AI Watch
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Looking at enterprise AI adoption, VentureBeat has anecdotally observed a fairly wide divergence when it comes to specific roles: For those who build—engineers and developers—the arrival of AI has been transformative, moving through the workflow with the speed of tools like Claude Code and Cursor to automate the heavy lifting of syntax and architecture.
Yet, for those who sell, the “revenue stack” has remained a fragmented collection of data silos, manual CRM entries, and anecdotal reporting.
Von, a new AI platform emerging from the team behind process automation startup Rattle, aims to bridge this gap. By positioning itself not as another “point solution” but as a foundational “intelligence layer,” Von seeks to do for Go-To-Market (GTM) teams what the modern IDE has done for the developer: provide a single, reasoning interface that understands the entire business context.
“AI has revolutionized the workflow for people who build things, but there is nothing that has revolutionized the workflow for people who sell those things,” Von CEO Sahil Aggarwal said in a recent video call interview with VentureBeat. “That is what we are trying to build with Von”.
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Two weeks after unfounded rumors said President Donald Trump suffered a health issue, social media users shared a video they said showed proof he was just taken to a hospital.
In the video, two men appear to assist Trump as he walks unsteadily out of a building. A sign on the building reads “Walter Reed National Military Medical Center.”
“BREAKING: There are some reports Trump has been taken to Walter Reed Hospital,” the captions of multiple Facebook posts sharing the video read. The earliest we found was posted April 19 and the latest was posted April 21.
The footage isn’t real. It contains signs that it was made with artificial intelligence.
We contacted the Walter Reed hospital’s communications office, which said that the logo shown in the video is not the hospital’s official logo, and the signage is inconsistent with that at the hospital.
AI agent adoption in Asia Pacific outpaces enterprise security controls, Rubrik finds – Tech Edition
AI agent adoption in Asia Pacific outpaces enterprise security controls, Rubrik finds – Tech Edition– news.google.com
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Rather than feel discouraged by the tech world’s disinterest in luxury, she decided to seize her company’s opportunity to target a massive, underserved market. The start-up builds custom tools for retailers, like customer-facing shopping assistants and back-end data optimizers, from the grocery store chain Sprouts to the multibrand retailers like Nordstrom. Looking ahead, Mostafazadeh is hoping her company “makes it so that what happened to the neighbor on the north doesn’t happen to the neighbor on the west,” she said, gesturing to Macy’s a few blocks away, lest it suffer the same bankruptcy fate as retailers like Ssense, Matches, and Saks Global.
You can probably think of a couple of pain points that Mostafazadeh’s technology—which she prefers to call “augmented intelligence”—aims to address. Many of these pain points can be found online, where shoppers can waste hours on an endless scroll without making a single purchase. (Natural language searches like “black loafers under $500 with ruching at the toe stitch only” are well within the realm of what’s technologically possible, but far from the reality you’d currently find on most e-commerce sites.)
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China controls 99 percent of the world’s primary gallium, a critical mineral and semiconductor crucial for building the microchips of the future. In 2023, it placed export controls on gallium to retaliate against American restrictions on the export of advanced chips to China. In December 2024, China escalated to an outright ban on gallium exports to the United States. The U.S. National Defense Stockpile had zero gallium reserves when that ban landed.
The United States has been here before. The United States pioneered and scaled modern silicon semiconductor infrastructure. A significant reliance on international manufacturing and the loss of domestic silicon dominance reflect a failure to recognize the importance of industrial capacity to national security. With silicon, the intellectual property was American, but the chips were “Made in Taiwan.” If similar blind spots persist, the United States risks repeating this failure with gallium nitride, a wide-bandgap semiconductor that outperforms silicon at high voltage, high frequency, and extreme temperatures. It’s the beating heart of every modern radar and electronic warfare system.
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As major artificial intelligence breakthroughs arrive on what seems to be a near-weekly basis, the race between the US and China continues to intensify. In this post and the next, we will examine the good and bad news for the prospects of American triumph in the battle for AI superiority, a skirmish that could well determine the future of global innovation.
Let’s start with the bad news.
Last week, I attended a hearing of the House Select Committee on the Chinese Communist Party entitled “China’s Campaign to Steal America’s AI Edge.” Chairman John Moolenaar (R-MI) opened the proceedings by asserting that “China’s smuggling of advanced AI chips is a pervasive threat facing law enforcement” and observing that “just last month, the Department of Justice announced a $2.5 billion chip smuggling case, which would be the largest export control violation in US history.”
Moolenaar then asked, “Why is China so desperate to acquire US-designed chips? The reason is obvious. AI is a truly transformative technology. It’s already changing how we fight wars, run our government, and operate companies.” Critically, the chairman contended, “it is essential for the United States to maintain a decisive lead in the AI race. We cannot afford a future where Beijing dominates this technology.”
At the hearing, Dmitri Alperovitch, the founder and chairman of the Silverado Policy Accelerator, echoed Moolenaar, arguing that “we are in a race, and the stakes could not be higher. Artificial intelligence will transform every industry, every battlefield, and every government.” Critically, Alperovitch asserted, “whoever fields the best models running on the best infrastructure will likely win not just the AI race itself but the 21st century. The single most important input to winning is compute—the processing power used to train and run AI models.”
China hopes to soon deploy robots to control future rioters. The People’s Armed Police Force (PAP) is already testing the possibility in preparation for a potential mass riot event.
China may control riots in the future using robots – NewsBytes
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China‘s internal security forces are exploring the use of autonomous machines for riot control, according to a recent study. The research, conducted by engineering experts from the People’s Armed Police Force (PAP), imagines a future where urban unrest is managed without any human intervention. This futuristic approach was envisioned in response to a hypothetical scenario of mass protests triggered by rumors following a military takeover of a large city.
Machine intervention
How will it work?
In the imagined scenario, a large crowd gathers in a central square with the intention of attacking important government sites. However, their protest is met with an immediate response from autonomous machines. Roadblocks are suddenly deployed to cut off their advance and key instigators are quickly identified and captured by these machines. The protesters, cut off from the internet and unable to broadcast their cause, eventually disperse on their own without any direct confrontation with human soldiers or police officers.
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Federal officials are scrambling after a powerful new artificial intelligence (AI) model demonstrated the ability to hack virtually every major operating system and web browser, triggering urgent warnings from top government and financial leaders.
AI giant Anthropic’s new system, known as “Mythos,” is being kept under tight restrictions.
However, insiders say the threat is already serious enough that the U.S. government is racing to understand it before it’s too late.
Treasury Rushes to Access High-Risk AI
According to reports, the U.S. Treasury Department is urgently seeking access to Anthropic’s restricted model
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PHALABORWA, South Africa — Two enormous sandlike dunes at an old chemical processing plant in South Africa are at the center of an exploratory U.S.-backed project to extract highly sought-after rare earth elements from industrial mining waste.
The Phalaborwa Rare Earths Project has U.S. support through a $50 million equity investment by the government’s International Development Finance Corporation and is part of accelerated U.S. efforts to reduce reliance on economic rival China for the minerals crucial for making electronic devices, robotics, defense systems, electric vehicles and other high-tech products.
Countries have identified dozens of minerals, including copper, cobalt, lithium and nickel, as critical because they are essential for new technologies. The 17 rare earth elements are a subset of them.
President Donald Trump has made expanding U.S. access to critical minerals, including rare earth elements, a central policy to counter China. The Trump administration said this year it will deploy nearly $12 billion to create its own strategic reserve.
