Claim
BREAKING NEWS: Seems like OpenAI may have come up with a way to dramatically reduce the hallucinations in AI models. Hallucinations are when the AI makes up things that it thinks are true -- but just aren't. The solution was brilliantly simple. So simple, I'm surprised we didn't come up with it sooner.
Mechanism
That's why standardized tests (like the SAT) have a penalty for wrong answers. They want to remove the benefit of simply guessing.
Conditions
Holds when: the operating context matches the post's stated frame (team shape, stage, tooling, buyer type).
Fails when: the practice is lifted into a different stage or buyer context without reworking the underlying mechanism.
Evidence
"Hallucinations are when the AI makes up things that it thinks are true -- but just aren't."
— Dharmesh Shah, LinkedIn, 2026-04-10
Signals
- The team observes the pattern repeating across multiple cycles before naming it.
- Practitioners stop questioning the discipline once results compound.
- Skipping the step shows up as friction within one or two iterations.
Counter-evidence
No opposing view in current corpus.
Cross-references
- (none in current corpus)