Hybrid search combines lexical matching with vector similarity so retrieval can respect exact terms while recognizing semantic equivalents. This guide explains the mechanism, trade-offs, evaluation, ...

A critical remote command execution vulnerability in the Zimbra Collaboration Suite, identified as CVE-2026-73570, poses ...

I have decided to release some information for free for a limited time. I am currently entering the Google Gemini and note ...

When a calculation result is off by one yen, simply adding round at the end does not always solve the problem. The result ...

In this guest post, physicist and science writer Matt von Hippel shares what happened when he issued a challenge to AI companies regarding a problem in his former subfield of theoretical physics. It’s ...

mssql-python is Microsoft's Python driver for SQL Server, Azure SQL Database, Azure SQL Managed Instance, and SQL database in Microsoft Fabric. It uses Direct Database Connectivity (DDBC), so you can ...

It's about the mistakes that make a running program wrong. Below are seven of them. For each one you get the hidden cause, plus the first thing worth checking. Some Python bugs announce themselves ...

Security researchers Hedi Ingber and Aviyam Ivgi presented findings at Black Hat USA 2026 on August 6 showing that the dominant security assumption behind AI agent deployments — that guardrails placed ...

Security flaws in agent infrastructure from Amazon Web Services (AWS), Google, and Vercel let untrusted or forged instructions reach an agent's tools with no check that a model turn had authorized ...

In this tutorial, we build an advanced workflow around Anthropic’s financial-services repository and reproduce its skill-driven architecture in pure Python. We begin by installing the required ...

In 1945, Vannevar Bush imagined a desk-sized machine that would extend a scientist's memory by storing every document, annotation, and trail of thought for recall on demand. He called it the MemEx.

This notebook builds an improvement flywheel for an agent. We start with real traces, add human and model feedback, turn that feedback into evals, and use the resulting evidence to propose the next ...