I raised an open question about where AI’s next major breakthrough will come from as the field moves from standalone LLM applications toward autonomous, multi-agent systems.
I framed four possible sources of the next major breakthrough: better reasoning models, context and memory architectures, agent orchestration, or reliable human-in-the-loop systems.
I asked whether attention might be too focused on making agents smarter while overlooking infrastructure needed to make them dependable in real-world environments; I posed this as a question, not a settled conclusion.
I invited practical experiences, architectural insights and unconventional perspectives to inform the discussion.
The post is dated 2026-11-06 16:48 UTC.