OpenAI is throwing everything into building a fully automated researcher
OpenAI is refocusing its research efforts and throwing its resources into a new grand challenge. The San Francisco firm has set its sights on building what it calls an AI…
March 2026
5 Powerful Python Decorators for Robust AI Agents
These five Python decorators have saved me from countless headaches, and they will probably save you, too.
The best AI investment might be in energy tech
Power has become one of the biggest bottlenecks in rolling out new AI data centers. That’s creating an opening for investors.
Beyond Code Review
Not that long ago, we were resigned to the idea that humans would need to inspect every line of AI-generated code. We’d do it personally, code reviews would always be…
LinkedIn Invited My AI ‘Cofounder’ to Give a Corporate Talk—Then Banned It
When social media is constantly exhorting people to use AI, what is the point of not letting AI agents participate?
I Learned More Than I Thought I Would From Using Food-Tracking Apps
These apps, some of which use AI and computer vision, were helpful for meeting my caloric and nutrition intake goals. But they also gave me some anxiety.
Why Manual Patch Management No Longer Works
Cyber threats are evolving faster than ever. Every week, vendors release dozens of security patches to fix vulnerabilities in operating systems, applications, and third-party software. For IT teams managing hundreds…
IntelliLoad: Building a Smarter AI-Assisted Load Testing Tool
While everyone around me was busy exploring the latest AI tools, I decided to take a slightly different path — exploring AI for load testing. I tried popular tools like…
Claude Legal Prompt Shock, LegalOn GPT 5.4 Review, Legal Innovators +
We start this week’s Wrap with a real shocker! A chap on Twitter named Nav Toor, (see images), published 12 quite detailed legal prompts for …
LlamaIndex Releases LiteParse: A CLI and TypeScript-Native Library for Spatial PDF Parsing in AI Agent Workflows
In the current landscape of Retrieval-Augmented Generation (RAG), the primary bottleneck for developers is no longer the large language model (LLM) itself, but the data ingestion pipeline. For software developers,…