Jason Parham / Wired: X users complain that the latest crackdown on bots purged secret accounts they had used for years to watch and curate their favorite porn  —  The platform's large-scale crackdown on automated accounts is also impacting people who've spent years curating niche porn on secret X accounts.

Trump administration dropped out of the trial, but 33 states kept fighting.

Val Kilmer in "As Deep as the Grave." First Line Films Director Coerte Voorhees and producer John Voorhees broke down the trailer for their new movie. "As Deep as the Grave" stars an artificially generated Val Kilmer. The Voorhees said Kilmer has over an hour of screen time in the film. After decades of trying to get their 1920s historical drama "As Deep as the Grave" off the ground, Coerte and John Voorhees thought they'd finally hit the jackpot: Val Kilmer was on board to star. Then everything changed. After years of starts and stops due to COVID, Coerte, who is the movie's director, and John, who is producing, got terrible news: Kilmer, who was diagnosed with throat cancer in 2014, was now too sick to participate. He died in 2025. At first, the brothers pressed on, removing Kilmer's role as a Catholic priest from the film. But soon, advancements in artificial intelligence had rapidly improved, and they had another idea. With the approval of Kilmer's two children, Mercedes and Jack, Kilmer was resurrected to deliver an AI-generated performance. Press got their first glimpse of AI Kilmer on Wednesday when the Voorhees debuted the movie's trailer at CinemaCon, the movie theater convention held yearly in Las Vegas. The "As Deep as the Grave" trailer features two versions of Kilmer: one that looks close to his appearance when he died at 65, and another that depicts him in his 30s in a flashback scene. Val Kilmer in "As Deep as the Grave." First Line Films The most astonishing moments of the trailer feature the young Kilmer. Coerte told Business Insider that the trailer's final shot, which is a closeup of Kilmer speaking to a child, took hours of digging through archival footage to feed to the AI. Once the sourcing was done, the actual AI generation for that shot only took 7 minutes. "You have to make sure the authenticity is coming across, down to the mole on the side of his cheek," Coerte said of the sourcing process. "We just had to be such students of Val Kilmer." Once the Voorhees saw what AI could do, they didn't just bring Kilmer back into the movie; they beefed up his role. The filmmakers said Kilmer has over an hour of screen time in the movie. This is not the first time Kilmer and his estate have dabbled in AI. When the star was alive, he approved the use of AI technology to recreate his voice for his role in "Top Gun: Maverick." The Voorhees praised Kilmer's children for being thoughtful collaborators and keepers of their father's estate. "Mercedes and Jack have as much creative authority when we give them a suggestion," John said. "It's consent, it's compensation, it's collaboration. You have to do that. What you see on the screen is what the family wants." The filmmakers said they're grateful that AI technology has evolved enough to help make "As Deep as the Grave" a nuanced tribute to the actor. "Fortunately, AI has been the biggest ally in this, because it's focused on the emotional experience now," Coerte said. "As Deep as the Grave" is currently seeking distribution. Read the original article on Business Insider

Doug Field had stints at Apple and Tesla before joining Ford in 2021.

Thinking Machines Lab CEO Mira Murati. Bloomberg/Getty Images Joshua Gross, a top engineer at Thinking Machines Lab, has rejoined Meta. It's the latest in a string of departures from the $12 billion startup's founding team. Thinking Machines continues to attract star AI talent and has more than quadrupled its size. Thinking Machines Lab, the startup founded by ex-OpenAI CTO Mira Murati, has lost another founding member to Meta. A veteran software engineer, Joshua Gross, built and shipped Thinking Machines Lab's flagship product, Tinker, from "zero-to-one," according to his LinkedIn profile. He joined Meta Superintelligence Labs last month and now leads engineering teams, according to his LinkedIn profile. Gross had previously worked at OpenAI and Meta (formerly Facebook). Thinking Machines Lab, which raised a huge $2 billion funding round at a $12 billion valuation last year, has become an AI talent hub. It has faced a wave of poaching from larger tech companies as Silicon Valley's AI talent wars grow hotter than ever. Meta has now hired five of its founding members, including cofounder Andrew Tulloch. Meanwhile, OpenAI hired the startup's ex-CTO, Barret Zoph, and a top cybersecurity employee, Jolene Parish. Thinking Machines Lab has had notable wins of its own. It replaced its CTO with Meta's Soumith Chintala, the creator of the open-source AI project PyTorch, and it quietly hired Neal Wu, a coder who won three gold medals in an Olympiad for programming, Business Insider previously reported. The startup, which is based in San Francisco, has more than quadrupled in size to about 130 staffers since its founding last year, according to a person familiar with the matter. Meta and Thinking Machines Lab declined to comment. Have a tip? Contact Charles Rollet via email at crollet@businessinsider.com or on Signal and WhatsApp at 628-282-2811. Use a personal email address, a nonwork WiFi network, and a nonwork device; here's our guide to sharing information securely. Read the original article on Business Insider

Attackers can abuse the near-maximum severity flaw in nginx-ui to restart, create, modify, and delete NGINX configuration files.

A federal jury found that Live Nation has acted illegally as a monopoly -- but the company just came to a tentative settlement with the DOJ last month.

Rebecca Bellan / TechCrunch: Objection, which aims to use AI and experts to evaluate claims in news stories, debuts with funding from Peter Thiel, Balaji Srinivasan; evaluations cost $2,000  —  After helping lead the lawsuit that bankrupted media firm Gawker, Aron D'Souza says he saw something broken in the American media system …

Organizations run on spreadsheets. Every day, business users plan, analyze, and report...

The startup had faced mounting pressure from dealers, farmers, and a co-founder who complained that Monarch's tech didn't work properly.

Toptal Alternatives to Hire Developers in Europe: What Hiring Speed Actually Costs Your Product Here is … Toptal Alternatives to Hire Developers in Europe: What Hiring Speed Actually Costs Your ProductRead more The post Toptal Alternatives to Hire Developers in Europe: What Hiring Speed Actually Costs Your Product appeared first on .

Chris Metinko / Axios: NY-based Auctor, which uses AI to curate resource plans and process flows to help companies adopt new software, raised $20M in a combined seed and Series A  —  Auctor, a startup helping companies adopt new software, raised $20 million in a combined seed and Series A, CEO William Sun tells Axios Pro first.

How Digital Transformation Enhances Efficiency in U.S. Home-Service Trades The digital revolution has historically been associated … How Digital Transformation Enhances Efficiency in U.S. Home-Service TradesRead more The post How Digital Transformation Enhances Efficiency in U.S. Home-Service Trades appeared first on .

"The vault is solid. The delivery truck is not."

Adolfo Felix/ Unsplash There has been no shortage of bold claims recently about artificial intelligence (AI) and jobs — from mass unemployment to over-hyped distraction. Much of this debate is speculative. Often, coming from the tech giants promoting their own products, it is self-serving. But beyond the hype, my analysis of new labour market data from the United States shows how AI is already starting to reshape work — and what may soon follow in Australia. What history tells us about technological change Exposure to new technology does not necessarily mean jobs will be lost. Technology often reconfigures tasks or boosts productivity. But when change happens quickly, it can still lead to disruption and widespread job cuts – as seen recently at tech firms Atlassian, Block, and WiseTech. To make sense of this moment, it is helpful to look back. Researchers have long studied how major “general purpose technologies” reshape economies. Although each wave of innovation – from steam power to electricity to computing – has its own features, a common pattern emerges. Technological change tends to follow a recognisable trajectory: the technology emerges, adoption spreads, some jobs are displaced, and work is reorganised before a new equilibrium is reached. The key question is: what stage are we at now? The emerging jobs data suggest we have already moved into the displacement phase — and are entering a broader reorganisation of work. What Australia can learn from the US For Australia, the United States offers a useful leading indicator, because it sits at the frontier of technology adoption. The pattern emerging in the US is not one of widespread collapse, but of uneven and targeted disruption. Recent data from the US Bureau of Labor Statistics show the sharpest declines in routine, information-processing roles — especially customer support, administrative work, and software and IT services. There are more moderate declines across marketing, banking, travel and retail. These are precisely the kinds of sectors that employ large numbers of people in the Australian economy, according to Australian Bureau of Statistics labour force data. A second group of jobs tells a different story. These roles are not yet shrinking, but growth has stalled. That slowdown may be the clearest signal of where AI is heading next. Employment in finance, consulting, management and corporate support has largely stalled after decades of steady growth. These functions underpin modern organisations, suggesting the next phase of disruption may already be taking shape. The hidden signal: entry-level jobs Perhaps the clearest warning sign is not layoffs, but a decline in entry-level jobs. In the United States, the unemployment rate for recent college graduates has risen to about 5.6% — above the economy-wide unemployment rate (about 4%) and experienced graduates (about 3%). For younger graduates, it is around 7%, with 42.5% underemployed, meaning they are working in jobs that do not require a degree. These figures demonstrate AI may be taking the jobs of the youngest workers. The resilience of blue-collar work AI is also beginning to reshape the composition of the workforce. For decades, US job growth was led by white-collar work. But over the past three years, that pattern has shifted: my analysis reveals that blue-collar employment has added roughly one million more jobs than white-collar roles, with manual work rising modestly as office-based employment edges down. The gains are concentrated in sectors such as construction and maintenance — areas less exposed to current AI capabilities. If sustained, this would mark a significant shift in how work — and opportunity — is distributed across the economy. Why this time might be different There are strong reasons to think this transition may be more abrupt than previous eras of technological change. First, the speed of development is unprecedented. OpenAI’s ChatGPT reached over 100 million users within two months — one of the fastest adoptions of new technology in history — and its capabilities are improving rapidly. This compressed timeline leaves far less room for a gradual labour market adjustment. Second, AI is no longer limited to routine tasks. It is increasingly performing cognitive work once done by professionals — drafting legal documents, writing code, analysing financial reports and generating marketing content. This marks a clear break from earlier technologies, which mainly displaced manual or repetitive work. Third, AI’s reach is economy-wide. Unlike past technologies that reshaped specific sectors, AI cuts across many industries — from finance and law to logistics and customer service. What comes next? The key question is no longer whether AI will change jobs — it already is. The real question is how quickly, and who bears the cost. As AI anxiety grows, there is an urgent need for a national conversation on policies to navigate the impact on jobs. This includes the likely need for transitional income support, labour market reskilling at scale, and structural reform of secondary and tertiary education. The AI job apocalypse may be overstated. But the early warning signs are already here — and they are increasingly difficult to ignore. Clinton Free does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

NBC News: A jury finds that Live Nation and Ticketmaster illegally maintained monopoly power in the ticketing market, in a case brought by state AGs after the DOJ settled  —  The federal government struck a settlement with Live Nation in March, requiring Ticketmaster to divest up to 13 amphitheaters …

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Snap cuts 1,000 jobs as it cites “rapid advancements” in AI, saying smaller teams can do more amid rising competition and a push for profitability. The post Tech Layoffs Continue: Snap Cuts 1,000 Jobs, Citing ‘Rapid Advancements’ in AI appeared first on TechRepublic.

Google mostly creates products for the web, but it has some new desktop apps today.

The service is another measure in the security market to keep pace with models that can accelerate cyberattacks.