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In six months last year, more than 2,000 such complaints were made to eSafetyGet our breaking news email, free app or daily news podcastA new report by Australia’s online safety regulator has found “significant gaps” in how major tech platforms tackle online sexual extortion and child sexual exploitation, as “reports of this abuse continue to […]
Agentic LLMs often fail the same way, again and again. A Stanford research team traced this to missing, reusable capabilities. Their system, TRACE, diagnoses those gaps and trains for them directly. TRACE stands for Turning Recurrent Agent failures into Capability-targeted training Environments. It was released open-source under an MIT license. What problem does TRACE solve?
Prime Intellect launched verifiers 0.2.0. It previews a rewritten core, shipped under the new verifiers.v1 namespace. Modern evaluations now run coding agents with tools, compaction, and subagents. Accordingly, v1 rebuilds environments to run these agentic workloads at scale. What is verifiers v1? First, consider what verifiers is: Prime Intellect’s environment stack for agentic reinforcement learning
Josh Fawaz’s song, a cover of Like a Prayer, has raised questions over how generative AI is being used in music and whether it should be declaredAn Australian producer has gone from a little-known artist to a viral sensation in a matter of months, with his hit song catapulting onto global charts and receiving thousands
Senior China correspondent Amy Hawkins on China’s embrace of AI, from medical avatars to food delivery drones and state surveillanceWhile the spread of AI has been met perhaps with a lot of scepticism in the west, China has fully embraced the technology, explains Amy Hawkins, from millions of users talking to AI doctors, to the
Odyssey director addresses industry fears over artificial intelligence and says rightwing criticism of Lupita Nyong’o as Helen of Troy is ‘irrelevant’The Oscar-winning director Christopher Nolan believes the kind of movies he makes – big-budget action films shot mostly on location – would survive the spread of artificial intelligence, a technology he says many people “disdain”.The
Frontier models learn mostly from public internet data. However, clinical neuroimaging rarely appears there, because MRI and CT scans contain identifiable facial features. Consequently, general models underperform on brain-imaging tasks. A University of Michigan research team addresses this gap with NeuroVFM, published in Nature Medicine. What is NeuroVFM? At its core, NeuroVFM is a generalist
Most people still use AI like a 2015 search box. You type, you read, you type again. A newer pattern replaces that manual back-and-forth with a loop. This guide explains loop engineering using two verified artifacts. The sources are Andrej Karpathy’s autoresearch repository and the Bilevel Autoresearch paper. The framing follows a write-up by @0xCodila.
The Guardian’s global tech reporting team are investigating the impact of the vast datacentres being built to power the AI revolution. We spoke to them about how their beat has become increasingly offlineJournalists often use the term “shoe-leather reporting” to refer to the on-the-ground legwork that goes into covering certain stories. As the tech industry’s
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