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US announces tariffs on dozens of trade partners over'forced labour' imports The US is imposing new tariffs on imports from around 60 trading partners over claims they failed to properly stop forced labour. They go into effect on Friday. The move is the latest escalation in the global trade war reignited by US President Donald Trump when he returned to office last year. The US Supreme Court ruled earlier this year that many of the tariffs imposed globally under emergency powers were illegally enacted. So the president has since sought other legal avenues to pursue his flagship trade policy.

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The Commerce Department has lifted their export restrictions. The US government has lifted its export ban on Anthropic's Mythos 5 and Fable 5, allowing the company to give its customers access to the AI models again. If you'll recall, the government ordered Anthropic to suspend all foreign nationals' access to its newly launched AI models, even if they were in the US and working for the company itself, a couple of weeks ago. In response, Anthropic blocked all access to Mythos and Fable to ensure that it's complying with government demands. Now, the company has announced on X that it will start restoring access to its AI models tomorrow, July 1, after receiving permission from the Department of Commerce.

AI maker Anthropic says the US government has lifted an export ban on its powerful Mythos and Fable systems. AI maker Anthropic says the US government has lifted an export ban on its powerful Mythos and Fable systems. Anthropic has said the US commerce department has lifted export controls on its Fable and Mythos AI models, less than three weeks after the company was ordered to suspend access to its most advanced AI models over national security risks. "We'll begin restoring access tomorrow," Anthropic said in a statement on X late on Tuesday. US authorities blocked access to the models on national security grounds several weeks ago, but in a letter to Anthropic seen by Reuters, US commerce secretary Howard Lutnick, said the export controls were withdrawn and that a licence was no longer required for their export.

We study sparse semi-continuous tensor data with excess zeros, heavy right tails, and slice-specific dispersion. Such features arise naturally in monetary-valued multi-way data, such as international trade, where most exporter--importer--product--year cells are zero while positive values are continuous and highly variable. To model these data, we propose a Bayesian hierarchical tensor factorization model that places a low-rank CP structure on a latent Poisson rate tensor and couples it with a conditional Gamma model for positive outcomes, with rate parameters that can vary across slices within a mode. The model therefore separates the occurrence and magnitude of positive observations while borrowing strength across all tensor dimensions through a shared low-rank latent structure. To scale posterior inference to large arrays, we develop a hybrid variational--Monte Carlo algorithm that combines efficient coordinate ascent updates with a partially collapsed augmented-data sampler. Applied to approximately 60 million trade flows, the method surfaces multiway dependence across exporters, importers, products, and years that is difficult to recover from gravity-type or pairwise network analyses, which do not jointly model the product and temporal dimensions.