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For decades, one of Canada's biggest selling points to foreign investors was its access to the world's largest economy next door. Prime Minister Mark Carney is now trying to sell something bigger -- to bet on Canada itself. The invitation-only meeting will bring some of the world's largest pension and sovereign wealth funds and asset managers together with corporate executives, Canadian premiers and federal officials. Carney, a former central banker with deep ties to the global investment world, wants them to put money into everything from mines and pipelines to ports, artificial intelligence and advanced manufacturing. It is part of a much bigger push to catalyse $1 trillion in investment in Canada over the next five years, with about $280bn in public investment and government incentives to help draw in private and institutional capital.

The Bank governor recently told City bosses: 'No country can seal itself off from the cross-border nature of systems that are prevalent today.' The Bank governor recently told City bosses: 'No country can seal itself off from the cross-border nature of systems that are prevalent today.' Andrew Bailey warns G20 members about risk of cyber-disruption spreading'across jurisdictions' The Bank of England's governor, Andrew Bailey, has joined the throng of figures warning about the global risks posed by the most advanced artificial intelligence technology. In a two-page letter sent to international finance ministers and central bank governors as part of his role as chair of the international Financial Stability Board (FSB), Bailey said "frontier" AI models were "showing increasingly sophisticated autonomy and problem-solving abilities, as well as threat capabilities". He said the models risked destabilising the "highly interconnected" global financial system via cyber-disruption that "can spread across jurisdictions".

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What is Lebanon's Beaufort Castle? Why is Israel attacking Nabatieh? Two people have been injured in an Israeli drone strike on a pick-up truck in southern Lebanon, according to state-run media, the latest attack despite a United States-brokered framework agreement intended to pave the way for a phased Israeli withdrawal. The drone struck the vehicle as it was unloading garbage on the outskirts of the towns of Choukine and Kfar Dajjal in the Nabatieh district early on Friday, Lebanon's National News Agency (NNA) said. Later, NNA reported drones also targeted the towns of Kfar Reman and Nabatieh al-Fawqa.

Emerging ethical approaches have attempted to filter pretraining material, but such approaches have been ad hoc and failed to take context into account. We offer an approach to filtering grounded in law, which has directly addressed the tradeoffs in filtering material.

We introduce the Cambridge Law Corpus (CLC), a corpus for legal AI research.

As prediction market platforms like Polymarket and Kalshi battle regulators in court, Senate Democrats are urging the CFTC to avoid weighing in, escalating a broader fight over the burgeoning industry. Senator Adam Schiff, a Democrat from California, is leading the group of lawmakers urging the CFTC to stay out of state prediction market lawsuits. A group of 23 Democratic US senators sent a letter Friday to the top federal regulator overseeing prediction markets, urging the agency to avoid weighing in on pending court cases over the legality of offerings on the platforms tied to "sports, war, and other prohibited events." Prediction markets, which sell contracts tied to the outcome of real-world developments, have exploded in popularity over the past year, attracting an increasingly mainstream fanbase eager to wager on everything from geopolitical conflicts to fashion choices to the Super Bowl. As they expanded, the platforms have become a magnet for ethical and legal controversies.

X to block Grok AI's undressing feature | Digital Dilemma The mother of one of Elon Musk's children is suing his artificial intelligence company, saying its Grok chatbot allowed users to generate sexually-exploitative deepfake images of her that have caused her humiliation and emotional distress. The lawsuit was filed just before California Attorney General Rob Bonta sent a cease-and-desist letter to Musk's xAI company demanding that it stop the creation and distribution of Grok-generated nonconsensual sexualised imagery . Ashley St Clair, a writer and political commentator, alleges in a lawsuit filed on Thursday in New York City against xAI that she was the victim of sexualised deepfake images generated by Grok. St Clair, who is the mother of Musk's 16-month-old son, Romulus, said she reported the images to Musk's X social media platform, which hosts Grok, after they began appearing last year and asked that they be removed. The platform replied that the images did not violate its policies, she said.

Frontier model progress is often measured by academic benchmarks, which offer a limited view of performance in real-world professional contexts. Existing evaluations often fail to assess open-ended, economically consequential tasks in high-stakes domains like Legal and Finance, where practical returns are paramount. To address this, we introduce Professional Reasoning Bench (PRBench), a realistic, open-ended, and difficult benchmark of real-world problems in Finance and Law. We open-source its 1,100 expert-authored tasks and 19,356 expert-curated criteria, making it, to our knowledge, the largest public, rubric-based benchmark for both legal and finance domains. We recruit 182 qualified professionals, holding JDs, CFAs, or 6+ years of experience, who contributed tasks inspired by their actual workflows. This process yields significant diversity, with tasks spanning 114 countries and 47 US jurisdictions. Our expert-curated rubrics are validated through a rigorous quality pipeline, including independent expert validation. Subsequent evaluation of 20 leading models reveals substantial room for improvement, with top scores of only 0.39 (Finance) and 0.37 (Legal) on our Hard subsets. We further catalog associated economic impacts of the prompts and analyze performance using human-annotated rubric categories. Our analysis shows that models with similar overall scores can diverge significantly on specific capabilities. Common failure modes include inaccurate judgments, a lack of process transparency and incomplete reasoning, highlighting critical gaps in their reliability for professional adoption.