Uncertainty quantification has become an important factor in understanding the data representations produced by Graph Neural Networks (GNNs). Despite their predictive capabilities being ever useful across industrial workspaces, the inherent uncertainty induced by the nature of the data is a huge mitigating factor to GNN performance. While aleatoric uncertainty is the result of noisy and incomplete stochastic data such as missing edges or over-smoothing, epistemic uncertainty arises from lack of knowledge about a system or model (e.g., a graph's topology or node feature representation), which can be reduced by gathering more data and information. In this paper, we propose an original new framework in which node-level epistemic uncertainty is modelled in a belief function (finite random set) formalism. The resulting Random-Set Graph Neural Networks have a belief-function head predicting a random set over the list of classes, from which both a precise probability prediction and a measure of epistemic uncertainty can be obtained. Extensive experiments on 9 different graph learning datasets, including real-world autonomous driving benchmarks as such Nuscene and ROAD, demonstrate RS-GNN's superior uncertainty quantification capabilities.

We introduce Pion, a spectrum-preserving optimizer for large language model (LLM) training based on orthogonal equivalence transformation. Unlike additive optimizers such as Adam and Muon, Pion updates each weight matrix through left and right orthogonal transformations, preserving its singular values throughout training. This yields an optimization mechanism that modulates the geometry of weight matrices while keeping their spectral norm fixed. We derive the Pion update rule, systematically examine its design choices, and analyze its convergence behavior along with several key properties. Empirical results show that Pion offers a stable and competitive alternative to standard optimizers for both LLM pretraining and finetuning.

In a United States court, OpenAI chief executive Sam Altman has rejected claims from fellow tech mogul Elon Musk that he betrayed the artificial intelligence company's original vision. Tuesday marked the start of Altman's testimony in a contentious trial unfolding in Oakland, California, between some of tech's richest and most powerful titans. He alleged that OpenAI's leader persuaded him to invest $38bn, based on a goal of improving humanity, only to see the company pivot to a for-profit venture in 2019. On the witness stand on Tuesday, Altman instead framed Musk as a competitor obsessed with exercising control over OpenAI. "It does not fit with my conception of the words'stealing a charity' to look at what has actually happened here," Altman told the court.

Sam Altman is questioned by OpenAI's attorney, Bill Savitt, before Yvonne Gonzalez Rogers, a US district judge, at a federal courthouse in Oakland, California, on 12 May 2026 in a courtroom sketch. Sam Altman is questioned by OpenAI's attorney, Bill Savitt, before Yvonne Gonzalez Rogers, a US district judge, at a federal courthouse in Oakland, California, on 12 May 2026 in a courtroom sketch. The OpenAI CEO, Sam Altman, took the stand on Tuesday to defend himself and his company against a lawsuit by Elon Musk . Altman is set to be one of the final witnesses in the trial, which has pitted two of the tech industry's most powerful men against each other in a dramatic courtroom showdown. Musk has accused Altman and OpenAI of breaking the AI firm's founding agreement by restructuring it into a for-profit enterprise, alleging that Altman essentially swindled him into co-founding the company and providing tens of millions in financial backing.

Elon Musk tried to take control of OpenAI, even suggesting it could pass to his children when he dies, Sam Altman said on Tuesday. Altman is co-founder and chief executive of the artificial intelligence (AI) company behind ChatGPT. He is being sued by Musk, who accuses him of having looted a charity given OpenAI began as a non-profit. Appearing before a federal jury in Oakland, California, Altman said Musk not only backed the idea of OpenAI becoming a for-profit business, he wanted control of it for the long-run. A particularly hair-raising moment was when my cofounders asked, 'If you have control, what happens when you die?'

Google I/O, the company's big annual developer conference, is almost upon us . But the company isn't waiting until then to reveal what it has in store for Android. There was just far too much news on that front to squeeze into the I/O keynote, so Google revealed the details in the latest edition of The Android Show today. And, my goodness, were there a lot of details to reveal. From Gemini Intelligence and new laptops in the form of Googlebooks to an AirDrop-related update and Instagram editing tools in Android, Google had plenty of announcements to make. So, without further ado, here's an overview of everything Google announced during The Android Show: I/O edition.

You'll soon be able to generate your own widgets or ask Gemini to finish a booking in Chrome on Android. The Google I/O annual developer conference is around the corner--May 19--but in what is quickly becoming a tradition, Google announced new features for Android and Gemini a week early. The news came on Tuesday via the second-ever Android Show on YouTube . This livestreamed presentation helps Google spread out the cavalcade of updates from the often jam-packed I/O keynote. The Android Show focused on new features in Android 17, the next version of Android coming later this summer, as well as several updates to the Gemini assistant experience. It continues the theme set last year by Sameer Samat, president of the Android ecosystem, of turning Android into an "intelligent operating system."

PCWorld reports that Thinking Machines, founded by ex-OpenAI executive Mira Murati, has developed new AI voice interaction models that enable real-time conversations with interruptions and visual cue recognition. The technology uses a dual-AI system with a fast interaction model and background model for complex tasks, employing a multi-stream, micro-turn approach. This advancement could transform AI voice chat from current CB radio-style turn-taking into natural human-like conversations, though the technology remains in research phase. Voice chatting with today's AI can feel as stilted as an old-school CB radio exchange, where you're forced to take turns as you talk. "Hey ChatGPT, let's talk about the movies!

When you purchase through links in our articles, we may earn a small commission. You can get access to ChatGPT, Claude, and Gemini through ChatOn AI Assistant for just $30. Juggling AI subscriptions can get expensive fast. A single AI subscription can cost hundreds per year, and using multiple tools only drives the price higher. That's part of why ChatOn AI Assistant has been gaining attention recently.

Donald Trump is heading to China this week, and if his guest list is any clue, he wants to discuss technology with Xi Jinping. Donald Trump is heading to China this week, and if his guest list is any clue, he wants to discuss technology with Xi Jinping. Donald Trump is heading to China this week. If his guest list is any clue, he wants to discuss technology with Xi Jinping, though perhaps after the war in Iran. On Monday, news broke that outgoing Apple CEO, Tim Cook, as well as SpaceX and Tesla CEO, Elon Musk, would join the US president.