When you purchase through links in our articles, we may earn a small commission. Thresholds over 0.8 inches are an obstacle The Roborock Qrevo Edge 2 is a great pick if you have low furniture and lots of edges to clean, but its limited threshold clearance and lack of automatic cleaning-solution dispensing keep it from being an all-around winner. Robot vacuum cleaners with a slim design have (so far) been largely limited to expensive flagship models. The Roborock Qrevo Edge 2 brings this design to a much more affordable price. That said, Roborock still includes key convenience features like the extendable side brush, lifting mop pads, and a mostly self-cleaning dock. Our test shows just how the savings in chassis design, obstacle detection, and cleaning solution dispensing affect everyday use, as well as the advantages of the low profile design. The robot measures 13.9 13.9 3.1 inches and weighs 9.9 pounds.

University applicants in England will be given clearer information about student loans before they take them out, the government has said. Ministers said they would spell out that governments can change repayment rules and that different career choices can affect how much borrowers repay. They agreed to some but not all of the recommendations made by MPs after an inquiry into student loans, and did not say whether they would reverse a freeze to the repayment threshold for some graduates. The inquiry found the way loans had been presented to teenagers amounted to mis-selling, after the BBC revealed the Department for Education (DfE) had compared repayments to £30-a-month phone contracts. The recent debate has centred around Plan 2 loans, which were issued in England between September 2012 and July 2023, and are still issued in Wales.

The signing of the Paris Agreement by 200 countries in 2015 was a rare moment of global unity, and the euphoria was real. To cheers and tears, the international climate treaty was approved by nearly every country in the world. Fundamental to the agreement was a commitment to keeping temperatures from rising beyond 1.5C (2.7F) above the pre-industrial levels of the mid 19th-century. But 11 years on, it is evident that the Earth is soon going to exceed that threshold because of the continued record burning of fossil fuels. A report from the United Nations Environment Programme (UNEP) in Nairobi, Kenya - called Limiting Overshoot - has found that even under the most optimistic scenario, the Earth will heat up by 1.8C (3.2F) above pre-industrial levels.

Trending Now Say More Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Switch Off Creator Playbook Mashable Voices Mashable Selects Safety Net Versus Gift Ideas For Everyone On Your List In My Bag All Series OpenAI confirms Astra has reached'critical' cyber threshold, but will be available soon OpenAI previously paused some work on Astra due to safety concerns. Timothy Beck Werth is the Tech Editor at Mashable, where he leads coverage and assignments for the Tech and Shopping verticals. Tim has over 15 years of experience as a journalist and editor, and he has particular experience covering and testing consumer technology, smart home gadgets, and men's grooming and style products. Previously, he was the Managing Editor and then Site Director of SPY.com, a men's product review and lifestyle website. As a writer for GQ, he covered everything from bull-riding competitions to the best Legos for adults, and he's also contributed to publications such as The Daily Beast, Gear Patrol, and The Awl. OpenAI confirmed on Tuesday that its unreleased Astra model has reached a dangerous new milestone, while simultaneously confirming that it was forging ahead with a public launch.

Trending Now Say More Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Switch Off Creator Playbook Mashable Voices Mashable Selects Safety Net Versus Gift Ideas For Everyone On Your List In My Bag All Series OpenAI provided an update about the release of Astra, and what precautions it's taking. Timothy Beck Werth is the Tech Editor at Mashable, where he leads coverage and assignments for the Tech and Shopping verticals. Tim has over 15 years of experience as a journalist and editor, and he has particular experience covering and testing consumer technology, smart home gadgets, and men's grooming and style products. Previously, he was the Managing Editor and then Site Director of SPY.com, a men's product review and lifestyle website. As a writer for GQ, he covered everything from bull-riding competitions to the best Legos for adults, and he's also contributed to publications such as The Daily Beast, Gear Patrol, and The Awl. Do you understand quantum parallel repetition?

Bill Gates says we've passed AI's danger thresholds. In a new interview, the billionaire philanthropist sounds an alarm on the urgency of getting our AI policies in order. The temperature is in the mid-80s, and the sky is incapable of being any more blue. The view from the Gates Ventures conference room overlooks the Carillon Point Marina, where a flotilla of expensive boats bob in the water, and across the lake to the Olympic Mountains that define the horizon. Because if the scene is placid, the messenger is not. Seated across from me at a conference room table, Bill Gates is rocking back and forth in his chair, totally animated. And the more he has to say--about the threats of terror or economic collapse or just losing control of our AI systems--the more agitated I find myself becoming, too. The philanthropist and former Microsoft CEO says he has been growing increasingly alarmed by the rate of change at which AI technology is advancing, especially since guardrails are not keeping pace. In a new essay published today, Gates argues that we have passed the points where multiple potential dangers should have been checked. "We've crossed the threshold in terms of [AI's] bio-capabilities, cyber-capabilities, psychosocial capabilities, job-market-destruction capabilities, and even the lack of control," he said in an interview with about his new memo "I'm just stunned at the lack of concern and discussion outside of the industry." In an effort to wake the world up to what he sees as a rapidly growing societal disrupter, the 70-year-old tech titan has begun sounding the alarm as a "shrill voice," both publicly with his new essay (the first of multiple he plans on the topic) and in meetings with the press, and privately in conversations with industry, government, and civil society leaders. And while Gates is calling attention to a number of issues, his warnings about the bio-capabilities of the current frontier models are especially chilling. "Any model that can make novel molecules should be monitored," he says.

Senator Bernie Sanders speaks to a crowd at the Texas Democratic convention at the Hilliard Center in Corpus Christi, Texas, on 27 June 2026. Senator Bernie Sanders speaks to a crowd at the Texas Democratic convention at the Hilliard Center in Corpus Christi, Texas, on 27 June 2026. Bernie Sanders calls on Silicon Valley to'pause AI development' in interest of humanity Progressive US senator urges Meta, OpenAI and Anthropic to'stop building machines that humans cannot control' Senator Bernie Sanders has called on Meta, OpenAI and Anthropic executives to halt their development of artificial intelligence, warning that the US Senate will implement regulation if the companies continue deploying AI at their current pace. In a new letter addressed to the CEOs of three of the country's leading AI companies, Sanders said the capabilities of these AI models have reached a critical risk threshold and that the companies are losing control over the technology. Altman, Mr. Amodei and Mr. Zuckerberg: In the interest of humanity, stand by your words.

When you purchase through links in our articles, we may earn a small commission. The unreleased Astra model may possess "critical" cybersecurity abilities, OpenAI warns. Less than a week after touting the scientific achievements of Astra, its next "major" model, OpenAI says it's "pausing internal activities" related to the model due to its powerful cybersecurity abilities. "Our latest internal evaluations of Astra, one of our upcoming models, over the past few days indicate significant advancements in agentic coding and cybersecurity," OpenAI stated in a Friday press release . "These results, in addition to expert assessments, have led us to conclude last night that we cannot rule out critical cyber capabilities under our Preparedness Framework ."

Conditional inference trees (CIT) and conditional inference forests (CIF) reduce split-selection bias by testing features before choosing split thresholds, but repeated permutation tests and threshold searches can make these methods computationally expensive. We study CIT and CIF as top-$k$ feature-ranking methods for downstream prediction using real-data benchmarks, runtime ablations, and synthetic feature-recovery experiments. At a fixed node, if the features and permutation budget do not depend on the node responses, Bonferroni-corrected $+1$ Monte Carlo permutation $p$-values control nodewise rejection under the complete permutation null. CIF ranks 4th among 17 classification methods on 22 datasets and 3rd among 18 regression methods on 8 datasets. With Bonferroni correction held fixed, the CIF runtime ablations indicate that adaptive stopping and the number of thresholds searched have the largest measured effect on runtime: turning off adaptive stopping and using exact threshold search increase fitting time by 4.0--8.4$\times$ and 1.9--10.8$\times$, respectively, while downstream score changes are at most 0.011. Sparse high-$p$ simulations indicate that forest feature sampling can leave informative features out of many split decisions. Overall, the results support CIF as a top-$k$ feature-ranking method in the evaluated downstream prediction benchmarks.

Computational models in science and engineering are often assessed by checking whether the residual norm is consistent with the assumed noise level. This can be misleading in smoothing inverse problems: structured model errors may be attenuated in observation space, leaving residual magnitudes below practitioner discrepancy thresholds while coherent residual patterns remain. As a result, residual-norm diagnostics can accept fitted models that still give biased parameters, predictions, or quantities of interest. We propose a structure-sensitive sequential diagnostic based on e-processes. The method uses a portfolio of spatial residual-pattern experts, updates their likelihood-ratio wealth as observations are processed, and rejects the fitted model when the aggregate wealth crosses a prescribed threshold, giving anytime-valid type-I error control for a fixed fitted model. We compare the method with Morozov discrepancy checks, fixed-sample residual tests, and batch projection tests. Across three inverse problems (elliptic diffusion, two-dimensional Stokes flow, and a glaciological ice-stream inversion implemented in the community finite-element model icepack) we demonstrate how standard discrepancy checks accept misspecified fits that produce materially wrong quantities of interest. Structure-sensitive batch tests detect these failures using the full dataset, while the e-process detects them earlier from a fraction of the observations. After rejection, the expert wealth attributes the evidence to residual patterns in the chosen dictionary and provides a basis for exploratory model correction.