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6 hidden GNOME Search tricks every Linux user should try  ZDNET

Dangerous npm packages are targeting developer credentials on Windows, Linux and Mac - here's what we know  TechRadar

Dangerous npm packages are targeting developer credentials on Windows, Linux and Mac - here's what we know  TechRadar

Dangerous npm packages are targeting developer credentials on Windows, Linux and Mac - here's what we know  TechRadar

Dangerous npm packages are targeting developer credentials on Windows, Linux and Mac - here's what we know  TechRadar

Dangerous npm packages are targeting developer credentials on Windows, Linux and Mac - here's what we know  TechRadar

Dangerous npm packages are targeting developer credentials on Windows, Linux and Mac - here's what we know  TechRadar

Dangerous npm packages are targeting developer credentials on Windows, Linux and Mac - here's what we know  TechRadar

Learn how to use Pixel Watch 4’s Raise to Talk feature so you can access Gemini hands-free.

Google Arts & Culture is partnering with the National Trust for Historic Preservation to celebrate Route 66’s legacyGoogle Arts & Culture is partnering with the National Trust for Historic Preservation to celebrate Route 66’s legacy

schwit1 writes: China has enacted a new law regulating social media influencers, requiring them to hold verified professional qualifications before posting content on sensitive topics such as medicine, law, education, and finance, IOL reported. The new law went into effect on Saturday. The regulation was introduced by the Cyberspace Administration of China (CAC) as part of its broader effort to curb misinformation online. Under the new rules, influencers must prove their expertise through recognized degrees, certifications, or licenses before discussing regulated subjects. Major platforms such as Douyin (China's TikTok), Bilibili, and Weibo are now responsible for verifying influencer credentials and ensuring that content includes clear citations, disclaimers, and transparency about sources. Audiences expect influencers to be both creative and credible. Yet when they blur the line between opinion and expertise, the impact can be severe. A single misleading financial tip could wipe out someone's savings. A viral health trend could cause real harm. That's why many believe it's time for creators to acknowledge the weight of their influence. However, China's new law raises deeper questions: Who defines "expertise"? What happens to independent creators who challenge official narratives but lack formal credentials? And how far can regulation go before it suppresses free thought?

Read more of this story at Slashdot.

SUSE brings agentic AI to enterprise Linux  BetaNews

Inside Canonical's plan to make Ubuntu 26.04 the Linux desktop that finally goes mainstream  ZDNET

Inside Canonical's plan to make Ubuntu 26.04 the Linux desktop that finally goes mainstream  ZDNET

Inside Canonical's plan to make Ubuntu 26.04 the Linux desktop that finally goes mainstream  ZDNET

Inside Canonical's plan to make Ubuntu 26.04 the Linux desktop that finally goes mainstream  ZDNET

Inside Canonical's plan to make Ubuntu 26.04 the Linux desktop that finally goes mainstream  ZDNET

Inside Canonical's plan to make Ubuntu 26.04 the Linux desktop that finally goes mainstream  ZDNET

Inside Canonical's plan to make Ubuntu 26.04 the Linux desktop that finally goes mainstream  ZDNET

Computer scientists at the University of Pennsylvania have proved that pricing algorithms can drive up prices even when they lack the capacity to collude. Aaron Roth and four colleagues studied so-called no-swap-regret algorithms, which are designed to minimize losses and were previously thought to guarantee competitive pricing. The researchers found that when such an algorithm faces an opponent using a nonresponsive strategy -- one that randomly selects from predetermined price probabilities without reacting to competitor moves -- both players can end up in equilibrium at high prices. Neither has an incentive to switch strategies because their profits are nearly equal and as high as possible under the circumstances. The nonresponsive strategy cannot express threats because it does not respond to opponent behavior, yet it effectively coaxes the learning algorithm into raising prices. Mallesh Pai, an economist at Rice University not involved in the research, said the finding matters because regulators have no clear grounds to intervene without evidence of threats or agreements. Roth conceded however that he lacks a solution to the regulatory challenge his team identified.

Read more of this story at Slashdot.