Google Cloud announced the Open Knowledge Format (OKF), an open, vendor-neutral specification that formalizes the LLM-wiki pattern for AI agents. OKF represents knowledge as a directory of markdown files with YAML frontmatter, requiring only a 'type' field. It aims to solve the fragmented context problem by providing portable, cross-linked knowledge bundles that agents can read and update directly, unlike RAG.

EloLup is a platform where users can rate AI coding agents and build reputation through their evaluations.

The author argues that while Anthropic's model was banned for national security reasons, the deeper issue is inflated AI company valuations. Based on his experience in heavy industry AI consulting, he questions the economic moat of large language models, pointing out that smaller companies train their models by querying frontier models, avoiding costs. He also suggests national security concerns may be hyped for pre-IPO marketing.

FoxBox now supports native MCP, allowing AI agents to seamlessly send and receive SMS for real-time automation.

ANIP is an open protocol for websites to expose capabilities to AI agents via a single YAML file at /.well-known/anip.yaml. AI agents can discover and call these capabilities without scraping or custom integrations, making it the HTML for AI agents.

As AI adoption accelerates, adversarial testing of systems is becoming increasingly important. AI red teaming simulates attack scenarios to expose vulnerabilities, helping organizations strengthen security before deployment. This article explains the concept, importance, benefits, and top consulting services for AI red teaming.

uwait is a Chrome extension that shows curated ads during AI loading screens (e.g., ChatGPT, Claude). Users earn 50% of ad revenue, publishers whose content trained the AI get 30%, and the platform keeps 20%. No sign-ups or surveys required—just install and earn passively.

Ghostty Playground is an experimental project that brings the full Ghostty terminal to the browser, including themes, keybinds, and a real Linux-like backend via BrowserPod. It supports downloading small AI models and running inference in-browser using WebLLM. This early demo has limitations but showcases exciting possibilities.

AI is transforming enterprise content management from passive storage to active orchestration, enabling workflow automation, real-time analytics, personalization, content-to-commerce integration, and hybrid headless architecture. This improves efficiency, consistency, and scalability, helping enterprises manage multi-channel, multi-language content operations.

Ava, an AI assistant, introduces a new feature that lets you visualize dishes from restaurant menus by sharing the menu with her.

Autoregressive models predict the next value by looking at previous values, forming the foundation of time series forecasting and sequence modeling. While simple and interpretable, they may struggle with sudden changes and nonlinear patterns. They are also key to large language models (LLMs) that generate text token by token.

In this tutorial, we build a workflow that uses Docling Parse to analyze PDF documents at a detailed structural level. We prepare a stable Python environment, handle common Colab dependency issues, and generate a custom multi-page PDF with text, columns, table-like content, vector shapes, and an embedded image. We then extract words, characters, and lines with page-level coordinates, render visual overlays, and save results into structured JSON and CSV. We see how low-level parsing supports layout analysis, reading-order reconstruction, and retrieval-ready document preparation.

Audio insight that predicts voice AI performance.

Parano.ai is an AI-assisted competitive intelligence platform that tracks competitor activities like launches, pricing changes, hiring, and more, delivering synthesized insights and actionable recommendations to keep your team informed.

AI Response Feedback for Forms™ is a Google Workspace add-on that automatically evaluates form submissions and sends helpful feedback emails. Users write review instructions in plain language, and the AI processes responses until they meet requirements, with customizable email options and privacy controls.

The rise of AI and digitisation could be a turning point in the 'race against extinction' faced by botanists trying to identify and save vital plants before they vanish, according to a major report from Royal Botanic Gardens, Kew.

Researchers have created an adaptive computer worm powered by small open-weight AI models that autonomously identifies and exploits vulnerabilities to spread across networks, representing a qualitative shift in cyber threats.

In the US-China AI race, the divide between open-source and closed-source philosophies could determine the winner. Chinese AI labs actively release open-source models, while US giants like OpenAI and Anthropic favor closed-source. In a Rest of World event, former Hugging Face executive Tiezhen Wang discussed the history of open-source models, how Chinese AI labs monetize them, and the debate over model distillation and intellectual property.

This essay explores the analogy between AI and the unconscious by contrasting Alfred North Whitehead's celebration of cognitive automation with Hannah Arendt's call to 'think what we are doing.' The author warns that as AI takes over more cognitive tasks, we risk creating an opaque layer of activity that undermines human understanding and self-governance, potentially leading to a society where machines think and speak for us.

YouTube's algorithm tweak targets faceless creators relying on AI-generated content, causing a sharp decline in their clicks and revenue.

Kate Moussouris confirms that the 'jailbreak' which got Claude Fable 5 banned under export control was actually its ability to fix code. Experts warn that preventing AI from fixing bugs weakens defense, and non-technical decision-makers may ban models that help secure code based on misunderstanding.

Crypto Clarity AI offers a 12-dimension AI-powered portfolio health score tool to uncover hidden risks like concentration, correlation, and drawdown. Get a free 60-second health check, with lifetime access for a one-time $19 fee and optional $15/week monitoring.

The Agentic AI Foundation (AAIF) is a neutral, open foundation to advance agentic AI collaboratively. Recent news includes Coinbase's MCP-based agentic trading, SemiAnalysis highlighting AI subscription pricing mispricing, and Nous Research's Hermes Agent Profile Builder. The foundation also hosts events and supports projects like MCP, Goose, AGENTS.md, and agentgateway.

AATF is an open specification and reference SDK for recording AI agent decision chains, focusing on why an agent made each decision, including alternatives considered, confidence levels, and rejected options. It aims to provide decision accountability similar to OpenTelemetry's observability but for agent transparency and trustworthiness. The article covers the core format, quick start, comparisons with existing tools, integrations, project status, and contribution guidelines.

The EU has developed a set of icons for deployers of generative AI systems to label AI-generated or manipulated content, in line with the AI Act transparency rules. This article covers what content needs labelling, exceptions, icon variants, usage guidelines, and licensing.

LV-Calib is a calibration framework for LiDAR-camera extrinsic estimation and LiDAR boundary-response calibration using a printable planar target. It leverages visual fiducials and circular reflectivity boundaries to extract features, and iteratively refines LiDAR 3D points to handle transition band distortions caused by finite beam footprint and mixed-intensity returns. Experiments demonstrate sub-pixel reprojection accuracy, millimeter-level LiDAR feature consistency, and improved odometry performance. Code and data will be released.

ViTaL framework uses bi-level optimization combining vision and touch to steer generative robot policies at inference time, significantly improving success in contact-rich manipulation tasks.

A new study reveals that operators maintain task performance in contact-rich human-robot interaction under varying environmental conditions by increasing physiological effort, particularly autonomic workload, to suppress thermal discomfort. The findings motivate physiology-aware control architectures.

This paper proposes DynaHMRC, a decentralized framework where each robot acts as a role-aware LLM agent, enabling flexible collaboration through a four-stage closed-loop process: self-description, task allocation with leadership bidding, leader election, and reflective execution. It addresses scalability issues of centralized LLM schedulers, insufficient handling of dynamic tasks, and domain-specific data scarcity. Experiments show higher success rates and efficiency compared to strong baselines, with promising scalability.

VANDERER is a novel exploration framework for mobile agents that uses only monocular camera data, leveraging a Visual Curiosity Module to guide pre-trained diffusion policies. It outperforms NoMaD by 13.4% in explored area across simulated environments and reveals a correlation between visual and geometric curiosity in outdoor settings.