Thursday, September 17, 2026
vacation
Wednesday, September 16, 2026
AI apocalypse
AI could kill all humans in next decade, warn experts: but how seriously should we take them?

These warnings were issued over the past 48 hours on both sides of the Atlantic about the potential impact of a technology that most people still think of as a more talkative search engine.
Some of the threats were raised in the UK as MPs and peers began to wrestle with the danger of AI outperforming human capabilities. The nuclear warnings came from Des Browne, a former defence secretary, and Prof Stuart Russell, an eminent Berkeley computer scientist.
Beatrice Fihn, who won the 2017 Nobel peace prize for leading the International Campaign to Abolish Nuclear Weapons, told parliamentarians: “It is not the first time we’re confronted with abilities that could end up killing us all.”
The session on Monday (Sept 7) was convened by Control AI, a lobbying group pushing for international regulation of the technology. It is backing a bill tabled in parliament this week by the Labour MP Alex Sobel and aimed at banning the creation of artificial superintelligence (ASI).
On Tuesday night (Sept 8), a senior employee at Anthropic admitted he believed there was a greater than 10% chance the technology could “kill all humans” in the next decade and warned that his AI company did not have a plan to ensure ASI was aligned, meaning it did no harm. Predictions for when ASI might be reached vary from several years to more than a decade.
Evan Hubinger, alignment science lead at Anthropic, posted the comment after Jacob Coxon, a 28-year-old researcher at the San Francisco company and previously at OpenAI, resigned, claiming “neither company was acting responsibly”. He said they were “gambling with our lives”.
Coxon said the risks at Anthropic were well understood but they were “locked in a race to get there first”. In a glimmer of hope, he added that he was optimistic about the potential for coordination between US labs on pacing their progress in the race.
Anthropic has been approached for comment on the issue. OpenAI pointed to a statement from its chief scientist, Jakub Pachocki, who said last week: “International coordination on future AI development needs to become a top priority for governments around the world.”
The push for wider coordination to control ASI was at the heart of events at Westminster this week. According to the Financial Times, government officials voiced concern that Anthropic had declined to submit its latest model – Mythos 5.1 – to the UK’s AI Security Institute for pre-release testing.
Only a few US organisations have had access to Mythos 5.1, the Cabinet Office confirmed. A spokesperson added: “The AI Security Institute continues to collaborate closely with industry partners, including Anthropic.”
The Labour MP Darren Jones has written to the prime minister, Andy Burnham, and the heads of the UN and the OECD calling for a “multinational treaty for the regulated and safe development of superintelligence – not a ban on innovation or scientific endeavour but a safety-first approach to the rapid development of this technology”.
Citing Coxon’s resignation, Jones added: “The debate ranges from the end of humanity to claims of ‘marketing hype’. Either way, governments must now step in.”
On the other side of the Atlantic, Bernie Sanders ratcheted up his AI safety campaign this week by again calling on Congress to regulate the technology. He pointed to polling suggesting that 81% of Americans believed their politicians should take action.
The independent senator for Vermont said: “We can’t allow a handful of greedy people to play God and determine the future of humanity – our economy, environment, democracy, privacy and more – without public input.”
ControlAI is funded by Jaan Tallinn, the multi-billionaire founder of Skype who calls himself an “anti-extinctionist”. He has dedicated part of his fortune to campaigning for AI safety and says some senior AI executives would be happy for humanity to be wiped out.
Despite being an early investor in Anthropic and Google DeepMind, two of the leading AI labs, Tallinn estimates that 10-15% of AI employees believe the technology will be a worthy successor to humanity.
He said in an interview earlier this summer: “A fairly known AI researcher said to me ‘Jaan, don’t worry about this. Humans are a disposable species’. From what I understand he was fine with becoming extinct.”
Tallinn’s lobby group ran the session for MPs and peers at Westminster on Monday and urged them to back measures to curb the most powerful AI models. On every chair was a copy of the book, If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI.
The politicians heard from Russell, who made the Chornobyl warning and said: “The other possibility is a much larger catastrophe, in which humanity loses control irreversibly. But we have no say over whether we continue to exist.”
Browne said that when he was defence secretary he thought nuclear war was the most likely threat facing humanity. Now he believed “a superintelligent AI poses a threat on the same, possibly, a greater scale”.
Other contributors were more cautious. Dr Andrew Rogoyski, of the Surrey Institute for People-Centred AI, said: “In reality, these systems are nowhere near as versatile as humans, let alone humans acting collectively. I suspect we’re heading towards ‘the great disappointment’ where advanced AI turns out to be too expensive and not useful enough to continue in its current form.”
David Barber, director of Sofair, a state-backed AI research lab combining academics from Oxford, Cambridge, Edinburgh and UCL, said he was worried about people “throwing the baby out with the bathwater”.
“AI is not going to go away,” he said. “It’s incredibly useful, whether or not you allow it in a fully unconstrained way to access the internet and various systems that’s potentially problematic. We may need to learn how to better control these things. There are vulnerabilities in the software frameworks that need to be patched. But that’s doable.
“What we need as a country is to get to grips with the duality that is both an incredibly important and useful technology, and at the same time, it’s something that needs to be carefully thought about and carefully controlled.”
Sandra Wachter, a professor at the Oxford Internet Institute, said she did not believe in “Terminator scenarios” but that AI posed real threats including its environmental impact, spreading of misinformation and replacing jobs.
“These problems are real and urgent and need addressing now,” she said. “Terminator scenarios are a big distraction from real issues.”
Gary Marcus, an AI industry commentator and academic, said: “There is a difference between superintelligence that is aligned (if such a thing is possible) and superintelligence that is not.
“It is at least conceivable that the former might be net positive. So far we have neither, but a superabundance of hype combined with a striking lack of prudence on OpenAI’s part has gotten us where we are, with intense mistrust all around.”
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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
remember
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