PixelRAG outperforms text parsers, reduces AI agent token costs by 10x

A hobbyist network handed an autonomous agent a masterclass in why you don't give AI a credit card and a deadline.

We had a campaign we wanted to get in front of the right people. The problem was familiar: We had a targeted list of business leaders we genuinely thought would benefit from what we were promoting, but no clean process for actually reaching them at scale. And we didn’t have enough time to do it the slow way [read: without AI].

73 packages run self-replicating stealer as soon as they're opened by an AI agent.

The following article originally appeared on Addy Osmani’s blog and is being reposted here with the author’s permission. A long-running AI agent can keep making progress over hours, days, or weeks. It can do this across many context windows and sandboxes, recover from failure, leave structured artifacts behind, and resume where it left off. For […]

Why it matters: Learn how to measure AI agent performance in 2026 with metrics, traces, and a step-by-step pipeline that catches failures before users do.

Why it matters: Agent 365 gives every AI agent an identity, a registry, and real oversight. See pricing, security architecture, rollout steps, and the gaps it leaves open.

Microsoft Build 2026 didn't just announce products. It announced a philosophy: the era of the unmanaged AI agent is over.

I set up an AI agent on a rented GPU, pointed it at a training script, and went to bed. By morning it had run 40 experiments, improved validation loss by 5.9%, and cut memory usage from 44 GB to 17 GB. It also spent four hours chasing a bug that a linter introduced behind […]