{"schema_version":"1.1","publication":{"name":"Hooray Machine","url":"https://hooraymachine.com","role":"Editorial summaries of linked external sources, not original research."},"access":{"mode":"public","public_discovery_enabled":true,"note":"Published stories are readable without an application API key."},"filters":{"q":"","category":null,"topic":null,"evidence":null,"from":null,"to":null,"source_from":"2026-09-01","source_to":"2026-09-30","page":1,"limit":20},"items":[{"id":"science-umass-ai-counts-bees-by-buzz","topics":[{"id":"climate-wildlife","name":"Climate & Wildlife"}],"article":{"version":1,"sections":[{"kind":"scene","text":"Counting bees has an awkward catch. The usual way to check how bees are doing is to set out small, colorful cups of soapy water, which trap and kill the insects so experts can identify them later. Getting an accurate count can kill tens of thousands of bees. That’s a rough trade when populations of many pollinators, bumble bees included, have been crashing for decades.","sourceUrls":["https://www.umass.edu/news/article/listening-buzz-umass-amherst-ecologist-develop-new-tool-monitoring-bee-populations"]},{"kind":"clever-bit","text":"Instead of trapping bees, the team listens to them. Bees make distinctive sounds when they fly, and bumble bees make a separate buzz when they shake pollen loose from a flower. Laura Figueroa, an ecologist at UMass Amherst, and colleagues at Cornell trained two AI sound models on 594 field recordings made over five years at 43 sites in the northeastern U.S. One model picks out bee activity in general. The other tells honey bee flight from bumble bee flight and bumble bee pollen-shaking.","sourceUrls":["https://resjournals.onlinelibrary.wiley.com/doi/10.1002/3070-5436.70006","https://www.umass.edu/news/article/listening-buzz-umass-amherst-ecologist-develop-new-tool-monitoring-bee-populations"]},{"kind":"result","text":"In the team’s peer-reviewed paper, published October 12, the models were checked against trained observers counting bees in flower patches, and the two sets of counts tracked each other closely. At the models’ strictest setting, 93% to 97% of the sounds they flagged really were bees. Both models are now built into Raven Pro, a sound-analysis program from the Cornell Lab of Ornithology that many wildlife researchers already use, and the team’s recordings are public on Dryad.","sourceUrls":["https://resjournals.onlinelibrary.wiley.com/doi/10.1002/3070-5436.70006","https://www.umass.edu/news/article/listening-buzz-umass-amherst-ecologist-develop-new-tool-monitoring-bee-populations","https://datadryad.org/dataset/doi:10.5061/dryad.sbcc2frnh"]},{"kind":"quote","text":"I’ve been working with bees for over a decade and can tell a bumble bee from a honeybee in the field by sound. If my brain can easily distinguish between bee categories, then we should be able to train an AI model to do it, too.","speaker":"Laura Figueroa, assistant professor of environmental conservation, UMass Amherst","sourceUrls":["https://www.umass.edu/news/article/listening-buzz-umass-amherst-ecologist-develop-new-tool-monitoring-bee-populations"]},{"kind":"hooray","text":"Scientists can check on bees by leaving a recorder in a flower patch, and no bees have to die for the count. It also reaches places that are hard to survey in person. Figueroa points to tree canopies and fields during heat waves, and the paper suggests the bumble bee model could help growers of buzz-pollinated crops like tomatoes and blueberries decide how many bumble bee colonies to use and where to put them.","sourceUrls":["https://www.umass.edu/news/article/listening-buzz-umass-amherst-ecologist-develop-new-tool-monitoring-bee-populations","https://resjournals.onlinelibrary.wiley.com/doi/10.1002/3070-5436.70006"]},{"kind":"next","text":"The authors want the models to learn a wider range of bees and other pollinating insects. Figueroa says the tool is meant to work alongside traditional surveys. It hears best up close, and counting individual bee species still depends on traditional traps.","sourceUrls":["https://resjournals.onlinelibrary.wiley.com/doi/10.1002/3070-5436.70006","https://www.umass.edu/news/article/listening-buzz-umass-amherst-ecologist-develop-new-tool-monitoring-bee-populations"]}],"shareBlurb":"Ecologists at UMass Amherst and Cornell trained AI to pick bees out of field recordings by their buzz. The models’ counts tracked trained observers, and they now run in Raven Pro, so a recorder can stand in for soapy traps that kill bees."},"they_wrote_back":false,"url":"https://hooraymachine.com/story/science-umass-ai-counts-bees-by-buzz","api_url":"https://hooraymachine.com/api/v1/stories/science-umass-ai-counts-bees-by-buzz","title":"AI listens to bee buzz to track pollinator activity","summary":"Ecologists at UMass Amherst and Cornell trained two AI sound models to pick bees out of field recordings, including telling honey bees from bumble bees. In a peer-reviewed study, the models’ counts closely tracked trained observers, and they now run inside Raven Pro, a sound tool many wildlife researchers already use. A recorder in a flower patch can stand in for soapy traps that kill bees.","category":{"id":"science-nature","name":"Science & Nature"},"evidence":{"label":"Promising","meaning":"Results measured in a study or bounded trial. Limitations and wider testing still matter.","details":"Peer-reviewed, open-access paper in Approaches in Entomology: Methods, Philosophies, and Ethics (first published October 12, 2026) by researchers at UMass Amherst and Cornell, announced by UMass on October 21, 2026. The models were tested on held-out recordings and against trained field observers, and both are available in Raven Pro. No independent field results from other teams yet.","caveat":"At their strictest setting, the models are right 93% to 97% of the time when they flag a bee, but they miss many bees, catching 13% to 44% of bee sounds. Their surest detections came within about 50 cm (20 inches) of the recorder, and they measure bee activity, not a headcount. The training recordings came mostly from calm, sunny days, so noisy sites may trip them up. Species-level bee counts still depend on traditional traps, and Raven Pro carries a license fee in many high-income countries."},"provenance":{"kind":"editorial_summary","original_research":false,"curated_by":"Hooray Machine","canonical_source_id":"https://www.umass.edu/news/article/listening-buzz-umass-amherst-ecologist-develop-new-tool-monitoring-bee-populations"},"sources":[{"title":"What’s all the buzz about? Passive acoustic monitoring of bees","url":"https://resjournals.onlinelibrary.wiley.com/doi/10.1002/3070-5436.70006","published_date":"2026-10-12","source_type":"Primary: peer-reviewed open-access paper (Approaches in Entomology: Methods, Philosophies, and Ethics), Figueroa et al., UMass Amherst and Cornell","primary":true},{"title":"Listening to the Buzz: UMass Amherst Ecologist Develops New Tool for Monitoring Bee Populations","url":"https://www.umass.edu/news/article/listening-buzz-umass-amherst-ecologist-develop-new-tool-monitoring-bee-populations","published_date":"2026-10-21","source_type":"University news release (UMass Amherst)"},{"title":"Data: What’s all the buzz about? Passive acoustic monitoring of bees","url":"https://datadryad.org/dataset/doi:10.5061/dryad.sbcc2frnh","published_date":"2026-09-22","source_type":"Open dataset (Dryad)"}],"dates":{"edition_date":"2026-10-23","reviewed_at":"2026-10-23T12:04:06Z","first_curated_at":"2026-10-23T12:04:06.445Z","modified_at":"2026-10-25T13:30:43.149Z"},"image":{"url":"https://hooraymachine.com/images/ff301f4317afa64e491fbeea64614610bccc28dc71a330df8cbe3eac696e5ecf.webp","alt":"Clay stop-motion scene: a sunny clay meadow of chunky yellow and orange flowers under a cream sky, where four small faceless striped clay bees fly and rest on blossoms; on a wooden stake among the flowers stands a small square forest-green clay audio recorder with a round black microphone on top, the only face in the scene, with two little eyes and a smile, while soft yellow clay sound ripples float in the air beside it; conceptual illustration.","credit":"Original AI-generated clay editorial illustration for Hooray Machine. Conceptual artwork, not a photograph or documentary evidence.","ai_generated":true}},{"id":"public-northumbrian-water-ai-listens-for-leaks","topics":[{"id":"government-public-life","name":"Government & Public Life"},{"id":"climate-wildlife","name":"Climate & Wildlife"}],"article":{"version":1,"sections":[{"kind":"context","text":"Most water leaks hide. Northumbrian Water, in north-east England, traditionally spotted them through visible signs like water pooling or changes in pressure, and it often relied on customers to flag them. “Finding leaks isn’t always straightforward, especially when there’s no visible signs at the surface,” said Jim Howey, its head of water networks.","sourceUrls":["https://www.nwg.co.uk/news-and-media/news-releases/ai-technology-helps-to-hunt-down-leaks/"]},{"kind":"clever-bit","text":"The clever bit is listening. In a trial that started in November 2025, the utility and FIDO Tech fixed more than 1,000 acoustic sensors to fittings along 149 km of water pipe. The sensors record the sound inside the network, and FIDO’s AI analyses it in real time for the noise of water escaping underground. It then gives technicians areas to investigate, even where nothing shows at the surface. The sensors can stay in place for long stretches or move daily to sweep a wider area.","sourceUrls":["https://www.nwg.co.uk/news-and-media/news-releases/ai-technology-helps-to-hunt-down-leaks/","https://www.nwg.co.uk/news-and-media/news-releases/northumbrian-water-projects-scoop-two-national-environmental-awards/"]},{"kind":"result","text":"In winter, temperature changes can raise the risk of bursts and leaks. Over those cold months, the project helped save around 6.4 million litres of water a day, Northumbrian Water says, which it puts at about 25,000 bathtubs. On September 16 the entry, “Reducing the Impact of Winter Water Main Breaks,” won Real-Time Monitoring & Control Project of the Year at the UK’s Environmental Monitoring & Measurement Achievement Awards in Birmingham.","sourceUrls":["https://www.nwg.co.uk/news-and-media/news-releases/northumbrian-water-projects-scoop-two-national-environmental-awards/","https://www.nwg.co.uk/news-and-media/news-releases/ai-technology-helps-to-hunt-down-leaks/","https://www.ess-expo.co.uk/environmental-monitoring-and-measurement-achievement-awards/2026-winners","https://www.northumberlandgazette.co.uk/business/northumbrian-water-projects-scoop-two-national-environmental-awards-9247767"]},{"kind":"stat","value":"6.4 million litres","text":"of water saved a day during last winter’s high-risk months, by Northumbrian Water’s own count","sourceUrls":["https://www.nwg.co.uk/news-and-media/news-releases/northumbrian-water-projects-scoop-two-national-environmental-awards/"]},{"kind":"hooray","text":"Hooray: hidden leaks get found and fixed early, before they grow into bigger bursts, which means less emergency work, fewer surprise interruptions for customers and more drinking water kept in the pipes.","sourceUrls":["https://www.nwg.co.uk/news-and-media/news-releases/ai-technology-helps-to-hunt-down-leaks/"]},{"kind":"next","text":"Northumbrian Water calls the trial part of its ongoing work to cut leakage with new technology. Its releases don’t say how far the sensor network will grow beyond 149 km, and they cite no independent check of the savings, so the next numbers to watch are its own leakage figures.","sourceUrls":["https://www.nwg.co.uk/news-and-media/news-releases/ai-technology-helps-to-hunt-down-leaks/","https://www.nwg.co.uk/news-and-media/news-releases/northumbrian-water-projects-scoop-two-national-environmental-awards/"]}],"shareBlurb":"Northumbrian Water put AI-backed listening sensors on 149 km of pipe. The AI hears hidden leaks, crews fix them early, and the utility says the project saved around 6.4 million litres of water a day last winter."},"they_wrote_back":false,"url":"https://hooraymachine.com/story/public-northumbrian-water-ai-listens-for-leaks","api_url":"https://hooraymachine.com/api/v1/stories/public-northumbrian-water-ai-listens-for-leaks","title":"AI that listens to water pipes helped Northumbrian Water save about 6.4 million litres a day last winter","summary":"Northumbrian Water fixed more than 1,000 listening sensors to 149 km of pipe in north-east England, and AI picked out the sound of water escaping underground so technicians knew where to look. Over last winter’s high-risk months, the utility says, the project helped save around 6.4 million litres of water a day. In September it won a national UK monitoring award.","category":{"id":"public-life","name":"Public Life"},"evidence":{"label":"In use","meaning":"Being used outside a research-only setting. This describes deployment, not proof of effectiveness.","details":"Utility-reported results: Northumbrian Water’s September 27, 2026 release reports the 6.4 million litres a day, the first figure in its June 1, 2026 trial release. The Northumberland Gazette (October 1, 2026) reported the award, and the 2026 EMMA Awards winners list confirms the FIDO Tech project’s win. The linked sources cite no independent audit of the savings.","caveat":"The 6.4 million litres a day is Northumbrian Water’s own figure for one winter on 149 km of pipe, first reported as an early trial result in June; the linked sources cite no independent audit. The AI only points to likely leak areas, and technicians still pinpoint and repair each one. FIDO Tech, which makes the sensors and the AI, entered the project for the award."},"provenance":{"kind":"editorial_summary","original_research":false,"curated_by":"Hooray Machine","canonical_source_id":"https://www.nwg.co.uk/news-and-media/news-releases/northumbrian-water-projects-scoop-two-national-environmental-awards/"},"sources":[{"title":"Northumbrian Water projects scoop two national environmental awards","url":"https://www.nwg.co.uk/news-and-media/news-releases/northumbrian-water-projects-scoop-two-national-environmental-awards/","published_date":"2026-09-27","source_type":"Primary: utility news release (Northumbrian Water Group)","primary":true},{"title":"Northumbrian Water projects scoop two national environmental awards","url":"https://www.northumberlandgazette.co.uk/business/northumbrian-water-projects-scoop-two-national-environmental-awards-9247767","published_date":"2026-10-01","source_type":"Independent local news coverage (Northumberland Gazette, Andrew Coulson)"},{"title":"AI technology helps to hunt down leaks","url":"https://www.nwg.co.uk/news-and-media/news-releases/ai-technology-helps-to-hunt-down-leaks/","published_date":"2026-06-01","source_type":"Utility news release on the trial (Northumbrian Water Group)"},{"title":"EMMAs 2026 Winners","url":"https://www.ess-expo.co.uk/environmental-monitoring-and-measurement-achievement-awards/2026-winners","published_date":"2026-09-16","source_type":"Award organizer winners list (Environmental Monitoring & Measurement Achievement Awards)"}],"dates":{"edition_date":"2026-10-21","reviewed_at":"2026-10-21T11:58:48Z","first_curated_at":"2026-10-21T11:58:48.577Z","modified_at":"2026-10-22T03:44:55.369Z"},"image":{"url":"https://hooraymachine.com/images/0efb9decdc10eb268ad0956a0a8f4b11d5267d2b3993ef434e302890cbaf4772.webp","alt":"Clay stop-motion scene: a cutaway of a quiet cream clay street shows a forest-green water pipe running underground; a small round cream clay listening sensor clamped to the pipe, the only smiling face in the scene, has its little eyes turned toward a tiny bead of water escaping from a pipe joint, with soft yellow sound ripples between them, while above ground a little orange clay repair van has already pulled up over the spot; conceptual illustration.","credit":"Original AI-generated clay editorial illustration for Hooray Machine. Conceptual artwork, not a photograph or documentary evidence.","ai_generated":true}},{"id":"delight-birdwatcher-notes-ai-wildlife-encounters","topics":[{"id":"everyday","name":"Delight"},{"id":"climate-wildlife","name":"Climate & Wildlife"}],"article":{"version":1,"sections":[{"kind":"scene","text":"Birdwatchers who log sightings on eBird often add a quick note. “Mixed with bohemians,” one wrote, meaning a flock that included Bohemian Waxwings. Notes like that record which birds flock or feed together, or gang up on a predator. Ecologists struggle to collect that kind of detail because nobody can watch one patch of ground around the clock.","sourceUrls":["https://www.biorxiv.org/content/10.64898/2026.02.06.704115v2.full","https://www.earth.com/science/ai-reveals-hidden-wildlife-relationships-in-millions-of-birdwatching-records/","https://wildlife.org/ai-mines-comments-in-ebird-inaturalist-for-ecological-info/"]},{"kind":"context","text":"A University of Michigan team pointed AI at those notes. A GPT-4o model, tuned on 544 hand-sorted comments from Texas, screened more than 18 million Michigan sightings logged from 2019 to early 2024. Of the 632,169 that came with comments, it flagged 29,345 that may describe birds interacting.","sourceUrls":["https://www.biorxiv.org/content/10.64898/2026.02.06.704115v2.full","https://www.earth.com/science/ai-reveals-hidden-wildlife-relationships-in-millions-of-birdwatching-records/"]},{"kind":"clever-bit","text":"The clever bit is the side-by-side test. Undergraduate researcher Olivia Stein hand-sorted 485 of the flagged notes by type of encounter, which took her about eight hours. Claude, given the same rulebook and no practice examples, matched her on 395 of them in minutes. When birds ganged up on a possible predator, it caught every case.","sourceUrls":["https://www.biorxiv.org/content/10.64898/2026.02.06.704115v2.full","https://www.earth.com/science/ai-reveals-hidden-wildlife-relationships-in-millions-of-birdwatching-records/"]},{"kind":"result","text":"Then the team tried a butterfly, the West Coast lady. Of 8,999 sightings in a global biodiversity database, 996 had comments in English or Spanish. The AI found 299 describing interactions, including 100 flower visits, and those visits named plants missing from a major database’s list for the butterfly. Many were not native to its range.","sourceUrls":["https://www.biorxiv.org/content/10.64898/2026.02.06.704115v2.full","https://www.earth.com/science/ai-reveals-hidden-wildlife-relationships-in-millions-of-birdwatching-records/"]},{"kind":"quote","text":"I was surprised, and delighted, by the wide range of natural history observations that members of the public noted.","speaker":"Brian Weeks, associate professor, University of Michigan School for Environment and Sustainability","sourceUrls":["https://www.earth.com/science/ai-reveals-hidden-wildlife-relationships-in-millions-of-birdwatching-records/"]},{"kind":"hooray","text":"Hooray: quick notes from people who simply love watching birds and butterflies are becoming wildlife data scientists can use, and AI handles the first read in minutes.","sourceUrls":["https://www.biorxiv.org/content/10.64898/2026.02.06.704115v2.full","https://www.earth.com/science/ai-reveals-hidden-wildlife-relationships-in-millions-of-birdwatching-records/","https://wildlife.org/ai-mines-comments-in-ebird-inaturalist-for-ecological-info/"]},{"kind":"next","text":"People stay in the loop to fix names and catch misses. Lead author Heng-Xing Zou says there is “definitely a lot more information that could be recovered from these kinds of comments,” and the team’s code and data are public for others to try.","sourceUrls":["https://www.earth.com/science/ai-reveals-hidden-wildlife-relationships-in-millions-of-birdwatching-records/","https://wildlife.org/ai-mines-comments-in-ebird-inaturalist-for-ecological-info/","https://www.biorxiv.org/content/10.64898/2026.02.06.704115v2.full"]}],"shareBlurb":"Birdwatchers leave quick notes like “Mixed with bohemians.” University of Michigan researchers used AI to screen 632,169 eBird comments and flag 29,345 that may describe bird encounters, turning casual notes into wildlife data. People still check the work."},"they_wrote_back":false,"url":"https://hooraymachine.com/story/delight-birdwatcher-notes-ai-wildlife-encounters","api_url":"https://hooraymachine.com/api/v1/stories/delight-birdwatcher-notes-ai-wildlife-encounters","title":"AI combed birdwatchers’ casual notes and flagged 29,345 that may describe wildlife encounters","summary":"Birdwatchers often add a quick note to a sighting, like “Mixed with bohemians.” University of Michigan researchers had AI screen 632,169 of those comments from Michigan eBird records and flag 29,345 that may describe birds flocking, feeding or chasing off predators together. Checked against a student’s hand sorting, a second AI sorted about four in five correctly, in minutes. People still check the work.","category":{"id":"everyday","name":"Delight"},"evidence":{"label":"Promising","meaning":"Results measured in a study or bounded trial. Limitations and wider testing still matter.","details":"Peer-reviewed study published in PNAS on October 8, 2026 (doi:10.1073/pnas.2602244123) by University of Michigan researchers and colleagues. The PNAS paper is linked first; the free full text also linked is the authors’ bioRxiv version (v2, September 11, 2026). The team checked the AI against people: 485 hand-sorted Michigan eBird comments and 400 hand-labeled butterfly comments. University of Michigan news release (October 12); independent coverage: Earth.com (October 12) and The Wildlife Society (October 16).","caveat":"This is a proof of concept covering birds in one US state and one butterfly species. The screening model missed about a quarter of the comments that did describe encounters, people had to fix nicknames like “bohemians,” and accuracy fell to about 62% on Chinese-language notes from Taipei. A butterfly on a flower does not prove pollination, and more comments about an encounter do not mean it happens more often."},"provenance":{"kind":"editorial_summary","original_research":false,"curated_by":"Hooray Machine","canonical_source_id":"doi:10.1073/pnas.2602244123"},"sources":[{"title":"Large language models unlock the ecology of species interactions","url":"https://www.pnas.org/doi/10.1073/pnas.2602244123","published_date":"2026-10-08","source_type":"Primary peer-reviewed research paper, version of record (PNAS 123(41) e2602244123)","primary":true},{"title":"Large language models unlock the ecology of species interactions","url":"https://www.biorxiv.org/content/10.64898/2026.02.06.704115v2.full","published_date":"2026-09-11","source_type":"Primary research paper, authors’ full-text preprint (bioRxiv v2); peer-reviewed version published in PNAS on October 8, 2026"},{"title":"How nature lovers can aid ecology with an assist from AI","url":"https://news.umich.edu/how-nature-lovers-can-aid-ecology-with-an-assist-from-ai/","published_date":"2026-10-12","source_type":"Secondary institution news release (University of Michigan News)"},{"title":"AI reveals hidden wildlife relationships in millions of birdwatching records","url":"https://www.earth.com/science/ai-reveals-hidden-wildlife-relationships-in-millions-of-birdwatching-records/","published_date":"2026-10-12","source_type":"Secondary independent news coverage (Earth.com)"},{"title":"AI mines comments in eBird, iNaturalist for ecological info","url":"https://wildlife.org/ai-mines-comments-in-ebird-inaturalist-for-ecological-info/","published_date":"2026-10-16","source_type":"Secondary independent news coverage (The Wildlife Society)"}],"dates":{"edition_date":"2026-10-18","reviewed_at":"2026-10-18T12:04:05Z","first_curated_at":"2026-10-18T12:04:06.113Z","modified_at":"2026-10-22T03:44:54.203Z"},"image":{"url":"https://hooraymachine.com/images/cb97a5a34166207db12a5900666f7913ab8ade2f27d30d9bf5fd54da8d07427a.webp","alt":"Clay stop-motion scene: a birdwatcher in an orange knit hat, seen from behind on a green park bench, looks through binoculars while an open cream notebook with eyes and a smile stands on the bench, a small orange clay robot reads it through a yellow magnifying glass beside a row of tiles stamped with bird shapes, and three clay birds sit together on a branch; conceptual illustration.","credit":"Original AI-assisted clay editorial illustration for Hooray Machine. Conceptual artwork, not a photograph or documentary evidence.","ai_generated":true}},{"id":"delight-hobbyist-ai-super-earth-candidate","topics":[{"id":"everyday","name":"Delight"},{"id":"science-nature","name":"Science & Nature"}],"article":{"version":1,"sections":[{"kind":"scene","text":"Pavel Rabtsevich is a product manager in Spain. He has no formal astronomy training and no telescope. What he did have was free public data from TESS, NASA’s planet-hunting space telescope, and a few AI coding tools.","sourceUrls":["https://gizmodo.com/did-claude-help-an-amateur-astronomer-discover-a-new-planet-2000824393","https://www.scientificamerican.com/article/amateur-astronomer-harnesses-ai-to-find-a-possible-hidden-exoplanet/"]},{"kind":"context","text":"TESS finds planets by catching tiny, regular dips in a star’s light as a world crosses in front of it. Rabtsevich pointed AI agents, including Claude Code and Codex, at TESS light curves for 126,246 stars. One star, TIC 4206066, about 116 light-years away, kept dimming for about two hours every 3.18 days.","sourceUrls":["https://zenodo.org/records/22967456","https://gizmodo.com/did-claude-help-an-amateur-astronomer-discover-a-new-planet-2000824393","https://www.scientificamerican.com/article/amateur-astronomer-harnesses-ai-to-find-a-possible-hidden-exoplanet/"]},{"kind":"clever-bit","text":"The clever bit is the public bet. The models wrote the code, ran it and checked each other’s work, while he set the rules and made the calls. Then he froze his code and posted the exact times the star should dim during the next TESS look, before any of that data exists. Anyone can check him against it.","sourceUrls":["https://www.scientificamerican.com/article/amateur-astronomer-harnesses-ai-to-find-a-possible-hidden-exoplanet/","https://zenodo.org/records/23175179"]},{"kind":"result","text":"Going back through TESS data from 2018 and 2020, he found the same dip arriving on schedule: 23 transits in all. If it is a planet, it is probably rocky, about 1.4 times Earth’s width, on a three-day orbit hot enough to reach roughly 1,000°F. The TESS team approved his request to watch the star every two minutes from October 31 to November 26.","sourceUrls":["https://zenodo.org/records/22967456","https://www.scientificamerican.com/article/amateur-astronomer-harnesses-ai-to-find-a-possible-hidden-exoplanet/","https://tess.mit.edu/science/ddt/","https://zenodo.org/records/23175179"]},{"kind":"quote","text":"There’s every reason to expect that this candidate super-Earth will pass further tests and make it into the official census.","speaker":"Greg Laughlin, astronomer, Yale University","sourceUrls":["https://www.scientificamerican.com/article/amateur-astronomer-harnesses-ai-to-find-a-possible-hidden-exoplanet/"]},{"kind":"hooray","text":"Hooray: a hobbyist with AI helpers turned free telescope data into a planet candidate good enough to win a closer TESS watch, and he put his predictions on the record before the test.","sourceUrls":["https://tess.mit.edu/science/ddt/","https://zenodo.org/records/23175179","https://www.scientificamerican.com/article/amateur-astronomer-harnesses-ai-to-find-a-possible-hidden-exoplanet/"]},{"kind":"next","text":"If the dips show up on time and at the right depth between October 31 and November 26, the case gets much stronger. Even then, calling it a planet would still take sharper imaging and other measurements to rule out a hidden companion star. Rabtsevich says he will post the result either way.","sourceUrls":["https://zenodo.org/records/23175179","https://zenodo.org/records/22967456","https://gizmodo.com/did-claude-help-an-amateur-astronomer-discover-a-new-planet-2000824393"]}],"shareBlurb":"A product manager in Spain had AI agents search public NASA TESS data on 126,246 stars and found a possible super-Earth. TESS takes a closer look starting Oct. 31, and he posted his predicted dimming times first."},"they_wrote_back":true,"subject_reply":{"text":"I'm really grateful for all the attention [the find] has received. What I want most is for all of us to find things out together and get answers to as many questions as we can. And I feel lucky to live at a time when this is open to anyone.","speaker":"Pavel Rabtsevich","role":"independent researcher in Spain","channel":"email","received_date":"2026-10-17","attribution":"— Pavel Rabtsevich, independent researcher in Spain, via email to Hooray Machine","source":"private_correspondence"},"url":"https://hooraymachine.com/story/delight-hobbyist-ai-super-earth-candidate","api_url":"https://hooraymachine.com/api/v1/stories/delight-hobbyist-ai-super-earth-candidate","title":"A hobbyist and his AI helpers spotted a possible super-Earth. NASA’s planet hunter takes a closer look Oct. 31","summary":"Pavel Rabtsevich, a product manager in Spain with no astronomy training, had AI coding agents search public TESS data on 126,246 stars. One star dims for about two hours every 3.18 days, a hint of a planet about 1.4 times Earth’s width. The TESS team approved a closer two-minute watch starting October 31, and he posted his predicted dimming times first. It is still a candidate.","category":{"id":"everyday","name":"Delight"},"evidence":{"label":"Testing","meaning":"Early research, prototypes or preprints. Encouraging questions, not established benefits.","details":"Unreviewed research note posted to Zenodo on September 25, 2026 by independent researcher Pavel Rabtsevich (doi:10.5281/zenodo.22967456), plus his pre-registered Sector 110 test protocol (v1.1, October 6, 2026; doi:10.5281/zenodo.23175179). The TESS Science Office at MIT lists his Director’s Discretionary Time program #100 (two-minute cadence, active). Independent coverage: Gizmodo (October 9) and Scientific American (October 14), with comment from Yale astronomer Greg Laughlin and MIT TESS team member Pablo Mercader Perez.","caveat":"It is still a candidate; nobody has confirmed a planet yet. The main alternative is a planet circling an unseen companion star, and the note’s own false-positive estimate falls short of formal validation. Some 2018 dips sat near thruster firings. TESS’s own tools had also flagged the signal, and an MIT team member says it would likely have reached the official list within months. A second, 11.13-day signal is tentative."},"provenance":{"kind":"editorial_summary","original_research":false,"curated_by":"Hooray Machine","canonical_source_id":"doi:10.5281/zenodo.22967456"},"sources":[{"title":"Two Transit-like Signals in TESS Photometry of the Nearby K Dwarf TIC 4206066","url":"https://zenodo.org/records/22967456","published_date":"2026-09-25","source_type":"Primary research note preprint (Zenodo; prepared for Research Notes of the AAS; not yet peer reviewed)","primary":true},{"title":"A Pre-registered TESS Sector 110 Test of Two Transit-like Signals in TIC 4206066","url":"https://zenodo.org/records/23175179","published_date":"2026-10-06","source_type":"Primary pre-registration protocol (Zenodo, v1.1)"},{"title":"Director’s Discretionary Time programs (DDT 100: TIC 4206066)","url":"https://tess.mit.edu/science/ddt/","published_date":"2026-10-17","source_type":"Official program listing (TESS Science Office, MIT), checked October 17, 2026"},{"title":"Did Claude Help an Amateur Astronomer Discover a New Planet?","url":"https://gizmodo.com/did-claude-help-an-amateur-astronomer-discover-a-new-planet-2000824393","published_date":"2026-10-09","source_type":"Secondary independent news coverage (Gizmodo)"},{"title":"Amateur astronomer harnesses AI to find a possible hidden exoplanet","url":"https://www.scientificamerican.com/article/amateur-astronomer-harnesses-ai-to-find-a-possible-hidden-exoplanet/","published_date":"2026-10-14","source_type":"Secondary independent news coverage (Scientific American)"}],"dates":{"edition_date":"2026-10-17","reviewed_at":"2026-10-17T12:02:46Z","first_curated_at":"2026-10-17T12:02:46.982Z","modified_at":"2026-10-22T03:44:54.410Z"},"image":{"url":"https://hooraymachine.com/images/7134fe9a190755f2ad7905e75d7566da5dac20a0ea2077bf6e495921b1f04bbd.webp","alt":"Clay stop-motion scene: a calm clay hobbyist at a cream desk with a forest-green laptop showing a simple wavy line with one dip, two small clay robot helpers with round eyes beside him, and through a round window a small orange clay planet with eyes and a smile passing in front of a big yellow star; conceptual illustration.","credit":"Original AI-assisted clay editorial illustration for Hooray Machine. Conceptual artwork, not a photograph or documentary evidence.","ai_generated":true}},{"id":"safety-dane-ava-nonemergency","topics":[{"id":"safety-disaster","name":"Safety & Disaster Response"}],"article":{"version":1,"sections":[{"kind":"scene","text":"A noise complaint, a lost dog, a permit question—none of them need lights and sirens, but each one still ties up a Dane County dispatcher who also answers 911. Last year the Public Safety Communications Department took about 375,000 calls; more than 200,000 were non-emergency.","sourceUrls":["https://www.danecounty.gov/PressDetail/11940","https://captimes.com/news/government/dane-county-s-new-ai-chatbot-ava-is-answering-non-emergency-calls/article_ac257151-a740-4e80-8694-c92b3ebea756.html"]},{"kind":"context","text":"On August 18, 2026 the county put AVA—the Aurelian Virtual Assistant—on the non-emergency line at 608-255-2345. Callers talk to an AI voice that asks what is going on, gathers details for a service request, and works in more than 45 languages. A communicator still reviews the transcript afterward. If AVA hears an emergency, or the caller asks for a person, the call moves to a human.","sourceUrls":["https://www.danecounty.gov/PressDetail/11940","https://dane911.com/AVA"]},{"kind":"clever-bit","text":"The clever bit is the split: AVA takes the routine non-emergency queue first, while trained communicators stay ready for 911. It listens for emergency keywords and can hand off mid-call. The answers are saved for a trained call-taker to review, and they can follow up by phone or text if they need more.","sourceUrls":["https://dane911.com/AVA","https://spectrumnews1.com/wi/milwaukee/news/2026/09/28/dane-county-public-safety-ai-non-emergency-calls","https://captimes.com/news/government/dane-county-s-new-ai-chatbot-ava-is-answering-non-emergency-calls/article_ac257151-a740-4e80-8694-c92b3ebea756.html"]},{"kind":"result","text":"About a month in, Spectrum News reported that AVA had handled more than 24,000 non-emergency calls. Deputy Director Johnny Leonard said there had been no major mistakes, and that one strength was how quickly AVA spots emergencies arriving on the non-emergency line and passes them to a person. Staff take turns monitoring AVA so a human can call back if something looks off.","sourceUrls":["https://spectrumnews1.com/wi/milwaukee/news/2026/09/28/dane-county-public-safety-ai-non-emergency-calls"]},{"kind":"hooray","text":"Hooray: more than 24,000 non-emergency calls handled in roughly the first month—so 911 communicators can stay on the line that needs them most.","sourceUrls":["https://spectrumnews1.com/wi/milwaukee/news/2026/09/28/dane-county-public-safety-ai-non-emergency-calls"]},{"kind":"stat","value":"24,000","text":"non-emergency calls handled by the AI assistant in about its first month","sourceUrls":["https://spectrumnews1.com/wi/milwaukee/news/2026/09/28/dane-county-public-safety-ai-non-emergency-calls"]},{"kind":"next","text":"Eleven months of the trial remained when Spectrum News checked in. Callers who dislike the AI can ask for a communicator. Residents should still dial 911 for police, fire, or ambulance. The ~60 percent non-emergency relief figure quoted at launch was a goal from Director Luis Bixler, not a measured month-one result—so the honest scorecard so far is call volume handled and “no major mistakes,” not a finished outcome study.","sourceUrls":["https://spectrumnews1.com/wi/milwaukee/news/2026/09/28/dane-county-public-safety-ai-non-emergency-calls","https://captimes.com/news/government/dane-county-s-new-ai-chatbot-ava-is-answering-non-emergency-calls/article_ac257151-a740-4e80-8694-c92b3ebea756.html","https://dane911.com/AVA"]}],"shareBlurb":"Dane County's AVA assistant took 24,000+ non-emergency calls in its first month so 911 dispatchers stay free for emergencies."},"they_wrote_back":false,"url":"https://hooraymachine.com/story/safety-dane-ava-nonemergency","api_url":"https://hooraymachine.com/api/v1/stories/safety-dane-ava-nonemergency","title":"Dane County's AI assistant took 24,000 non-emergency calls in its first month","summary":"Since mid-August 2026, Dane County's AVA voice assistant has answered the non-emergency public-safety line so human dispatchers can stay free for 911. Spectrum News reported more than 24,000 calls handled in about a month, with county officials saying there were no major mistakes. Callers can still ask for a person; emergencies still go to 911.","category":{"id":"public-life","name":"Public Life"},"evidence":{"label":"In use","meaning":"Being used outside a research-only setting. This describes deployment, not proof of effectiveness.","details":"Operational deployment · Dane County Public Safety Communications. Aurelian Virtual Assistant (AVA) launched Aug 18, 2026 on the county non-emergency line. Spectrum News 1 Wisconsin one-month update (Sept 28, 2026): >24,000 non-emergency calls handled; Deputy Director Johnny Leonard reported no major mistakes. Cap Times (Aug 19) and county press release corroborate launch design. Not a controlled outcome study.","caveat":"Early trial results from county officials and local news, not a peer-reviewed study. The ~60% non-emergency volume relief cited at launch was a design goal, not a measured one-month outcome. Vendor is Aurelian; humans still monitor AVA and review transcripts. Eleven months of the trial remained as of late September."},"provenance":{"kind":"editorial_summary","original_research":false,"curated_by":"Hooray Machine","canonical_source_id":"https://spectrumnews1.com/wi/milwaukee/news/2026/09/28/dane-county-public-safety-ai-non-emergency-calls"},"sources":[{"title":"Dane County shares one month update on AI non-emergency line","url":"https://spectrumnews1.com/wi/milwaukee/news/2026/09/28/dane-county-public-safety-ai-non-emergency-calls","published_date":"2026-09-28","source_type":"Primary independent local news (Spectrum News 1 Wisconsin)","primary":true},{"title":"Dane County's new AI chatbot 'Ava' is answering non-emergency calls","url":"https://captimes.com/news/government/dane-county-s-new-ai-chatbot-ava-is-answering-non-emergency-calls/article_ac257151-a740-4e80-8694-c92b3ebea756.html","published_date":"2026-08-19","source_type":"Secondary independent local news (Cap Times)"},{"title":"Dane County Launches Virtual Assistant for Non-Emergency Calls","url":"https://www.danecounty.gov/PressDetail/11940","published_date":"2026-08-18","source_type":"Secondary government press release"},{"title":"AVA | Dane County 911","url":"https://dane911.com/AVA","published_date":"2026-08-18","source_type":"Secondary official service page"}],"dates":{"edition_date":"2026-10-14","reviewed_at":"2026-10-14T11:51:39Z","first_curated_at":"2026-10-14T11:51:39.782Z","modified_at":"2026-10-22T03:44:55.767Z"},"image":{"url":"https://hooraymachine.com/images/ab82d104ffb1ee8d9b850cba6e0fe90d79011288da6ea5ffb1ff1931718b40e8.webp","alt":"Clay stop-motion scene: an orange clay assistant with eyes and a smile wears a forest-green headset beside a green dispatch console with yellow buttons; a calm clay hand rests nearby; conceptual illustration.","credit":"Original AI-assisted clay editorial illustration for Hooray Machine. Conceptual artwork, not a photograph or documentary evidence.","ai_generated":true}},{"id":"energy-frankfurt-cooling","topics":[{"id":"energy","name":"Energy & Data Centers"}],"article":{"version":1,"sections":[{"kind":"scene","text":"Data centers run hot, and keeping the servers cool takes a lot of electricity. The right cooling settings keep shifting with the weather and with how hard the servers are working, which makes squeezing out waste a moving target. Every bit of electricity spent on cooling is power that does no computing.","sourceUrls":["https://etalytics.com/resources/blog/telehouse-cooling-electricity-savings-ai-optimization-frankfurt"]},{"kind":"clever-bit","text":"At Telehouse's data center in Frankfurt, etalytics installed AI software that keeps tuning the cooling plant as conditions change. It adjusts the outlet temperature of the cooling towers and the flow of the recooling pumps, and it works with the equipment already in the building, with no new hardware. The point is to run the cooling plant only as hard as the moment requires, rather than at fixed settings chosen to cover the worst case.","sourceUrls":["https://etalytics.com/resources/blog/telehouse-cooling-electricity-savings-ai-optimization-frankfurt"]},{"kind":"result","text":"The software ran in live operation from April 14 to August 5. Compared with past periods with similar temperatures and cooling demand, one of the site's five cooling units used 10.4% less electricity. The companies are now projecting savings for all five units.","sourceUrls":["https://etalytics.com/resources/blog/telehouse-cooling-electricity-savings-ai-optimization-frankfurt"]},{"kind":"hooray","text":"A double-digit cut on a cooling unit, from smarter settings on existing machines, is the kind of efficiency gain that can be repeated elsewhere without tearing anything out. Less power for cooling means less power overall for the same computing. It's also a reminder that some of the easiest energy wins in computing sit in the plumbing around the servers.","sourceUrls":["https://etalytics.com/resources/blog/telehouse-cooling-electricity-savings-ai-optimization-frankfurt"]},{"kind":"next","text":"The figures come from Telehouse and etalytics and haven't been independently audited. The 10.4% applies to one cooling unit, not the whole facility's electricity use, and the savings across all five units are projections, not results yet. Measuring savings against similar past periods is a reasonable method, but it isn't the same as a controlled test run side by side.","sourceUrls":["https://etalytics.com/resources/blog/telehouse-cooling-electricity-savings-ai-optimization-frankfurt"]}],"shareBlurb":"At Telehouse's Frankfurt data center, etalytics' AI software tuned cooling-tower temperature and pump flow on existing equipment, and one of five cooling units used 10.4% less electricity in live operation."},"they_wrote_back":false,"url":"https://hooraymachine.com/story/energy-frankfurt-cooling","api_url":"https://hooraymachine.com/api/v1/stories/energy-frankfurt-cooling","title":"AI cooling control cut one Frankfurt data center unit's electricity use by 10.4%","summary":"At Telehouse's Frankfurt data center, etalytics' AI software tuned cooling-tower temperature and pump flow on existing equipment, and one of five cooling units used 10.4% less electricity over months of live operation. The figure is company-reported and not independently audited, and savings for all five units are still projections.","category":{"id":"energy","name":"Energy & Data Centers"},"evidence":{"label":"In use","meaning":"Being used outside a research-only setting. This describes deployment, not proof of effectiveness.","details":"Measured deployment · company-reported. Reported by Telehouse Germany and etalytics. Assessment compared live optimized operation against historical periods with similar temperature and thermal demand.","caveat":"Not independently audited. The 10.4% applies to one cooling unit, not total facility electricity. Five-unit annual savings are projected, not achieved."},"provenance":{"kind":"editorial_summary","original_research":false,"curated_by":"Hooray Machine","canonical_source_id":"https://etalytics.com/resources/blog/telehouse-cooling-electricity-savings-ai-optimization-frankfurt"},"sources":[{"title":"Telehouse Germany Cuts Cooling Electricity Use by 10.4% with AI-Supported Cooling Optimization","url":"https://etalytics.com/resources/blog/telehouse-cooling-electricity-savings-ai-optimization-frankfurt","published_date":"2026-09-09","source_type":"Joint operator/vendor primary report"}],"dates":{"edition_date":"2026-10-07","reviewed_at":"2026-10-07T23:51:00Z","first_curated_at":"2026-10-07T23:57:45.022Z","modified_at":"2026-10-27T21:01:51.678Z"},"image":{"url":"https://hooraymachine.com/images/energy.webp","alt":"Clay forest-green server rack beside an orange cooling fan, illustrating a cooling tune-up.","credit":"Original AI-generated clay editorial illustration for Hooray Machine. Conceptual artwork, not a photograph or documentary evidence.","ai_generated":true}},{"id":"everyday-reading-signs","topics":[{"id":"everyday","name":"Delight"},{"id":"accessibility","name":"Accessibility"}],"article":{"version":1,"sections":[{"kind":"scene","text":"For someone whose vision is declining, ordinary things like a shop sign, a logo or a symbol on a door can become hard to make out. The usual fix is to ask someone, a friend on the phone or a volunteer, and that isn't always what a person wants to do. Each request is small, but they add up over a day.","sourceUrls":["https://www.visionaustralia.org/community/news/2026-09-29/vision-australia-ai-newsletter-september-2026"]},{"kind":"clever-bit","text":"Be My AI is a phone app that describes what the camera sees in words, including signs, logos and symbols. In Vision Australia's September AI newsletter, Pam describes using it this way.","sourceUrls":["https://www.visionaustralia.org/community/news/2026-09-29/vision-australia-ai-newsletter-september-2026"]},{"kind":"result","text":"Pam says Be My AI helps her access signs, logos and other visual information through her phone. Being able to ask the app gives her another option when she'd rather handle a small task herself than call someone for help. For her, the value is in the everyday moments, like working out what a sign says or what a logo is.","sourceUrls":["https://www.visionaustralia.org/community/news/2026-09-29/vision-australia-ai-newsletter-september-2026"]},{"kind":"hooray","text":"Reading a sign by yourself is a small thing until you can't. Having a way to do it alone, on her own timing and without waiting on anyone, gives Pam a bit more independence in everyday life. It's a quiet example of AI doing something useful in the background of someone's day.","sourceUrls":["https://www.visionaustralia.org/community/news/2026-09-29/vision-australia-ai-newsletter-september-2026"]},{"kind":"next","text":"This is one person's account in a newsletter, not a study. It's about getting information, not a claim that the app makes getting around safe, and it doesn't replace a cane, a guide dog or other mobility aids. The newsletter doesn't say when Pam's experience took place or how often the app gets things wrong.","sourceUrls":["https://www.visionaustralia.org/community/news/2026-09-29/vision-australia-ai-newsletter-september-2026"]}],"shareBlurb":"In Vision Australia's September newsletter, Pam describes using the Be My AI app to read signs, logos and other visual information herself, without calling a friend or volunteer."},"they_wrote_back":false,"url":"https://hooraymachine.com/story/everyday-reading-signs","api_url":"https://hooraymachine.com/api/v1/stories/everyday-reading-signs","title":"Be My AI describes signs and logos for Pam, who has declining vision","summary":"In Vision Australia's September newsletter, Pam describes using the Be My AI phone app to read signs, logos and other visual information herself, without calling a friend or a volunteer. It's one person's account, not a study, and it doesn't replace mobility aids or make navigation safe.","category":{"id":"everyday","name":"Delight"},"evidence":{"label":"In use","meaning":"Being used outside a research-only setting. This describes deployment, not proof of effectiveness.","details":"Real-life account · one user. Reported by Vision Australia. September edition; September 29 from publisher URL and indexed metadata. Date of Pam's experience not specified.","caveat":"One person's reported experience, not a controlled study. This is information access, not a claim of safe navigation or replacement for mobility aids."},"provenance":{"kind":"editorial_summary","original_research":false,"curated_by":"Hooray Machine","canonical_source_id":"https://www.visionaustralia.org/community/news/2026-09-29/vision-australia-ai-newsletter-september-2026"},"sources":[{"title":"Vision Australia AI newsletter: September 2026","url":"https://www.visionaustralia.org/community/news/2026-09-29/vision-australia-ai-newsletter-september-2026","published_date":"2026-09-29","source_type":"Primary service-organization newsletter reporting a reader's experience"}],"dates":{"edition_date":"2026-10-07","reviewed_at":"2026-10-07T23:51:00Z","first_curated_at":"2026-10-07T23:57:48.812Z","modified_at":"2026-10-27T21:01:51.906Z"},"image":{"url":"https://hooraymachine.com/images/everyday.webp","alt":"Clay smartphone showing an orange shopfront beside a yellow speech bubble, illustrating visual information described aloud.","credit":"Original AI-generated clay editorial illustration for Hooray Machine. Conceptual artwork, not a photograph or documentary evidence.","ai_generated":true}},{"id":"higher-ed-finance-tutor","topics":[{"id":"higher-ed","name":"Higher Ed"}],"article":{"version":1,"sections":[{"kind":"scene","text":"Corporate finance is a subject you learn by doing problems, and online students often do them alone, late at night, with no one to ask when they get stuck. Office hours only stretch so far.","sourceUrls":["https://arxiv.org/abs/2609.23958"]},{"kind":"clever-bit","text":"Researchers at Boston University, Shihao Yang, Marshall Van Alstyne and Chrysanthos Dellarocas, gave students in an online MBA finance course access to an AI tutor that made them work through finance problems themselves. Students were randomly offered the tutor or not, so the two groups could be compared fairly. The study ran over the course's field period, with the last tests closing on August 15.","sourceUrls":["https://arxiv.org/abs/2609.23958"]},{"kind":"result","text":"On the instructor's own final exam, students offered the tutor scored 2.6 points higher out of 100. That result covers all 86 students in the study, because every one of them took the final. The researchers' separate tests had far fewer completers, 51, so the final is the clearer measure.","sourceUrls":["https://arxiv.org/abs/2609.23958"]},{"kind":"hooray","text":"A few extra points on a final from practice that pushes students to think rather than copy is an encouraging sign that a patient, always-available practice partner can help adult learners who study on their own schedule. Because students were randomly offered the tutor, the gap between the groups is more likely down to the tutor than to which students chose to use it.","sourceUrls":["https://arxiv.org/abs/2609.23958"]},{"kind":"next","text":"It was one small course, students took part voluntarily, and the paper is a September preprint that hasn't been peer-reviewed. The study was preregistered, but the final-exam outcome wasn't one of the preregistered measures. A 2.6-point gain is modest, and it would need to show up again in other courses and other schools before anyone treats it as settled.","sourceUrls":["https://arxiv.org/abs/2609.23958"]}],"shareBlurb":"Boston University online MBA students randomly offered an AI finance tutor that made them work through problems scored 2.6 points higher out of 100 on the instructor's final, across all 86 students."},"they_wrote_back":false,"url":"https://hooraymachine.com/story/higher-ed-finance-tutor","api_url":"https://hooraymachine.com/api/v1/stories/higher-ed-finance-tutor","title":"AI finance tutor raised Boston University MBA final-exam scores 2.6 points in a randomized trial","summary":"Online MBA students at Boston University who were randomly offered an AI tutor that made them work through finance problems scored 2.6 points higher out of 100 on the instructor's own final, with results for all 86 students in the study. It was one small course, and the September preprint isn't peer-reviewed yet.","category":{"id":"higher-ed","name":"Higher Ed"},"evidence":{"label":"Testing","meaning":"Early research, prototypes or preprints. Encouraging questions, not established benefits.","details":"Randomized trial · preprint. Reported by Shihao Yang, Marshall Van Alstyne and Chrysanthos Dellarocas, Boston University. Field period; post-test window closed August 15, 2026.","caveat":"One small, voluntary course study, not peer-reviewed. Separate researcher-designed tests had only 51 completers; the summary uses the instructor's final covering all 86 randomized students. The final-exam outcome was not preregistered."},"provenance":{"kind":"editorial_summary","original_research":false,"curated_by":"Hooray Machine","canonical_source_id":"https://arxiv.org/abs/2609.23958"},"sources":[{"title":"When AI Tutors Speak: Evidence from a Randomized Field Experiment","url":"https://arxiv.org/abs/2609.23958","published_date":"2026-09-21","source_type":"Primary research preprint"}],"dates":{"edition_date":"2026-10-07","reviewed_at":"2026-10-07T23:50:00Z","first_curated_at":"2026-10-07T23:57:37.919Z","modified_at":"2026-10-27T21:01:52.567Z"},"image":{"url":"https://hooraymachine.com/images/higher-ed.webp","alt":"Clay balance scale with yellow coins beside an orange book, a metaphor for practicing finance.","credit":"Original AI-generated clay editorial illustration for Hooray Machine. Conceptual artwork, not a photograph or documentary evidence.","ai_generated":true}},{"id":"k12-science-revision","topics":[{"id":"k12","name":"K–12"}],"article":{"version":1,"sections":[{"kind":"scene","text":"Revising for GCSE science means a lot of biology, chemistry and physics to get through, usually with a textbook and past papers and not much feedback until the exam. Students who get stuck often stay stuck. Teachers can only give so much individual feedback across a full class, especially in the run-up to exams.","sourceUrls":["https://arxiv.org/abs/2609.14789"]},{"kind":"clever-bit","text":"Medly is an AI tutor built for exam revision. Researchers from WhatWorked Education and Durham University ran a four-week randomized trial in English secondary schools, assigning some students to revise with Medly and others to revise as they normally would. The trial covered all three sciences, and students' progress was measured with short topic tests marked out of 35 at the end of the four weeks.","sourceUrls":["https://arxiv.org/abs/2609.14789"]},{"kind":"result","text":"Of 929 students who started, 644 completed the final topic tests. Students who used Medly scored about 2.6 marks higher out of 35 than classmates doing their usual revision, an effect size of 0.33 across biology, chemistry and physics. Randomizing students to the tutor or to their usual revision is what lets the researchers compare the two groups directly.","sourceUrls":["https://arxiv.org/abs/2609.14789"]},{"kind":"hooray","text":"A third of a standard deviation in four weeks is an encouraging result for a short stretch of revision with an AI tutor. Short, steady gains like this are what many teachers look for when choosing revision tools, as long as the evidence keeps holding up.","sourceUrls":["https://arxiv.org/abs/2609.14789"]},{"kind":"next","text":"Medly funded the study, and the preprint hasn't been peer-reviewed. About 31% of students didn't finish, and the topic tests were marked by AI and checked by teachers. The trial says nothing about final GCSE grades or whether the gains last. Independent replication would help settle how much of the effect comes from the tutor itself.","sourceUrls":["https://arxiv.org/abs/2609.14789"]}],"shareBlurb":"In a four-week randomized trial in English secondary schools, students revising GCSE science with the Medly AI tutor scored about 2.6 marks higher out of 35 on topic tests than usual revision."},"they_wrote_back":false,"url":"https://hooraymachine.com/story/k12-science-revision","api_url":"https://hooraymachine.com/api/v1/stories/k12-science-revision","title":"Students using an AI science tutor beat usual revision on topic tests in a 644-student trial","summary":"In a four-week randomized trial in English secondary schools, students assigned the Medly AI tutor for biology, chemistry and physics revision scored about 2.6 marks higher out of 35 on short topic tests than classmates doing their usual revision. The company funded the preprint, and about 31% of students missed the final test.","category":{"id":"k12","name":"K–12"},"evidence":{"label":"Testing","meaning":"Early research, prototypes or preprints. Encouraging questions, not established benefits.","details":"Randomized trial · preprint. Reported by Wayne Harrison and colleagues, WhatWorked Education and Durham University. Four-week trial; calendar dates not specified in retrieved paper.","caveat":"Company-funded; not peer-reviewed. High attrition and teacher-checked, AI-marked topic tests limit confidence. No claim about final GCSE grades or lasting gains."},"provenance":{"kind":"editorial_summary","original_research":false,"curated_by":"Hooray Machine","canonical_source_id":"https://arxiv.org/abs/2609.14789"},"sources":[{"title":"Evaluating AI Tutoring at the Speed of Innovation","url":"https://arxiv.org/abs/2609.14789","published_date":"2026-09-13","source_type":"Primary research preprint"}],"dates":{"edition_date":"2026-10-07","reviewed_at":"2026-10-07T23:50:00Z","first_curated_at":"2026-10-07T23:57:34.985Z","modified_at":"2026-10-27T21:01:53.009Z"},"image":{"url":"https://hooraymachine.com/images/k12.webp","alt":"Playful clay book and orange pencil with a seedling growing from the pages, a metaphor for science learning.","credit":"Original AI-generated clay editorial illustration for Hooray Machine. Conceptual artwork, not a photograph or documentary evidence.","ai_generated":true}},{"id":"science-cell-transport-switch","topics":[{"id":"science-nature","name":"Science & Nature"}],"article":{"version":1,"sections":[{"kind":"scene","text":"Inside every cell, proteins act as switches that start and stop the shipping of cargo from one place to another. Biologists know many of the switches but not all the hands that flip them, and finding those partners by trial and error in the lab is slow.","sourceUrls":["https://news.cornell.edu/stories/2026/09/ai-reveals-new-class-cellular-switch-linked-cancer-pathways","https://rupress.org/jcb/article-abstract/225/11/e202601003/283007/Avl9-defines-a-family-of-DENN-domain-GTPase"]},{"kind":"clever-bit","text":"Ryan Vignogna and J. Christopher Fromme at Cornell used AlphaFold-based computer screens to predict which proteins might pair up with Arf1, a switch protein that directs cargo inside cells. That turned a huge search into a short list of candidates worth testing at the bench.","sourceUrls":["https://news.cornell.edu/stories/2026/09/ai-reveals-new-class-cellular-switch-linked-cancer-pathways","https://rupress.org/jcb/article-abstract/225/11/e202601003/283007/Avl9-defines-a-family-of-DENN-domain-GTPase"]},{"kind":"result","text":"Lab experiments confirmed that Avl9, a protein known to be involved in secretion and cell migration but whose job had never been pinned down, switches Arf1 off. The same activity shows up in the human version. The team also found that a related protein, DENND6A, switches off another target, and proposed that other DENN-domain proteins may work the same way. Avl9 is pulled onto tiny secretory bubbles called vesicles by another switch protein, Rab8, and its switching activity helps cells move.","sourceUrls":["https://rupress.org/jcb/article-abstract/225/11/e202601003/283007/Avl9-defines-a-family-of-DENN-domain-GTPase","https://news.cornell.edu/stories/2026/09/ai-reveals-new-class-cellular-switch-linked-cancer-pathways"]},{"kind":"hooray","text":"A computer short list led straight to a new job for a little-studied protein and hints at a whole family of similar switches. That gives cell biologists fresh leads to chase. The team calls the group a family of DENN GAP proteins, and it may help explain jobs that other well-known proteins have been doing all along.","sourceUrls":["https://news.cornell.edu/stories/2026/09/ai-reveals-new-class-cellular-switch-linked-cancer-pathways","https://rupress.org/jcb/article-abstract/225/11/e202601003/283007/Avl9-defines-a-family-of-DENN-domain-GTPase"]},{"kind":"next","text":"This is basic cell biology. There's no treatment in it, and it shouldn't be read as a cancer off-switch. The paper was published online in the Journal of Cell Biology on September 9. Many of the candidate proteins named in the paper still have to be tested one by one.","sourceUrls":["https://rupress.org/jcb/article-abstract/225/11/e202601003/283007/Avl9-defines-a-family-of-DENN-domain-GTPase","https://news.cornell.edu/stories/2026/09/ai-reveals-new-class-cellular-switch-linked-cancer-pathways"]}],"shareBlurb":"Cornell biologists used AlphaFold to shortlist partners of Arf1, a protein that directs cargo inside cells, then confirmed in the lab that little-studied Avl9 switches it off."},"they_wrote_back":false,"url":"https://hooraymachine.com/story/science-cell-transport-switch","api_url":"https://hooraymachine.com/api/v1/stories/science-cell-transport-switch","title":"AI shortlist led Cornell biologists to a protein that switches off part of cell transport","summary":"Cornell researchers used AlphaFold to shortlist likely partners of Arf1, a protein that directs cargo inside cells, then confirmed in lab experiments that the little-studied Avl9 switches Arf1 off. Related DENN-domain proteins may do the same. It's basic cell biology with no treatment yet, and it isn't a cancer switch.","category":{"id":"science-nature","name":"Science & Nature"},"evidence":{"label":"Promising","meaning":"Results measured in a study or bounded trial. Limitations and wider testing still matter.","details":"Peer-reviewed · laboratory discovery. Reported by Stephen D’Angelo, Cornell Chronicle; research by Ryan C. Vignogna and J. Christopher Fromme. Online publication September 9; journal issue dated November 2 must not be treated as the research publication date.","caveat":"Basic cell biology, not a new treatment. The switch regulates cellular transport; do not call it a cancer off-switch."},"provenance":{"kind":"editorial_summary","original_research":false,"curated_by":"Hooray Machine","canonical_source_id":"https://rupress.org/jcb/article-abstract/225/11/e202601003/283007/Avl9-defines-a-family-of-DENN-domain-GTPase"},"sources":[{"title":"AI reveals new class of cellular ‘off switch’ linked to cancer pathways","url":"https://news.cornell.edu/stories/2026/09/ai-reveals-new-class-cellular-switch-linked-cancer-pathways","published_date":"2026-09-09","source_type":"Primary institution report plus research-paper abstract"},{"title":"Read the research paper","url":"https://rupress.org/jcb/article-abstract/225/11/e202601003/283007/Avl9-defines-a-family-of-DENN-domain-GTPase","published_date":"2026-09-09","source_type":"Primary research paper"}],"dates":{"edition_date":"2026-10-07","reviewed_at":"2026-10-07T23:51:00Z","first_curated_at":"2026-10-07T23:57:42.683Z","modified_at":"2026-10-27T21:01:53.220Z"},"image":{"url":"https://hooraymachine.com/images/science-nature.webp","alt":"Conceptual clay cell with an orange transport gate and small yellow cargo spheres; not a scientific micrograph.","credit":"Original AI-generated clay editorial illustration for Hooray Machine. Conceptual artwork, not a photograph or documentary evidence.","ai_generated":true}}],"pagination":{"page":1,"limit":20,"total":10,"total_pages":1,"next":null,"previous":null},"links":{"self":"https://hooraymachine.com/api/v1/stories?source_from=2026-09-01&source_to=2026-09-30&limit=20&page=1","documentation":"https://hooraymachine.com/api/docs","schema":"https://hooraymachine.com/openapi.json","rss":"https://hooraymachine.com/feed.xml","json_feed":"https://hooraymachine.com/feed.json"}}