Matt WamplerCEO & Co-Founder, ClearCOGS · CEO & Co-Founder, ClearCOGS 🔪

Trusting AI From the Get-Go Is a Rude Awakening Waiting to Happen

14 Jul 2026 · 1 min

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In this brief monologue, the speaker warns against the naïve assumption that AI systems can be trusted immediately without rigorous oversight. He recounts an example where an instruction required four rounds of adjustment yet the model still failed to catch an error each time. The speaker emphasizes the necessity of continuously specifying what the AI can and cannot do, and of validating its behavior not only through the model's internal tests but also against real-world datasets. He cautions that the powerful capabilities of modern AI are easily misused by less discerning or inexperienced users who may place unwarranted trust in the technology, leading to costly mistakes.

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Treating it like it is to be trusted from the get-go is a rude awakening waiting to happen. I've had a, like an instruction that had 4 iterations of adjustment to it and it still slipped and it didn't catch it 4 times. Constantly telling it what it can, can't, should and shouldn't be doing, verifying through experience then. And not just its own tests, but through real datasets of whether or not it's complying. But to think that this incredibly powerful capability has been given at our fingertips, but those of us who may be less discerning or less experienced with it are treating it like it is to be trusted.