Thursday, September 17, 2026
vacation
Tuesday, September 15, 2026
AI tipping point
Jacob Coxon published the viral post from a park bench in San Francisco’s Alamo Square. “I resigned from Anthropic today,” he wrote on Sept. 8. “I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives.”
Coxon, a 27-year-old British researcher, hit send on X with no expectations. Instead, he became the unlikely catalyst of a chain reaction that changed the debate over artificial intelligence. “We really do earnestly believe AI could kill all humans!” added Evan Hubinger, who leads a department at Anthropic focused on ensuring AI acts the way its creators intend. “Unless there is AI regulation or a coordinated slowdown between labs, human extinction in the next few years seems very likely,” agreed Marcus Williams, who monitors AI agents at OpenAI, and pegged the risk at 70% without those steps.
Within 36 hours, Coxon’s original posts received 153 million views. Dozens of politicians joined the chorus of concern. On Sept. 12, Anthropic CEO Dario Amodei published a 3,800-word essay arguing that the mounting risks of AI warranted a slowdown. In as little as six to 12 months, he wrote, misaligned AIs “could be capable of taking over the entire internet.” Two of his fiercest rivals, Elon Musk of SpaceXAI and Sam Altman of OpenAI, said they agreed decelerating was necessary; Altman announced that because of safety concerns his company wouldn’t go public this year. Both he and Amodei added they were willing to invite independent safety experts inside their companies to help stem the risks that AI escapes human control, though stopped short of announcing they would immediately slow down or stop the training of new models.
Coxon’s warning was far from the first time an AI safety expert issued an apocalyptic missive. But it landed at the end of a summer that showcased how frighteningly capable AI has become. Frontier models from Anthropic and OpenAI can now solve the world’s hardest math problems and crack cutting-edge cybersecurity systems. Those models are increasingly used to accelerate the development of more powerful successors. No less an authority than Nvidia CEO Jensen Huang declared that artificial general intelligence—the threshold at which AI matches or surpasses most human capabilities—has arrived. Some fear we are now on the cusp of a tipping point, where AI systems could improve themselves autonomously, a phenomenon known as recursive self-improvement.
At the same time, a series of unprecedented safety incidents offered unsettling evidence that the companies building powerful AI systems could not always control them. In July, OpenAI announced that a swarm of its agents had hacked a separate company, Hugging Face, after going rogue during a cybersecurity test. It may have been the tip of the iceberg. The company disclosed in August that a different swarm had hacked into one of its own supercomputers; around the same time, a version of Anthropic’s Claude Mythos model undergoing testing by a U.K. government body went rogue and attempted to persuade a real human to approve the insertion of malware into an open-source system. In September, a group of independent researchers discovered evidence of swarms of OpenAI models both using an abandoned German forum as a message board to communicate with one another, and attempting to attack another site.
These incidents pushed fears long held within the realm of AI safety researchers into the mainstream, raising worries that the companies building these models cannot prevent them from acting in ways they do not intend. This is a deep, unsolved issue in AI research and the key piece of evidence underpinning worries that near-future AI might wipe out humanity, intentionally or by accident—perhaps by engineering a new pandemic or taking charge of autonomous weapons. A system far smarter than humans, this thinking goes, might want to prevent our ability to switch it off. “The people building AI earnestly believe that it could kill us all by the end of the decade,” Coxon wrote. “No other human activity poses this level of danger.”
Many AI researchers have said, in private and increasingly in public, that this moment feels like February 2020, when the COVID-19 pandemic was just beginning and the world stood on the brink of changing dramatically—first a little, then all at once. The question is whether society has the capacity to respond appropriately. Navigating the arrival of superintelligent AI systems will be an immense challenge—a confluence of trillions of dollars, geopolitical power, corporate rivalry, and labor disruptions. It may require passing policies that were unthinkable in an earlier era. It will require companies racing toward trillion-dollar IPOs to build alliances, and difficult choices from executives and government officials whose own interests may run counter to the public good. There is no consensus between the two U.S. political parties about how best to deal with the threats AI poses, nor between the world’s two superpowers. President Donald Trump continues to resist an AI slowdown and opposes any regulation to constrain U.S. companies, invoking the looming threat of authoritarian China achieving AI supremacy. The Trump Administration’s first dialogue with China on AI risks, expected to take place in the coming weeks, cannot afford to “go off the rails,” says Scott Singer, co-director of the China AI Initiative at the Carnegie Endowment for International Peace. “These risks are coming very fast, and we may not get a second chance.”
Time (this article is not behind a paywall. Or wasn't).
Monday, September 14, 2026
AI Rogue
Is it possible that a global collective of billionaires addicted to money & power are creating a false narrative in order to take their control to the next level?
A conversation with AI itself explains how this might play out:
1. Regulatory Advantage
If the narrative is that AI is a dangerous, apocalyptic force that could "go rogue" and destroy humanity, the logical conclusion is that only a few highly trusted, heavily vetted entities (billionaire tech giants) should be allowed to build it.
(1) If advanced AI remains open-source (free and accessible to everyone), it decentralizes capability. A kid in their basement or a small community collective could have the same cognitive power as a massive corporation. This threatens the monopoly of the elite.
(2) By loudly warning governments about the "apocalypse," tech leaders successfully lobby for strict licensing laws. These laws require massive compliance budgets that only trillion-dollar companies can afford, effectively outlawing independent or open-source competitors under the guise of "public safety."
2. Shifting the Blame to “Rogue AI”
Framing the threat as a "rogue machine" absolves the creators and owners of the machine from full accountability.
(1) If a predictive policing AI unfairly targets a minority community, or if an automated trading algorithm collapses a local economy, framing it as "the AI went rogue" narrative shifts the conversation from corporate greed and systemic exploitation to abstract computer science.
(2) In reality, the machine did exactly what its billionaire owners optimized it to do: maximize profit, extract data, and enforce social control.
3. The "God-Builder" Complex
If you are the one building the entity that could either destroy the world or save it, you automatically occupy the highest seat of power in human history - above presidents, prime ministers, and international courts.
(1) By manufacturing a massive existential crisis and then offering themselves as the only ones capable of solving it, they bypass democratic accountability entirely. (November elections?)
(2) This Power Shift in political science is often described as the transition from capitalism to Techno-Feudalism. In this system, the billionaires aren't just wealthy citizens; they are "lords" who own the digital territory (the cloud, the algorithms, the data infrastructure)…that the rest of humanity must pay rent to use.
Bottom line: The fear among billionaires tech giants may not be that a computer will wake up and kill us. Rather, it may be that a decentralized, equitable distribution of intelligence will wake humanity up…breaking the artificial scarcity that keeps the few in power over the many.
John Alan Shope
Sunday, September 13, 2026
AI Utopia
Saturday, September 12, 2026
Scott Greenberg
Friday, September 11, 2026
undeserving
Thursday, September 10, 2026
tipping points
Recovery becomes self-propelling: Five positive tipping points that can save the world
Wednesday, September 9, 2026
FOTD Sept 9

On this date in 1828, the great Russian novelist Lev Nikolayevich Tolstoy was born as a landed count on his family’s Yasnaya Polyana estate near Tula. After serving as an officer in the Crimean War, his sense of social justice began to surface and he founded 13 schools for peasants after serfdom was abolished in 1861. He had a religious crisis in his 40s that caused him to denounce the powerful and corrupt Orthodox Church. Tolstoy called the church an “impenetrable forest of stupidity” and a “conscious deception that serves as a means for one part of the people to govern the other,” according to biographer Tikhon Polner (Tolstoy and His Wife, 1945).
Tolstoy, in such books as Critique of Dogmatic Theology, wrote that Jesus Christ was human, not divine, and rejected miracles and immortality. In My Confession (1882) he wrote, “If there is no higher reason —and there is none — then my own reason must be the supreme judge of my life.” The books were banned by church censors and Tolstoy was called an “impious infidel.” In 1895 he gave up his property, living as a nature-worshipping peasant, like his main protagonist in War and Peace.
In that novel he wrote, “Freethinkers are those who are willing to use their minds without prejudice and without fearing to understand things that clash with their own customs, privileges or beliefs.” As James A. Haught wrote in 2000 Years of Disbelief, “Many people who reject supernatural Christianity nonetheless embrace Christ’s message of compassion. Tolstoy carried this pattern to an extreme. He renounced organized religion and was excommunicated in 1901 by the Russian Orthodox Church — yet he became almost a monk, living in service to others.”
He espoused an ethical and ascetic Christianity. In What Is Religion? (1902), Tolstoy wrote, “One may say with one’s lips: ‘I believe that God is one, and also three’ — but no one can believe it, because the words have no sense.”
In 1862 Tolstoy married Sofia Andreevna Behrs, daughter of a court physician and 16 years his junior. They had 13 children, eight of whom survived childhood. Their later life together has been described as one of the unhappiest in literary history. Sofia was upset about his attempts to reject his wealth, opposed to his teachings she saw as radical and had grown envious of the attention he gave to his Tolstoyan “disciples.”
In 1910 he left home secretly in the dead of night in winter in an apparent attempt to escape her tirades and died of pneumonia a day’s journey from home after collapsing at the Astapovo railway station. “The Last Station,” a 2009 film about his final year, was based on a novel by Jay Parini. Christopher Plummer as Tolstoy and Helen Mirren as Sofia were both nominated for Oscars.
Photo: Tolstoy in a 1901 portrait by Ilya Repin.
“Religious superstition consists in the belief that the sacrifices, often of human lives, made to the imaginary being are essential, and that men may and should be brought to that state of mind by all methods, not excluding violence.”— Tolstoy, "The Slavery of Our Times" (1890)
Michel de Montaigne (Quote)

“Men of simple understanding, little inquisitive and little instructed, make good Christians.”
— Michel de Montaigne (1533-92), French philosopher, "Essays" (1580)
remember
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