Opaque Recurrence and the New AI Vocabulary That's Leaving Everyone Behind

As AI reshapes the world it is coining a language faster than most of us can keep up with — opaque recurrence, RLHF, RAG, and a dozen terms that now decide billions in funding and safety debates.

Published: 2026-09-08 Category: Quick Take Sources: TechCrunch

The vocabulary gap

AI is rewriting the world and, at the same time, inventing a whole new language to describe how it's doing it. Sit in on any product meeting, pitch, or panel these days, and you'll hear people toss around LLMs, RAG, RLHF — and, as of last week, terms like opaque recurrence, the reasoning technique in OpenAI's new Astra model that has AI safety researchers rattled. TechCrunch's team compiled a living glossary precisely because the vocabulary moves fast enough to make even very smart people in the tech world feel a little insecure.

The stakes are higher than jargon fatigue. When a term like "opaque recurrence" becomes a point of contention between frontier labs and safety researchers, the ability to define it precisely is not academic — it decides what gets regulated, what gets funded, and what the public is told.

Four terms worth knowing

  • AGI is a nebulous target. OpenAI CEO Sam Altman once described it as the "equivalent of a median human that you could hire as a co-worker," while OpenAI's charter defines it as "highly autonomous systems that outperform humans at most economically valuable work." Google DeepMind sees it as "AI that's at least as capable as humans at most cognitive tasks." Experts at the forefront of the field can't agree — which is exactly why the term stays politically charged.

  • An AI agent is a tool that performs a series of tasks on your behalf — filing expenses, booking a table, writing and maintaining code — beyond what a basic chatbot does. The infrastructure is still being built out, and the term means different things to different vendors, but the core idea is an autonomous system that can chain together multiple AI systems to complete multistep work.

  • Chain-of-thought reasoning is the technique of breaking a problem into intermediate steps to improve answer quality. It takes longer but produces more correct results, especially for logic and coding. Reasoning models are LLMs optimized for this via reinforcement learning.

  • Opaque recurrence is the newcomer. It refers to a reasoning behavior in OpenAI's Astra that researchers find hard to interpret, and it is central to the current safety controversy surrounding the model's launch.

Why it matters

The gap between the people who speak this language and everyone else is not a curiosity — it is a power imbalance. When a safety researcher warns about "opaque recurrence" and a product lead dismisses it as an implementation detail, the disagreement happens in a language most of the public never learned. That makes genuine oversight harder, because the conversation happens above the heads of the people who are supposed to be protected by it.

There is also a real tension at the heart of the glossary. Terms like "opaque recurrence" exist to describe systems that are genuinely hard to understand — but the act of naming them can create a false sense of comprehension. Knowing what a term means is not the same as understanding the system it describes. The glossary is a good start; the humility behind it matters more.

Source: TechCrunch, "Opaque recurrence, and other AI terms that you should probably know" (2026).