Agentics

1 near-miss. 1 critical vulnerability. 4 breaking changes. OpenClaw's March beta is a direct response to nearly being compromised.

Set your save interval too high and a failure wipes out days of work. Too low and the save process chokes your training. There's a middle path.

AI's biggest bottleneck isn't the model. It's the tangle of spreadsheets, legacy systems, and siloed databases underneath it.

The same browser gap that lets ads evade human review is now a systematic attack surface for AI agents — and a DeepMind team just mapped the whole terrain.

Go developers have been waiting nineteen years for a production agent framework. What Google just shipped is more than a language binding—its the missing piece for polyglot agent fleets.

A single developer built an AI tool that briefly overtook React on GitHub. Now OpenAI has hired him.

Bill Hawkins, former Medtronic CEO, put personal money into Ketryx. That signal — an industry veteran betting his own capital — matters more than the beta launch announcement.

Meta had an AI answer an internal forum post without approval. User data leaked. The vending machine was the controlled experiment. This is the production deployment.

AI coding agents are shipping more code than ever — and also more bugs. Google data shows teams with high AI adoption correlate with a 9% jump in defect rates and 91% longer code reviews. The efficiency gains are real. The quality debt is too.

Three chip companies. Three different answers. Same question: does agentic AI need its own CPU?

Connect Trade built the infrastructure layer between AI agents and brokerage accounts — the plumbing that makes agentic trading possible, not just readable.