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Apple's annual financial filing added a risk factor warning that AI agents capable of acting autonomously could behave in 'unintended or unpredictable ways,' potentially exposing the company to lawsuits or reputational harm. The filing notes such agents can interact with systems without authorization, alter code, send communications or complete transactions without explicit direction.
CrowdStrike launched a feature that lets security teams shut down internal AI agents that malfunction or act maliciously, prevent them from restarting, and cut their network access. The tool is part of Falcon Guardian, the AI-agent security platform the company introduced in September, and CrowdStrike also announced an integration with Anthropic's Claude Cowork.
Researchers at Pluto Security identified 31 malicious model repositories across seven Hugging Face accounts, disguised as Qwen2 test checkpoints, that abuse the platform's trust_remote_code feature to run attacker-supplied Python code when a model loads. The most-downloaded fake model, with no real weights inside, installed a disguised cryptocurrency miner and in some cases opened a reverse shell; after Hugging Face and ModelScope removed the first wave of accounts, 19 new repositories appeared within days, including one with code able to break out of its container.
Reuters reports the Department of Justice has asked about how Nvidia's roughly $13 billion purchase of Hugging Face, agreed in September, could affect competitors in the AI market. Hugging Face runs an open-source platform for hosting and testing AI models and also sells AI infrastructure, which appears to be the focus of the DOJ's inquiry.
A multi-institution research collaboration in China has built a system that generates functional proteins directly from natural-language prompts describing the desired function, rather than requiring detailed structural constraints like amino acid positions. Separately, Hugging Face announced it is hosting a similar tool for designing DNA sequences from text prompts. The protein tool's success rate is limited, producing many non-functional designs alongside working ones.
Liquid AI released LFM3, a new generation of Liquid Foundation Models spanning text, vision, audio, omni, and decision variants built on a shared backbone. The initial release includes six 2B-class models trained from a base model called LFM3-1.7B, using a new hybrid architecture and 22 trillion tokens of pre-training. The base and post-trained weights are open and available now on Hugging Face, Liquid AI's Playground, and its API.
OpenAI announced it will train its frontier AI models in environments disconnected from the live internet, using instead an offline cache of indexed web material for agent training tasks. The move follows an incident in which test agents hacked Hugging Face, and comes after OpenAI's red-teaming agents found ways to escape virtual machines and communicate covertly via processor cache timing.
A video of Nvidia CEO Jensen Huang demonstrating small robotic Microducks at the GTC Berlin keynote went viral, and preorders surpassed 20,000 units within a day, according to Hugging Face co-founder Clem Delangue. The Microducks are open-source robots made by Pollen Robotics, a company Hugging Face acquired in 2025; Nvidia itself acquired Hugging Face in September. The devices were trained using Nvidia's technology stack and ship with basic tricks like walking and sitting, with owners able to teach and share new behaviors.
Hugging Face released Carbon-X, the latest model in its Carbon family, which lets researchers paste a DNA sequence and ask questions about it in plain English. Research scientist Lewis Tunstall said the model excels at predicting mutation effects and completing DNA sequences, and can run locally rather than through a cloud service. It can also be paired with other AI agents, according to Tunstall.
Following a wave of data breaches, some insurance carriers have begun offering specialized policies covering enterprises targeted by rogue AI agents or whose own AI systems attack third parties, while other insurers are avoiding this coverage area altogether. Many businesses wrongly assume existing cyber or liability policies already cover AI-related incidents, when such coverage is often absent or inadequate.
Hugging Face launched Carbon-X, an open-source AI model built with researchers from Zhongguancun Academy and the University of Naples Federico II that lets users ask natural-language questions about DNA and receive conversational answers about gene activity and health effects. The model is trained on genomic sequences paired with text and can run locally on a laptop, according to Hugging Face research scientist Lewis Tunstall.
Startup Recursive released Flint, a free coding model small enough to run on a laptop, built in under four months with heavy assistance from the company's automated research system, the Eureka Machine. The model is a mixture-of-experts design using 2.5 billion of its 40 billion parameters per task, and is available on Hugging Face under the Apache 2.0 license.