Oxford researchers just published a paper arguing LLMs cannot invent anything. Mathematically impossible. The reason is simple and brutal. A model trained to predict the next word can never believe something the existing data says is wrong. And every real breakthrough in history started with exactly that belief. In 1903 every prediction machine on Earth would have told the Wright Brothers that human flight was one to ten million years away. Nine weeks later they flew. Not because they had better data. Because they had a theory the data hadn’t caught up to yet. That is the gap between AI and human thinking. LLMs mirror the past. Humans reason into a future that doesn’t exist yet. Oxford just proved mathematically that those are two different things. I use these models every day. This matches what I see. The new stuff always comes from the human at the keyboard who decides the data is wrong. LLMs don’t think. You do.
AI’s existential threat to humanity is dominating headlines across the globe. But with so much attention on the fear of a future AI apocalypse, is the media ignoring the damage AI is already causing? And as AI CEOs join forces to call for regulations, is their motivation about public safety or to secure their grip on the technology’s future?
Contributors: Leo Schwartz – Reporter, The Information Sarah Myers West – Co-executive director, AI Now Aaron Mak – Technology reporter, Politico Cori Crider – Executive director, Future of Tech Institute Presenter: Richard Gizbert Producers: Nicholas Muirhead, Monazza Farooqi and Gulmehar Jilani Editor: Haim Litani
On our radar NAZA, a documentary that lifts the lid on Israel’s calculated killing of Palestinians, has sparked outrage in Israel and accusations of treason against its Israeli filmmakers. They’ve faced threats from senior government and military officials, as well as journalists and online activists.
Producer / Reporter: Elettra Scrivo Editor: Sidney Sonnerberg Who gets to publish Africa? Cassava Republic Press and the politics of storytelling Literature can shape how people see themselves – and how they’re seen by the rest of the world. But before a story reaches a reader, someone – an editor – has to decide if it is worth publishing. For decades, much of African literature was published outside the continent. Twenty years ago, Cassava Republic Press set out to change that, by building a publishing house rooted in Africa. Tariq Nafi examines how the publisher has helped reshape the industry and whether control over African stories has really come home. Featuring: Bibi Bakare-Yusuf – Co-founder and publishing director, Cassava Republic Press Chika Unigwe – Author and professor of creative writing Tinashe Mushakavanhu – Assistant professor, Harvard University Reporter: Tariq Nafi Producer: Hanna Adan Editor: Haim Litani / ajlisteningpost / ajlisteningpost https://bsky.app/profile/ajlisteningp…https://x.com/ajlisteningposthttps://www.threads.net/@ajlisteningpost#aljazeeraenglish#ainews#politics#breakingnews
What if the biggest danger from artificial intelligence isn’t AI turning against humanity — but humans trusting it, misusing it, or failing to control it? A false AI-assisted intelligence report nearly led U.S. forces to intercept a Chinese ship during the war with Iran.
According to the account discussed by Michael Smerconish, armed service members were preparing to board the vessel and military aircraft were already in the air before officials determined the report was false. And that’s only part of the concern. Anthropic says that over an eight-month period it detected and disrupted actors using Claude in connection with cyber operations, surveillance, fraud, biological misuse and conventional weapons development.
The company says these were exceptional cases rather than typical use, but its report provides real-world examples of AI being used by people for potentially dangerous purposes. Michael is joined by NYU Stern professor Scott Galloway @TheProfGPod who argues that the focus shouldn’t simply be on whether AI becomes uncontrollable. His concern is the people and companies behind these systems — and whether there are enough consequences when things go wrong. “We shouldn’t be scared of AI. We should be scared of reckless people with intent who use AI,” Galloway tells Michael.
Galloway makes the case for regulation, corporate accountability and international cooperation, including cooperation between the United States and China, as increasingly capable AI systems move into cybersecurity, surveillance and weapons-related applications. So which worries you more: AI escaping human control — or what humans are already doing with it?
The Deep View <newsletter@thedeepview.co> Unsubscribe
1:35 PM (6 minutes ago)
to me
September 19, 2026 | Read onlineHello, friends. With AI advancing at a rapid rate, the days of experimentation have given way to scale. As engineers turn from executors of tasks to orchestrators of agents, skills such as good judgement and strategy are more important than ever. That’s the topic of this special weekend edition, presented in partnership with Rokt. Let us know what you think! —Nat Rubio-Licht
Though some enterprises are still figuring out their AI strategies, at Rokt, the tech is moving beyond the experimentation phase. Sam Dozor, CTO of ecommerce technology company Rokt, told The Deep View that the days of cautiously using AI as an experimental copilot are long gone, especially for engineers. If engineers aren’t creating and orchestrating teams of agents, they are “no longer somebody who can keep up with the pace of development,” he said.This shift has rocked a lot of traditional builders and engineers who “got by because they were amazing executors,” said Dozor, capable of writing code quickly or debugging live code flawlessly.But AI has decreased the value of those kinds of skills, said Dozor.
However, for those who embrace AI tools to their fullest potential, there’s never been a more exciting time to be an engineer, he said. At Rokt, Dozor’s focus has been to help foster the skills that can’t be supplanted: Good judgement, strategy and client empathy. These are the things that represent the biggest bottlenecks at organizations, rather than technical execution. For instance, because AI can handle so many tedious tasks, “we can go directly to training people on systems design and overall product strategy,” he said. “So much of what was very hard and valuable before, things that forced them to crawl through glass, is no longer needed,” Dozor said. And even beyond engineering roles, AI may give organizations the ability to collapse the career ladder into fewer and fewer rungs, he said, democratizing the ability to do anything within an organization while allowing people to be differentiated by the things that they are interested in working on, rather than the technical skills that they’ve been trained on. Dozor has facilitated the shrinking of the career ladder himself:
At Rokt, everyone on the engineering team is a “builder,” not differentiated product managers, engineers, or designers. “Some people fell in love with the manual mechanics of building and testing software,” said Dozor. “It’s those with high-level product and commercial aspirations and interests that ultimately will be the winners.”Still, one of the biggest roadblocks to get over has been simply getting people on board. Every company, Rokt included, has its fair share of AI skeptics, said Dozor, feeling the broader societal anxiety around the impacts of AI on the workforce and economy.
Going from experimentation to scale required “creating a culture of excitement around it rather than fear,” said Dozor.Additionally, getting beyond the fear required Rokt to accept a “J-curve of productivity,” in which the first few weeks or months of learning how to properly work with AI created “temporary productivity hits across the organization,” but resulted in a sharp uptick in productivity and output once the employees were properly trained. And because AI is still nascent, with true gains in productivity as a result of increased model capability only truly ramping up over the past year, those who were skeptical of the technology are now being faced with the power it puts in their hands, he said.
“Getting over that hump of viewing this as something that threatens you to something that actually will accelerate their career is about getting them to realize that, whatever gap they had before — like how to build complex engineering systems, customer understanding or product strategy — AI lets you fill those gaps more than you’ve ever been able to,” said Dozor.Learn more about Rokt
Bounce Back from Stress: Build Resilience for a Calmer, Healthier Life
Inbox
Harvard Medical School <healthbeat@mail.health.harvard.edu> Unsubscribe
1:21 PM (11 minutes ago)
to me
SUBSCRIBE | SHOP THE BOOKSTOREBouncing back from stressWe all experience stress in our lives. Traffic. Monthly bills. Health concerns. Relationship issues. Because the mind and body are so closely linked, these constant worries can take a toll on health, contributing to a host of diseases.While you can’t erase all sources of stress, you can learn how to reduce stress and also build resilience-which is your ability to bounce back from stress.Get your copy of Stress ManagementWhile some stress is inevitable, when your body repeatedly encounters a set of physiological changes dubbed the stress response, trouble can brew. Stress may contribute to or exacerbate various health problems. But it’s possible to dismantle negative stress cycles. This Special Health Report, Stress Management: Enhance your well-being by reducing stress and building resilience, can help you identify your stress warning signs and learn how to better manage stressful situations. SHOW ME MORE →
William James was a notable Harvard philosopher-psychologist of the late 19th century and a graduate of Harvard Medical School. James was also a stressed-out melancholic. He marveled at people he called “the healthy-minded”-optimistic and positive people who appeared to live happier and healthier lives. Amid the run-of-the-mill volatility everyone must deal with, James observed that the healthy-minded seemed to turn challenges and potential failures into grist for opportunities and successes. The characteristics that James saw as “healthy-minded,” statistician and risk-management specialist Nassim Nicholas Taleb called “antifragile.” In his book Antifragile: Things That Gain from Disorder, Taleb defines fragility as the tendency to be damaged by volatility and uncertainty-the kinds of things that often create a chronic stress response. By contrast, says Taleb, the antifragile person realizes that stress is just the price we pay for being alive. Cultivating antifragility helps us use our strengths to overcome challenges and become stronger in the process.
A prime example of antifragility is the Navy Seals. The Seals are able to manage high degrees of stress and still function admirably. Faced with life-threatening situations, they can rapidly change the focus of their attention and address the issue at hand efficiently and flexibly. Brain scans show that Seals have altered activation in a prefrontal brain region called the insula, which is involved in managing stress signals. As a group, Navy Seals exhibit at least seven characteristics of resilient people:Calm, innovative, nondogmatic thinking – The ability to act decisively – Tenacity – Interpersonal connectedness – Honesty – Self-control – Optimism and a positive perspective on life.
Published: November 24, 2009 Last Updated: September 14, 2026
On September 19, 1957, the United States detonates a 1.7-kiloton nuclear weapon in an underground tunnel at the Nevada Test Site (NTS), a 1,375-square-mile research center located 65 miles north of Las Vegas. The test, known as Rainier, was the first fully contained underground detonation and produced no radioactive fallout. A modified W-25 warhead weighing 218 pounds and measuring 25.7 inches in diameter and 17.4 inches in length was used for the test.Rainier was part of a series of 29 nuclear weapons and nuclear weapons safety tests known as Operation Plumbbob that were conducted at the NTS between May 28, 1957, and October 7, 1957.
The Interstate System…and Atomic Bombs?
Nuclear bombs played a key role in the planning and building of the Interstate Highway System.
1:01m watch
In December 1941, the U.S. government committed to building the world’s first nuclear weapon when President Franklin Roosevelt authorized $2 billion in funding for what came to be known as the Manhattan Project. The first nuclear weapon test took place on July 16, 1945, at the Trinity site near Alamogordo, New Mexico.A few weeks later, on August 6, 1945, with the U.S. at war against Japan, President Harry Truman authorized the dropping of an atomic bomb named Little Boy over Hiroshima, Japan. Three days later, on August 9, a nuclear bomb called Fat Man was dropped over Nagasaki. Two hundred thousand people, according to some estimates, were killed in the attacks on the two cities and on August 15, 1945, Japan surrendered to the Allied Powers.
1957’s Operation Plumbbob took place at a time when the U.S. was engaged in a Cold War and nuclear arms race with the Soviet Union.In 1963, the U.S. signed the Limited Test Ban Treaty, which banned nuclear weapons testing in the atmosphere, underwater and outer space. A total of 928 tests took place at the Nevada Test Site between 1951 and 1992, when the U.S. conducted its last underground nuclear test. In 1996, the U.S signed the Comprehensive Test Ban Treaty, which prohibits nuclear detonations in all environments.
To their credit, as an adversary, in terms of intelligence gathering and grey warfare, the Communist Chinese are brilliant. They are running rings around the West in so many of those areas and as I’ve said before, the West is more seriously compromised than it was even in the worst of times with the Soviets.
Quote
Theresa Fallon
@TheresaAFallon
·
1h
Who got paid to reroute F-35 stealth parts from Australia through Hong Kong which then went missing? We have to assume that Beijing now has the classified radar-absorbing canopy and other classified F-35 parts. If you put this Darwin Award level blunder into a movie script, it x.com/marksatter/sta…