About a month ago @0xSero asked: “FFmpeg but for LLM inference, who’s building this?” x.com/0xSero/status/20573785… With llmff v1.1, I’m proud to say: I built it. llmff is the composable pipeline tool for LLM inference — think FFmpeg filter graphs, but for typed inference stages (load → infer → retrieve → validate → repair → route → loop). v1.1 adds native `op: loop` with bounded iterations, explicit break conditions, per-iteration tracing, and full inspect support. Perfect for the refinement, retry, and self-correction loops everyone is building right now. Repo install: github.com/syndicalt/llmff cargo install --git github.com/syndicalt/llmff --tag v1.1.0 llmff Still early, but the foundation is solid. Feedback welcome.

Basement is flooded again. 🙃

😏 As an "AI engineer" working for large Federal agencies...I definitely feel this.

Bitcoin didn't do anything about it though. It just introduced a slew of new pain points (not the least of which was the "crypto community").

This principle - from the title - is foundational to why ecosystems as structured complex adaptive systems are (more) stable, while isolated frontier elements are typically not. It draws most directly from ecological succession dynamics, the diversity-stability literature in network ecology, and resilience/panarchy theory in complex adaptive systems. Nadella's phrasing is a contemporary application of these ideas to AI/platform economies.

#PlsHalp: Where do people go to get external security reviews of crypto implementations?

>- ambitious, competent leaders Welp 😐

The way some people are talking you would think we're living in Johnny Mnemonic.

It's interesting that @demishassabis made the claim that companies are looking for AI orchestrators. I built a production-grade tool for inference pipelines and am currently building what will be the first agentic runtime with full enterprise, production-grade orchestration. github.com/syndicalt/llmff github.com/syndicalt/ainix-p…