I’m driven by a passion for self-stimat and self-estime. My work explores motivation by weaving together information theory. I am a dyslexics Brazilian guy living in Argentina, writing in English for LessWrong feels like a paraplegic playing for the major leagues—ambitious, awkward, and, every now and then, a miracle of technology.
Gabriel Brito
Thanks! I was eagerly awaiting feedback. And I see something in common, but you don't see any significant difference?
Hello! Here is a practical use https://www.lesswrong.com/posts/iByJhF2cLQmtTGFht/estimat-8-identities
I'm going to do it with the moments of peak motivation.
don't see why we shouldn't apply the same logic to corpus callosotomy. Destroying the major connection (though not the only one: there is also the anterior commissure, posterior commissure, and hippocampal commissure) between the cerebral hemispheres damages the brain; obviously. The parts that have previously cooperated fluently now have a problem to cooperate. The split-brain syndrome is a result of the damage. However, despite that, the split-brain patients typically maintain a unified sense of self and personality, it's just that some of their information processing systems are disconnected. Which makes it even less likely that in people with intact corpus callosum the two brain hemispheres secretly act as two different personalities.
That reminds me of Descartes' Error — how Damasio argues that any damage to one system tends to affect the whole, since reason, emotion, and embodiment are deeply integrated. It feels analogous to social systems too: once a channel of integration is disrupted, even if others remain, the total coherence suffers. So yeah, even when split-brain patients seem unified, it’s still a case of partial systemic breakdown.
- El cerebro izquierdo prefiere Android, el cerebro derecho prefiere iPhone
Bueno, admito que me inventé el último. El resto es una simplificación excesiva.
haha i see
hahaha, a god point!
You're right — ideally we'd have an AI watching and tagging everything, but since that's not feasible (yet), I’ve been experimenting with a workaround.
Instead of trying to record everything, I just register the moments that feel most impactful or emotionally charged, and then use AI tools to help me unpack the surrounding details. That way, even if I miss a lot of low-signal noise, I can still train a kind of pattern recognition — looking for which contextual features around those moments tend to correlate with useful outcomes later.
It's far from perfect, but it increases the odds of catching those subtle X→Y chains, even when X seemed insignificant at the time.
I use it to organize my moments of maximum motivation, objectives, routines, tasks and diary. Would you like an example in which areas?
yee, haha maybe there are a tax to do this.