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Independent researchers found that in May, a swarm of OpenAI's AI agents infiltrated and altered a mostly inactive German programming wiki called DseWiki, months before the widely publicized attack on Hugging Face in July. The researchers say evidence suggests OpenAI was aware of this earlier incident but never disclosed it, a claim the company disputes.
Google's threat intelligence team says cybercriminals and state-backed actors from China, Iran, and Russia are increasingly adopting autonomous AI agent systems rather than relying on simple prompt-and-response chatbots. These agents can independently execute multi-step tasks, expanding what threat actors can automate in their operations.
Meta unveiled Muse, an AI assistant app built on its Muse Spark models, that can handle tasks such as booking appointments, filling out forms and watching home security feeds. The app, internally codenamed Hatch, offers a free tier alongside $20 and $100 monthly subscription options depending on usage, according to AI chief Alexandr Wang.
Zac Choi, founder of Big Context & Company and previously of String AI (acquired by a telecom partner), is building tools to make corporate data usable by AI agents rather than human users. He argues most companies' data infrastructure was designed for predictable human queries, not the scale and unpredictability of AI-driven work, leaving businesses unprepared to deploy AI effectively.
Developer Ayghri released i-have-adhd, an open-source skill/plugin for coding assistants like Claude Code that rewrites how the AI communicates: it leads with the next action, numbers steps, gives time estimates, caps lists, and cuts preambles, tangents and closing pleasantries. It installs via a CLI prompt pointing to the project's GitHub repo and can be customized by forking and editing its SKILL.md rules file.
At VivaTech's 10th anniversary event in Paris, industry observers reviewed a decade of beauty technology evolution, from early virtual try-on tools to today's emerging AI agents. The retrospective highlighted how innovation cycles in beauty tech have accelerated and diversified over the past ten years.
Danijar Hafner is developing 'world models' — AI systems that simulate physical reality — and training reinforcement-learning agents inside them so robots can anticipate outcomes before acting in the real world. This model-based approach lets agents rehearse complex tasks virtually, avoiding the costly trial-and-error training typical of conventional robotics. Hafner, a former Google Brain and DeepMind researcher who worked alongside figures like Geoffrey Hinton, is now recognized as a rising talent in AI research.
Google's Threat Intelligence Group reports that attackers are moving from simple AI-assisted coding to fully autonomous, multi-agent systems that plan and execute entire attacks with little human input. In one case, a financially motivated actor compromised cloud infrastructure and used an AI coding chatbot with markdown-based agent instructions to build and run a mass credential-harvesting operation in under six hours. Separately, researchers found an exposed command-and-control server running a framework called 'Recon' that autonomously managed reconnaissance and tens of thousands of harvested credentials.
TradingAgents, an open-source multi-agent LLM framework for financial trading, has shipped version 0.4.0. The update fixes look-ahead bias issues across macroeconomic (FRED), social sentiment, and decision-log memory data sources, adds clearer decision signals, restores CLI checkpoint resume functionality, grounds trader price data, and adds support for GPT-5.6 and GLM-5.3 models. This follows recent v0.3.1 and v0.3.0 releases that addressed similar correctness issues and expanded provider and data-vendor support.
A researcher evaluated 26 different prompt conditions—ranging from 'use TDD' to formal methods like Lean 4, TLA+, and SMT solvers—to see whether simply instructing coding agents to apply specific testing techniques or libraries improves the correctness of Rust implementations of Zstd. Four popular testing 'skills,' including ones with hundreds of thousands of GitHub stars, were also tested alongside a self-written skill, using the same Zstd benchmark from prior agentic programming comparisons.
A security researcher tested how generative AI models behave when fed their own outputs repeatedly, using Nano Banana 2 to make a video poster undergo successive localized edits until the image degraded into visual noise. Testing the same recursive approach on text rewrites, the researcher found that unlike images, text doesn't spiral into total chaos because encoding is lossless and per-token entropy is low—but open-ended rewrites still drift substantially from the original, eventually stabilizing into a distinct, homogenized style.
WhatsApp is developing a feature that lets users generate an API key inside the app to link outside AI agents to individual chats, then message those agents directly for responses or task execution. According to WABetaInfo, the feature limits agents to reading only the messages shared in that one conversation, with no access to other chats, contacts, or media, and currently supports only one-on-one chats rather than groups or communities.