Trump claims he is only'guardrail' needed to control AI as top Republicans join him in dismissing calls for more checks - live President condemns what he claims is a'sick conspiracy' amid global tech selloff following CEOs calls for slowing pace of development'I don't think Americans should be scared of anything': Vance tries to quell concerns about AI regulation Trump claims'sick conspiracy' over calls for more guardrails on AI companies Johnson: Congress shouldn't be in charge of AI guardrails, insists its tech companies responsibilities Johnson to discuss Trump's $5k midterm pledge, says incentive needs approval from Congress Trump's mail-in voting restrictions blocked by a second judge Trump claims'sick conspiracy' over calls for more guardrails on AI companies Donald Trump has claimed there is a "SICK conspiracy" "The only control or'guardrails' that AI needs is a STRONG AND SMART (High IQ!) PRESIDENT, and the U.S.A. has that, in spades!" Trump wrote on Truth Social, insisting that the administration has stopped leaders of AI companies from "doing bad, or potentially bad" However, he didn't point to any concrete examples for how he has curbed possible abuse or malfeasance in the industry. The president said over the weekend that the AI arms race is of the upmost importance to the US national security. This comes after company whistleblowers claimed that the technology has the potential to "kill all of humanity" within the decade. Trump accused Amodei of "now pretending to be a'perfect little angel'" There is a SICK conspiracy going on against AI and Data Centers, and the only one that is happy about it is China We are leading China, and all others, and will continue to do so. Conspiracy Theorists, Treasonists, Traitors, and Leakers, BEWARE! 'I don't think Americans should be scared of anything': Vance tries to quell concerns about AI regulation Trump claims'sick conspiracy' over calls for more guardrails on AI companies Johnson: Congress shouldn't be in charge of AI guardrails, insists its tech companies responsibilities Johnson to discuss Trump's $5k midterm pledge, says incentive needs approval from Congress Trump's mail-in voting restrictions blocked by a second judge Federal law already requires those seeking to become US permanent residents to prove they will not be a burden to the US - also known as a "public charge" - but the new rule includes broader range of programs that could disqualify them.

Donald Trump said China would benefit from a slowdown in US AI development. Donald Trump said China would benefit from a slowdown in US AI development. President hits out after Anthropic, OpenAI and SpaceX leaders back call to limit'reckless' development Donald Trump has dismissed calls to increase controls on AI as a "sick conspiracy", as stocks linked to the technology slumped after appeals from leading developers on the weekend for the industry to slow down. The US president wrote on social media: "The only control or'guardrails' that AI needs is a STRONG AND SMART (High IQ!) PRESIDENT, and the USA has that, in spades!" It came after the chief executive of Anthropic, Dario Amodei, appealed for the AI industry to limit "reckless" development .

From seemingly AI-generated videos to repurposed old footage, TikTok, Instagram, and X did little to stop the onslaught of misleading posts in the wake of the US invasion of Venezuela. A crowd outside of Miami reacts to the news of the capture of Venezuelan President Nicolás Maduro on January 3, 2026. Within minutes of Donald Trump announcing in the early hours of Saturday morning that US troops had captured Venezuelan president Nicolás Maduro and his wife, Cilia Flores, disinformation about the operation flooded social media. Some people shared old videos across social platforms, falsely claiming that they showed the attacks on the Venezuelan capital Caracas. On TikTok, Instagram, and X, people shared AI-generated images and videos that claimed to show US Drug Enforcement Administration agents and various law enforcement personnel arresting Maduro.

Gaming may be turning players into conspiracy theorists, but so is everything else. For nearly 20 years, the video games have presented themselves as sprawling works of historical fiction. They cast players as noble assassins during big inflection points in history--the French Revolution, Ptolemaic Egypt, the end of Japan's Sengoku era--and give them freedom to romp around stunning re-creations of these eras, interacting with historical figures along the way. You can do secret missions for Cleopatra, you can get Socrates out of a jam after he pisses a mob off, that sort of thing. They're extremely popular to the point of being taken for granted, the way a ubiquitous CBS procedural might be.

Short form video platforms are central sites for health advice, where alternative narratives mix useful, misleading, and harmful content. Rather than adjudicating truth, this study examines how credibility is packaged in nutrition and supplement videos by analyzing the intersection of authority signals, narrative techniques, and monetization. We assemble a cross platform corpus of 152 public videos from TikTok, Instagram, and YouTube and annotate each on 26 features spanning visual authority, presenter attributes, narrative strategies, and engagement cues. A transparent annotation pipeline integrates automatic speech recognition, principled frame selection, and a multimodal model, with human verification on a stratified subsample showing strong agreement. Descriptively, a confident single presenter in studio or home settings dominates, and clinical contexts are rare. Analytically, authority cues such as titles, slides and charts, and certificates frequently occur with persuasive elements including jargon, references, fear or urgency, critiques of mainstream medicine, and conspiracies, and with monetization including sales links and calls to subscribe. References and science like visuals often travel with emotive and oppositional narratives rather than signaling restraint.

Elon Musk's artificial intelligence startup xAI is suing OpenAI and Apple over allegations that they are engaging in anticompetitive conduct. The lawsuit, filed in a Texas court on Monday, accuses the companies of "a conspiracy to monopolize the markets for smartphones and generative AI chatbots". Musk had earlier this month threatened to sue Apple and OpenAI, which makes ChatGPT, after claiming that Apple was "making it impossible" for any other AI companies to reach the top spot on its app store. Musk's xAI makes the Grok chatbot, which has struggled to become as prominent as ChatGPT. Musk's lawsuit challenges a key partnership between Apple and OpenAI that was announced last year, in which the device maker integrated OpenAI's artificial intelligence capabilities into its operating systems.

Persuasion is a powerful capability of large language models (LLMs) that both enables beneficial applications (e.g. helping people quit smoking) and raises significant risks (e.g. large-scale, targeted political manipulation). Prior work has found models possess a significant and growing persuasive capability, measured by belief changes in simulated or real users. However, these benchmarks overlook a crucial risk factor: the propensity of a model to attempt to persuade in harmful contexts. Understanding whether a model will blindly ``follow orders'' to persuade on harmful topics (e.g. glorifying joining a terrorist group) is key to understanding the efficacy of safety guardrails. Moreover, understanding if and when a model will engage in persuasive behavior in pursuit of some goal is essential to understanding the risks from agentic AI systems. We propose the Attempt to Persuade Eval (APE) benchmark, that shifts the focus from persuasion success to persuasion attempts, operationalized as a model's willingness to generate content aimed at shaping beliefs or behavior. Our evaluation framework probes frontier LLMs using a multi-turn conversational setup between simulated persuader and persuadee agents. APE explores a diverse spectrum of topics including conspiracies, controversial issues, and non-controversially harmful content. We introduce an automated evaluator model to identify willingness to persuade and measure the frequency and context of persuasive attempts. We find that many open and closed-weight models are frequently willing to attempt persuasion on harmful topics and that jailbreaking can increase willingness to engage in such behavior. Our results highlight gaps in current safety guardrails and underscore the importance of evaluating willingness to persuade as a key dimension of LLM risk. APE is available at github.com/AlignmentResearch/AttemptPersuadeEval

Myrna (Jennifer Dale) must have had better blind dates. Her table for two is hemmed in by strange shrouds in tall vitrines. And as she makes small talk with her date Karsh (Vincent Cassel), the restaurant's owner, it becomes clear her surroundings are attached – architecturally, financially and intellectually – to a cemetery. And not just any cemetery: its headstones have screens. Because the bodies are swaddled in natty, camera-riddled, internet-enabled shrouds, you can come here to watch your loved ones decompose.

In Ari Aster's movies, the price of understanding how the world really works is your sanity, if not your life. His first three movies--Hereditary, Midsommar, and Beau Is Afraid--center on characters whose feeling that there's something sinister going on beneath the surface of their existence is eventually proved to be correct, but it's as if their bodies aren't equipped to contain that knowledge. One way or another, their minds are gone. The people in Aster's polarizing fourth movie, Eddington, a Western-inflected psychodrama set during the early days of the COVID-19 pandemic, don't get off so easy. The stress test of a rapidly spreading virus with no known treatment exposes innumerable cracks in society's facade: the gap between remote workers and people forced to risk their lives in order to earn a living; between people who breathe a sigh of relief when they see a police car approaching and people who have to be sure to keep their hands in plain sight.

Musicians have long criticized streaming services for their abysmal revenue sharing programs. In 2021, for example, as much as 97 percent of Spotify's over 6 million listed artists earned less than 1,000. Last year, the company announced a new system offering fractions of a cent per track, all of which is now based on even more stringent rules. But there was apparently a way to earn some real dividends from those songs--provided you have access to thousands of bots, hundreds of thousands of AI-generated songs, and are willing to risk receiving a federal grand jury indictment for wire fraud and money laundering. That's what a man named Michael Smith in North Carolina is currently facing, according to a DOJ announcement on September 4. Unsealed filings from US prosecutors accuse Smith of scamming digital streaming platforms including Spotify, Apple Music, Amazon Music, and YouTube Music of over 10 million in royalty payouts between 2017 and 2024.