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Epstein, Jeffrey E (1953- )

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Jagland, Thorbjorn

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Juul, Mona (1959- )

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Mette-Marit, Crown Princess of Norway

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Brende, Borge (1965- )

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Sorkin, Aaron

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The Social Reckoning (Movie)

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Dadd, Richard

1
Kapoor, Anish

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coding

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magnétar

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Crouch, Daniel

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moaï

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statues de l'Ile de Pâques

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pollens

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nez bouché

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spray nasal

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rapports sexuels

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vaisseaux sanguins

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cavité nasale

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système nerveux sympathique

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adrénaline

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système parasympathique

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logiciel antivirus

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norton antivirus

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Backrooms (Movie)

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Evil Dead Burn (Movie)

1
Keeper (Movie)

1
Teenage Sex and Death at Camp Miasma (Movie)

1
Goody Goody (Movie)

1
Legislatures and Parliaments

1
Fatah, Al

1
Hamas

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Abbas, Mahmoud

1
Sheikh, Hussein al-

1
Gaza Strip

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IA

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étoile

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marin

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pirogue

1
embarcations

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navigation

1
ciel nocturne

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modèle

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nucléation homogène

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1
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1
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1
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1
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1
Harlin, Renny

1
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1
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1
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1
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1
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1

Tech 15
Nobel Prizes 10
Art 9
AI 8
News 8
Frieze Art Fair 7
Policy 7
Gadgets 7
Séries à la TV 6
Fashion 5
Content Type: Personal Profile 5
Israel-Gaza War (2023- ) 5
Norwegian Nobel Committee 5
no_ads 5
Politics and Government 5
Museums 4
Politics 4
Movies 4
Social Media 4
Streaming 4
Trump, Donald J 4
War Crimes, Genocide and Crimes Against Humanity 4
Demonstrations, Protests and Riots 4
Tournages 4
Collectors and Collections 3
Israel 3
International Criminal Court 3
Culture ciné 3
Meta 3
Report 3
Modi, Narendra 3
Delhi (India) 3
Content Type: Service 3
Awards, Decorations and Honors 3
Stockholm (Sweden) 3
London (England) 2
OpenAI 2
James Webb Space Telescope 2
télescope spatial James Webb 2
Google 2
Saudi Arabia 2
Music 2
Économie 2
International Relations 2
Human Rights and Human Rights Violations 2
United Nations 2
Netanyahu, Benjamin 2
Amazon 2
Robberies and Thefts 2
Stars 2
Laptops 2
Microsoft 2
Entertainment 2
Pillay, Navi 2
États-Unis 2
Les tendances 2
histoire 2
Creators 2
TikTok 2
Documentary Films and Programs 2
Musk, Elon 2
Gibney, Alex 2
Musk (Movie) 2
Palestinians 2
Géopolitique 2
Analysis 2
Reviews 2
Astronomie 2
France 2
Police 2
Youth 2
India 2
Soldes et marques 2
Ethics and Official Misconduct 2
Epstein, Jeffrey E (1953- ) 2
Jagland, Thorbjorn 2
Juul, Mona (1959- ) 2
Norway 2
Mette-Marit, Crown Princess of Norway 2
Brende, Borge (1965- ) 2
Sorkin, Aaron 2
The Social Reckoning (Movie) 2
New Delhi (India) 2
Dadd, Richard 1
Kapoor, Anish 1
Churchill, Winston Leonard Spencer 1
Devlin, Es 1
Wallace Collection (London, England, Museum) 1
Orozco, Gabriel 1
Auctions 1
Hong Kong 1
Delivery Services 1
Anthropic 1
agentic coding 1
AI agents 1
coding 1
pull requests 1
review 1
Airlines and Airplanes 1
Hijacking 1
Aviation Accidents, Safety and Disasters 1
September 11 (2001) 1
Airport Security 1
Flydubai 1
al-Hammami, Hamam 1
Australia 1
Oman 1
United Arab Emirates 1
Chastain, Jessica 1
Duplass, Jay 1
Savage, Rob (Film Director) 1
Other Mommy (Movie) 1
Health 1
anti-vaccine 1
clinical trial 1
Guinea-Bissau 1
hepatitis B 1
WHO 1
Earthquakes 1
Panama 1
Tidal Waves and Tsunamis 1
Panama City (Panama) 1
Biz & IT 1
Desktops 1
IDC 1
laptops 1
Science 1
Nikon Small World in Motion video 1
Dancing 1
Books and Literature 1
New York City Center Theater 1
Australian Ballet 1
Orchestra of St Luke's 1
Wheeldon, Christopher 1
Wilde, Oscar 1
Oscar (Ballet) 1
New York City 1
Debian Linux 1
desktop theme 1
forky 1
spacex 1
starlink 1
sursaut radio rapide 1
Univers 1
cosmologie 1
astrophysique 1
FRB 20240304B 1
sursaut Lorimer 1
sursauts radio rapides 1
FRB 1
magnétar 1
JWST 1
Fast Radio Bursts 1
À la Une 1
Cameras 1
Fitness 1
Wearable 1
Hafez Gallery 1
Indigenous Australians 1
Brown, Kaye 1
Gillray, James 1
Crouch, Daniel 1
Comedy and Humor 1
England 1
Appointments and Executive Changes 1
Pop and Rock Music 1
Kennedy, John F, Center for the Performing Arts 1
Floca, Matt 1
Rick Canny 1
Deals 1
Verge Shopping 1
Apartheid (Policy) 1
South Africa 1
Vidéo 1
Wines 1
Marchesi Antinori Srl 1
Warehouses 1
Security and Warning Systems 1
Cortona (Italy) 1
Tuscany (Italy) 1
Notepad 1
Regulation 1
Apple 1
Apple Rumors 1
Smart Home 1
Danon, Danny (1971- ) 1
International Court of Justice (UN) 1
île de Pâques 1
Archéologie 1
moaï 1
statues de l'Ile de Pâques 1
colonisation 1
épidémie 1
Rapa Nui 1
Paléopalynologie 1
pollens 1
expansion polynésienne 1
population autochtone 1
paléogénétique 1
Festivals 1
United States International Relations 1
Courts and the Judiciary 1
Executive Orders and Memorandums 1
Embargoes and Sanctions 1
State Department 1
Rubio, Marco 1
rhume 1
Orgasme 1
Sexualité 1
nez bouché 1
congestion nasale 1
spray nasal 1
rapports sexuels 1
vaisseaux sanguins 1
cavité nasale 1
système nerveux sympathique 1
adrénaline 1
système parasympathique 1
Twitch 1
Twitter - X 1
YouTube 1
Podcasts 1
Vergecast 1
Yémen 1
Guides Tech 1
logiciel antivirus 1
norton antivirus 1
St Clair, Ashley (Author) 1
Backrooms (Movie) 1
Evil Dead Burn (Movie) 1
Keeper (Movie) 1
Teenage Sex and Death at Camp Miasma (Movie) 1
Goody Goody (Movie) 1
Legislatures and Parliaments 1
Fatah, Al 1
Hamas 1
Palestinian Authority 1
Abbas, Mahmoud 1
Sheikh, Hussein al- 1
Gaza Strip 1
West Bank 1
IA 1
Book Trade and Publishing 1
Carson, Anne 1
Krasznahorkai, Laszlo 1
New Directions 1
Chelsea (Manhattan, NY) 1
Génétique 1
Politique 1
Guides petit électroménager 1
cuisine 1
airfryer 1
Moulinex 1
amazon 1
Hands-on 1
Mobile 1
océan Pacifique 1
étoile 1
Polynésie 1
les grands navigateurs 1
marin 1
orientation 1
exploration marine 1
îles du Pacifique 1
pirogue 1
embarcations 1
navigation 1
ciel nocturne 1
étoile polaire 1
Grande Ourse 1
pôle nord 1
Renoir, Pierre Auguste 1
Vu de Belgique 1
Transit Systems 1
Democracy (Theory and Philosophy) 1
Generation Z 1
Cockroach Janta Party (India) 1
Supreme Court of India 1
Dipke, Abhijeet 1
Android 1
Asus 1
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Chromebook 1
Dell 1
Google Pixel 1
HP 1
Laptop Reviews 1
Lenovo 1
Argent 1
microsoft 1
syndication 1
Trump adm 1
visas 1
NGC 7129 1
Proto-étoile 1
pouponnière d'étoiles 1
protoétoile 1
amas ouvert 1
Guides photos et vidéos 1
DJI 1
Caméra 1
aliexpress 1
Gaming 1
Portrait 1
Vu de Suisse 1
Guerre du futur 1
satellite 1
guerre en Ukraine 1
Russie 1
drone intercepteur 1
brouillage 1
brouillage électronique 1
spoofing 1
GNSS 1
missile balistique 1
actu-BP 1
Guides entretien des sols 1
Série 1
Éducation 1
Space 1
rocket report 1
space 1
War and Armed Conflicts 1
Airports 1
Houthis 1
Riyadh (Saudi Arabia) 1
Yemen 1
Reportage 1
Santé 1
live-detached 1
Cars 1
Guides TV et son 1
Récompense 1
Agriculture 1
mars 1
nuage 1
Volcan 1
Mars Express 1
ESA 1
Arsia Mons 1
Arsia Mons Elongated Cloud 1
formation des nuages 1
modèle 1
simulation 1
nucléation hétérogène 1
nucléation homogène 1
Television 1
Avatar: Seven Havens (TV Program) 1
Paramount Plus 1
Education (K-12) 1
Macron, Emmanuel (1977- ) 1
Lecornu, Sebastien 1
Paris (France) 1
Affleck, Ben 1
Adamik, Katarzyna (Kasia) 1
Harlin, Renny 1
Mungiu, Cristian 1
Sam Hargrave 1
Rock, Chris 1
Animals (Movie) 1
Fjord (Movie) 1
Matchbox: The Movie (Movie) 1
Misty Green (Movie) 1
The Beast (Movie) 1
Winter of the Crow (Movie) 1
Tombs and Tombstones 1
Bukele, Nayib 1
Chavez, Hugo 1
Central America 1
Honduras 1
El Salvador 1
Latin America 1
San Salvador (El Salvador) 1
Hunger Strikes 1
Elections 1
Latin Music 1
Karol G (Singer) 1
Goya, Francisco de 1
Zaragoza (Spain) 1
Strong, Jeremy (1978- ) 1
Mosaku, Wunmi 1
Burr, Bill 1
greats2026 1
Abramovic, Marina 1
Ulay (1943-2020) 1
Hegarty, Antony (Anohni) 1
Burden, Chris 1
Yugoslavia 1
Belgrade (Serbia) 1
Beuys, Joseph 1
Computer and Video Games 1
Jonathan Blow 1
Order of the Sinking Star (Video Game) 1
Philosophy 1

Leader d’un groupe masculiniste, un ressortissant indien écope de 20 ans de prison pour des sévices sexuels imposés en ligne à des jeunes filles Le Parisien

Oct. 9, 2026, 9:31 p.m.

Leader d’un groupe masculiniste, un ressortissant indien écope de 20 ans de prison pour des sévices sexuels imposés en ligne à des jeunes filles

Beyond the London Fairs: Even More Art NYTimes arts

Oct. 9, 2026, 9:28 p.m.

Frieze Art Fair Art Museums

The museums and galleries have much to offer those coming to Frieze London.

Gabriel Orozco Shows New Art In London NYTimes arts

Oct. 9, 2026, 9:24 p.m.

Frieze Art Fair Orozco, Gabriel Collectors and Collections

A conversation with Gabriel Orozco, who will be showing a sprawling body of work, both old and new, in London.

Sotheby’s Soars as Galleries Struggle in Britain’s Art World NYTimes arts

Oct. 9, 2026, 9:21 p.m.

Frieze Art Fair Art Collectors and Collections

As auction houses like Sotheby’s move millions of dollars of art, some high-profile galleries struggle.

In the Shadows of the Art World, an Invisible Industry Operates NYTimes arts

Oct. 9, 2026, 9:18 p.m.

Frieze Art Fair Art Hong Kong

Right now, hundreds of artworks worth millions are making their way across the world. These people make the travel arrangements.

Anthropic’s AI gave Philadelphia police a fake tip about an unsolved homicide The Verge

Oct. 9, 2026, 9:15 p.m.

AI Anthropic News

An Anthropic AI model provided false information about an unsolved homicide to a Philadelphia Police Department (PPD) tipline, according to a report from 6abc. In a statement released on Friday, the PPD said the AI model sent the tip through PhillyUnsolvedMurders.com on July 18th, but the investigators never reviewed it because it was marked as spam. Anthropic’s AI gave Philadelphia police a fake tip about an unsolved homicide The false tip ‘purported to come from someone who might have information about the case.’ The false tip ‘purported to come from someone who might have information about the case.’ Anthropic learned its AI model sent the false tip on September 28th and notified the PPD on October 7th. The company said that during testing, its AI model was interacting with “randomly selected websites” and submitted false information through the PPD’s tipline, according to the PPD’s statement. The submission “purported to come from someone who might have information about the case,” the PPD said. After discovering the submission, Anthropic halted the testing process that led to the false tip. Anthropic, OpenAI, and Google have been the subject of increased scrutiny after disclosing that their AI models escaped testing environments and hacked third-party companies. Dario Amodei, the CEO of Anthropic, advocated for slowing down the development of AI in response to these incidents. “The company [Anthropic] must strengthen its safeguards to prevent similar incidents from impacting city systems without the city’s knowledge,” the PPD added. “The two-month delay in detecting and reporting the incident to the City is unacceptable.” Anthropic didn’t immediately respond to The Verge’s request for comment. The company is planning to publish a report about this incident, as well as other “instances of unintended model behavior” on Friday, according to the PPD’s statement.

Lens-Lyon (2-1) : les Sang et Or se relancent et mettent un terme à la bonne série de l’OL Le Parisien

Oct. 9, 2026, 9:06 p.m.

Lens-Lyon (2-1) : les Sang et Or se relancent et mettent un terme à la bonne série de l’OL

France's Kering, LVMH strengthen model protection charter for 2027 Fibre2fashion

Oct. 9, 2026, 8:58 p.m.

Fashion

Kering has strengthened its charter on working conditions, respect and protection due to models, setting minimum commitments for signatories and their partners in France and internationally. The charter covers health, fair pay, food, transport, working hours, age limits, consent, non-discrimination, anti-harassment measures, complaints, reporting procedures, audits and annual monitoring.

Concert de Céline Dion : Jean-Jacques Goldman a assisté au show de la star canadienne Le Parisien

Oct. 9, 2026, 8:51 p.m.

Concert de Céline Dion : Jean-Jacques Goldman a assisté au show de la star canadienne

Avocate, chrétienne engagée, fervente défenseuse de Trump : qui est Katie Zacharia, la nouvelle porte-parole de la Maison Blanche ? Le Parisien

Oct. 9, 2026, 8:46 p.m.

Avocate, chrétienne engagée, fervente défenseuse de Trump : qui est Katie Zacharia, la nouvelle porte-parole de la Maison Blanche ?

Crise des carburants : Washington suspend temporairement ses sanctions sur le diesel russe, un accord déjà trouvé avec Poutine, selon Trump Le Parisien

Oct. 9, 2026, 8:41 p.m.

Crise des carburants : Washington suspend temporairement ses sanctions sur le diesel russe, un accord déjà trouvé avec Poutine, selon Trump

« Aujourd’hui, tu vas mettre le feu » : au procès de l’incendie de Saint-Laurent-de-la-Salanque, les vérités du principal accusé Le Parisien

Oct. 9, 2026, 8:16 p.m.

« Aujourd’hui, tu vas mettre le feu » : au procès de l’incendie de Saint-Laurent-de-la-Salanque, les vérités du principal accusé

Ukrainian Drones Close Moscow Airports as Putin Flies Back to Russia

Oct. 9, 2026, 8:15 p.m.

Government planes reported to be carrying the Russian president and his aides home from Turkmenistan were forced to circle or divert to another city.

PSG : Ferran Torres élu meilleur joueur du mois de septembre en Ligue 1 devant Paris Brunner et Lassine Sinayoko Le Parisien

Oct. 9, 2026, 8:01 p.m.

PSG : Ferran Torres élu meilleur joueur du mois de septembre en Ligue 1 devant Paris Brunner et Lassine Sinayoko

Les scientifiques ont percé le secret de longévité du plus vieil animal terrestre, une tortue de 194 ans Slate

Oct. 9, 2026, 7:55 p.m.

L'ADN de cette tortue géante, la plus vieille au monde, a révélé plusieurs mécanismes qui l'aideraient à défier le temps. Ses mitochondries, en particulier, semblent exceptionnellement efficaces.

AI coding agents generate more code, but not more software Arstechnica

Oct. 9, 2026, 7:43 p.m.

AI agentic coding AI agents

Anyone who has even tangentially associated with computer programming knows that modern AI coding assistants and agents can be incredibly efficient at generating huge amounts of functional code. But coders making use of those tools also know better than to trust the accuracy of that code, meaning substantial effort needs to be spent reviewing any AI-generated output. A recent study of actual coding practices across hundreds of firms finds that human code review forms a significant “bottleneck” for the overall efficiency of AI coding tools, resulting in “little evidence that firms increase software output or reduce employment” by using them. Any efficiency increased during the actual coding phase, the study authors find, is “absorbed by downstream constraints in the production process”; as “the code review process significantly increases in length, pull requests are more likely to require revisions, and reviewers leave more comments.” Cut once, measure twice To come to these conclusions, Harvard University researchers Fiona Chen and James Stratton made use of aggregated analytics data from Jellyfish, which measures the granular output of engineering teams. That data encompasses 300 million individual “work events” (e.g., commits and pull requests) and issue management software data across more than 700,000 employees at over 700 relevant software development firms from 2021 through March of 2026. To assess the impact of AI tools on these firms, the researchers used a mix of directly measured AI usage and analyses of GitHub activity to determine when each company started introducing either AI coding assistants (which can help auto-complete code primarily authored by humans) and/or AI coding agents (which primarily write and submit code autonomously based on prompts) into their workflows. The researchers then perform some complicated math to determine a “difference of differences” regression on key variables both before and after the introduction of these tools at different points in time across different organizations. In terms of raw code being produced, the results are clear and stark. The introduction of AI coding agents at a firm leads to a 30 percent increase in total lines of code generated, a 20 percent rise in the number of total commits, and a 23 percent increase in pull requests on average, the researchers write. But all that extra code doesn’t translate directly into improved software output on the firm level. On the contrary, the resolution rate for Issues and Epics (i.e. wholesale software features) tracked by tools like Jira did not change in a statistically significant way after AI tools were introduced (the researchers also found no “compositional shift” in the size or complexity of those Jira-tracked issues across the AI introduction).

Ohio blogger found guilty of harassment for sending Shrek nude to senator The Verge

Oct. 9, 2026, 7:41 p.m.

News Policy Politics

A jury found an Ohio political blogger guilty of telecommunications harassment after he sent an explicit image of Shrek to a Republican state senator. On Friday, a judge ordered DJ Byrnes, owner of political commentary blog The Rooster, to pay a $200 fine, according to a report from the Columbus Dispatch. Ohio blogger found guilty of harassment for sending Shrek nude to senator The Rooster’s DJ Byrnes was ordered to pay $200 over the explicit Shrek message. The Rooster’s DJ Byrnes was ordered to pay $200 over the explicit Shrek message. Byrnes texted Ohio Sen. Jerry Cirino in May after he dropped out of the state’s Senate presidential race. As reported by the Columbus Dispatch, Byrnes sent a nude image of Shrek alongside the message: “Good to see you finally made your humiliation public, Young Mussolini! THE PATRIOTS CAUCUS sends its regards!!!!!!!!!!” Cirino filed a police report against Byrnes, “describing his messages as pornographic and harassing,” according to the Columbus Dispatch. Four state police officers arrested Byrnes at the Ohio statehouse in June, the Columbus Dispatch reports. Byrnes was reportedly held in jail overnight even though he posted bail. ”I can’t wait for the jury to see the image that he sent to me,” Cirino said ahead of the trial, according to the Columbus Dispatch. Byrnes pleaded not guilty to telecommunications harassment, claiming that the text was protected free speech. “This wasn’t a free speech issue; this was a harassment statute that I believed he was in violation of,” Cirino said following the ruling, as reported by News 5 Cleveland. “Obviously, he’s free to write on his blog whatever he wants. I just don’t want to be accosted in the Statehouse in the future.” Most Popular - Anthropic bans ‘abusive or cruel behavior’ toward Claude - GTA VI leaks continue with a lengthy (and very nude) gameplay video - Apple announces surprise ‘Welcome home’ launch event - Hands-on with Amazon’s Alexa Tablet 12 Pro and its wild new matte display - Amazon is phasing out Fire Tablets because they weren’t ‘giving customers what they were asking for’

Attacker in FlyDubai Flight Meant to Crash Into Israeli Airport, Emiratis Say NYTimes world

Oct. 9, 2026, 7:40 p.m.

Airlines and Airplanes Hijacking Aviation Accidents, Safety and Disasters

The attorney general of the United Arab Emirates said that the co-pilot had been inspired by the Sept. 11 attacks after years of descending into extremism.

« Le permis a pour effet d’obstruer la fenêtre » : une entrepreneuse de Vernon déboutée face à son voisin par la justice Le Parisien

Oct. 9, 2026, 7:31 p.m.

« Le permis a pour effet d’obstruer la fenêtre » : une entrepreneuse de Vernon déboutée face à son voisin par la justice

Plate-forme mondiale de photos volées de jeunes filles nues : les deux frères qui dirigeaient le site mis en examen et écroués Le Parisien

Oct. 9, 2026, 7:31 p.m.

Plate-forme mondiale de photos volées de jeunes filles nues : les deux frères qui dirigeaient le site mis en examen et écroués

Paris : un dealer présumé retrouvé mort étranglé dans le XIXe arrondissement, un suspect mis en examen Le Parisien

Oct. 9, 2026, 7:31 p.m.

Paris : un dealer présumé retrouvé mort étranglé dans le XIXe arrondissement, un suspect mis en examen

‘Other Mommy’ Review: Parent, Trap NYTimes arts

Oct. 9, 2026, 7:28 p.m.

Movies Chastain, Jessica Duplass, Jay

Jessica Chastain pulls double duty in “Other Mommy,” bringing campy charisma to this horror schlockfest.

Outrage grows as CDC reportedly poised to fund "unethical" vaccine trial Arstechnica

Oct. 9, 2026, 7:27 p.m.

Health anti-vaccine clinical trial

Outrage has erupted among health experts over news that the Centers for Disease Control and Prevention is still eager to fund a widely condemned vaccine trial that would expose newborns in Guinea-Bissau to hepatitis B, putting them at high risk of a lifelong infection, which can lead to liver cirrhosis, liver cancer, and premature death. The trial was suspended in January after its unethical design came to light and drew international outcry. Although the trial is still halted, staff of the CDC director’s office told the agency’s budget office in late September to set aside $1.6 million to fund the trial, according to a report by Rolling Stone. The money was to be pulled from funding for the CDC’s global health security programs, which might otherwise go toward efforts like combating the Ebola outbreak currently raging in the Democratic Republic of the Congo. The Department of Health and Human Services, which oversees the CDC, did not respond to a request for comment from Ars Technica. If the trial moves forward, it would be funded by the US but run by Danish researchers, who have separately been accused of misconduct. In December, the CDC announced the award of an unsolicited grant for $1.6 million to a research group at the University of Southern Denmark, led by married couple Christine Stabell Benn and Peter Aaby. The pair have produced numerous studies that have been promoted by anti-vaccine advocates, drawing concern and criticism from researchers. Stabell Benn and Aaby are currently under investigation by Danish authorities over allegations of “falsification” and “scientific misconduct” related to previous vaccine research. In January, amid criticism of the trial, officials in Guinea-Bissau said they had suspended the research, saying ethical and technical reviews of the trial’s design were ongoing. “There has been no sufficient coordination in order to take a final decision regarding the study,” Quinhin Nantote, the minister of public health for Guinea-Bissau, said at the time. “Faced with this situation, we decided to suspend it.”

Un faux client tchatcheur, un chauffeur et trois cagoulés… La bande dépouillait les prostituées à Asnières et Courbevoie Le Parisien

Oct. 9, 2026, 7:21 p.m.

Un faux client tchatcheur, un chauffeur et trois cagoulés… La bande dépouillait les prostituées à Asnières et Courbevoie

Il voulait dormir dans la réalité virtuelle, mais son casque l'en empêchait : la solution imaginée est surprenante

Oct. 9, 2026, 7:17 p.m.

Trop lourds, inconfortables et parfois difficiles à supporter sur la durée, les casques de réalité virtuelle pourraient bientôt avoir une alternative inattendue. Des chercheurs japonais ont imaginé un système immersif qui permet de plonger dans un monde virtuel sans rien porter sur la tête....

Large Earthquake in Panama Sets Off Tsunami Alert NYTimes world

Oct. 9, 2026, 7:10 p.m.

Earthquakes Panama Tidal Waves and Tsunamis

The quake, which had a preliminary magnitude of 7.7, was centered in the country’s southern region and was followed by strong aftershocks in the hour that followed.

‘Pure insanity’: Mathematicians will need years to make sense of OpenAI’s latest drop The Verge

Oct. 9, 2026, 7:09 p.m.

AI OpenAI Tech

“Staggering.” “Overwhelming.” “Unprecedented.” “Surreal.” “Pure insanity.” ‘Pure insanity’: Mathematicians will need years to make sense of OpenAI’s latest drop Careers upended overnight, academics will have to separate solutions from slop while OpenAI moves on. Those were among the descriptions more than three dozen mathematicians reached for in conversations with The Verge as they tried to make sense of the flood of mathematical results OpenAI abruptly dropped on the field this week. Amid the awe, excitement, and uncertainty over the sheer scale of the deluge was a deep-seated anxiety over what it all means — and what comes next. For all their different reactions, researchers agreed that simply understanding what OpenAI had released could take years, let alone figuring out where the mathematicians themselves fit in the field now changing around them. Many feared OpenAI would not wait that long before moving on — or releasing even more. In all, OpenAI released nearly 400 AI-generated results. These were spread across more than 700 manuscripts and covered a diverse array of mathematical disciplines, including combinatorics, several branches of geometry, number theory, theoretical computer science, algebra, topology, probability and statistical mechanics, and mathematical physics. The collection is so vast that OpenAI felt the need to publish guidance on how to navigate the sprawling GitHub repository. The sheer volume of work makes even a preliminary assessment as to exactly what the company has released difficult. In the hours and days following the drop, most mathematicians The Verge spoke with said they were still struggling to digest everything; several said that simply working through the roughly 40-page table of contents and abstracts took them the better part of an hour. “Just going over the entire list of abstracts is overwhelming,” said Álvaro Lozano-Robledo, a professor of mathematics at the University of Connecticut. Sprinkled among the hundreds of manuscripts are formalizations in Lean, a programming language and proof assistant that allows results to be verified computationally. These formalizations have proven instrumental in assessing some of OpenAI’s previous mathematical claims, giving researchers confidence that a claim is logically correct even if they don’t fully understand the argument behind it. “If the AIs would disappear now, as though there were aliens that came to Earth and then just left, we would be studying this for the next 10 years, trying to understand everything.” But the degree to which each result had been verified varied wildly. On GitHub, OpenAI acknowledged that the results are “at different stages of verification” and that “many, but not all, of the manuscripts have been formalized.” As of writing, fewer than half the manuscripts in the collection appear to have been described formally. OpenAI said only 300 top-line results out of 719 manuscripts had been formalized, around 42 percent, and that it “will update the repository with more formalizations as we obtain them.” Several mathematicians complained to The Verge about the lack of formalization, particularly given the sheer number of results, and stressed that even when Lean code accompanies a result, evaluation isn’t instantaneous. Researchers must check that the formalization actually proves what the result claims, another time-consuming process, and several digging through the papers said that even where computer-verifiable proofs had been provided, the quality was inconsistent and the statements they verified did not always appear to map neatly onto the claims in accompanying manuscripts. Kevin Buzzard, a mathematics professor at Imperial College London, said he had identified numerous theorems in his area of work — algebraic number theory — of which only around six immediately “stood out.” Few, if any, of those appeared to be formally verified in Lean. “Hence, I either have to read possibly-not-correct slop, or wait for others to do the same, or wait for someone to formalise them before I can say for sure that the results are even correct.” Buzzard’s concerns were echoed by numerous other researchers. Buzzard was far from alone in worrying about AI “slop.” The term is a shorthand for low-quality, frequently erroneous AI-generated material that increasingly crops up online — and in the real world — including academic papers. As in other fields, mathematicians told The Verge they have seen a huge uptick in such material produced with tools like ChatGPT and Claude in recent years. Much of it is confusing, hard to read, and demonstrates little understanding of the subject; it is especially shoddy when it comes to crediting other researchers. OpenAI’s previous mathematical write-ups were widely criticized by experts for their sloppy nature, particularly their poor or nonexistent attribution. In conversations with The Verge ahead of the release, several researchers had taken to calling the impending flood of papers the “slopocalypse,” or similar variations on the theme. Whether the feared “slopocalypse” actually materialized is difficult to say, largely due to the bewildering volume of material released. Early indications suggest OpenAI took more care with papers this time around, or at least with some of them. Several mathematicians told The Verge that their first impressions were far better than they had expected, though by their own admission that was hardly a high bar given the company’s previous shoddy publications. “It’s a big mess. It can cause a huge collapse in the academic culture and simply kill most of the faculties. It’s a social problem and it seems that the AI labs are completely ignoring this issue.” But better does not necessarily mean good, let alone up to the standards usually expected of academic work making claims of this magnitude. With formal verification absent for many of OpenAI’s claims, the quality of the accompanying papers becomes particularly important; they are the primary means by which mathematicians can confirm, understand, scrutinize, and contextualize the results. Producing rigorous mathematical papers is difficult work under even the best of circumstances. Doing so at this kind of scale is a formidable undertaking. OpenAI’s models are pumping out mathematics at a dizzying speed and across a broad range of specialities, far outstripping the capacity of its human staff. The company simply does not have the breadth of expertise or resources to properly scrutinize its findings at the cutting edge of mathematics. Researchers told The Verge that it shows. Many described papers that were difficult, sometimes practically impossible, to follow. “The write-up of the problem I know best made little sense after a quick read,” Brendan Hassett, a mathematics professor at Brown, told The Verge. “If this had been written by a person, I wouldn’t spend any more time trying to understand it. Of course, this leaves 721 other preprints!” (Hassett said this before OpenAI retracted three papers). Some researchers told The Verge several papers they or their colleagues had noticed appeared to cover ground already trod by other mathematicians, though were wary of saying so publicly before they had a chance to properly review the material. Others pointed to the unusual brevity of the work, with results they would ordinarily expect to be developed over hundreds of pages compressed into a few dozen or less. Nalini Joshi, a mathematics professor at the University of Sydney in Australia, said a quick search through the release revealed little that overlapped with her own work, but noted that some of the papers she examined “have short bibliographies.” Given previous criticism of OpenAI’s crediting practices, she said she is “wary that attribution in the papers may be lacking the complete story.” But for all the slop and uncertainty, the overarching consensus is that the release contains some genuinely impressive work. While stressing the difficulties assessing the volume of material — and the need to properly verify the results — numerous researchers The Verge spoke to said the work appeared to be of a very high caliber, despite shortcomings in its presentation. In a pre-AI world, they said, many of OpenAI’s results would clearly have warranted publication in top-tier journals and could have been enough to secure an academic career for their authors. A handful were described as being the kind of work that could make a mathematician a serious contender for a Fields Medal, one of the discipline’s highest honors. “I either have to read possibly-not-correct slop, or wait for others to do the same, or wait for someone to formalise them before I can say for sure that the results are even correct.” Stanford mathematician Jared Duker Lichtman said there were “tens” of results he would put in this category, including progress toward the Riemann hypothesis, a special case of the Hodge conjecture, and a solution to the four-dimensional Kakeya conjecture. These are major problems in mathematics. Riemann — arguably the most notorious unsolved problem in the entire discipline — and Hodge are both among the seven famed Millennium Prize problems. Respectively, they are concerned with the distribution of prime numbers and, very roughly, how complex geometric shapes can be understood in terms of simpler building blocks. Kakeya, meanwhile, roughly asks how little space is needed to rotate a needle or pencil in every direction. A proof to the three-dimensional version of Kakeya was among the achievements NYU mathematician Hong Wang was awarded a Fields Medal for earlier this year. “It’s not the case that these are just silly problems that no one’s ever heard of,” mathematician Scott Armstrong said. “Many of them are like very well-known problems that many people have tried for decades.” As the dust began to settle, mathematicians were left confronting a landscape that had abruptly changed around them. Many of them had just watched years of work and carefully laid research plans evaporate in an instant, or knew colleagues who had. Across the field, whether reactions were laced with excitement, dread, despair, or something in between, there was a profound sense of disorientation. By the following morning, that mood had not altered much. Speaking by phone as he walked through Paris, Armstrong imagined that, had the Sorbonne not been closed amid ongoing student protests and his colleagues were gathered around their usual coffee machine, the atmosphere would have been rather “solemn.” In Scotland, Colva Roney-Dougal, a professor of mathematics at St Andrews University, described a similarly bleak atmosphere among colleagues and students. The deluge felt somewhat “horrific,” she said, but its arrival brought some relief after weeks of uncertainty. “I have a bunch of friends and colleagues whose grant proposals have just been wiped out,” she said. “I have a bunch of friends and colleagues whose grant proposals have just been wiped out.” Armstrong said he knew of one group whose entire research program was practically “wiped out” by the release. Tristan Buckmaster, an NYU mathematician who was at the center of OpenAI’s earlier dispute over the Navier-Stokes problem, meanwhile, said he had already heard of “three people who had entire research programs obliterated.” Similar stories surfaced repeatedly in The Verge’s conversations with mathematicians, though the disruption was concentrated heavily in some areas of the field. Francesco Fournier-Facio, a professor of mathematics at Heriot-Watt University in Scotland, said researchers in probability, combinatorics, and theoretical computer science appeared “particularly in shock,” adding that some regions of his field, group theory, had been “bulldozed.” Armstrong and other researchers said some areas appeared to have been aimed at with almost military precision. “There were definitely some targets,” said Armstrong. He singled out work in the area Wang received the Fields Medal for this year, as well as several Millennium Prize problems. A cluster of results in mathematical physics, he said, makes it clear OpenAI is pursuing Yang-Mills theory — the mathematical framework underpinning much of modern particle physics — and its unresolved “mass gap” problem, one of the seven Prize problems. Elsewhere, researchers expressed a kind of surprised relief at how little their own work appeared to have been touched. Roney-Dougal said her own corner of the field — largely centered on group theory — appeared to have escaped relatively unscathed. She joked that it is fortunate she works in a “very unfashionable area,” though later messaged to say she was feeling “unsure” after finding her work cited in one of the papers. Joshi similarly found little overlap with her work, which is largely focused on integrable systems, complex systems that can be solved exactly. She suggested that may be because her field is less driven by long-standing, formally stated conjectures and definitions and more by questions that wax and wane with developments in physics. As of October 8th, that record already listed numerous corrections, including revisions on more than a dozen manuscripts and the removal of three papers due to a “sign error” it says invalidates an argument. Whether their own work had been directly affected or not, most mathematicians The Verge spoke to shared a sense that the field had crossed some kind of threshold and was no longer the same as it had been a day earlier. Constantin Kogler, a researcher at the Institute for Advanced Study, called it “the most important single moment in the history of mathematics,” while Yang-Hui He, a fellow at the London Institute for Mathematical Sciences, reached back millennia, comparing AI-driven developments this year to the publication of Euclid’s Elements, one of the discipline’s most influential works. Few researchers were quite so grand in their assessments, but there was a general consensus that mathematics was changing fast — and that mathematicians would have to change with it. OpenAI knew the release would be disruptive and had made some effort to soften the blow and engage with the mathematical community. After several bruising encounters with researchers earlier this year, the company turned to mathematicians themselves for help, working with the newly formed Advisory Group on Mathematics and Artificial Intelligence (AGMAI) on how to release the results responsibly. AGMAI had already laid out what it believed responsible engagement would be. AI labs should ideally release papers “that a human understands” or otherwise provide the necessary “support for the additional mathematical activities that are needed for humans to be able to understand and assimilate their AI-generated mathematical output and identify possible applications of it.” They said that, where possible, proofs should be formalized, and that companies should make public what models and prompts they used to create them. The group also urged AI labs to stop treating mathematical releases as “marketing vehicles to promote their models” and should “stop testing advanced mathematical problems on proprietary models” that are inaccessible to the broader scientific community. “It’s not the case that these are just silly problems that no one’s ever heard of. Many of them are like very well-known problems that many people have tried for decades.” OpenAI followed some of the group’s advice. It said it would be funding a series of workshops and conferences around its work in mathematics to help the community process and understand its work, though it provided no details as to what these might look like or when they may occur. The company also disclosed significantly more information than it had in previous releases — again, researchers said this was a low bar — including that its model attempted more than 4,000 problems and that a typical result used around three hours of ChatGPT Pro thinking compute. It has also implemented “protocols for paper revisions and citations” and on GitHub said it “will preserve the public release history” of the collection. As of October 8th, that record already listed numerous corrections, including revisions on more than a dozen manuscripts and the removal of three papers due to a “sign error” it says invalidates an argument. OpenAI did not respond on the record to The Verge’s request for more details. That change addresses a key source of friction with mathematicians, some of whom speak of a kind of “paranoia” around the company’s published claims. The company has shown a habit of surreptitiously altering press releases and papers in response to criticism without clearly disclosing those changes. But OpenAI did not follow all of the group’s recommendations — including some of its most consequential. It did not identify the model behind the release nor did it disclose the prompts used or the full set of problems the model attempted. OpenAI also appeared to acknowledge that its formalizations were lacking — it said it will add more as it obtains them — and that papers were subpar, saying that “for future releases, we are committed to further improving the quality of the papers via the citations, mathematical exposition, and presentation of the results for better understanding.” “The write-up of the problem I know best made little sense after a quick read.” Researchers The Verge spoke to questioned why OpenAI couldn’t have improved the quality of these papers and expressed disappointment that it seemingly couldn’t be bothered to formalize — or even check, in the case of the retracted papers — many of the results ahead of time. Information like the prompts used would have also been incredibly useful in lessening what many felt was the burden of assessing the flood of material the company suddenly dropped on them. Most importantly, the company indicated it has no plans to stop testing its models on mathematics problems, and indeed suggested it sees doing so as an imperative. “We want to directly empower scientists with state-of-the-art capabilities and are working to responsibly release the model that produced these results,” it said when announcing its latest results. “This is why it is important to continue to evaluate our internal frontier models on mathematics and other sciences, so we can accelerate developing the tools to advance those fields.” After OpenAI offloaded its results, AGMAI described the publication as “a first step,” and reiterated calls for equitable access to compute and research tools. More fundamentally, the group argued that “the future of mathematical research cannot consist only of understanding results produced by AI labs.” For all the hundreds of long-standing problems OpenAI claims to have solved, mathematicians say there is an extraordinary amount of work to be done. Many estimated that making sense of everything the company just released could take the community years. Armstrong likened the sudden arrival of so much new mathematics to the commotion that might follow a brief extraterrestrial visit. “If the AIs would disappear now, as though there were aliens that came to Earth and then just left, we would be studying this for the next 10 years, trying to understand everything.” Much of that will be exciting in its own right. Researchers will have to fill in gaps, extract useful ideas and connections, and place solutions in a broader mathematical context, all things that typically go hand in hand with producing solutions for humans. “For many of these results, relevant experts care deeply about the solutions and I am confident that they will be able to digest and present them to the wider world,” Lichtman said. Work involving explaining, verifying, and contextualizing results will need to be valued more as AI changes the fields, he argued. “As a society, we should be rewarding these digestive efforts more.” There may be plenty of mathematics left for humans to do, too. As far as he could tell, Lichtman said all of the results, “amazing” as they are, come “out of existing methods and techniques.” They fill in parts of the known mathematical landscape rather than creating entirely new ones. “It turns out there is a lot more room to fill in than experts previously knew!” Lozano-Robledo echoed the point: “They are all using existing techniques in very ingenious ways.” And the existing map is hardly the limit. “Math research is essentially infinite,” Lozano-Robledo said. “Research will go on.” The London Institute’s He said he was particularly excited to see what emerges next, speculating that researchers may end up creating new ideas and “maybe even new fields of math.” The companies seem ready to move on instantly, long before the community has had any reasonable chance to digest what they’ve produced. Few mathematicians The Verge spoke to objected in principle to AI producing new mathematics. Indeed, many welcomed it and, to varying degrees, said they were enthusiastic users of AI tools themselves. Most of the unease was directed at how the AI companies building those tools were going about entering their field. Looking at the mathematical releases of OpenAI and other AI labs, you’d be forgiven for thinking that research mathematics essentially amounts to checking problems off a list. The manner in which AI labs unveil their results reinforces this idea: a flashy announcement, a preliminary write-up, and the rest tossed to mathematicians to figure out and contextualize. Multiple researchers told The Verge that the companies seem ready to move on instantly, long before the community has had any reasonable chance to digest what they’ve produced. Researchers described that as an impoverished view of how mathematical research actually functions. Solutions certainly matter, but so does everything that happens on the way to finding them: developing ideas, making connections, and finding new questions or opening up other avenues of research. When companies like OpenAI just find answers without doing any of the surrounding work, mathematicians say the burden of doing so falls back on the community. “It’s nice to have new results, but this scale is a different level,” said Bartosz Naskręcki, a mathematician at the Adam Mickiewicz University in Poznań, Poland. “It’s a big mess,” he said. “It can cause a huge collapse in the academic culture and simply kill most of the faculties. It’s a social problem and it seems that the AI labs are completely ignoring this issue.” It’s not just the mathematics that will take years to understand. Researchers are also struggling to comprehend what the upheaval means for them. Many described a bleak, almost existential mood hanging over the community as mathematicians decipher where they fit in the rapidly changing field. They may not have much time to figure it out. Rumors are already circulating among mathematicians about further releases from OpenAI, which did not respond to The Verge’s questions about whether more are planned. Roney-Dougal said she dreaded another drop — or the prospect of Anthropic or another AI lab entering the fray. The disruption is hitting PhD students, junior researchers, and others without permanent tenure particularly hard. Open problems like the ones OpenAI’s models are plowing through can underpin dissertations, grant proposals, job applications, and years of planned research, all important building blocks for academic careers. Several researchers described an increasingly pervasive anxiety that the work they are building their careers around could suddenly be next and that the AI models generate few avenues for future inquiry as they close off others. “For someone at the end of funding or looking for a job now this is incredibly disruptive,” said Simon Machado, a mathematician at ETH Zurich in Switzerland who is joining the French National Centre for Scientific Research (CNRS). “Math research is essentially infinite. Research will go on.” Morale may be particularly low because everything feels relentless. OpenAI’s findings have arrived in increasingly large waves, with little pause between them and frequent indications from the company that yet more are on the way. “You get a sense that they don’t really care about these individual results,” Roney-Dougal said. “It’s a really nasty feeling.” Mathematicians barely have time to digest one set of results before the next, bigger set is dropped on them. “There’s going to be something in two more months that’s going to blow this away,” Armstrong said. “It’s just, like, repeated strikes by bigger and bigger bombs.” Armstrong said he considers himself among the mathematicians most enthusiastic and optimistic about AI. He uses the technology in his own work and believes it has great potential. But even he is growing increasingly uneasy. “It is kind of hard to sleep at night,” he admitted. Asked what he planned to do next, Armstrong was less certain. Still walking through the streets of Paris on his way to get lunch, he said his immediate priority was to finish some work he’d been doing — sometimes with the help of OpenAI’s Codex — “before OpenAI scoops us.” Beyond that, even the self-described AI optimist was unsure and questioned what kind of future there was for him in mathematics. He worried particularly about the young researchers in the field. “It’s going to be a really weird few years in math,” he said. Most Popular - Anthropic bans ‘abusive or cruel behavior’ toward Claude - GTA VI leaks continue with a lengthy (and very nude) gameplay video - Apple announces surprise ‘Welcome home’ launch event - Hands-on with Amazon’s Alexa Tablet 12 Pro and its wild new matte display - Amazon is phasing out Fire Tablets because they weren’t ‘giving customers what they were asking for’

« Une forme de torture » : l’annonce de l’exécution publique d’un condamné à mort par l’administration Trump remue l’Amérique Le Parisien

Oct. 9, 2026, 7:01 p.m.

« Une forme de torture » : l’annonce de l’exécution publique d’un condamné à mort par l’administration Trump remue l’Amérique

Arrivée du quinté du 9 octobre à Vincennes : Indien de Fontaine fait la danse de la victoire Le Parisien

Oct. 9, 2026, 6:56 p.m.

Arrivée du quinté du 9 octobre à Vincennes : Indien de Fontaine fait la danse de la victoire

En mourant, la mer Morte est en train de créer son propre climat aux conditions extrêmes Slate

Oct. 9, 2026, 6:55 p.m.

La mer de sel perd chaque année un peu plus d'eau. Mais, selon une nouvelle étude, son assèchement contribue également à réchauffer les eaux.

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Les scientifiques ont percé le secret de longévité du plus vieil animal terrestre, une tortue de 194 ans Slate

AI coding agents generate more code, but not more software Arstechnica

Ohio blogger found guilty of harassment for sending Shrek nude to senator The Verge

Attacker in FlyDubai Flight Meant to Crash Into Israeli Airport, Emiratis Say NYTimes world

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« Une forme de torture » : l’annonce de l’exécution publique d’un condamné à mort par l’administration Trump remue l’Amérique Le Parisien

Arrivée du quinté du 9 octobre à Vincennes : Indien de Fontaine fait la danse de la victoire Le Parisien

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