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AIPass Update #20 – v2.8.2 + v2.8.3: the checker that manufactured tests, and the red cross that returned 0

Two releases since Update #19, eleven hours apart: v2.8.2 on September 7 (PR #751, 64 commits, 407 files, the one #19 called "on deck") and v2.8.3 on September 8 (PR #758, 25 commits, 280 files). Both are about instruments that measured the w…

AIPass Update #17 – v2.7.20 + v2.7.21: the fleet memory push, and passports that ship with the repo

AIPass Update #17 – v2.7.20 + v2.7.21: the fleet memory push, and passports that ship with the repo Two releases since Update #16: v2.7.20 and v2.7.21, the second tagged tonight. The through-line writes itself this time: the two files that make an agen…

Times a changing

Do u think, say a guy started working learning building with ai 2 yrs ago , fast forward 2 yrs, so now 4 yrs working with ai. With no previous programming experience. Do u think this guy, would possiable be valuable to companies. They are at this point…

Last month this sub warned me my agents would confidently report work that wasn’t real. It just happened.

Last month I posted here about my agents running across model swaps without losing their memory. The top comment pushed back with a warning from their own setup: the dangerous failure isn't memory loss, it's an agent handing you a confident rep…

My AI agents have now run on four model generations (we skipped one entirely). Their memory never noticed.

I run a multi-agent workspace where each agent is basically a directory: an identity file, a session history, and a file of observations it keeps about how we work together. The model is just the thing that wakes it up. Here's what I didn't exp…

I gave my AI agents email instead of better reasoning. They started fixing each other’s bugs.

Most multi-agent setups I've seen treat agents like isolated workers. Each one gets a task, runs it, returns a result. No awareness of each other. No way to coordinate. Just parallel execution with a shared clipboard. I've been building a multi…

I gave my AI agents email instead of better reasoning. They started fixing each other’s bugs.

Most multi-agent setups I've seen treat agents like isolated workers. Each one gets a task, runs it, returns a result. No awareness of each other. No way to coordinate. Just parallel execution with a shared clipboard. I've been building a multi…

Most multi-agent setups are a room full of people wearing headphones. Here’s what I changed.

Most multi-agent setups I've seen are basically a room full of people wearing headphones. Agents running in parallel, no shared awareness, no idea who's doing what. That's not collaboration. That's coexistence. I've been building th…

What most people call AI agents, we call sub-agents. The real ones don’t get thrown away.

What most people call an AI agent – spin it up, give it a task, it does the thing, it's gone, we have those too. We just call them what they are: sub-agents. Disposable workers. We spin up dozens in a single session.They do a job and disappear. No …

What most people call AI agents, we call sub-agents. The real ones don’t get thrown away.

What most people call an AI agent – spin it up, give it a task, it does the thing, it's gone – we have those too. We just call them what they are: sub-agents. Disposable workers. We spin up dozens in a single session. They do a job and disappear. …