The United States and United Kingdom have refused to sign an Artificial Intelligence Action Summit declaration calling for policies "ensuring AI is open, inclusive, transparent, ethical, safe, secure and trustworthy". The summit in Paris on Monday and Tuesday brought together representatives from more than 100 countries to discuss how to reach a consensus on guiding the development of AI. "We are still in the early days, and I already believe AI will be the most profound shift of our lifetimes," Google CEO Sundar Pichai told the summit. The meeting, which was held amid a three-way race for AI dominance, revealed a divide in the priorities of some nations. While Europe is seeking to regulate and invest, China is focused on expanding access through state-backed tech giants, and the US is pushing for a hands-off approach in terms of regulation. Here's what you need to know about the summit and the AI race: Some leaders at the summit emphasised the need for the creation of a diverse and inclusive AI "ecosystem" that is human rights-based, ethical, safe and trustworthy.

FIRST ON FOX: Freshman GOP Sen. Bernie Moreno is introducing a bill that would declare English as the official language of the United States. The bill, named the English Language Unity Act of 2025, would "declare English as the official language of the United States" and "establish a uniform English language rule for naturalization, and to avoid misconstructions of the English language texts of the laws of the United States." Variations of the bill have been put forward in the past, including in 2023 from then Ohio Sen. JD Vance, who said at the time that English "has been a cornerstone of American culture for over 250 years" and that it "is far past time for Congress to codify its place into law, which is exactly what this bill does." In a statement to Fox News Digital, Moreno, who was born in Colombia, said, "JD Vance was right – English is the official language of the United States and, as one of the only naturalized citizens serving in the Senate, I should know." Bernie Moreno has introduced a bill to make English the official language of the United States.

The Trump administration is replacing some of the nation's top tech officials with Silicon Valley talent tied to Elon Musk and companies associated with Peter Thiel. This could make it easier for Musk's so-called Department of Government Efficiency (DOGE) engineers to gain access to sensitive government systems, sources and experts say. Over the last few weeks, several Musk-aligned tech leaders have been installed as the chief information officers, or CIOs, of the Office of Management and Budget (OMB), the Office of Personnel Management (OPM), and the Department of Energy (DOE). CIOs manage an agency's information technology and oversee access to sensitive databases and systems, including classified ones. "Federal agency CIOs have authority over all agency asset management, which includes software used to monitor civil servant laptops and phones," a former Biden official with firsthand knowledge of a CIO's capabilities tells WIRED.

Vice President JD Vance addressed the AI Action Summit in Paris Tuesday during his first foreign trip since taking office. OpenAI CEO Sam Altman commended Vice President JD Vance's artificial intelligence (AI) speech in Paris on Tuesday while laying out his vision for how people can take advantage of the rapidly evolving technology at the same conference. Altman and Vance appeared Tuesday at the AI Action Summit in Paris, where world leaders, top tech executives and policymakers teamed up to hash out tech policy and its intersection with global security, economics and governance. During his remarks, Vance called for AI systems developed in the U.S. to remain free of "ideological bias" and vowed that the U.S. would "never restrict our citizens' right to free speech." Vance also pushed for a "deregulatory flavor" to emerge at the conference while cautioning against the pitfalls of "excessive regulation" that could hamper a transformative industry.

Not long ago, the American public could have been forgiven for thinking of Elon Musk's vaunted Department of Government Efficiency (DOGE) as a version of a familiar Republican cost-cutting, government-shrinking project. The man who took over Twitter and slashed its staff by around eighty per cent would take a similarly aggressive tack against bureaucratic inefficiency, reining in budgets and laying off federal employees. In the past couple of weeks, though, it's become clear that Musk's aim within the Trump Administration goes further: he wants not only to reduce the U.S. government but to install his own technological vision of the future at its heart. To run his agency, Musk brought on a group of tech-company managers and inexperienced twentysomethings whose credentials included internships at SpaceX. We watched as this crew began interrogating federal employees about their jobs, interfering with the system that controls payments at the Treasury Department, and trawling government budgets while Musk used X, the social platform he owns, to call out the agencies and programs in his crosshairs.

Sign up for the Slatest to get the most insightful analysis, criticism, and advice out there, delivered to your inbox daily. There are myriad reasons to loathe Elon Musk, the CEO of Tesla, who has become a top ally of Donald Trump. OG haters have long accused Musk of endangering road users by exaggerating the capabilities of Tesla's navigation assistance systems, misleadingly named Autopilot and Full-Self Driving. The ranks of the angry have steadily grown, fueled by Musk's habit of amplifying trans-bashing and antisemitism as well as his demolition of Twitter. Now, as Musk cozies up to extremists across Europe, wields the Department of Government Efficiency as a wrecking ball against the federal government, and generally acts as an unelected leader, the furor is reaching a fever pitch.

The two had a blowout argument over the future direction of OpenAI – the company they came together to found in 2015 – with Altman seemingly content to pursue a for-profit approach and Musk feeling that was forswearing the founding principles of the firm as well as its name. OpenAI couldn't be open, he reckoned, if it was closed off and trying to make money rather than better humanity. So it's no surprise that Musk, who lodged an audacious bid to take over Twitter a little more than two years ago, which ended up with his ownership of the platform now called X, has sought to put a spoiler in two years of near-untrammelled growth for OpenAI. Musk – who is currently overhauling (to his supporters; "tearing down" to his opponents) the US government to be, as he would describe it, leaner and more efficient while also devastating important programmes such as international aid and cutting-edge scientific research – has lodged a near 100bn bid for OpenAI's non-profit arm. "It's time for OpenAI to return to the open-source, safety-focused force for good it once was," Musk said in a statement supplied by the lawyer shepherding his bid.

U.S. Vice President JD Vance said that the Trump administration will work to make the U.S. the "gold standard worldwide" for artificial intelligence as he issued strong warnings against regulating political speech. Speaking Tuesday to an audience in Paris that included several European Union leaders, he took particular aim at the bloc's tough regulatory approach to social media platforms and AI, accusing it of trying to clamp down on Silicon Valley. "The Trump administration is troubled by reports that some foreign governments are considering tightening the screws on U.S. tech companies with international footprints," Vance said during an AI summit hosted by French President Emmanuel Macron. "Now America cannot and will not accept that, and we think it's a terrible mistake, not just for the United States of America, but for your own countries."

We introduce a new sequential Monte Carlo algorithm we call the particle cascade. The particle cascade is an asynchronous, anytime alternative to traditional sequential Monte Carlo algorithms that is amenable to parallel and distributed implementations. It uses no barrier synchronizations which leads to improved particle throughput and memory efficiency. It is an anytime algorithm in the sense that it can be run forever to emit an unbounded number of particles while keeping within a fixed memory budget. We prove that the particle cascade provides an unbiased marginal likelihood estimator which can be straightforwardly plugged into existing pseudo-marginal methods.

In this paper, we propose a method to perform empirical analysis of the loss landscape of machine learning (ML) models. The method is applied to two ML models for scientific sensing, which necessitates quantization to be deployed and are subject to noise and perturbations due to experimental conditions. Our method allows assessing the robustness of ML models to such effects as a function of quantization precision and under different regularization techniques -- two crucial concerns that remained underexplored so far. By investigating the interplay between performance, efficiency, and robustness by means of loss landscape analysis, we both established a strong correlation between gently-shaped landscapes and robustness to input and weight perturbations and observed other intriguing and non-obvious phenomena. Our method allows a systematic exploration of such trade-offs a priori, i.e., without training and testing multiple models, leading to more efficient development workflows. This work also highlights the importance of incorporating robustness into the Pareto optimization of ML models, enabling more reliable and adaptive scientific sensing systems.