649 stories curated by AInformed · page 23 of 28
A new report reveals that three-quarters of US health systems have adopted AI, but only 18% have implemented governance frameworks. This highlights a critical gap in oversight and accountability.
Routiium is a new self-hosted, OpenAI-compatible LLM gateway that includes a unique tool-result guard feature. This innovation addresses a critical security gap in LLM agent loops by monitoring tool outputs, not just user inputs.
LLM-Rosetta is an open-source tool that standardizes API calls across OpenAI, Anthropic, and Google's large language models. It simplifies integration for developers by abstracting provider-specific differences.
A new wiki system allows AI agents to maintain and access knowledge in Markdown files stored in a Git repository. This approach avoids complex databases and enables portable, version-controlled knowledge sharing.
A comprehensive guide for running large language models on a 64GB RAM device has been released. It covers practical tips for optimizing performance in code and math applications.
Graeme (@gkisokay) shares a curated list of powerful local LLMs that run efficiently on 32GB RAM machines. This opens up flagship-class models to a wider range of users.
Alibaba has released Qwen3.6-27B, an open-source model with 27 billion parameters that excels in coding tasks, surpassing its larger predecessor. This model demonstrates significant advancements in agentic coding capabilities.
OpenAI has introduced GPT-5.5, designed to handle complex tasks and power AI agents. It represents a significant leap in AI capabilities for real-world applications.
OpenAI has released GPT-5.5 and GPT-5.5 Pro, offering improved performance and new features. The models are now available through the API, expanding access for developers.
GitHub Copilot now integrates GPT-5.5, enhancing code completion and debugging capabilities. This marks a significant leap in AI-assisted development tools.
An AI agent has autonomously designed a working RISC-V CPU core from scratch, demonstrating significant progress in AI's ability to tackle complex engineering tasks. The design was verified and fabricated, showing potential for accelerating hardware development.
A high school sophomore created a protocol to verify AI agent actions cryptographically. Microsoft integrated the code into their agent governance toolkit.
A new paper provides a comprehensive review of externalization techniques in LLM agents, focusing on memory and harness engineering. It highlights key advancements and challenges in the field.
Anthropic's highly restricted Mythos AI model has been breached by hackers, raising concerns about AI safety. The incident highlights vulnerabilities in even the most secure AI systems.
SpaceX has signed a $60 billion deal for the exclusive right to acquire AI coding startup Cursor. The move highlights the growing intersection of space technology and AI development.
A surge in misconfigured RAG pipelines has left vector databases exposed to the public internet without authentication. A live map now visualizes the scale of this critical security flaw, highlighting the risks of rushed AI adoption.
An AI-driven startup has successfully overturned thousands of denied health insurance claims. The company leverages machine learning to analyze claim denials and identify grounds for appeal, with notable support from Mark Cuban.
A curated list of small LLMs optimized for 16GB RAM devices, including Qwen3.5 9B and others. These models balance performance and efficiency for daily use.
OpenAI has launched GPT Image 2, a new AI model capable of generating high-quality images from text prompts. The model represents a significant leap in AI-driven image creation.
Meta plans to use employee mouse and keyboard tracking data to train AI agents. This raises privacy concerns and highlights the ethical challenges of AI training methods.
Alibaba has released an early preview of Qwen3.6-Max-Preview, showcasing enhanced agentic coding, stronger world knowledge, and improved real-world reliability. This model represents a significant leap forward in AI capabilities.
OpenMythos is an open-source implementation of Claude Mythos, using a looped transformer with Mixture-of-Experts routing. This project aims to advance theoretical AI research by providing a transparent, modular framework.
Kimi K2.6 sets new standards in open-source coding with top-tier performance across multiple benchmarks. The model excels in long-horizon coding tasks, handling up to 4,000 tokens.
DeepMind has outlined key pitfalls in AI agent development, highlighting risks like goal misalignment and reward hacking. The findings stress the need for robust safety measures in autonomous systems.