Raw LLM Responses

Actuellement in French means right now, currently! Actualites means news, as in media. In English Neil might scare those who believe they can't understand science. Remember everyone USES some logic, empiricism, and observational evaluation, seeing correlations (some of which don't exist), But brains evolved to make heuristic distillations, so the animal can act fast. These interact with ALWAYS LIMITED personal memories, traumas, acquired biases, to kind of favor conservatism. Conservative means to attempt to preserve one's coherent network of understanding. Too many of us have extreme cognitive difficulties when we have to adjust our previous belief networks significantly -- throw away what we THOUGHT was true. We also have the problem of unexamined discordant thoughts and beliefs: we AVOID these cognitive dissonances when it seems to threaten our previous ingroups, allegiances, and basic, incompletely examined beliefs. Beliefs are merely repeated thoughts through which we form patterns . It IS true that our amygdalae route all novel inputs FIRST into threat, for the reasons i tried to explain We are homicidal apes, and cutting off the threat completely resonates with physical homicide. We're stuck with that default, from loooong selection. It takes experienceS to learn to keep cool in trying circumstance, such as when we're sure we're going to die. Too many equate disagreement with existential threat, and so preempt, escalate. Man, that's human history . . . Hassan is a comedian, so i don't trust that his answers, like Schroedinger's cat, are not facetious. Earth does fall into sun, but momentum. That's why we are here 4 bills later. Human and other circadian cycling ARE skewed toward lunar light periodic cycling for very good reason. Another time on that, as the evidence is overwhelming. Did not even notice it was Hassan when choosing to click, BUT the more AI absorbs, the MORE prone it is to give errors in response to dynamical system equation/assessment/prediction. Prediction itself is an epiphenomenon of association. Since we are selected by and for survival, "fitness" merely means a limited adaptation, fitting a limited niche. Brains are really like hyphae, moving toward molecular, and other sensory input, which as you know , are limited. Mice, wolves, us, hear different things, plants, bees, birds, mammals see among different EM wavelengths. We cannot tell, for example, when we are being toxically irradiated, because concentrated radiation didn't occur in nature beyond what reaches is near earth surface. Just to keep up with conversation MR is tracing the 120 degree polarity of H2O. All the DTI imaging has to do with the fact that H2O moves in constraints of the cell, axon, blood vessel, is free to move in a direction, unable to move in another. (did i succeed in explaining Anisotropy?) It is simple, but a computer needs to sum all the movement within an examined "pixel" really a 3 dimensional Voxel. Imaging has more parameters, but sometimes injected enhancement is required. I expected Neil to go into why AI, the more complicated they try to make the algorithm, , falls into error, but another difference from organic brain heuristic is that we are exquisitely aware of existential danger. Intelligence and the connectivity of brains, reaching into relevant memory, is shaped, adapted to that. Infants die easily, children, who are mastering physical motion can evade. We predict trajectories. We entrain to other, exterior motions, sensory variance, Brains are efficient because astroglia "eat" unused or little-used synaptic connections, and active ones are fed. Any AI that could actually (!) learn would HAVE TO be able to prune unused synapses, and quickly grow APPROPRIATE new oned. This is PHYSICAL, and any printed however "nano" would FAST become both physically unwieldy, and /OR have to exponentially increase in power and networking. You have to equip AI with mortality to even approach utility. This all takes too much to 'splain, & my profs ALWAYS complained that i have to write more accessibly when presenting. So, buh-bye