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The Download: the tech reshaping IVF and the rise of balcony solar

MIT Technology Review

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.


Thousands of Vibe-Coded Apps Expose Corporate and Personal Data on the Open Web

WIRED

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.


An extinct human species made surprisingly creative butchery tools

Popular Science

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.


Confirmation of Binary Clustering in Gamma-Ray Bursts through an Integrated $p$-value from Multiple Nonparametric Tests of Hypotheses

arXiv.org Machine Learning

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.


Regime-Conditioned Evaluation in Multi-Context Bayesian Optimization

arXiv.org Machine Learning

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.


Scalable inference of spatial regions and temporal signatures from time series

arXiv.org Machine Learning

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.


Russia tells diplomats to leave Kyiv in case Moscow launches mass strikes

Al Jazeera

What are Russia's gains from the Iran war? 'We are not losers; we are winners' Russia's Ministry of Foreign Affairs says it has warned diplomatic missions to promptly evacuate their staff from the Ukrainian capital, Kyiv, in case Moscow launches a mass strike on the city in response to potential Ukrainian attempts to disrupt Russia's May 9 Victory Day commemorations. In a video posted on Telegram on Wednesday, Russian Foreign Ministry spokeswoman Maria Zakharova urged diplomats to heed the Defence Ministry's warning of a strike, issued on Monday, in the event of a Ukrainian attack during the commemorations of the Soviet Union's victory against Nazi Germany in World War II and a military parade in Red Square. Zakharova said that Ukrainian President Volodymyr Zelenskyy had made "aggressive and threatening statements" about disrupting the commemorations at a meeting of the European Political Community in Armenia on Monday. "Several EU countries were present," she said. In his remarks in Armenia, Zelenskyy noted a Russian announcement that the commemorations were being scaled down and taking place without military hardware for security reasons.


A Kid With a Fake Mustache Tricked an Online Age-Verification Tool

WIRED

To stop children from bypassing its age checks, Meta is revamping its age-verification tools with an AI system that analyzes images and videos for "visual cues," such as height and bone structure. Meta is beefing up its age-verification mechanisms with an AI system that analyzes images and videos on Instagram and Facebook for "visual cues," such as height and bone structure, to identify and delete accounts of users under the age of 13. The company announced the move amid a wave of cases in which hundreds of children have managed to evade social network access restrictions, even through simple tricks such as drawing on a mustache. The new approach is part of a series of measures Meta adopted as part of an AI-based security strategy designed to correct the limitations of traditional methods, which rely heavily on self-reported age. With this change, the company seeks to reduce the ease with which minors access platforms that, in theory, are restricted to them.


Russia cuts mobile internet in Moscow citing drone security concerns

Al Jazeera

What are Russia's gains from the Iran war? 'We are not losers; we are winners' Russia has begun rolling mobile internet shutdowns in Moscow and other cities, which authorities say is to counter drone threats. As Dmitry Medvedenko reports, the measures come ahead of the May 9 Victory Day parade, which has been scaled down this year due to security concerns. Why are Pentagon officials talking about Iran's'deadly dolphins'? Iran'has attained an elevated international standing' says FM Ben-Gvir'dreams' of nooses in video posted to TikTok


Trump's Team Wants Him to Accept an Iran Deal He's Already Rejected

WIRED

As chaotic negotiations over the end of the Iran war continue, US negotiators think they have the framework for a deal in place. Now they just have to sell the president on it. President Donald Trump's negotiators face the arduous task of trying to convince the president that a deal he previously rejected is their best option in Iran . Last month, Trump initially gave his blessing for a so-called "cash for uranium" deal, under which the US would release around $20 billion in frozen funds in exchange for Iran handing over its stockpile of highly enriched uranium, sources familiar with the matter tell WIRED. Trump's negotiators, vice president JD Vance, special envoy Steve Witkoff, and Jared Kushner, Trump's son-in-law, received repeated approvals from the president while they were in Islamabad, giving them confidence a deal was close.