AI News

Anthropic keeps new AI model private after it finds thousands of external vulnerabilities

Anthropic’s most capable AI model has already found thousands of AI cybersecurity vulnerabilities across every major operating system and web browser. The company’s response was not to release it, but to quietly hand it to the organisations responsible for keeping the internet running. That model is Claude Mythos Preview, and the initiative is called Project Glasswing. […]

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Agentic AI’s governance challenges under the EU AI Act in 2026

AI agents hold the promise of automatically moving data between systems and triggering decisions, but in some cases, they can act without a clear record of what, when, and why they undertook their tasks. That has the potential to create a governance problem, for which IT leaders are ultimately responsible. If an organisation can’t trace […]

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Google makes it easy to deepfake yourself

YouTube Shorts is rolling out a new AI-powered feature giving creators an easy way to realistically clone themselves on camera. The launch, hinted at earlier this year, reflects the platform’s fraught relationship with AI-generated content, adding more generative features while struggling to contain AI slop, deepfake scams, and impersonations. YouTube says the new tool will […]

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The AI industry’s race for profits is now existential

Today on Decoder, let’s talk about the looming AI monetization cliff, and whether some of the biggest companies in the space can become real, profitable businesses before they careen right off it. My guest today is Hayden Field, who’s our senior AI reporter here at The Verge. She’s been keeping close tabs on both Anthropic […]

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Sierra’s Bret Taylor says the era of clicking buttons is over

Last month, Sierra launched Ghostwriter, an agent designed to build other agents. With this “agent as a service” tool, the startup intends to replace traditional click-based web applications with natural language. Users simply describe what they need, prompting Ghostwriter to autonomously create and deploy a specialized agent to execute the task.

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Meet OSGym: A New OS Infrastructure Framework That Manages 1,000+ Replicas at $0.23/Day for Computer Use Agent Research

Training AI agents that can actually use a computer — opening apps, clicking buttons, browsing the web, writing code — is one of the hardest infrastructure problems in modern AI. It’s not a data problem. It’s not a model problem. It’s a plumbing problem. You need to spin up hundreds, potentially thousands, of full operating […]

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A Comprehensive Implementation Guide to ModelScope for Model Search, Inference, Fine-Tuning, Evaluation, and Export

In this tutorial, we explore ModelScope through a practical, end-to-end workflow that runs smoothly on Colab. We begin by setting up the environment, verifying dependencies, and confirming GPU availability so we can work with the framework reliably from the start. From there, we interact with the ModelScope Hub to search for models, download snapshots, load […]

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Google AI Research Introduces PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing

Writing a research paper is brutal. Even after the experiments are done, a researcher still faces weeks of translating messy lab notes, scattered results tables, and half-formed ideas into a polished, logically coherent manuscript formatted precisely to a conference’s specifications. For many fresh researchers, that translation work is where papers go to die. A team […]

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A Coding Guide to Build Advanced Document Intelligence Pipelines with Google LangExtract, OpenAI Models, Structured Extraction, and Interactive Visualization

In this tutorial, we explore how to use Google’s LangExtract library to transform unstructured text into structured, machine-readable information. We begin by installing the required dependencies and securely configuring our OpenAI API key to leverage powerful language models for extraction tasks. Also, we will build a reusable extraction pipeline that enables us to process a […]

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Sigmoid vs ReLU Activation Functions: The Inference Cost of Losing Geometric Context

A deep neural network can be understood as a geometric system, where each layer reshapes the input space to form increasingly complex decision boundaries. For this to work effectively, layers must preserve meaningful spatial information — particularly how far a data point lies from these boundaries — since this distance enables deeper layers to build […]

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