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Understanding the Ethics Interface Protocol: Built-in Moral Constraints for AI Systems
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When you ask ChatGPT, Claude, or Gemini a really tough question,
you might notice that little "thinking..." moment before it answers.
But what does it actually mean when an LLM is “thinking”?
Imagine a chess player pausing before their next move not because they don’t know how to play, but because they’re running through possibilities, weighing options, and choosing the best one.
LLMs do something similar… except they’re not really thinking like us.
Here’s the surprising part :-
You might think these reasoning skills come from futuristic architectures or alien neural networks.
In reality, most reasoning LLMs still use the same transformer decoder-only architecture as other models
The real magic?
It’s in how they’re trained and what data they learn from.
Can AI actually think, or is it just insanely good at faking it?
I broke it down in a simple, 4-minute Medium read.
Bet you’ll walk away with at least one “aha!” moment. 🚀
Read here - https://lnkd.in/edZ8Ceyg
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Open-source DeepResearch – Freeing our search agents
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