Trump's AI Safety'Accord' Is a Fancy Pinky-Swear Six major AI companies signed a voluntary agreement with the White House this week vowing to implement safeguards. On Tuesday, executives for Google, Anthropic, Meta, OpenAI, xAI, and Nvidia all signed "The White House Accord on Super Intelligence," which was announced following a luncheon held by President Donald Trump. The effort was an act of "tremendous self-regulation," as Trump put it, but the agreement is not the sweeping AI regulation that people inside the companies themselves have been asking for. And while failing to honor these public commitments could count as illegally lying to consumers, even that wouldn't be enough to trigger massive reforms. The statement says that companies "should implement" several things: First, they should ensure they have "robust internal controls" to monitor their models' capabilities and ability to not go rogue or hack things in unintended ways.

What happens when driverless cars break the law? In 2026, driverless cars like and human drivers exist in two different legal realities. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Regulators are in a race to catch up to AVs, which are increasingly being spotted breaking laws that would land human drivers in hot water. Breakthroughs, discoveries, and DIY tips sent six days a week.

Back to School Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable Selects Say More Look Up Trending Now Good Connection: Uplifting stories for a digital age Creator Playbook Switch Off Mashable Voices Safety Net Versus All Series Minnesota'nudification' law survives xAI's request for a legal injunction Minnesota has temporarily won the right to sue companies for up to $500,000 for every nudification enabled by artificial intelligence. The District Court of Minnesota has rejected the efforts of Elon Musk's xAI to seek an injunction to suspend the law until a court could hear its constitutional challenge to the law itself, according to a report by Reuters . Judge Donovan W. Frank, in his Conclusion, argued that xAI has not demonstrated irreparable harm and the balance of harms tips steeply in favor of the State. The bill Musk is trying to fight was recently passed into law by Minnesota, becoming the nation's first anti-nudification law . Companies found in violation of this law would be subject to fines of up to $500,000 every time artificial intelligence is used to alter images to depict the intimate parts of a person in such a way that a reasonable person would believe that the intimate part belongs to the identifiable individual.

Foreign recruitment and external support networks are sustaining and expanding the civil war in Sudan by providing weapons, military technology and fighters, to the detriment of civilians, according to a United Nations-backed investigation. A report by the UN Independent International Fact-Finding Mission for the Sudan, released on Thursday, said transnational entities operating across several countries recruited, trained and deployed foreign personnel to support the paramilitary Rapid Support Forces (RSF). Since April 2023, the conflict between the SAF and the RSF has killed tens of thousands of Sudanese and forced millions to flee their homes. "This support fed into RSF operations in Zamzam camp and later during the takeover of el-Fasher, where the [UN] Mission documented grave human rights and international humanitarian law violations and international crimes, including conduct displaying hallmarks of genocide," mission member Mona Rishmawi said. The report said external entities have substantially enhanced the drone capabilities of both the RSF and the SAF, enabling them to strike far beyond front lines.

Things to Do in L.A. Tap to enable a layout that focuses on the article. Traffic makes its way down Ocean Avenue in Santa Monica. The city is using AI-powered cameras to identify and cite motorists who block bike lanes. This is read by an automated voice. Please report any issues or inconsistencies here .

The European Commission claims that Google boosted its own apps and products to the top of search rankings to the detriment of its competitors. The European Commission has levied a $1 billion penalty against Google over alleged competition law violations. An EC investigation found that Google had abused its dominance in the European Union's search and app store markets to funnel people toward its own apps and services, in violation of the EU's Digital Markets Act . The body has ordered Google to refrain from giving preferential treatment to its own services--such as shopping, accommodations, transport, and flights--in search rankings. Google must also allow app developers to communicate and transact with users outside the Play Store, where it takes a commission on sales .

The company donated more than $3.6 million to conservative groups between 2020 and 2025, including $1 million to the MAGA Inc. super PAC. The lettuce supplier at the center of the turbo diarrhea outbreak has spent millions of dollars to sway sentiment around food regulation and elect Donald Trump and other MAGA Republicans, according to public filings. Taylor Farms donated more than $2 million to conservative political groups in 2025, according to Federal Election Commission filings. That includes a $1 million donation to MAGA Inc., the Trump-centric super PAC, and $1.1 million to other super PACs dedicated to electing Republicans. From 2020 through the end of 2024, the company donated more than $1.6 million to conservative PACs, including a total of $850,000 to AFP Action, an anti-regulation super PAC with ties to the Koch network.

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Data fusion techniques integrate information from heterogeneous data sources to improve learning, generalization, and decision-making across data sciences. In causal inference, these methods leverage rich observational data to improve causal effect estimation, while maintaining the trustworthiness of randomized controlled trials. Existing approaches often relax the strong "no unobserved confounding" assumption by instead assuming exchangeability of counterfactual outcomes across data sources. However, when both assumptions simultaneously fail--a common scenario in practice--current methods cannot identify or estimate causal effects. We address this limitation by proposing a novel partial identification framework that enables researchers to answer key questions such as: Is the causal effect positive/negative? and How severe must assumption violations be to overturn this conclusion?

We propose a practical sequential test for auditing differential privacy guarantees of black-box mechanisms. The test processes streams of mechanisms' outputs providing anytime-valid inference while controlling Type I error, overcoming the fixed sample size limitation of previous batch auditing methods. Experiments show this test detects violations with sample sizes that are orders of magnitude smaller than existing methods, reducing this number from 50K to a few hundred examples, across diverse realistic mechanisms. Notably, it identifies DP-SGD privacy violations in under one training run, unlike prior methods needing full model training.