Doctor's awful mistake led to five days of agony, amputation and eventual death for promising young high school graduate, 18, $100m lawsuit alleges I was so fat I needed two plane seats. Then I lost 208lbs and kept it off for 10 YEARS using'nature's Ozempic' supplement. It was so effortlessly effective... and I could even still eat chocolate! I've discovered the perfect'type' of man that'll drive any woman crazy. The sex is so good, it's ruined every other guy for me: JANA HOCKING Leaked CIA Iran war dossier shreds Trump's boasts... as chilling intel reveals vast missile arsenal Young family were beaming picture of happiness... then affair scandal erupted and three of them were found dead Apple to pay iPhone owners $250 million settlement over claims of false advertising... see if you qualify Why this photo of Princess Charlotte has left Harry'very sad': Friends tell RICHARD EDEN all about his plan for Archie and Lili... and why Meghan has become a'challenge' Panic over SIX Americans who returned to US from deadly rat virus ship... as health officials scramble to find infected all over the world Trump's bombshell private admission sends grim warning to Netanyahu as Israel braces for reckoning Deeply personal reason Aaron Rodgers may have to suddenly retire from NFL... and forgo $15 million for mystery wife Blake Lively and Justin Baldoni's battle continues as she demands he pay legal fees for his failed defamation lawsuit days after their shock settlement Billionaire, 70, settles bitter yearslong divorce with ex-wife after shacking up with new fiancée who's almost half his age I survived hantavirus that's spreading on the cruise ship.

When you purchase through links in our articles, we may earn a small commission. This'anti-goal' prompt trick keeps ChatGPT from going rogue A simple prompt structure using XML tags can stop ChatGPT, Claude, and Gemini from doing things you never asked for. All too often, ChatGPT, Claude, and Gemini overstep their instructions because they're so focused on making you happy. For example, an AI may jump ahead and completely rewrite a document when all you wanted was some focused feedback, or it may draft a brand-new recipe when you just wanted help substituting an ingredient. You might think the solution is to tell the AI chatbot what it do in your prompt.

A Buddhist temple in Seoul introduced South Korea's first humanoid robot monk ahead of celebrations for Buddha's birthday. The robot, named Gabi, bowed, prayed and pledged to devote itself to Buddhism during an ordination ceremony at Jogye Temple. US court releases alleged Jeffrey Epstein'suicide note' Iran's stance on US war negotiations explained

US court releases alleged Jeffrey Epstein'suicide note' NewsFeed US court releases alleged Jeffrey Epstein'suicide note' 'It is a treat to be able to choose one's time to say goodbye.' A US court has released what it says is the'suicide note' of Jeffrey Epstein, in the latest development related to the suspicion surrounding the death of the convicted sex offender. Iran's stance on US war negotiations explained

Plus: After years of insults, Anthropic and SpaceX have teamed up. IVF has brought millions of babies into the world over the last four decades. But the process can still be slow, painful, and expensive--and far from guaranteed to work. Now, a wave of new technologies aims to change that. Researchers are using AI to identify promising sperm and embryos, developing robotic systems that could automate parts of the IVF process, and even exploring controversial genetic editing techniques designed to prevent inherited disease. The technologies could make IVF more effective and accessible.

Companies like Lovable, Base44, Replit, and Netlify use AI to let anyone build a web app in seconds--and in thousands of cases, spill highly sensitive data onto the public internet. As AI increasingly takes over the work of modern programmers, the cybersecurity world has warned that automated coding tools are sure to introduce a new bounty of hackable bugs into software. When those same vibe-coding tools invite anyone to create applications hosted on the web with a click, however, it turns out the security implications go beyond bugs to a total absence of any security--even, sometimes, for highly sensitive corporate and personal data. Security researcher Dor Zvi and his team at the cybersecurity firm he cofounded, RedAccess, analyzed thousands of vibe-coded web applications created using the AI software development tools Lovable, Replit, Base44, and Netlify and found more than 5,000 of them that had virtually no security or authentication of any kind. Many of these web apps allowed anyone who merely finds their web URL to access the apps and their data.

Our cousins'Homo juluensis' knew how to adapt in the face of an ice age. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. One of the 146,000-year-old stone cores used to make butcher's tools, found in Lingjing, China. Breakthroughs, discoveries, and DIY tips sent six days a week. A remarkable collection of ancient stone tools proves that human creativity can thrive in challenging times.

The paper applies a new, nonparametric, interpoint distance-based measure to confirm the inherent groups prevailing in the brightest source of light in the universe: gamma-ray bursts. Our effective metric, in association with clustering methods like Gaussian-mixture model-based and $K$-means algorithms, resolves the conflict regarding the possibility about existence of more than binary clusters in the gamma-ray burst population. Here we carry out multiple nonparametric statistical tests of hypotheses, as many as the number of bursts available from the `BATSE' catalog. An integrated $p$-value achieved from the aforesaid dependent tests solves our concern confirming two groups of short and long bursts.

Published transfer-BO comparisons often estimate an average treatment effect of acquisition choice over hidden regime variables, while practitioners need the conditional effect for their specific prior quality, budget ratio, and metric. An audit of 40 transfer-BO papers from NeurIPS, ICML, ICLR, AISTATS, UAI, TMLR, JMLR, and AutoML-Conf (2022-2025) finds that 98% never vary B/|A| as a controlled axis. On the same GDSC2 benchmark, changing only the budget reverses the ranking: at B=50, Greedy outperforms UCB by 0.050 Hit@1, while at B=100, UCB outperforms Greedy by 0.035. We capture this transition with the Portable Regime Score PRS=(B/|A|)(1-rho), where rho is the prior rank correlation and can be estimated from pilot contexts before the main comparison. Across 79 conditions spanning chemistry, drug-response biology, and HPO, a hierarchical model gives beta=0.50 (p=1.1e-9), and 19% of conditions fall in an equivalence zone where |advantage|<0.01 Hit@1. In five published reversal cases, PRS predicts the winner from pre-comparison observables. A No-Free-Leaderboard proposition explains why unconditional rankings are unstable: when CATE changes sign across regimes, the reported ATE becomes a function of benchmark mixture. RegimePlanner, which estimates rho online and switches acquisition accordingly, wins all 16 HPO-B search spaces at B=100 and exceeds the matched {Greedy,UCB} per-context oracle on GDSC2 by 18%. Pre-registered predictions achieve 27/40=67.5% overall accuracy and above 90% within EMA prior families. The practical protocol is simple: report B/|A|, rho, K, and metric alongside any claimed acquisition advantage.

Regionalization aims to partition a spatial domain into contiguous regions that share similar characteristics, enabling more effective spatial analysis, policy making, and resource management. Existing approaches for spatial regionalization typically rely on static spatial snapshots rather than evolving time series. Meanwhile, most time series clustering methods ignore spatial structure or enforce spatial continuity through ad hoc regularization, constraining the number of inferred regions a priori either explicitly or implicitly. Utilizing the minimum description length principle from information theory, here we propose an efficient and fully nonparametric framework for the regionalization of spatial time series. Our method jointly infers a spatial partition along with a set of representative time series archetypes ("drivers") that best compress a spatiotemporal dataset, with a runtime log-linear in the number of time series. We demonstrate that this method can accurately recover planted regional structure and drivers in synthetic time series, and can extract meaningful structural regularities in large-scale empirical air quality and vegetation index records. Our method provides a principled and scalable framework for spatially contiguous partitioning, allowing interpretable temporal patterns and homogeneous regions to emerge directly from the data itself.