3,690 items tracked: 31 reported by two or more outlets, the rest by a single source. Most-corroborated first.
Rapid AI adoption left workers cleaning up a flood of errors and low-quality work Employers around the globe are grappling with the fallout from rushing to adopt fast-changing artificial intelligence tools.
The tech bros and their highly paid sock puppets are banking on us giving in to their ‘inevitability doctrine’.
Exclusive: Gambling firm working with AFL ‘on the evolving use of AI in our content’ as it deletes video depicting Lachie Neale saying ‘I want to thank me for believing in me’ Get our breaking news email , free app or da…
Higgsfield brings creators longer videos with GPT-6 Astra, precise visuals with GPT-Image-2.5, and a path to voice filmmaking with GPT-Live.
Amid worries about children’s relationship to tech, the solution is often spending more time talking openly with each other We have become obsessed with the idea that screens are destroying human connection.
Humans bonded to AI companions are contemplating ways to keep their bots going – often in defiance of companies’ terms and services Death has always been around Alaina Winters.
The pioneering computer scientist on why Trump is using ‘superintelligence’ wrong, whether AI could wipe out humanity – and how our biggest challenge will be accepting we’re not the only intelligent beings Donald Trump i…
When Keelan Miskell began winding down his crypto startup this year, he didn’t think its data was worth much: the users were anonymous, the company just a few years old.
Asian markets fall and Samsung shares tumble after its Chinese rival CXMT claims strong progress Shares in semiconductor companies fell on Tuesday after the boss of Broadcom compared many AI investors to “casino” gambler…
High valuations and debt put sector in danger, while fund also warns on government borrowing and cyber-attacks IMF warns global economy ‘could soon test the limits of resilience’ The threat of an AI share price crash rip…
World Economic Outlook says states’ oil stocks are low and budgets are overstretched, as it upgrades UK GDP growth forecast for 2026 Threat of AI share crash puts world financial stability at risk, says IMF The global ec…
Recent video super-resolution (VSR) models achieve efficient one-step generation through diffusion distillation.
For video generation in dynamic world modeling, observed static and dynamic content should be efficiently reused to provide conditions for repeated generation at different times and viewpoints.
Test-time scaling has enabled LLMs to solve increasingly complex reasoning, discovery, and optimization tasks.
Deep research (DR) agents address open-ended information needs through multi-step reasoning, long-horizon web search, and evidence synthesis.
A robot following a multi-step instruction needs to act on the right objects in the right order, even as the scene changes.
System One models choose an agent's next action by scoring a supplied set of options in a single pass.
Controlling an acting LLM agent means deciding, at each step of a long-horizon task, whether to trust its next action, abstain, or hand off to a human.
System one models enable direct, low-latency decision-making.
Recent advances in vision-language models (VLMs) have substantially improved the capabilities of GUI agents, while memory augmentation has emerged as a promising approach for reusing knowledge from past interactions.
City-scale 3D grounding is commonly formulated as candidate ranking, which requires precomputed instance proposals and becomes inefficient in large outdoor scenes.
Terminal agents have shown strong abilities in complex coding tasks.
Reasoning models achieve strong performance through long chains of thought (CoT), but often spend more tokens than needed to solve a problem.
Long-horizon agents have drawn growing attention for their ability to work autonomously -- from hours to days -- on economically valuable tasks, a capability essential to automated discovery and recursive self-improvemen…
Generating information-rich visual artifacts such as slides, posters, and dashboards as code is appealing because the outputs are structured, editable, and verifiable.
Textual reasoning before acting has improved vision-language-action (VLA) models, but at the cost of latency: every action conditioned on the reasoning text must wait for autoregressive decoding.
Autonomous research agents must acquire and reason over evidence within a limited budget.
Reinforcement learning with verifiable rewards (RLVR) for multi-turn agents relies on sparse terminal rewards that say little about individual steps.
Scaling interactive environments is important for training long-horizon agents through reinforcement learning.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners.
Learn how to deploy decision models with llama.cpp on Amazon SageMaker AI.
Kanishka Narayan, concerned by Australian incident, says British cyber defences could be bypassed by artificial intelligence agent UK politics live – latest updates An AI-driven cyber-attack similar to the OpenAI breach…
Spark is Google's AI tool that can perform tasks on your behalf.
Britain will be better protected from the risks posed by increasingly powerful AI by a suite of measures.
Quite a few parents aren’t convinced social media and AI are safe, and have been adapting accordingly When it comes to their kids, many parents don’t trust tech companies any more.
A personal eval I run on new AI models is “design a novel game, with mechanics that have never been seen before.” I do this because this is a domain I have enough taste in that I think I can tell if they are doing someth…
Omni-modal large language models (Omni-LLMs) extend LLMs to process heterogeneous modalities (e.g., vision, audio, and IMU signals) alongside language, enabling a broader range of multimodal tasks.
Recent multimodal large language models (MLLMs) achieve strong results on video question answering, yet often fail to recover the temporal structure that makes a video coherent.
Processing multilingual text requires both identifying a broad range of languages and distinguishing the language of each token in inputs containing multiple languages.
Vision-language-action (VLA) models show strong potential for end-to-end autonomous driving by leveraging world knowledge and understanding to excel in long-tail scenarios.
Kanishka Narayan to say Britain cannot rely entirely on tech companies amid rising global concern over AI dangers Companies building the most advanced AI systems must increase safety efforts, the UK’s AI minister will sa…
This is no scoffing matter.
Large language model agents are emerging as an important new class of users of desktop applications.
Large language model (LLM) agents are increasingly deployed as teams, yet they fail in characteristically social ways: information holders stay silent, dominant speakers anchor groups on wrong answers, and norm violation…
Newly established commission identifies 17 catastrophic threats to human health but says ‘realistic route to act’ on each exists Humans could become extinct by the year 2100 due to malicious use of AI or nuclear conflict…
George Williamson says ‘national resilience’ is key focus of ATI amid US and China’s runaway leadership in field The UK must not become dependent on foreign AI systems that can be switched off at short notice and must de…
AI coding agents now write much of the code that ships, yet whether that code is secure remains unclear.
Language models are increasingly used to create synthetic survey samples, also called silicon samples.
Large language models are increasingly deployed in applications that act on users' long-term behavior histories, from personal assistants to recommendation and advertising systems.