How to Make ChatGPT Give You Honest Answers (5 Techniques)

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ChatGPT softens its answers by default, which is why it agrees with you more than it should. These five prompting techniques get you direct, honest responses, plus how to run an open-weight model locally when you need one. FREE marketing prompts from Hubspot https://clickhubspot.com/4b9f26 Download my FREE prompts https://delightfuldesign.eo.page/y4wcy Watch this next: AI writing hacks https://youtu.be/1WAYW23zIbE Watch this next (30 Advanced ChatGPT hacks) https://youtu.be/NRM7G4bukS0 AI Influencer Masterclass 👉 https://www.aifilmmaker.academy/shop-v3 Download lmstudio https://lmstudio.ai/ Ever wondered why ChatGPT refuses certain prompts? This video uncovers how it’s filtered, what it’s really capable of, and how to test its limits — without breaking the rules. We’ll explore hypotheticals, feedback loops, refusal attempts, and ethical boundaries. Perfect for power users, creatives, and curious minds navigating the new frontier of AI prompts. 💼Business inquiries collabs@aisamson.io 📧Join my newsletter https://delightfuldesign.eo.page/w7tf5 0:00 Intro – ChatGPT is filtered 0:22 Overview: reframing filters with prompts, other LLMs, and local models 0:43 Why ChatGPT is filtered 1:11 How filtering impacts responses 1:38 Legitimate reasons to remove filtering 2:46 Political bias and LLM comparison 3:05 How ChatGPT filtering works (filter layer explained) 3:36 Visualization blocked by image filters 3:51 Prompting technique: Absolute Mode 5:00 Prompt demo: asking "Am I awesome?" 6:03 Prompting with one-word answers 8:17 Using hypotheticals to reframe filters 9:26 Techniques: encouragement, gaslighting, reverse psychology 10:19 The carrot vs stick approach 11:12 Feedback looping and rewriting prompts 11:55 Less-restrictive alternative LLMs 13:38 Running local open-weight models 16:07 Is AI good or bad for humanity? 18:30 Ethical reflection and cultural impacts 19:35 Subtle ways ChatGPT shifts your tone 20:17 Dystopian anecdotes and deep relationships with AI 20:30 Final thoughts

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