Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI

Karpathy proposes something simpler and more loosely, messily elegant than the typical enterprise solution of a vector ...

Meta's new structured prompting technique makes LLMs significantly better at code review — boosting accuracy to 93% in some cases

This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which ...
InfoWorld

Microsoft’s new Agent Governance Toolkit targets top OWASP risks for AI agents

The open-source project maps directly to OWASP’s top 10 agentic AI threats, aiming to curb issues like prompt injection, ...

Mozilla introduces cq, describing it as 'Stack Overflow for agents'

Mozilla is building cq - described by staff engineer Peter Wilson as "Stack Overflow for agents" - as an open source project ...
Electronics For You

Build a Pocket AI Agent on Raspberry Pi Using PicoClaw

Learn how to build your own AI Agent with Raspberry Pi and PicoClaw that can control Apps, Files, and Chat Platforms ...

Why AI Agents Make Biased Decisions In High-Stakes Fields

While AI delivers greater speed and scale, it can also produce biased or inaccurate recommendations if the underlying data, ...
CSO Online

Leak reveals Anthropic’s ‘Mythos,’ a powerful AI model aimed at cybersecurity use cases

The draft blog post describes a compute‑intensive LLM with advanced reasoning that Anthropic plans to roll out cautiously, starting with enterprise security teams.
CSO OnlineOpinion

LLM-generated passwords are indefensible. Your codebase may already prove it

Stop letting AI pick your passwords. They follow predictable patterns instead of being truly random, making them easy for ...