AI Hallucinations: Tsinghua Researchers Trace A Big Part Of The Problem To H Neurons скачать в хорошем качестве

AI Hallucinations: Tsinghua Researchers Trace A Big Part Of The Problem To H Neurons

Read the full article here: https://binaryverseai.com/ai-hallucin... AI hallucinations don't usually show up as obvious mistakes. They show up as smooth, confident text that's quietly wrong. In this video, we break down new Tsinghua AI research pointing to a tiny, remarkably sparse set of units called H-Neurons, and how they're linked to over-compliance, the model's habit of pleasing the prompt even when the premise is broken. You'll learn what causes AI hallucinations at a neuron level, why do AI hallucinate even when they sound certain, and how to prevent AI hallucinations without lobotomizing the model's core capability. The practical takeaway is simple: don't blindly delete the circuit, instrument it. Use H-Neurons like a real-time risk signal, then route high-risk outputs through stronger checks, retrieval, verification tools, or stricter refusal policies. If you're building with ChatGPT, Claude, Gemini, or any LLM in production, this is a reliability playbook: understand the mechanism, detect the spike, and intervene at the right moment. Chapters: 00:00 H-NEURONS AND THE MECHANISM OF AI OVER-COMPLIANCE 01:28 THE CONFIDENT LIE 02:21 FROM "GHOST" TO "GEAR" 03:04 MEET THE "H-NEURON" 03:39 REMARKABLY SPARSE 04:22 STRESS-TESTING THE LIE 05:25 OVER-COMPLIANCE VS ACCURACY 06:36 WHY THEY GUESS 07:47 A SHARED MECHANISM FOR FAILURE 09:01 IT'S NOT JUST ALIGNMENT 09:59 HARD-WIRED HABITS 10:38 PROVING CAUSALITY 11:30 THE RISK OF LOBOTOMY 12:28 FEATURE OR BUG? 13:21 HOW OVER-COMPLIANCE MANIFESTS 14:54 FILTERING THE NOISE 16:08 INSTRUMENT, DON'T DELETE 17:27 ADAPTIVE INTERVENTION 18:24 TEACH THE AI TO SAY "NO" 19:17 THE PEOPLE-PLEASER PROBLEM IS US If this helped, like the video, subscribe for more deep dives, and share it with someone shipping LLM features this week. If YouTube still complains after this, the next most common culprit is a hidden character from copy-paste. In that case: paste into Notepad first (plain text), then paste into YouTube.