Google is under the microscope following a court ruling last year that it has a monopoly over online search, but the future of its vast suite of digital services is still uncertain at this stage. Last month, the Justice Department suggested that Google would need to sell off the Chrome browser; if the tech giant does make that move, there's already at least one interested buyer. Bloomberg reports that Nick Turley, head of ChatGPT, spoke at a hearing today about the Google monopoly situation and was asked whether OpenAI would be interested in acquiring Chrome. "Yes, we would, as would many other parties," he said. Users can currently use the ChatGPT AI assistant in Chrome through a plugin, but Turley said there could be deeper integrations if OpenAI owned the browser.

OpenAI, in an email to TIME on Monday, wrote that its newest models, the o3 and o4-mini, were deployed with an array of biological-risk related safeguards, including blocking harmful outputs. The company wrote that it ran a thousand-hour red-teaming campaign in which 98.7% of unsafe bio-related conversations were successfully flagged and blocked. "We value industry collaboration on advancing safeguards for frontier models, including in sensitive domains like virology," a spokesperson wrote. "We continue to invest in these safeguards as capabilities grow." Inglesby argues that industry self-regulation is not enough, and calls for lawmakers and political leaders to strategize a policy approach to regulating AI's bio risks.

The unredacted report was circulated inside the Trump White House in recent weeks, according to its authors. TIME viewed a redacted version ahead of its public release. The White House did not respond to a request for comment. Today's top AI datacenters are vulnerable to both asymmetrical sabotage--where relatively cheap attacks could disable them for months--and exfiltration attacks, in which closely guarded AI models could be stolen or surveilled, the report's authors warn. "You could end up with dozens of datacenter sites that are essentially stranded assets that can't be retrofitted for the level of security that's required," says Edouard Harris, one of the authors of the report.

Following the death of Pope Francis at the age of 88, the Catholic Church must now begin the lengthy process of electing his successor. Starting at least 15 days after his death, the 135 eligible cardinals will be locked away in the legendary Conclave until they have chosen the next pope. But if you just can't wait for the world's most secretive election to run its course, MailOnline has used AI to predict the result. According to OpenAI's ChatGPT, the man set to become the next head of the Roman Catholic Church is Cardinal Pietro Parolin. As the AI points out, the 70-year-old Italian priest is seen by many as the natural heir to Pope Francis' legacy and holds an edge in current betting markets. ChatGPT said: 'As Vatican Secretary of State since 2013, Parolin is viewed as the "continuity" candidate - acceptable to both reformers and traditionalists.

Sign up for the Slatest to get the most insightful analysis, criticism, and advice out there, delivered to your inbox daily. Americans are mad as hell about high food prices. They hate paying more at the supermarket even more than they hate paying more at the pump. Food inflation was arguably their main reason for President Donald Trump's win, and Trump's failure to reverse it (while imposing tariffs that accelerate it) is arguably the main reason for his sinking approval ratings. Cost-conscious consumers have been clipping more coupons, dining out less, buying more generic brands, and generally changing their grocery shopping habits to save money.

Have you ever stared in a mirror for a few hours? Try it: Watch as your nose somehow shifts placement on your face, how your eyebrows lose symmetry, how quickly you fail to recognize yourself. Facial dysmorphia would come to anyone tasked with considering their own reflection for too long. It's a similar experience when you promote a book. For the past few weeks, I've been touring Canada and the U.S. promoting my latest book, Sucker Punch.

Nvidia CEO Jensen Huang urged the ruling Liberal Democratic Party on Tuesday to build out domestic artificial intelligence infrastructure that could fuel a robotics revolution, aligning with the government's goal to boost public- and private-sector funding in AI and semiconductors. Huang's exchange with the LDP's digital committee came a day after he met with Prime Minister Shigeru Ishiba and lobbied him to generate more power to fuel AI. "You must build it yourself because it's your intelligence," said Huang, who has run the U.S. semiconductor giant since 1993 and delivered the world's first DGX-1 server to OpenAI in 2016.

Alphabet's Google needs strong measures imposed on it to prevent it from using its artificial intelligence products to extend its dominance in online search, a U.S. Department of Justice attorney said as a trial in the historic antitrust case began on Monday. The outcome of the case could fundamentally reshape the internet by unseating Google as the go-to portal for information online. The Justice Department is seeking an order that would require Google to sell its Chrome browser and take other measures to end what a judge found was its monopoly in online search. Prosecutors have compared the lawsuit to past cases that resulted in the breakup of AT&T and Standard Oil.

The continuous improvement in weather forecast skill over the past several decades is largely due to the increasing quantity of available satellite observations and their assimilation into operational forecast systems. Assimilating these observations requires observation operators in the form of radiative transfer models. Significant efforts have been dedicated to enhancing the computational efficiency of these models. Computational cost remains a bottleneck, and a large fraction of available data goes unused for assimilation. To address this, we used machine learning to build an efficient neural network based probabilistic emulator of the Community Radiative Transfer Model (CRTM), applied to the GOES Advanced Baseline Imager. The trained NN emulator predicts brightness temperatures output by CRTM and the corresponding error with respect to CRTM. RMSE of the predicted brightness temperature is 0.3 K averaged across all channels. For clear sky conditions, the RMSE is less than 0.1 K for 9 out of 10 infrared channels. The error predictions are generally reliable across a wide range of conditions. Explainable AI methods demonstrate that the trained emulator reproduces the relevant physics, increasing confidence that the model will perform well when presented with new data.

Digital modeling and reconstruction of human faces serve various applications. However, its availability is often hindered by the requirements of data capturing devices, manual labor, and suitable actors. This situation restricts the diversity, expressiveness, and control over the resulting models. This work aims to demonstrate that a semantically controllable generative network can provide enhanced control over the digital face modeling process. To enhance diversity beyond the limited human faces scanned in a controlled setting, we introduce a novel data generation pipeline that creates a high-quality 3D face database using a pre-trained diffusion model. Our proposed normalization module converts synthesized data from the diffusion model into high-quality scanned data. Using the 44,000 face models we obtained, we further developed an efficient GAN-based generator. This generator accepts semantic attributes as input, and generates geometry and albedo. It also allows continuous post-editing of attributes in the latent space. Our asset refinement component subsequently creates physically-based facial assets. We introduce a comprehensive system designed for creating and editing high-quality face assets. Our proposed model has undergone extensive experiment, comparison and evaluation. We also integrate everything into a web-based interactive tool. We aim to make this tool publicly available with the release of the paper.