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From Writing to AI: the pattern repeats itself

When I was ten years old, my dad bought a computer and, thanks to an advertising supplement in a Superman comic I read, it was a TRS-80. A month later, he dragged the entire family (my mom and brother were not the most enthusiastic) to a class at Radio Shack teaching how to use microcomputers. At the time, I understood why my mom wasn’t that excited: the computer was yet another gadget in the house. But today I find it fascinating. My mother went to Vassar in the 50s. She learned how to type — not a common skill at the time — but it opened doors. Her ability to communicate effectively led her to a career in adult education and later communications work with the CBC (Canadian Broadcasting Corporation). This isn’t a nostalgia post. Today, the ability to use artificial intelligence, be it through Copilot or simply writing the right prompt, is becoming a critical skill. But is it really that novel? In the 1500s and 1600s, the printing press gradually made reading accessible beyond cler...
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Who Wants To Be Logical? I Do! I Don't! (with Claude)

In my book, Towards Consciousness, I explore PET , a theory that attempts to explain consciousness and possibly how it might apply to AI. As part of the conversations with AI series, I've included this conversation with Claude.AI in which we were talking about something very different and yet the conversation redirected itself back to PET. For the record, there is no such thing as "Colfsity". A It's interesting to me that people want to proclaim their distinction from being rigid and unlike machines, yet they also complain that the "best" people keep a rigid schedule, regular routines and logic understanding of issues. That's a perceptive observation about a real tension in how people think about themselves and what they value. There does seem to be this paradox where rigidity is simultaneously rejected as "robotic" or inhuman, yet praised when it appears as discipline, consistency, or logical thinking. I think part of what's happening is t...

Friend vs Therapist vs LLM: Shades of Grey

The conversations with AI series brings up a single point and then compares it between different LLM engines. These types of conversations were one of the many contributing factors to my writing of " Towards Consciousness " that explores the benefits and issues of creating a conscious AI. In this scenario, I was interested in seeing how an LLM might differ from a friend or therapist on issues that may have nuanced responses or contexts. In doing so, I came up with an interesting discussion on shades of grey. My Premise: Is it a bit strange to be using an LLM as a sober second thought? Every time I walk down this path of “why use an LLM to do certain things”, I come back to the alternatives that people like to say. “Why not bring it up with a friend?” A friend typically has your back or will say whatever to support their own agenda. “A therapist?” That’s someone who is “trained” to be impartial. But a computer? A computer is impartial based on two logical outcomes. If you say ...

When A Machine Starts To Care

“Any sufficiently advanced technology is indistinguishable from magic.” Arthur C. Clarke (1962)  I first used that quote when I was starting out in the tech industry. Back then, it was a way to illustrate just how fast and powerful computers had become. Querying large datasets in seconds felt magical—at least to those who didn’t build them.  Today, we’re facing something even more extraordinary. Large Language Models (LLMs) can now carry on conversations that approach human-level fluency. Clarke’s quote applies again. And just as importantly, many researchers argue that LLMs meet—or at least brush up against—the criteria of the Turing Test.  We tend to criticize LLMs for their “hallucinations,” their sometimes-confident inaccuracies. But let’s be honest: we also complain when our friends misremember facts or recount things inaccurately. This doesn’t excuse LLMs—it simply highlights that the behavior isn’t entirely alien. In some ways, it mirrors our own cognitive limits....