nghnam

No. However I am improving the visibility of the project via multiple channels like HN, PH. My project: https://apxy.dev/

I am working on https://apxy.dev - network debugging tool for AI agent

I’d be careful about reading too much into these numbers. The test only looks at cases where the model doesn’t know the answer, so it doesn’t show how often users will actually see hallucinations.

I am working on https://apxy.dev

superpowers/brainstorming is doing TDD as well.

Never trust AI agent when working with prod data.

I like this idea.

I’ve always felt a bit uneasy about agents getting direct access to keys. Once they have them, it’s hard to know where those keys might go.

This feels cleaner to me. The agent does not need to see the real secrets. You still have to trust another layer, but that layer feels easier to control and reason about.

I think Google is using this to put pressure on OpenAI, while also getting some extra upside—like a possible path to acquire Anthropic later. And honestly, this could turn out to be bad news for OpenAI.

My old company ran public and private cloud with Openstack and Ceph. We had 20 Supermicro (24 disks per server) storage nodes and total capacity was 3PB. We learnt some experiences, especially a flapping disk made whole system performance degraded. Solution was removing bad sector disk as soon as possible.