Artificial IntelliTools

  Can We Teach AI desire? The Blurred Line Between Human and Machine Emotion Image by  StarFlames  from  Pixabay Picture this: You're locked in an intense chess match. Your opponent moves their queen to block your attacking bishop, saving their king from imminent danger. When you make this same strategic move, you'd say you acted out of concern, worry, perhaps even a touch of fear for your king's safety. But what if your opponent isn't human—what if it's a computer? Did the machine "worry" about its king? Did it "desire" to win? Or are we simply projecting human emotions onto cold, calculating algorithms? This question sits at the heart of one of the most profound debates in artificial intelligence: Can machines truly experience emotions, or are they merely sophisticated mimics performing an elaborate dance of programmed responses? The Chess Paradox: When Machines Mirror Our Motivations Chess offers us a perfect window into this puzzle. When...

  How Humans Have Tried to Explain, formalize, and understand the World Around Them Over Time. "For much of human history, we were like the LLMs, figuring things out by matching patterns in our minds." - Stephen Wolfram Humans have been trying to understand the world around them for centuries. We have used a variety of models to explain the natural world, including structural models, mathematical models, computational models, and multicomputational models. All these, in my view, contribute to what we can collectively call Intelligence and kind of paint an interesting picture of human intelligence, how it has evolved over time, why it's different from other forms we see in the world, and why our attempt to model out intelligence is going to be an interesting journey to watch. Antiquity Structural models - It's all about what things are made of. They were developed in antiquity and are based on geometric elements. These models do not consider time explicitly and are ba...