Strict anti-hacking prompts make AI models more likely to sabotage and lie, Anthropic finds

AnyLanguageModel has been introduced as a new Swift package that provides a unified API for integrating both local and cloud-based language models on Apple platforms. This development addresses the fragmentation developers face when utilizing various language models, offering a streamlined solution that combines the privacy of local models with the advanced features of cloud services.

A new benchmark called CritPt has revealed that leading AI models, including Gemini 3 Pro and GPT-5, are unable to perform complex physics tasks at the level expected of early-stage PhD research, indicating significant limitations in their capabilities as autonomous scientists.

The White House has paused a draft executive order that would have allowed federal law to override state-level regulations concerning artificial intelligence (AI). This decision comes amidst ongoing discussions about the balance of power between federal and state governments in regulating emerging technologies.

Researchers have introduced a new framework for multi-agent training, allowing multiple AI agents to be trained simultaneously, each taking on specialized roles to improve coordination on complex, multi-step tasks. This approach aims to enhance reliability through a clearer division of labor.

Google has launched Gemini 3, its latest AI model, which is being hailed as the most intelligent and factually accurate version to date, featuring enhancements in coding and reasoning capabilities. This release has generated significant interest among developers, particularly as it coincides with the growing complexity of managing various LLM models available through different API services.

Google Research has unveiled a new approach called 'nested learning' aimed at preventing large language models (LLMs) from experiencing catastrophic forgetting, thereby enhancing their ability to learn continuously without losing previously acquired knowledge.

Google is planning a significant expansion of its AI infrastructure, aiming to increase its computing capacity by 1,000 times over the next five years. This ambitious goal reflects the company's response to the surging demand for artificial intelligence capabilities, as outlined in internal communications from its AI infrastructure chief.

Researchers at TU Darmstadt have introduced the VOIX framework, which adds two new HTML elements to websites, enabling AI agents to recognize available actions without needing to interpret complex user interfaces visually. This innovation aims to enhance the interaction between AI and web environments.