# We Are Scaling AI Capability Faster Than We Are Scaling Comprehension

Page: https://stenobird.com/podcast/cybersecurity-tech-brief-by-hackernoon-6365646/we-are-scaling-ai-capability-faster-than-we-are-scaling-comprehension
Text version: https://stenobird.com/podcast/cybersecurity-tech-brief-by-hackernoon-6365646/we-are-scaling-ai-capability-faster-than-we-are-scaling-comprehension.md
Podcast: [Cybersecurity Tech Brief By HackerNoon](https://stenobird.com/podcast/cybersecurity-tech-brief-by-hackernoon-6365646)
Published: 2026-05-08T16:01:15+00:00
Episode link: https://share.transistor.fm/s/bcd0da63
Audio file: https://media.transistor.fm/bcd0da63/059fdebb.mp3
Processing state: not_requested
JSON: https://stenobird.com/v1/public/podcasts/cybersecurity-tech-brief-by-hackernoon-6365646/episodes/we-are-scaling-ai-capability-faster-than-we-are-scaling-comprehension
Duration seconds: 354

## Resource

This story was originally published on HackerNoon at: https://hackernoon.com/we-are-scaling-ai-capability-faster-than-we-are-scaling-comprehension . At AICCONS 2026, Okta’s Arun Kumar Elengovan warns: AI is advancing faster than we understand it. Here’s why foundations matter more than ever. Check more stories related to cybersecurity at: https://hackernoon.com/c/cybersecurity . You can also check exclusive content about #ai-security , #production-ai-failures , #prompt-injection-hallucination , #ai-foundations-representation , #vector-embeddings , #symbolic-ai-explanation , #risk-analysis , #good-company , and more. This story was written by: @jonstojanjournalist . Learn more about this writer by checking @jonstojanjournalist's about page, and for more stories, please visit hackernoon.com . Arun Kumar Elengovan argues modern AI is scaling faster than human understanding. At AICCONS 2026, he breaks AI down to three fundamentals—representation, learning, and reasoning—warning that models don’t learn truth, only patterns. As systems evolve into agents, risks shift from answers to actions, making security, interpretability, and guardrails essential for building trustworthy AI.

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