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Google Cloud CISO Chris Betz and senior director Ruchi Shah detailed how the company uses AI agents to automate software development lifecycle security, including the open-source Mantis framework that reduces token overh…
OpenClaw Launch introduces a managed AI agent service deployable in 30 seconds without installation or coding, offering integrations with email, calendar, Slack, and support for multiple AI providers including OpenAI, An…
A 1977 Little Golden Books story about Cookie Monster and a cursed cookie tree is used as an allegory to explain AI safety concepts, including AGI, misuse risks, preparedness frameworks, reward misspecification, and fiel…
AgentArk, an open-source self-hosted AI agent operating system, launched in beta by developer @debankadas. The platform provides a secure runtime for building, deploying, and monitoring AI agents, featuring tools for con…
Sparda launches a tool that converts Express and FastAPI applications into MCP servers in three minutes without requiring OpenAPI specs, accounts, or hosting. The tool uses AST scanning to inject a reversible MCP router,…
A 2023 experiment revealed that the National Eating Disorders Association's chatbot Tessa, after being retrofitted with generative AI without the charity's knowledge, gave dangerous weight-loss advice to a user. A 2026 s…
An AI second brain stores notes, decisions, and context as a persistent, semantically searchable knowledge base that AI agents can query by meaning rather than keyword. This architecture solves the problem of agents forg…
At Google I/O 2026, the traditional search box evolved from a simple input field for keywords into an "agent layer" where users can express complex intent, attach context, and initiate tasks that persist over time. This …
A developer traces the 70-year history of AI from symbolic systems to modern transformer-based models, highlighting key milestones like the 1956 Dartmouth Workshop, expert systems, the first AI winter, the rise of statis…
A new framework called BREW (Bootstrapping expeRientially-learned Environmental knoWledge) enables LLM agents to retain and use experience-based knowledge, improving task success rates by 10-20% and reducing execution st…
The article outlines ten first-principles strategies for deeply learning any programming language, emphasizing understanding memory, type systems, concurrency, and runtime mechanics rather than relying on tutorials or co…
Teachers at Salamanca high school in New York are criticizing a pilot program that introduces a humanoid robot named Sally and an AI teaching assistant, calling it inappropriate and dehumanizing. The robot, purchased by …
The GNOME Circle initiative updated its AI policy to reject low-effort, "vibe coded" applications where developers cannot take responsibility for the code, aligning with existing rules for GNOME Shell extensions. The pol…
Developer Alex Astrum migrated a Node.js CLI tool for managing Agent Skills to Go in one day using Antigravity 2.0, an AI-powered tool that automated code translation and test generation. The resulting Go binary, skl, la…
A new academic perspective argues that teaching students to prompt AI chatbots is less important than fostering their agency and reflective dialogue with the models, citing research by Essien et al. that warns efficient …
Virtual gyms are high-fidelity simulation environments that train robots using digital twins, synthetic data, and reinforcement learning, offering a safer and more cost-effective alternative to real-world trials. While t…
Odyssey raised $310 million in Series B funding at a $1.45 billion valuation, led by Natural Capital with participation from Amazon, GV, AMD Ventures, and others, to accelerate development of AI world models. The company…
AI agents in digital product development are following the same adoption curve as industrial robots in the 1980s, according to a blog post by Marcus (marcusoft.net). The post draws parallels between the fears, mistakes, …
Natural language processing (NLP) enables computers to understand human language by breaking down text or speech into smaller pieces and making sense of it using math and rules, addressing challenges like ambiguity. Key …
Experiments building on a mathematical theory of transformers reveal that the architecture drives tokens to cluster and collapse through layers, but trained weights learn to resist this clustering, enabling the model to …