Plus: Trump has postponed an AI order due to overregulation fears. Anthropic's Code with Claude showed off coding's future--whether you like it or not At Anthropic's developer event in London this week, Code with Claude, attendees were asked if they'd shipped code written entirely by Claude. Almost half the room raised their hands. Many admitted they hadn't even read the code before pushing it live. As tools like Claude Code get better, more and more developers are happy to hand their work off to AI. Anthropic says it wants to push automation as far as it will go. But not everyone is convinced that's the right approach.

Police probe Andrew Mountbatten-Windsor over'sex offences': Stunning update on investigation of former prince as officers appeal for potential'victim survivors' to come forward Trump celebrates Stephen Colbert's final show with brutal'no talent' swipe as bitter host takes one last jab at CBS on way out door Trump warns of possible military action in Cuba and says'I'd be happy to do it' as Marco Rubio declares the nation a'US national security threat' Dangerous truth about melatonin side effects... the astonishing dose you SHOULD be taking... and a new natural grocery store alternative hailed by doctors CIA Nostradamus warned Trump about Iran... now he's calling the President's doctors. Dirty secret Hollywood's Cool Girls don't want you to know. Mom-of-two abandons home in Pennsylvania to live on board CRUISE SHIP year-round - and her kids have'zero concept' their life isn't normal This quiet announcement from Prince William was missed by most... but this is why royal insiders tell me it spells disaster for Harry and Meghan's future: RICHARD EDEN White man charged after he was filmed screaming at black female neighbor and using the phrase'You people' Shock moment'slurring' Britney Spears is arrested for DUI after failing sobriety test Astonishing secret list of elite Hollywood liberals conspiring to elect Spencer Pratt revealed to KENNEDY by her LA moles. Suspected Somali fraudster filmed leaping off Minnesota balcony and driving away in luxury Genesis sedan after feds announced they were charging him with alleged $3.3m scam Inside Pizza Hut restaurant that's still EXACTLY like it was in the 90s... complete with checkered tablecloths, arcade and famous buffet Stephen Colbert's final Late Show episode leaves fans unimpressed as Ryan Reynolds leads series of surprise celebrity cameos How Meryl Streep's husband really feels about her secret relationship with Martin Short: Their years of agony... his hard red line... and why she won't divorce him Look away now, Carrie Bradshaw! Fears for Ariana Grande: Insiders lift the lid on Ethan Slater's costly sacrifice... her private nightmares... and what's really keeping them apart Inside the UK's first AI-powered fertility clinic using state-of-the-art technologies to help women get pregnant - as one couple says'artificial intelligence allowed us to hold our baby in our arms' If you were asked to think about artificial intelligence ( AI), visions of killer robots, dodgy chatbots, or deepfakes might spring to mind.

We study the problem of selecting covariates for unbiased estimation of the total causal effect.Existing approaches typically rely on global causal structure learning over all variables, or on strong assumptions such as causal sufficiency - where observed variables share no latent confounders - or the pretreatment assumption, which limits covariates to those unaffected by the treatment or outcome. These requirements are often unrealistic in practice, and global learning becomes computationally prohibitive in high-dimensional settings.To address these challenges, we propose a novel local learning method for covariate selection in nonparametric causal effect estimation that avoids both the pretreatment and causal sufficiency assumptions. We first characterize a local boundary that contains at least one valid adjustment set whenever one exists for identifying the causal effect, and then develop local identification procedures to efficiently search within this boundary.We prove that the proposed method is sound and complete. Experiments on multiple synthetic datasets and two real-world datasets show that our approach achieves accurate causal effect estimation while substantially improving computational efficiency.

Confidence calibration for classification models is vital in safety-critical decision-making scenarios and has received extensive attention. General confidence calibration methods assume training and test data are independent and identically distributed, limiting their effectiveness under covariate shifts. Previous calibration methods under covariate shift struggle with class-wise or canonical calibrations and often rely on unstable importance weighting when density ratios are large or unbounded. Given the above limitations, this paper rethinks confidence calibration under covariate shifts. First, we derive a necessary and sufficient condition for confidence calibration under covariate shifts, named Expectation consistency condition, which reveals covariate shifts do not necessarily lead to uncalibrated confidence and provides a weaker condition for confidence calibration than global covariate distribution alignment. Then, utilizing Expectation consistency condition, this paper proposes an unsupervised domain adaptation loss to calibrate confidence of the target domain, named Expectation consistency loss (ECL), which is compatible with canonical calibration, class-wise calibration, and top-label calibration. Third, we prove that computing ECL loss has the same sample complexity as Expected Calibration Error (ECE) and provide a theoretically grounded mini-batch trainable scheme for ECL loss. Finally, we validate the effectiveness of our method on both simulated and real-world covariate shift datasets.

Accurate modeling of aerodynamic loads is essential for understanding and predicting the responses of complex structural systems. However, these models often rely on simplifications of the true physical forces, introducing assumptions that can limit their accuracy. Validating such models becomes particularly challenging in the presence of noisy or incomplete data. To address this, we introduce a probabilistic physics-informed machine learning approach designed to reconstruct the underlying aerodynamic loads from noisy measurements of structural dynamic responses. The model avoids overfitting, eliminates the need for regularization schemes, and allows for the use of heterogeneous and multi-fidelity data during the training process. The efficacy of the approach is demonstrated through the reconstruction of aerodynamic loads on the Great Belt East Bridge, simulated under a linear unsteady assumption. Results show a strong agreement between true and predicted loads, particularly related to root mean squared errors, magnitude, phase angle and peak values of the signals. The method for load reconstructing holds broad applicability, such as modeling validation, future load estimation, and structural damage prognosis.

Minka Kelly uncorks a heater at 45, ABS backfires spectacularly and LSU parents vs a security guard! Robot's lifeless corpse hauled off stage after fall during disastrous Michael Jackson impression Bear cubs spar on woman's front porch in adorable viral nature video, reactions pour in Show Tiffany Stratton some respect -- a boob job doesn't mean the WWE champ is made of plastic Britney Spears stuns with a post-plea deal Instagram dance, college baseball HOT mic & is this dream normal? Landlord in a tenant's home for repairs was caught on a security camera getting it on with a woman instead Paige Spiranac continues her generational golf content influencing run in 2026, Mike Alstott is ripped & MEAT! 'World's sexiest fan' drops her World Cup anthem and here's why you never assist a bike thief Wearing only a watch, a headlamp and flip-flops isn't a great disguise when trashing a neighbor's motion light Stephen Miller: The American people rejected'third world' Democratic policies by voting for Trump Former CENTCOM commander'concerned' about Iran's residual military capabilities Wall Street titans sound alarm on Mamdani's'reckless' targeting of top employers Retired general says Iran is fighting a'war of resistance' Kevin Warsh's potential Fed chairmanship sparks economic debate on inflation Minnesota fraud mastermind sentenced to 41.5 years in prison OutKick-Culture Selena Gomez is reportedly bringing her talents to award-winning director's new four-hour X-rated movie Don't let reports that Selena Gomez is going to be starring in an X-rated movie fool you. This isn't going to be a poorly produced amateur-level movie thrown together with someone who doesn't know what they're doing. It's also not a sex tape, for the folks who can't get their act together.

Selena Gomez is reportedly bringing her talents to award-winning director's new four-hour X-rated movie Minka Kelly uncorks a heater at 45, ABS backfires spectacularly and LSU parents vs a security guard! Robot's lifeless corpse hauled off stage after fall during disastrous Michael Jackson impression Bear cubs spar on woman's front porch in adorable viral nature video, reactions pour in Show Tiffany Stratton some respect -- a boob job doesn't mean the WWE champ is made of plastic Britney Spears stuns with a post-plea deal Instagram dance, college baseball HOT mic & is this dream normal? Landlord in a tenant's home for repairs was caught on a security camera getting it on with a woman instead Paige Spiranac continues her generational golf content influencing run in 2026, Mike Alstott is ripped & MEAT! 'World's sexiest fan' drops her World Cup anthem and here's why you never assist a bike thief Wearing only a watch, a headlamp and flip-flops isn't a great disguise when trashing a neighbor's motion light Stephen Miller: The American people rejected'third world' Democratic policies by voting for Trump Former CENTCOM commander'concerned' about Iran's residual military capabilities Wall Street titans sound alarm on Mamdani's'reckless' targeting of top employers Retired general says Iran is fighting a'war of resistance' Kevin Warsh's potential Fed chairmanship sparks economic debate on inflation Minnesota fraud mastermind sentenced to 41.5 years in prison President Tiffany Hernandez said the school was'using a new AI system as our reader' and called it'a lesson learned' Kurt Knutsson discusses growing public backlash against AI, including former Google CEO Eric Schmidt being booed at a University of Arizona commencement. He further discusses the development of artificial eggs that could revive dead species. I'll be honest with you guys, I don't know what to make of my feelings toward artificial intelligence, because my mood on the subject changes by the day.

Staff at WiseTech have been waiting months to be told if they are among the employees the company is to cut due to advances in AI. Staff at WiseTech have been waiting months to be told if they are among the employees the company is to cut due to advances in AI. WiseTech begins redundancies - but omits'AI' from emails to Chinese employees, workers say WiseTech has begun informing staff that they will lose their jobs as part of redundancies the company has said is due to artificial intelligence advancements - although an email to staff in China omitted the word "AI" after a court case against another company in the country. Staff at WiseTech have been waiting almost three months to be told if they are among the 2,000 people the logistics software company is to cut due to advances in AI. The Australian Stock Exchange-listed company announced in late February it would lay off almost 30% of its 7,000-strong workforce across 40 countries.

It's now one of the 10 countries where (supervised) FSD is now available. Tesla's Full Self-Driving (FSD) driver-assistance system is now available in China . In a post on X, Tesla listed China as one of the 10 countries wherein FSD is already available. The company is, of course, talking about the supervised version of the technology, seeing as unsupervised FSD is still not available to the public. On Tesla's Chinese website, the company lists intelligent assisted driving as an add-on option for Tesla Model 3. It will cost customers in the country a one-time fee of 64,000 yuan ($9,410) on top of the vehicle itself.

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