#open-range — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #open-range, aggregated by home.social.
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Movie TV Tech Geeks #MovieNews #OpenRange #KevinCostner #Yellowstone Kevin Costner’s “Imperfect But Deeply Involving” Western Masterpiece Officially Finds a New Streamer http://dlvr.it/TTs7l8
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Movie TV Tech Geeks #MovieNews #OpenRange #KevinCostner #Yellowstone Kevin Costner’s “Imperfect But Deeply Involving” Western Masterpiece Officially Finds a New Streamer http://dlvr.it/TTs7l8
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“Science is a cooperative enterprise spanning the generations… a community of minds, reaching back to antiquity and forward to the stars”*…
The sharing of experimental results and the underlying data is critical to the advance of science. Indeed, when I had the chance to do a scenario planning exercise with a collection of the leading research university librarians in the U.S. a couple of decades ago, the biggest threat/fear they surfaced was the concern that the free and open exchange of ideas and data, as manifest formally in scientific publication and informally in the collegial cooperation among scientists, would be occluded by an increasing proprietary embrace of knowledge.
73% of geneticists surveyed in an article in the 23/30 January 2002 issue of the Journal of the American Medical Association agreed that although keeping data private may help the individual researcher, data hoarding is detrimental to the progress of science Still, sadly, that threat has grown since the turn of the millennium.
By way of current (and dramatic) example: as Celina Zhao reports, more than half of AI “unicorns” have never published a paper or preprint…
Today’s biggest artificial intelligence (AI) startups make no shortage of bold promises. Their technologies, some boast, will revolutionize software development, drug discovery, and scientific research.
Yet a new preprint posted on 16 July on bioRxiv suggests many of these firms barely participate in one of science’s most fundamental practices: publicly documenting discoveries in scientific literature so other researchers can evaluate and build on them. More than half of AI unicorns—private companies valued at more than $1 billion—have never played a leading role in publishing a scientific paper or preprint, according to the new analysis. Collectively, they accounted for just one in every 1000 AI papers published in 2025.
“For a field that is supposedly reshaping science and is so advanced in terms of scientific potential, not having any scientific documentation seems like a very weird paradox,” says paper co-author John Ioannidis, a metascientist at Stanford University [see here]. “How can you judge that what they say is real, validated, and reproducible?” The scarcity of publications, others say, also makes it harder to assess AI’s social impacts, including energy use and safety.
But University of Alberta AI ethicist Mohamed Abdalla says the findings reflect the incentives facing commercial AI developers, rather than solely a failure to uphold scientific norms. “It’s not the company’s job to advance science, right?” he says. “The company’s job is to advance money.”
Ioannidis has long studied how unicorns, particularly in biotech, engage with the scientific literature. (In 2015, he was the first to publicly scrutinize the lack of peer-reviewed studies produced by Theranos, the blood testing startup that proved to be based on fraudulent data.) He wondered whether AI unicorns would show similar patterns.
To find out, he and his team first identified all 317 unicorn AI companies that have existed from 1998 to 2025. Then, they searched for publications affiliated with these startups—including journal articles, conference papers, reviews, and preprints. They selected those where a company researcher played a leading role as a first or last author, indicating the startup had made a substantial contribution to the work. The final data set included 2077 final publications, comprising 1389 peer-reviewed papers and 688 preprints.
More than half of the startups had never produced a single qualifying paper, the analysis revealed. Scientific influence proved even more concentrated, with the top 5% of firms accounting for greater than 90% of all citations. OpenAI alone was responsible for nearly 40% of all citations in the data set, followed by the Chinese computer vision company Megvii and the platform Hugging Face. And even at the most prolific companies, much of the output came from the same small group of repeat authors. For example, despite OpenAI employing roughly 4500 people, only eight researchers had authored five or more qualifying papers.
The findings are unsurprising to some AI researchers given how the industry is structured. For example, unlike the pharmaceutical industry, where published discoveries can be protected by patents, AI companies have learned they often gain little from publicly disclosing technical advances, says Nur Ahmed, an AI researcher at the University of Arkansas. Google’s landmark 2017 paper on the transformer—the architecture that underpins today’s large language models—has become a classic cautionary example, Abdalla adds. Although Google patented aspects of the technology, “I don’t think anybody’s paying Google for that,” he says.
Startups also operate on much faster timelines than academia, where peer review can lumber on for months or even years. That’s why many AI companies have embraced what Avijit Ghosh, an AI policy researcher at Hugging Face, calls the “blogification” of research: announcing new models and releasing code or data sets through blog posts and technical reports rather than scientific journals. The new analysis didn’t track those outputs, he points out.
For Ghosh, the debate shouldn’t center on publishing in journals versus blogs. What matters is whether companies are releasing enough code, data sets, or model weights (the numbers that determine how a model interprets and responds to a prompt) for others to independently verify and build on their work, he says.
The preprint also found that firms based in China consistently published more papers than their counterparts based in the United States. Whereas leading U.S. frontier labs have increasingly kept the details of their most capable models secret or “closed sourced,” leading Chinese companies have embraced “open-source” models. Moonshot AI, one of the Chinese startups included in the study, recently unveiled Kimi K3—one of the strongest open models to date—and publicly released its model weights through Hugging Face today.
But whether models are open or closed, the rapid pace toward increasingly powerful generalist AI worries Emma Pierson, a computer scientist at the University of California, Berkeley. She argues AI research—whether published freely or kept secret—risks accelerating models that pose serious societal and safety concerns, including supercharging cyberattacks. “If we were racing forward on cancer-curing AI, I would be like, ’Fantastic, full steam ahead,’” she says. “But that’s not what we’re racing toward, right?”…
The secretive unicorns: “AI’s top startups are barely publishing their research,” from @science.org.
By way of example? In order to have a broader footprint in AI for (default proprietary) scientific discovery, Google moves away from a successful AI effort (that did publish): “Google DeepMind dismantles Nobel-winning AlphaFold team in strategy shift” (gift article from the FT). One wonders: when these LLMs run out of published papers on which to train, where (and how) will they source the knowledge they need to stay useful?
* Neil deGrasse Tyson
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As we share and share alike, we might recall that it was on this date in 1887 that Chester A. Hodge of Beloit, Wisconsin received patent No. 367,398 for ‘spur rowel’ barbed wire (consisting of spur shaped wheels with 8 or 10 points mounted between 2 wires). It was one of many patents for barbed wire (e.g., here), which spread across the American West rapidly (thanks, in no small measure to the guy featured in the almanac entry here)– and (by protecting farmers from foraging free-ranging cattle) paved the way for the expansion of wheat (and other kinds of) farming… even as it spelled the doom of a commons– the open range.
Roll of modern agricultural barbed wire (source) #academicCommunications #academicResearch #AI #artificialIntelligence #barbedWire #ChesterHodge #commons #cooperation #culture #history #openRange #research #Science #scientificJournals #scientificPapers #scientificPublication #scientificPublishing #scientificResearch #Technology -
“Science is a cooperative enterprise spanning the generations… a community of minds, reaching back to antiquity and forward to the stars”*…
The sharing of experimental results and the underlying data is critical to the advance of science. Indeed, when I had the chance to do a scenario planning exercise with a collection of the leading research university librarians in the U.S. a couple of decades ago, the biggest threat/fear they surfaced was the concern that the free and open exchange of ideas and data, as manifest formally in scientific publication and informally in the collegial cooperation among scientists, would be occluded by an increasing proprietary embrace of knowledge.
73% of geneticists surveyed in an article in the 23/30 January 2002 issue of the Journal of the American Medical Association agreed that although keeping data private may help the individual researcher, data hoarding is detrimental to the progress of science Still, sadly, that threat has grown since the turn of the millennium.
By way of current (and dramatic) example: as Celina Zhao reports, more than half of AI “unicorns” have never published a paper or preprint…
Today’s biggest artificial intelligence (AI) startups make no shortage of bold promises. Their technologies, some boast, will revolutionize software development, drug discovery, and scientific research.
Yet a new preprint posted on 16 July on bioRxiv suggests many of these firms barely participate in one of science’s most fundamental practices: publicly documenting discoveries in scientific literature so other researchers can evaluate and build on them. More than half of AI unicorns—private companies valued at more than $1 billion—have never played a leading role in publishing a scientific paper or preprint, according to the new analysis. Collectively, they accounted for just one in every 1000 AI papers published in 2025.
“For a field that is supposedly reshaping science and is so advanced in terms of scientific potential, not having any scientific documentation seems like a very weird paradox,” says paper co-author John Ioannidis, a metascientist at Stanford University [see here]. “How can you judge that what they say is real, validated, and reproducible?” The scarcity of publications, others say, also makes it harder to assess AI’s social impacts, including energy use and safety.
But University of Alberta AI ethicist Mohamed Abdalla says the findings reflect the incentives facing commercial AI developers, rather than solely a failure to uphold scientific norms. “It’s not the company’s job to advance science, right?” he says. “The company’s job is to advance money.”
Ioannidis has long studied how unicorns, particularly in biotech, engage with the scientific literature. (In 2015, he was the first to publicly scrutinize the lack of peer-reviewed studies produced by Theranos, the blood testing startup that proved to be based on fraudulent data.) He wondered whether AI unicorns would show similar patterns.
To find out, he and his team first identified all 317 unicorn AI companies that have existed from 1998 to 2025. Then, they searched for publications affiliated with these startups—including journal articles, conference papers, reviews, and preprints. They selected those where a company researcher played a leading role as a first or last author, indicating the startup had made a substantial contribution to the work. The final data set included 2077 final publications, comprising 1389 peer-reviewed papers and 688 preprints.
More than half of the startups had never produced a single qualifying paper, the analysis revealed. Scientific influence proved even more concentrated, with the top 5% of firms accounting for greater than 90% of all citations. OpenAI alone was responsible for nearly 40% of all citations in the data set, followed by the Chinese computer vision company Megvii and the platform Hugging Face. And even at the most prolific companies, much of the output came from the same small group of repeat authors. For example, despite OpenAI employing roughly 4500 people, only eight researchers had authored five or more qualifying papers.
The findings are unsurprising to some AI researchers given how the industry is structured. For example, unlike the pharmaceutical industry, where published discoveries can be protected by patents, AI companies have learned they often gain little from publicly disclosing technical advances, says Nur Ahmed, an AI researcher at the University of Arkansas. Google’s landmark 2017 paper on the transformer—the architecture that underpins today’s large language models—has become a classic cautionary example, Abdalla adds. Although Google patented aspects of the technology, “I don’t think anybody’s paying Google for that,” he says.
Startups also operate on much faster timelines than academia, where peer review can lumber on for months or even years. That’s why many AI companies have embraced what Avijit Ghosh, an AI policy researcher at Hugging Face, calls the “blogification” of research: announcing new models and releasing code or data sets through blog posts and technical reports rather than scientific journals. The new analysis didn’t track those outputs, he points out.
For Ghosh, the debate shouldn’t center on publishing in journals versus blogs. What matters is whether companies are releasing enough code, data sets, or model weights (the numbers that determine how a model interprets and responds to a prompt) for others to independently verify and build on their work, he says.
The preprint also found that firms based in China consistently published more papers than their counterparts based in the United States. Whereas leading U.S. frontier labs have increasingly kept the details of their most capable models secret or “closed sourced,” leading Chinese companies have embraced “open-source” models. Moonshot AI, one of the Chinese startups included in the study, recently unveiled Kimi K3—one of the strongest open models to date—and publicly released its model weights through Hugging Face today.
But whether models are open or closed, the rapid pace toward increasingly powerful generalist AI worries Emma Pierson, a computer scientist at the University of California, Berkeley. She argues AI research—whether published freely or kept secret—risks accelerating models that pose serious societal and safety concerns, including supercharging cyberattacks. “If we were racing forward on cancer-curing AI, I would be like, ’Fantastic, full steam ahead,’” she says. “But that’s not what we’re racing toward, right?”…
The secretive unicorns: “AI’s top startups are barely publishing their research,” from @science.org.
By way of example? In order to have a broader footprint in AI for (default proprietary) scientific discovery, Google moves away from a successful AI effort (that did publish): “Google DeepMind dismantles Nobel-winning AlphaFold team in strategy shift” (gift article from the FT). One wonders: when these LLMs run out of published papers on which to train, where (and how) will they source the knowledge they need to stay useful?
* Neil deGrasse Tyson
###
As we share and share alike, we might recall that it was on this date in 1887 that Chester A. Hodge of Beloit, Wisconsin received patent No. 367,398 for ‘spur rowel’ barbed wire (consisting of spur shaped wheels with 8 or 10 points mounted between 2 wires). It was one of many patents for barbed wire (e.g., here), which spread across the American West rapidly (thanks, in no small measure to the guy featured in the almanac entry here)– and (by protecting farmers from foraging free-ranging cattle) paved the way for the expansion of wheat (and other kinds of) farming… even as it spelled the doom of a commons– the open range.
Roll of modern agricultural barbed wire (source) #academicCommunications #academicResearch #AI #artificialIntelligence #barbedWire #ChesterHodge #commons #cooperation #culture #history #openRange #research #Science #scientificJournals #scientificPapers #scientificPublication #scientificPublishing #scientificResearch #Technology -
Movie TV Tech Geeks #MovieNews #OpenRange #KevinCostner #Western Say Goodbye to Kevin Costner's Pre-'Yellowstone' Western With a 'Dutton Ranch' Star http://dlvr.it/TTF7BD
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Movie TV Tech Geeks #MovieNews #OpenRange #KevinCostner #Western Say Goodbye to Kevin Costner's Pre-'Yellowstone' Western With a 'Dutton Ranch' Star http://dlvr.it/TTF7BD
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Movie TV Tech Geeks #MovieNews #OpenRange #KevinCostner #Yellowstone Kevin Costner’s Western Epic That Helped Pave the Way for ‘Yellowstone’ Is Streaming for Free This Month http://dlvr.it/TSwJVz
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Movie TV Tech Geeks #MovieNews #OpenRange #KevinCostner #Yellowstone Kevin Costner’s Western Epic That Helped Pave the Way for ‘Yellowstone’ Is Streaming for Free This Month http://dlvr.it/TSwJVz
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A view over Stekenjokk, Klimpfjäll, Sweden
Song: We all die young
Artist: Eden's Curse#sweden #schweden #klimpfjäll #stekenjokk #vildmarksvägen #wildernessroad #weite #openrange #mountains #berge #outdoorliving #peace #innerbalance #travel #Natur #nature #trekking #hiking #freedom #freiheit #wandern #outdoor #frieden #travelphotography #intothewild #edenscurse
https://www.instagram.com/reel/DYtu-07NTO0/?igsh=MWQxNG84eHV3M2QyYw== -
A view over Stekenjokk, Klimpfjäll, Sweden
Song: We all die young
Artist: Eden's Curse#sweden #schweden #klimpfjäll #stekenjokk #vildmarksvägen #wildernessroad #weite #openrange #mountains #berge #outdoorliving #peace #innerbalance #travel #Natur #nature #trekking #hiking #freedom #freiheit #wandern #outdoor #frieden #travelphotography #intothewild #edenscurse
https://www.instagram.com/reel/DYtu-07NTO0/?igsh=MWQxNG84eHV3M2QyYw== -
Open Range - Weites Land (2003)
verfügbar bis 16.05.2026https://www.imdb.com/de/title/tt0316356
#OpenRange #WeitesLand #ard #ardmediathek #mediathek #Film #Western #KevinCostner #RobertDuvall #DiegoLuna
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Open Range - Weites Land (2003)
verfügbar bis 16.05.2026https://www.imdb.com/de/title/tt0316356
#OpenRange #WeitesLand #ard #ardmediathek #mediathek #Film #Western #KevinCostner #RobertDuvall #DiegoLuna
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Movie TV Tech Geeks #Movie #Western #BloodOnTheMoon #OpenRange 8 Near-Perfect Westerns That No One Remembers Today http://dlvr.it/TRCzC9
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Movie TV Tech Geeks #MovieFeatures #OpenRange #KevinCostner Kevin Costner Willingly Gave Up Top Billing to Robert Duvall in This Forgotten Western Drama http://dlvr.it/TR44v0
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Movie TV Tech Geeks #MovieNews #OpenRange #KevinCostner ‘Yellowstone’ Star’s 139-Minute Western Gem Is Ageing Phenomenally on Streaming http://dlvr.it/TR3bKv
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𝐑𝐨𝐛𝐞𝐫𝐭 𝐃𝐮𝐯𝐚𝐥𝐥 (1931-2026)
Acteur Réalisateur et Scénariste Américain#RobertDuvall #cinegenres #culte #classic #cinema #film #movie
#Bullitt #TheDetective #THX1138 #TheGodfather #TheOutfit
#TheKillerElite #Network #ApocalypseNow #TrueConfessions
#TenderMercies #Colors #TheHandmaidsTale #ChuteLibre
#FallingDown #TheApostle #Préjudice #ACivilAction #OpenRange
#WeOwnTheNight #TheJudge #Widows #Hustle -
Movie TV Tech Geeks #Movie #Western #PaleRider #OpenRange 9 Forgotten Western Movie Masterpieces That Have Aged Perfectly http://dlvr.it/TQRpjr
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Building peace means building the barn wide enough, so that the whole herd can sleep in it.
(Antoine de Saint-Exupéry)Den Frieden bauen, heißt den Stall weit genug bauen, damit die ganze Herde darin schlafe.
(Antoine de Saint-Exupéry)Stekenjokk, Klimpfjäll, Sweden
#sweden #schweden #klimpfjäll #stekenjokk #vildmarksvägen #wildernessroad #weite #openrange #mountains #berge #outdoorliving #peace #travel #Natur #nature #trekking #hiking #freedom #freiheit #wandern #outdoor #travelphotography
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𝐅ilm de la 𝐒oirée
𝐎𝐩𝐞𝐧 𝐑𝐚𝐧𝐠𝐞 de Kevin Costner en 2003
*13 ans après le somptueux "Danse avec les loups", Kevin Costner revient avec un nouveau Western, "Open Range"
#OpenRange #KevinCostner #RobertDuvall #AnnetteBening #western
#histoire #history #cinema #culte #cinegenres #vidéothèqueidéale@Cinegenres cinegenres.com @cinegenres.Shorts @cinegenres-actrices
𝐅ilm 𝐂omplet:
https://cinegenres.com/film-de-la-soiree/ -
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Kevin Costner’s Underrated Western Features One of the Best Shootouts
#Collider #MovieFeatures #KevinCostner #OpenRangehttps://collider.com/kevin-costner-western-movie-open-range/
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Kevin Costner’s Underrated Western Features One of the Best Shootouts
#Collider #MovieFeatures #KevinCostner #OpenRangehttps://collider.com/kevin-costner-western-movie-open-range/
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JFC I was not expecting that😱
#WestWed #OpenRange -
JFC I was not expecting that😱
#WestWed #OpenRange -
From the music to the cinematography to building a whole damn town… not a single corner was cut and it really pays off
#WestWed #OpenRange -
From the music to the cinematography to building a whole damn town… not a single corner was cut and it really pays off
#WestWed #OpenRange -
A fraction of a fraction of the gorgeous shots in “Open Range”
#WestWed #OpenRange -
A fraction of a fraction of the gorgeous shots in “Open Range”
#WestWed #OpenRange -
And our #WestWed leading lady is Annette Bening
#OpenRange #AnnetteBening -
And our #WestWed leading lady is Annette Bening
#OpenRange #AnnetteBening -
This week’s #WestWed leading men are Kevin Costner, Robert Duvall, Abraham Benrubi, Diego Luna and Michael Gambon
#OpenRange #KevinCostner #RobertDuvall #AbrahamBenrubi #DiegoLuna #MichaelGambon -
This week’s #WestWed leading men are Kevin Costner, Robert Duvall, Abraham Benrubi, Diego Luna and Michael Gambon
#OpenRange #KevinCostner #RobertDuvall #AbrahamBenrubi #DiegoLuna #MichaelGambon -
Late but here for “Open Range”
#WestWed #OpenRange -
Late but here for “Open Range”
#WestWed #OpenRange -
Who else has watched #OpenRange ? I have been powering through season 1 these last couple of days. Really enjoying it. What the hell is up with the singing guy though? Bizarre Lovecraftian mystery unfolding, and this abrupt karaoke kid is the weirdest thing in the show. I wish it went just a little bit harder on the Lynchian small towniness.
