Carlos E. Perez
@IntuitMachine
Quaternion Process Theory, Artificial (Intuition, Fluency, Empathy), Patterns for (Generative, Reason, Agentic) AI, https://intuitionmachine.gumroad.com/
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Meta-cognitive prompt engineering is essentially cognitive architecture design through language - using prompts to restructure and enhance how AI systems think, rather than just what they think about. The key insight is that regular prompts operate at the content level ("What is…
If I had posted this a year ago, I doubt it would have gone viral. It resonates today because many can relate to the discovery. This wasn't true a year ago. This shows how quickly AI is changing our cognition and our understanding of cognition. Buckle up for the ride!
You know how some people seem to have a magic touch with LLMs? They get incredible, nuanced results while everyone else gets generic junk. The common wisdom is that this is a technical skill. A list of secret hacks, keywords, and formulas you have to learn. But a new paper…
Wow!@poetiq_ai's solution to ARC-AGI-2 shows how, with structured prompting, you can beat out LLM base models and deep-thinking models.
Everyone says LLMs can't do true reasoning—they just pattern-match and hallucinate code. So why did our system just solve abstract reasoning puzzles that are specifically designed to be unsolvable by pattern matching? Let me show you what happens when you stop asking AI for…
Time to get used to being in a Post-AGI reality.
Google just dropped "Titans"—an architecture that learns to REMEMBER at test time. Here's why this changes everything about long-context AI 🧵👇 The problem: Transformers are too accurate for their own good. They keep a PERFECT record of everything (the "KV cache"). But that…
Should we redo our Vibe-coded projects from scratch using Opus 4.5?
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