Why is it that with ChatGPT, Gemini, Claude, Copilot and other LLMs we have to always start new chats for them to work well? What is the scientific explanation? What are the hypotheses? What is the evidence for each?
PROMPT ENGINEERING
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Claude’s Post-Training Quality and Conversational Consistency Praised
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Every time you are chatting with claude(Opus 4.5 esp. but seems to apply to all models), you quickly realize how clever claude post-training is. The attention to details, data quality. It's rare that claude will break in the middle of conversations. I think this is beyond system
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Poetiq beats Gemini 3 on ARC-AGI-2
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Poetiq system achieved 54% score on ARC-AGI-2 benchmark, surpassing Gemini 3 Deep Think at more then twice lower compute cost. Poetiq (Mix) is a combined self learning system that leverages Gemini 3 and GPT-5.1 models. We want to do SVG tests
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ChatGPT Generates Images While Waiting
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ICYMI: You can ask ChatGPT to generate more images while you are waiting for the 1st image to be completed. And yes, this is possibly an image-2 A/B test
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The Blurring Line Between User and AI Prompting in 2026
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The boundary between you prompting the model and the model prompting you is going to get blurry in 2026
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OpenAI May Release GPT-5.2 Soon
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BREAKING : OpenAI may release GPT-5.2 as early as December 9 according to The Verge. RedGPT
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Techniques to Reduce Hallucinations and Boost Accuracy
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You can use these techniques RIGHT NOW I've been using these with Claude Sonnet 4.5, GPT-4, and Gemini 2.0 Flash for 6 months. Results: – 100% reduction in hallucinations on technical docs
– 3x faster iteration on code generation
– 90%+ accuracy on complex analysis tasks The -
Meta-Prompting: The Nuclear Option
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Technique 10: Meta-Prompting (The Nuclear Option) This is what OpenAI's red team uses to break their own models and find edge cases. You ask the AI to generate the perfect prompt for itself. Template: I need to accomplish: [high-level goal] Your task:
1. Analyze what would -
Multi-Perspective Prompting Technique
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Technique 9: Multi-Perspective Prompting Anthropic's Constitutional AI uses multiple viewpoints to reduce bias and improve reasoning. Template: Analyze [topic/problem] from these perspectives: [PERSPECTIVE 1: Technical Feasibility]
[specific lens] [PERSPECTIVE 2: Business -
Technique 8: Constraint-Based Prompting
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Technique 8: Constraint-First Prompting Google Brain researchers begin by defining constraints before addressing the actual task. Template: HARD CONSTRAINTS (cannot be violated):
– [constraint 1]
– [constraint 2]
– [constraint 3] SOFT PREFERENCES (optimize for these):
– [preference 1]
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