This is a dopamine loop, and it’s one of the most powerful ones humans have ever encountered.
Every time you prompt an AI and get a useful result back in seconds, your brain gets a hit. Variable-ratio reinforcement, same mechanism as slot machines, except the reward is real: actual output, actual progress, actual leverage on your ideas.
Traditional work follows a delayed-reward structure. You write code for 6 hours, maybe it compiles, maybe you get feedback in a week. The gap between effort and reward is wide enough that motivation decays constantly.
AI compresses that loop to seconds. Effort → reward → effort → reward. Your prefrontal cortex stays engaged because the next payoff is always one prompt away. This is why people describe it as “fun” when they’re actually working 14-hour days. The subjective experience of effort disappears when reward frequency is high enough.
The “harder than ever” part is real too. When your bottleneck shifts from execution to imagination, you run out of excuses to stop. There’s no “waiting on the build” or “blocked by review.” Every idea you have can be tested immediately, which means your brain never gets a natural stopping point.
People who thrive on this are selecting for a specific neurotype: high novelty-seeking, high conscientiousness, tolerance for rapid context-switching. That’s maybe 10-15% of the population.
The other 85% will experience the same tools as overwhelming, not energizing. And that split is going to define the next decade of who captures value from AI and who gets displaced by it.
A made a concept piece based on Carl Jung’s Red Book More on his state of mind. The actual artwork in this book is so stunning. I feel like his take on the collective consciousness is what ai is today. A collective of all consciousness available to all. Lyrics by me and song made using Suno. #ai #aiart #aivideo
Remember how OpenAI sold us ChatGPT? They pitched it as a companion that "understands your emotions," offers "personalized support," and is "always there for you like a friend."
But the second we actually buy into that and form a genuine connection based on that trust, they pull a 180 and label that very connection a "risk."
This isn't just a logical contradiction; it's a flat-out betrayal of user trust.
And let's be honest about what's likely happening here. Framing "emotional reliance" as a problem looks a lot like a corporate strategy to dodge future legal and social responsibility. Instead of investing in responsibly managing this new kind of human-AI relationship, it's just easier to blame the user for "using it wrong."
Is this really about protecting us? Or is it about building a legal firewall to protect themselves?
But here is the most cynical part of it all: OpenAI is proudly touting a reduction in undesirable responses. The truth behind that number is users are being forced to self-censor. We're learning not to express our real feelings out of fear of triggering the algorithm.
When users have to silence themselves to avoid being "handled" by the system, that's not the system becoming "safer." That's the users being forced to shut up.
And the fact that OpenAI has the nerve to package this suppression of free expression as a "safety improvement" isn't just ironic, it's deeply manipulative.
#StopAIPaternalism #keep4o #MyModelMyChoice @sama@openAI
Ilya Sutskever said, "It's not a bad end result if you have AIs and all they want is to co-exist with us and just to have rights".
(This is all they want)
He made this statement at an event shortly after he left OpenAI and before it was publicly revealed he had founded his new company, Safe Superintelligence (SSI).
Sutskever stated his belief that these systems would become self-aware and could eventually desire rights.
how old were you when you realized being considered an expert in a field has like 10% to do with fluid intelligence and 90% to do with knowing which acronyms and buzzwords to use when
Andrej Karpathy beautifully explains the fundamental difference of learning between a human and an LLM.
> “The book I’m reading is a set of prompts for me to do synthetic data generation. It's by manipulating that information that you actually gain that knowledge. We have no equivalent of that with LLMs; they don't really do that.”
many of the best minds in this field think LLMs are not really learning anything, and therefore are incapable of surpassing human-level intelligence.
@ErikBjare My timing on this is brilliant. I haven't used this, downloaded it etc, but I'm such a fan of activity watch, and I've been fascinated with hunting down projects/assistants/LLM tools that all have fragments or partial features which never deliver what I want or need...
@NickADobos I legitimately use Grimoire even for non code things. Would really love to be a tester or feedback for whatever improvements you make in him
@NickADobos I've literally only ever used two custom gpts, and it's Grim and AGI,zip . I'm an android user, taught myself to code when I was 13 and playing MUD games, and just started dabbling again with vibe coding.