Thomas Hawk posted a photo:
Thomas Hawk posted a photo:
Read along as Ian McKellen reads "The Rime of the Ancient Mariner" by Samuel Taylor Coleridge [30m].
iain.davidson100 has added a photo to the pool:
iain.davidson100 has added a photo to the pool:
iain.davidson100 has added a photo to the pool:
Microsoft has warned customers to expect more security patches for the foreseeable future, thanks to AI. “As AI helps defenders discover more issues, customers will see a higher volume of security updates included in each security release,” the company’s executive veep for Windows + Devices, Pavan Davuluri, wrote in a Thursday post that describes how Microsoft is changing its internal processes to spot software vulnerabilities using AI. His post later points out that Microsoft offers many fine tools to automate patching, and his view that customers who use them will be able to keep pace with increased volumes of patches. Davuluri’s post argues that investment in automated patching tools is justifiable and sensible because Microsoft’s use of AI to deliver more patches improves overall security. “By applying AI across security analysis, we can identify patterns faster, prioritize risk and scale vulnerability discovery across the Windows codebase,” he wrote. Sometimes that might mean Microsoft products contain fewer vulnerabilities. “We continue to evolve our internal systems and practices so that vulnerability discovery is not treated as a separate activity, but as part of how we build, review and improve Windows before new features or updates are released,” he wrote. The post explains that Microsoft uses a tool called the multi-model agentic scanning harness (MDASH), which apparently “utilizes multiple models including leading third-party AI vulnerability discovery models.” “To run MDASH at Windows scale, Windows set up dedicated cloud infrastructure for scanning and proving,” Davuluri wrote. “A scanner pipeline scans critical binaries and validates candidates using multi-model debate across multiple model families. Confirmed candidates then flow to a separate, Windows-specific prove pipeline that helps eliminate remaining false positives, so only the highest-confidence findings reach the engineering team.” The executive veep said that process “handle a larger volume of potential vulnerabilities and shortens the review window for new ones, shrinking the attack window for zero-day exploits.” Microsoft is not alone in using AI to deliver more patches: Oracle recently announced AI bug-finders mean it will add a monthly critical patch dump to its current quarterly security update service. It’s hard to argue against vendors finding and fixing more flaws, and perhaps over time AI will mean their products contain fewer vulnerabilities that need a fix. However, The Register is yet to hear of AI being used to create more or longer change windows that admins can use to implement all these extra patches. VMware has responded to that harsh reality with a new offering it calls "Express Patches" that ship indepdentently of and more frequently that its product updates and can be applied in any order, rather than requiring an upgrade before a patch will work. ®
U.S. lawmakers are probing the growing use of Chinese AI models by American companies, citing concerns over censorship, security risks, and whether U.S. firms are turning to cheaper foreign models because domestic alternatives are too costly or restricted. The investigation is specifically looking at companies such as Cursor and Airbnb. "The growing use of Chinese AI models by U.S. companies raises serious concerns," a State Department spokesperson told CNBC. Those "AI models are designed to advance Beijing's narratives, censor dissent, and reflect CCP ideology and values." CNBC reports: The House Committee on Homeland Security and the House Select Committee on China said in April they will jointly investigate the growing adoption of Chinese-developed AI models. An initial step in the probe was for the chairmen of those committees to send letters to Cursor and Airbnb, over their "use of or exposure to these risks" through AI developed in China. "The Chinese Communist Party is no longer just nipping at our heels in artificial intelligence; it is racing to close the gap in some of the exact capabilities that will shape the future of cybersecurity," Andrew Garbarino, chairman of the U.S. House Committee on Homeland Security, told CNBC. "Recent reporting that a Chinese open-weight model can match leading U.S. models in certain vulnerability discovery and cybersecurity tasks is highly alarming," said Garbarino.
While some government departments have banned the usage of Chinese AI models including DeepSeek, adoption of them by U.S. companies is not prohibited. Tech chiefs, including crypto company Coinbase's Brian Armstrong and AI startup Lindy's Flo Crivello, have been publicly touting the use of models from China to reduce costs. Cursor, which will be acquired by Elon Musk's SpaceX for $60 billion, built its Composer 2 model using Chinese AI model Kimi, which was developed by Moonshot AI. Alongside focusing on the rise of Chinese AI models, the ongoing joint House Committees' investigation is also looking into whether the U.S. is doing enough to tackle their rise. "The Committees are also examining whether the United States has a sufficient open-weight AI strategy to ensure American companies and cyber defenders are not forced to choose between expensive or restricted U.S. models and cheap, capable PRC-developed alternatives," a Committee aide, who asked not to be named as they were not authorized to discuss the ongoing probe, told CNBC.
[...] The administration could consider the use of federal procurement bans, which would include restricting government agencies and private companies that serve the U.S. government from using Chinese AI models, Kyle Chan, fellow in the John L. Thornton China Center at think tank Brookings, told CNBC. "However, it's ultimately impossible to ban China's open-source AI models because their model weights are available freely on the internet," Chan added. "This could enter into first amendment speech issues." [...] Another [approach] could be disseminating findings about risks and vulnerabilities associated with Chinese AI models to U.S. companies. "Regardless, I do expect both the Executive Branch and Congress to communicate their interest not to see U.S. companies adopting these models," [said Daniel Remler, senior fellow, technology and national security program at think tank the Center for a New American Security (CNAS), told CNBC].
While some government departments have banned the usage of Chinese AI models including DeepSeek, adoption of them by U.S. companies is not prohibited. Tech chiefs, including crypto company Coinbase's Brian Armstrong and AI startup Lindy's Flo Crivello, have been publicly touting the use of models from China to reduce costs. Cursor, which will be acquired by Elon Musk's SpaceX for $60 billion, built its Composer 2 model using Chinese AI model Kimi, which was developed by Moonshot AI. Alongside focusing on the rise of Chinese AI models, the ongoing joint House Committees' investigation is also looking into whether the U.S. is doing enough to tackle their rise. "The Committees are also examining whether the United States has a sufficient open-weight AI strategy to ensure American companies and cyber defenders are not forced to choose between expensive or restricted U.S. models and cheap, capable PRC-developed alternatives," a Committee aide, who asked not to be named as they were not authorized to discuss the ongoing probe, told CNBC.
[...] The administration could consider the use of federal procurement bans, which would include restricting government agencies and private companies that serve the U.S. government from using Chinese AI models, Kyle Chan, fellow in the John L. Thornton China Center at think tank Brookings, told CNBC. "However, it's ultimately impossible to ban China's open-source AI models because their model weights are available freely on the internet," Chan added. "This could enter into first amendment speech issues." [...] Another [approach] could be disseminating findings about risks and vulnerabilities associated with Chinese AI models to U.S. companies. "Regardless, I do expect both the Executive Branch and Congress to communicate their interest not to see U.S. companies adopting these models," [said Daniel Remler, senior fellow, technology and national security program at think tank the Center for a New American Security (CNAS), told CNBC].
Read more of this story at Slashdot.
Google says the World Cup drove Search to its highest usage in history, with queries per second peaking right after Argentina's winning goal against Egypt. CNBC reports: The milestone comes as the company tries to prove its traditional search engine can keep its relevance in the age of AI, where chatbots have become more prevalent. Google still controls 90% of the search market, its stock price has more than doubled in the past year and revenue growth in the first quarter was the fastest for any period since 2022.
Google said its top searched query after the game was "argentina vs egypt." Globally, the company also saw people searching for things like "argentina x colombia" and "how many world cup goals does messi have." Additional queries included "what is it called when a player hits another player in game" and "is it messi's last world cup."
Google said its top searched query after the game was "argentina vs egypt." Globally, the company also saw people searching for things like "argentina x colombia" and "how many world cup goals does messi have." Additional queries included "what is it called when a player hits another player in game" and "is it messi's last world cup."
Read more of this story at Slashdot.
Op voorgaande eindtoernooien werd de Franse bondscoach Didier Deschamps bekritiseerd om zijn defensieve speelwijze. Dit toernooi kiest hij voor een heel andere aanpak. Tegen Marokko kwamen Les Bleus geen moment in de problemen.
/s3/static.nrc.nl/wp-content/uploads/2026/07/10032921/e59dd237-2e8b-44db-baeb-803df2352ec6.jpg)