OpenAI just published a new Codex use-case page, and it’s basically a catalog of what teams are already handing over to coding agents: engineering work, product work, QA, security, data analysis, internal tools, and even life-sciences workflows.
Some of the coolest examples:
⬩ Reviewing GitHub PRs and understanding large codebases
⬩ Turning screenshots or visual references into responsive UI
⬩ QA-testing apps by clicking through real user flows
⬩ Refactoring legacy code, running migrations, and fixing vulnerability backlogs
⬩ Drafting PRDs, analyzing datasets, building internal apps, and assisting life-sciences research
This is what coding agents look like when they stop being a demo and start becoming part of daily work.
Swap the phones for newspapers and this is a subway photo from 1920.
A sociologist named Erving Goffman described exactly this in 1963. He called it civil inattention: the learned habit of acknowledging that a stranger exists, then pulling your attention back so you don't intrude on them. A quick glance, then you look away. In a space packed with people you will never see again, looking away is the courtesy.
It's the quiet contract that lets a few hundred strangers share a tight platform without friction. You signal "I see you, you're no threat, I won't bother you." Phones slotted neatly into that ritual. They are the most convincing prop anyone has ever had for performing it.
The newspaper did the same job for a century. Subway photos from the 1920s through the 1970s show entire rows of riders vanished behind broadsheets, every face covered, nobody speaking. Radio got blamed for ending conversation. So did the Walkman. So did the cheap paperback before either of them. Each new object inherited the same eulogy: this is the thing that finally isolated us.
Connection on a subway platform was always rare. Strangers waiting for a train kept to themselves long before anyone had a screen to disappear into. The phone's real footprint is at the dinner table and in the living room, the places where idle attention used to have nowhere to go and now always does.
The behavior in this photo is a hundred years old. The object in everyone's hands is the only part that keeps getting replaced.
🚨 | POLITICO publica en exclusiva:
La red que intentó evitar una postura fuerte de la administración Trump contra Maduro, y que hizo todo lo posible para que EEUU normalizara sus relaciones con Venezuela:
- El empresario asfaltero Harry Sargeant, amigo personal de Trump, recibió malas noticias cuando el presidente designó a Marco Rubio como secretario de Estado y a Mauricio Claver-Carone como enviado especial para América Latina.
- Si EEUU retomaba una postura fuerte contra el régimen chavista, podía perder uno de sus negocios más jugosos.
- Por ello, Sargeant empezó a conspirar para intentar imponer a alguien sobre Rubio y Claver-Carone: al diplomático Richard Grenell.
- Sargeant contrató a un excongresista de Illinois, Aaron Shock, para diseñar una estrategia que elevara a Grenell sobre Rubio.
- Juntos, Sargeant y Shock acordaron reuniones que le permitieron a Grenell negociar una liberación de presos políticos estadounidenses en Venezuela. Esto le daría puntos a Grenell que opacarían a Rubio.
- Como la operación de liberación de presos políticos para ayudar a Grenell no impuso la agenda de Sargeant, él, Shock y un consultor político, Benjamin Papermaster, organizaron a un grupo de inversionistas y tenedores de bono para financiar una campaña mediática que estuvo todo el 2025 presionando a la administración Trump para que negociara con Maduro y marginara su política de máxima presión: Shock enlistó a la “periodista” Laura Loomer (que intentó sacar a Claver-Carone).
- Por todo esto, el FBI está investigando a Sargeant. Según una fuente del Departamento de Justicia, los esfuerzos de Sargeant de amoldar la política exterior de Trump no quedarán “impunes”.
- - - -
- Sargeant vio sus múltiples negocios en Venezuela afectados por la política de presión y sanciones de Trump. Sargeant, quien se hizo amigo de Maduro y también era cercano a Trump, y donante de su campaña, empezó un esfuerzo para buscar que el presidente relajara su postura ante el régimen chavista.
- Sargeant se favoreció de la administración Biden, que estaba relajando la presión contra Maduro tras varias negociaciones que resultaron infructuosas.
- Llegó Trump en enero del 2025 y eligió como secretario de Estado a Rubio. En la esperaba estaba Grenell, quien quería el cargo.
- Luego, Trump designó a Grenell como enviado especial para varias misiones, entre ellas Venezuela. En ese momento se armó un conflicto inevitable: Rubio y Grenell, quien esperaba quitarle el puesto.
- Entonces, Sargeant contrató al excongresista Shock, quien se había hecho amigo de Grenell porque formaba parte de “círculos de republicanos gays”.
- Shock le decía a la gente que él había sido contratado como enlace con Grenell y que su misión principal era ayudar al diplomático a tumbarle el puesto a Rubio.
- Inmediatamente empezada la operación, Grenell logró concretar una tarea que normalmente tomaría mucho esfuerzo: la liberación de estadounidenses detenidos en Venezuela. Ello fue programado para el 31 de enero del 2025, para opacar el primer viaje de Rubio para América Latina.
- A Venezuela también viajaron juntos Shock y Sargeant. Discutieron con la entonces vicepresidente, Delcy Rodríguez, que Maduro liberara todos los presos estadounidenses a cambio de que Chevron volviera plenamente a Venezuela. Además, querían algo más: que Venezuela aceptara vuelos de repatriación.
- Sargeant luego organizó un encuentro entre Maduro y Grenell, donde se sellaría el acuerdo.
- Sin embargo, el “triunfo” de Grenell en Caracas no duró mucho. Los congresistas cubanosmericanos republicanos de la Florida exitosamente lograron que la administración volviera a imponer las sanciones a cambio de su apoyo a un proyecto de ley de Trump.
- Mientras, Rubio se iba poco a poco consolidando como el mejor funcionario de la administración. Y Grenell iba siendo marginado (encomendado a tareas menores como los incendios de California). Y Sargeant perdió su licencia en Venezuela poco después.
(SIGUE)
A careless code blunder just blew the lid off Beijing’s multi-million dollar AI propaganda operation targeting the West. France's digital interference watchdog, Viginum, has officially exposed "Fawn Mianju," a covert network of 13 multilingual fake news sites running on advanced automation and generative AI. The sophisticated network was completely compromised after a computer engineer working as a Senior Project Manager at China's state-run CGTN Digital accidentally left his login credentials exposed in the code.
This operation, which expanded on findings first uncovered by U.S. cybersecurity firm Graphika in 2025, operated with deep financial backing. The domains were registered in Beijing, hosted on Alibaba Cloud, and utilized expensive infrastructure alongside paid plugins to artificially manipulate search engine rankings. Using digital keys linked directly to AI language models, the network automatically scraped CGTN articles, lightly rewrote them, and republished over 2,300 articles, often within less than an hour of the original state media broadcast.
Sites like the French-language "Actu Méridien" were weaponized to manipulate public opinion across 89 countries, heavily targeting Western audiences and Francophone African youth. The articles aggressively peddled pro-Beijing narratives, painting China as the undisputed leader of the Global South and green energy transition while explicitly telling Western readers that aligning with Chinese interests would bring them massive benefits.
Despite the cutting-edge tech and heavy state funding, the operation was an organic flop. The articles struggled to breach 15,000 views, with nearly 40 percent of its top social media engagement traced back to fake accounts in Burundi whose sole purpose was to artificially inflate the content. While the reach was limited, French authorities warn that the operation exposes Beijing’s rapidly escalating capability to launch fully automated, stealth disinformation campaigns designed to quietly erode Western democratic alignment.
#Disinformation #CyberSecurity #France #China #AIPropaganda #Geopolitics #Viginum #NationalSecurity
The same country that put humans on the Moon in 1969 now takes an average of 4.5 years to approve major infrastructure permits.. longer than it took to build the Panama Canal.
Transmission lines average 10 years from permitting to completion. The bottleneck to abundance is not technology, but BUREAUCRACY!
Los amigos comparten más genes entre ellos que con otras personas, incluso después de controlar por etnia o antepasados comunes.
Los humanos forman amistades con personas genéticamente más similares de lo esperado por azar, con un nivel de similitud equivalente al de primos cuartos. Este estudio demostró una homofilia genética a lo largo del genoma: los amigos tienden a compartir más variantes genéticas (SNPs) que extraños. Esto sugiere que la amistad actúa como una forma de “parentesco funcional”. Además, ciertos genes muestran heterofilia (diferencias), y los SNPs más homofílicos presentan mayor evidencia de selección natural positiva reciente, indicando que elegir amigos similares ha sido evolutivamente ventajoso.
Entre los conjuntos de genes más relevantes destacan tres:
- Olfativa (transducción olfativa) → Homofilia: genes relacionados con el olfato; las personas que “huelen” el mundo de forma similar tienden a ser amigos.
- Metabolismo del ácido linoleico → Homofilia: metabolismo de grasas y sustancias ingeridas; posible ventaja en preferencias alimentarias o metabolismo.
- Sistema inmune → Heterofilia: respuesta inmune; ventaja en complementaridad (resistir diferentes patógenos).
En conjunto, estos hallazgos indican que los amigos no solo se eligen por rasgos claramente visibles, sino también por una compatibilidad genética sutil a nivel molecular que no es directamente perceptible, la cual favorece tanto la sinergia (cuando son similares) como la complementariedad (cuando son diferentes en lo clave), influyendo en la evolución humana reciente.
Boeing's 6th-Gen Stealth Fighter F-47 Phoenix Based on Northrop Grumman's "Christmas Tree" Fighter Concept Crafted 1983 by Darold Cummings (Designer of the YF-23 Black Widow)
Yesterday, we have seen a first video release of the X-Plane demonstrator for @Boeing's new 6th-gen stealth fighter F-47 Phoenix which is obviously based on @NorthropGrumman's "Christmas Tree" fighter concept crafted 1983 by Darold Cummings, the chief-designer of the joint Northrop Grumman - McDonnell Douglas (Boeing) stealth fighter demonstrator YF-23 Black Widow.
The latest 2025 renderings by Reddington777 from https://t.co/7lkgloc2Yw and @RodrigoAvella are amazingly close to what we have see yesterday in the video released by @ProjectFearX. You can find 22 high-resolution images on Rodrigo's project page named "F47 Concept - V4" at https://t.co/hVx7vjOEvY
These are amazing synchronicities. So will the Trump administration allow us to see new F-47 details just before the start of the next @NATO Summit in Ankara from 7-8 July 2026?
We don't know but there is an almost unnoticed video from Pratt&Whitney which was released by @RTX_News on 24 June 2025 without an official press article just before the start of the @NATO Summit in The Hague from 24-25 June 2025 and shows an interesting front view for F-47 type of next-generation fighter: P&W XA103 https://t.co/1SZBXpOQpj
On 18 February 2026, RTX released the official press article "Fast-tracking the fighter jet engine of the future: How Pratt & Whitney is using digital tools to speed development of its adaptive engine" with a video of the XA103 engine inside a hypothetical design of the Next-Generation Air Dominance (NGAD) fighter. The XA103 engine is currently under development for the @USAirForce's Next Generation Adaptive Propulsion (NGAP) program: https://t.co/m05HoHHaHC
Is this maybe the final production version of the F-47 Phoenix?
It has at least amazing similarities with a design presented by Darold Cummings for a F-47 Navy version named F-47N. See here for more details:
https://t.co/S4pB5yqCGN
Darold writes that he "used (his) original F-47 wing planform, and added a canard for more low speed lift and control. The canard design (inspired by the X-36), coupled with the Multi-Axis Thrust Vectoring (inspired by the X-44), provided a very reasonable first cut at a Navy version. In general, a canard layout has been treated as adding more radar signature to a fighter.
However, on the YF-23 we found that if the all-moving surface (it was a V-tail on the YF-23) was kept "ported", in this case aligned with the wing plane during cruise, the impact on LO was not a large impediment to signature reduction. The ability to keep the canard ported is achievable using thrust vectoring for trim in cruise and penetration modes."
Regarding the "Chrismas Tree" Fighter Concept, please have a look at
https://t.co/v48tVZZX6Z
Analysis and Composition by
B. Göksel from Electrofluidsystems
6 June 2026
@Aviation_Intel@TheNewArea51@TheWarZoneWire@TolgaOzbek_com@ValkStrategy
#Area51 #Boeing #F47 #F47Phoenix #Phoenix #ProjectFear #StealthFighter
GPT-5.6 New Checkpoint
- A new GPT-5.6 checkpoint, kindle-alpha, is currently being tested internally
- It appears to have selected kindle-alpha as the current release candidate for GPT-5.6
- Frontend generation has improved significantly, producing much stronger outputs without requiring heavy prompting or skills
- Vision capabilities also look strong, performing well on image understanding and image referenced tasks
- Overall output quality appears noticeably better, with improvements across reasoning, coding, and UI generation
- Expect GPT-5.6 launching later this month
PSA: Do not open your windows in Waymos.
I was assaulted and robbed in a Waymo in the Mission District.
I was punched three times in the face and head. Waymo treats criminals as pedestrians and stops moving, leaving you vulnerable.
They gave me 5 free rides tho
PSA: Do not open your windows in Waymos.
I was assaulted and robbed in a Waymo in the Mission District.
I was punched three times in the face and head. Waymo treats criminals as pedestrians and stops moving, leaving you vulnerable.
They gave me 5 free rides tho
Quelques explications sur l'évènement d'aujourd'hui à bord de l'ISS.
Le problème se situe dans la Chambre Intermédiaire (PrK) du module russe Zvezda. C'est le petit espace à l'arrière du module qui donne accès à la pièce d'amarrage où arrivent les vaisseaux Progress. 1/n
you're telling me anthropic & google are paying spacex ~$26b a year for compute?!!
this is more than half the run rate of openai & anthropic just from compute deals & that doesn't even factor in the rocket launches at all.
elon accidentally ended up owning a significant portion of three of the scarcest assets in ai.. power, chips, & physical deployment capability. the best lesson here is that if you’re selling picks & shovels during a gold rush, you don’t necessarily need to find the gold. you just need everyone else to keep digging. & also non software elon is pretty much unstoppable, like prime michael jordan type thing.
Remember a couple weeks ago when everyone was saying a 100x price/sales was crazy for SpaceX and all of a sudden it’s like 39x? Shows how dumb that type of analysis is 😅
While I’m no fan of socialism or arbitrary confiscations of wealth, I can see why Bernie Sanders’ proposal (for the government to take a 50% stake in AI companies) resonates, including with many on the right.
The CEOs of the leading AI labs have told us repeatedly that they will cause massive job loss. This is not a story that I believe, nor does the data bear it out, but this is what they have told us. Similarly, they have hyped the risks of AI without putting an equal or greater emphasis on the benefits or readily available mitigations.
Conservatives have another fear. The employees of the leading labs claim to be philanthropic, but what we’ve seen is massive enrichment of NGOs advancing an agenda at odds with traditional values, fueling a revolution against our cities and communities. Soros-maxxing is not charity in our book.
Anthropic and OpenAI have established themselves as Public Benefit Corporations. What could be more in the public benefit than using half the wealth generated by these companies (which trained for free on the collective knowledge of humanity) to pay down the national debt? There is no ideological bias in that philanthropy.
Dario and Sam have begun to walk back their claims of massive job loss, but the damage to public trust is done, and now the chickens are coming home to roost. I could almost support the Sanders proposal as a stupidity tax.
There’s just one problem. Nationalization of AI will accelerate the corporate-government fusion we’re already sliding toward. Conservatives rightly fear a Central Bank Digital Currency. They ought to be even more concerned about Central Government AI — a system with even more totalistic power over information, decision-making, and human behavior.
We saw how social media was weaponized to censor conservatives (including President Trump) in the last Democrat administration. The definition of “trust & safety” expanded to mean protecting the public from supposed psychological harms, micro-aggressions, and disinformation (you know, like hearing conservative ideas or true facts about Covid).
That “safety” agenda as applied to AI will be vastly more powerful and Orwellian. AI won’t just moderate posts; it will curate reality — with the ability to rewrite history, enforce ideological conformity, influence policy at scale, mass surveil Americans, and condition the benefits of the many systems it controls on approved behavior.
America won’t win the AI race if we beat China but end up with a CCP-style social credit system in the U.S. — and that is the danger as the government becomes more deeply involved in AI development and assumes direct ownership and control.
Conservatives are right to fear where this is all headed but ought to think more carefully about how regulations they are flirting with now (that are widely celebrated among those with a long history of lust for Big Government) will be used against them the next time a Democrat administration is in power.
SpaceX has just announced that they have entered into a $920 million per month agreement with Google to provide compute capacity, according to a new filing.
"On June 5, 2026, we entered into a Cloud Service Agreement with Google with respect to access to compute capacity. The customer has agreed to pay us $920 million per month from October 2026 through June 2029, with capacity ramping up through September at a reduced fee. The compute capacity provided includes approximately 110,000 NVIDIA GPUs, CPUs, memory, and other related components.
After December 31, 2026, the agreement may be terminated by either party upon 90 days' notice. The customer will retain ownership of, and intellectual property rights in, its content, Al models, and related data."