through Sept. 29.
Chef David Chang hits the road across the US in new food-centric CNN travel series
Chef David Chang's new CNN travel series, “The Detour with David Chang,” explores America's culinary landscape.
Johnson Drive construction cuts business in half, owners say
A $12 million reconstruction of Johnson Drive in Mission, Kansas, has local business owners grappling with a drop in customers and detours as construction wraps up Phase Two.
Big businesses in Downtown Pittsburgh pivot to remote work for 2026 NFL Draft
Some Downtown Pittsburgh businesses have a simple message for their employees during the 2026 NFL Draft: Stay home. Big companies like PPG, Highmark and PNC are telling workers they don’t have to fight traffic, navigate around the detours or deal with the hassle of finding a coveted parking spot during
Chef David Chang hits the road across the US in new food-centric CNN travel series
Chef David Chang's new CNN travel series, “The Detour with David Chang,” explores America's culinary landscape | WWL
Manasquan merchants say Main Street construction is hurting summer business
Road closures, detours and fewer parking spaces are frustrating Manasquan businesses and visitors during a critical stretch at the end of summer.
Businesses react to Parkway East bridge reopening earlier than expected
Businesses along Parkway East and Commercial Street detour routes share varied experiences during the closure, with some seeing steady traffic and others reporting a slowdown.
$888M I-30 Canyon breaks ground as nearby businesses hope to survive construction
The $888 million I-30 Canyon project is underway in Dallas. See what changes are coming and why nearby businesses worry about detours.
Homestead businesses gain new customers from Parkway East detour
The Parkway East detour is sending drivers through Homestead, and local businesses are seeing benefits from the increased traffic.
"It's not gonna be good:' Local business braces for Parkway East closure
Dave Guerin, a Swissvale business owner, shared his concerns about the upcoming 25-day Parkway East closure, citing challenges for deliveries and suppliers navigating detours.
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