Opaque recurrence, and other AI terms that you should probably know

Summary

TechCrunch provides a plain-English glossary of essential artificial intelligence terminology, spanning model architectures, training methods, and safety concepts. It covers core concepts like opaque recurrence, AGI, distillation, and reinforcement learning.

Key Takeaways

1. Artificial general intelligence, or AGI, is a nebulous term. But it generally refers to AI that’s more capable than the average human at many, if not most, tasks.
2. Model Context Protocol, or MCP, is an open standard that lets AI models connect to outside tools and data — your files, databases, or apps like Slack and Google Drive — without a developer building a custom connector for every single pairing.
3. Opaque recurrence is when an AI model loops the same query through its internal layers repeatedly, instead of reasoning step-by-step in plain language.

Statement Breakdown

• Claimed Facts: 85% of statements the article presents as facts
• Opinions: 10% of statements classified as editorial or subjective
• Claims: 5% of statements surfaced for additional reader evaluation

Credibility & Bias Reasoning

Credibility assessment: The article is an educational glossary that synthesizes well-established technical concepts across modern machine learning. It cites definitions from major AI labs like OpenAI and Google DeepMind and explains complex concepts clearly. Information is grounded in standard computer science terminology and ongoing industry discussions.

Bias assessment: Educational Technology Primer. The piece aims to provide neutral, plain-English definitions of complex AI concepts without promoting a specific corporate agenda. It presents varying viewpoints and competing definitions from multiple organizations fairly. The tone remains descriptive, accessible, and balanced throughout.

Note: Educational reference summarizing technical definitions and standard industry terms as of September 2026.

Credibility flag: High Quality Explainer

Claimed Facts (8)

• Cites a verifiable corporate definition directly from an official organizational document.
• Quotes a checkable public definition from a major artificial intelligence research lab.
• Recounts specific corporate milestones and governance transfers that are matter-of-fact historical events.
• States verifiable facts regarding open product designs and reported architectural choices.
• Points out open-source licensing examples across distinct technology sectors.
• Verifiable attribution of an executive's public quote.
• Reports on the September 2026 release of OpenAI Astra and company statements.
• Describes standard commercial billing models across enterprise cloud APIs.

Opinions (6)

• Expresses an observational assessment regarding the psychological effect of rapid industry jargon proliferation.
• Uses a subjective analogy to characterize the nature and supervision requirements of coding agents.
• Offers an editorial characterization of memory supply constraints using playful colloquial phrasing.
• Presents a subjective editorial framing of open versus closed source as a defining industry debate.
• Describes personal emotional reflections and interprets them as emblematic of industry culture.
• Describes speculative apocalyptic viewpoints surrounding recursive self-improvement scenarios.

Claims (6)

• Presents an unconfirmed hypothesis regarding OpenAI's proprietary model development pipeline.
• Relies on unverified industry rumors regarding OpenAI's implementation of Mixture of Experts architecture.
• Speculates on an unproven theoretical extreme where model cognition becomes entirely uninterpretable.
• Suggests that recent architectural techniques necessarily represent a direct pathway toward uncontrollable black-box reasoning.
• Attributes model hallucinations purely to training gaps, oversimplifying a multifaceted probabilistic phenomenon.
• Makes an open-ended, unquantified prediction about hardware memory supply chain pricing dynamics.

Key Sources

• TechCrunch — Technology News Publication
• OpenAI — Artificial Intelligence Research Laboratory
• Google DeepMind — Artificial Intelligence Research Laboratory
• Sam Altman — Chief Executive Officer at OpenAI
• Andrej Karpathy — Artificial Intelligence Researcher
• Anthropic — Artificial Intelligence Research Laboratory