Articles

  • 2 weeks ago | qoshe.com | John Nosta

    I’ve spent the last few years immersed in the strange and compelling world of large language models (LLMs)—writing, speaking, and, yes, obsessing over their inner workings. From the collapse of thought in hyperdimensional space to the Cognitive DAO, I’ve explored how these machines don’t just process language—they provoke new ways of understanding thought itself. What fascinates me most is how LLMs generate language not through linear reasoning or fixed logic, but through probability.

  • 2 weeks ago | psychologytoday.com | John Nosta

    It all began with awe—the kind that leaves you quiet. Not from reading headlines about artificial intelligence, but from watching it in action. I’ve spent the better part of the past few years immersed in the world of large language models—curious, skeptical, inspired. And somewhere along the way, the narrative began to shift. These weren’t just tools anymore. They weren’t digital assistants or clever engines of suggestion.

  • 2 weeks ago | psychologytoday.com | John Nosta

    One of the most common words I’ve seen used to describe large language models is mimic. Sometimes it reflects the statistical mechanics of prediction and pattern, other times, it’s a condescending swipe at their lack of “real” intelligence. Either way, the mimic is here. We live in an age of mimicry—or perhaps even of mimics themselves. Large language models don’t possess original thought or genuine emotion, and yet they often sound like they do. Why? Because they are trained on us.

  • 2 weeks ago | qoshe.com | John Nosta

  • 2 weeks ago | psychologytoday.com | John Nosta

    I remember being in my early 20s, sitting under an expansive sky, reading a strange yet captivating book titled The Dancing Wu Li Masters by Gary Zukuv. It didn’t promise physics in the conventional sense. Instead, it offered something stranger. It was an invitation to look sideways at reality, where quantum theory met Eastern thought, and uncertainty wasn’t a flaw but a doorway. What captivated me most wasn’t the science itself—it was the spirit of the book.

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John Nosta
John Nosta @JohnNosta
23 Apr 25

RT @venturetwins: Use AI to turn your kids' drawings into beautiful animations that absolutely aren't nightmare fuel 🫶 https://t.co/IL9XLVl…

John Nosta
John Nosta @JohnNosta
23 Apr 25

RT @DavidRozado: How GPT-4.1 and Grok 3 align politically according to four different political orientation models https://t.co/j8znImmH3m

John Nosta
John Nosta @JohnNosta
22 Apr 25

RT @BrianRoemmele: BOOM! FREE Text to multi-guest podcast AI. Open Source Nari Labs with Dia-1.6b just beat podcast-style clips on Google…