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What could new rights for unmarried couples mean for your money? When Amelia's fiance died suddenly in his 20s, just months before their wedding, she never imagined the legal and financial turmoil that would follow. I lost him, she says, and then I lost everything we'd ever built together. The couple had been together more than seven years and shared a business. But they were not married and Simon did not have a will, so his mother and father inherited all of his assets - apart from the couple's house - and Amelia was unable to stop them.

During negotiations on Wednesday, employees voiced frustrations with what they consider an unwillingness among senior DeepMind executives to engage meaningfully with the prospect of unionization. Negotiations between Google DeepMind and its London-based employees over the possibility of unionization stumbled this week, after initial talks left union representatives feeling they had wasted their time, WIRED has learned. In May, DeepMind employees asked Google to recognize the Communication Workers Union and Unite the Union as joint representatives. The company later denied that request, but agreed to participate in negotiations arbitrated by a third-party body. An initial meeting on Wednesday was attended by union officers, DeepMind employees involved in the unionization push, the third-party arbitrator, and DeepMind HR representatives.

Parents warned not to publicly share children's images amid AI abuse risks Parents should not publicly post images of their children online due to the growth of AI-generated abuse imagery, the National Crime Agency (NCA) has warned. Along with the Internet Watch Foundation (IWF), it said there is a growing threat of children's images online being used to create child sexual abuse material (CSAM). More than 8,000 AI-generated images and videos of realistic child sexual abuse were identified by the IWF in 2025, it said - adding this was a 14% increase on the year before. While we and policing colleagues tackle offenders, prevention remains vital, said Tim Wright, a senior manager at the NCA. In partnership with the IWF, the organisation has released fresh guidance for parents outlining steps they can take to help keep their children safe online.

Jamir Nazir, the controversial winner of the Commonwealth award, tells his side of the story. Jamir Nazir has become the face of the AI-writing crisis. In May, the largely unknown 62-year-old Trinidadian writer was named a regional winner of the prestigious Commonwealth Prize for his short story " The Serpent in the Grove " But after it was published in the literary magazine, signs began to emerge that the story--about a cocoa farmer who cheated on his wife, and then tried to kill her--may have been AI-generated. Inscrutable lines plucked from Nazir's dense prose were mocked and memed. A young woman in the story "had the kind of walking that made benches become men."

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Follow the day's latest updates Court approves $23.5m fine and costs order against ASX Shadow arts minister says AI companies need to do what everyone else does: 'ask permission and pay for it' Albanese defends gambling reforms, says he's'not against someone having a punt' Pocock says it's'tragic' gambling reforms don't go nearly far enough Shadow arts minister says AI companies need to do what everyone else does: 'ask permission and pay for it' If AI companies want to use Australian creative work, they should do what everyone else does: ask permission and pay for it. Australian creativity is one of our greatest national assets - not a free resource for multinational tech companies. The Coalition will always back the right of artists to control their work and be fairly compensated when others profit from it. This is about consent, fairness and respect for Australian creativity. Court approves $23.5m fine and costs order against ASX Shadow arts minister says AI companies need to do what everyone else does: 'ask permission and pay for it' Albanese defends gambling reforms, says he's'not against someone having a punt' Pocock says it's'tragic' gambling reforms don't go nearly far enough Court approves $23.5m fine and costs order against ASX A federal court judge has ordered the ASX operator to pay $23.5m in penalties and costs after the company admitted to making a misleading statement about a troubled upgrade for technology required to run the stock exchange.

We propose a scaling law that takes into account model size and training data while explicitly splitting the latter into training steps and batch size (called three-term law). Fitting the proposed law on a large set of training runs, we find that it correctly recovers the scaling of the optimal batch size. Moreover, because it makes use of training runs with suboptimal batch size, our proposed law can be robustly fit with a significantly smaller amount of training runs. We further show that the three-term law can be used to derive scaling laws for suboptimal batch sizes, and that it matches previous empirical findings related to the critical batch size.

Prediction under label shift becomes nonstandard when responses are censored. In a two-sided censored Gaussian model, latent values below $L$ and above $U$ are recorded at the boundary values, so the observed predictive distribution is mixed, with atoms at $L$ and $U$ and a continuous density on $(L,U)$. In this paper we develop conformal Bayes for this mixed-space setting by combining posterior predictive tilting with weighted conformal calibration. Under a two-sided Tobit Gaussian Bayesian prediction head with a Laplace posterior approximation, the tilted predictive distribution has left-atom, interior, and right-atom components, with a three-term closed-form normalizer. The resulting prediction set is a mixed highest density region that can combine boundary atoms with an interior interval and can reduce to atom-only sets under strong censoring. The main technical issue is that latent label shift does not directly give an ordinary density ratio on the observed censored scale. A latent exponential tilt induces tail-averaged atom weights at the censored boundaries, while the interior ratio remains density based. This yields a mixed observed-space calibration weight with two atom ratios and one interior density ratio. The weight corrects the calibration measure, while predictive tilting gives target-adapted mixed-HDR geometry. Synthetic experiments show that weighted tilted conformal Bayes restores marginal coverage with smaller sets than weighted source-score calibration, while revealing a trade-off between marginal coverage and component-wise behavior across atoms and interior observations.