If we don’t explain science to the public, others will fill the gap with nonsense.

a=(y=i/790,d=mag(k=(y<8?9+sin(y^9)*6:4+cos(y))*cos(i+t/4),e=y/3-13)+cos(e+t*2+i%2*4))=>point((q=y*k/5*(2+sin(d*2+y-t*4))+80)*cos(c=d/4-t/2+i%2*3)+200,q*sin(c)+d*9+60) t=0,draw=$=>{t||createCanvas(w=400,w);background(9).stroke(w,116);for(t+=PI/90,i=1e4;i--;)a()}#つぶやきProcessing

True intelligence is deterministic and learns by eliminating timing contradictions. I argue that this is a threat to the world's ruling elites. My thesis is that a correct intelligence architecture assumes a deterministic world and ignores random signals at the sensory level.

Everything is math Everything is changing shapes and graphs You can analyze it all using calculus, geometry, topology, probability theory, group theory, linear and nonlinear algebra, harmonic analysis, information theory, network theory, classical mechanics, statistical mechanics

The smart people are here

An #LLM does not have intent. It reacts to semantic pressure. Think of it as a gradient, not a mind. Change the structure of your input and the whole output field shifts. #AI #PromptEngineering

#AGI won’t emerge just by #scaling LLMs. That’s not pessimism. It’s a #structural observation.

People tend to see #consciousness in #LLMs because the interface feels so familiar. #Language in, language out. Same structure as us. But structural similarity is not inner life.

Compressed ideas travel fast.

for levin, the distinction between 'living things' and 'machines' isn't a tenably distinction everything is a 'smooth metamorphoses process' where engineered systems are increasingly part of the ' intersecting continua' of life his words: 'we need to get on board with this'

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The first principle is that you must not fool yourself and you are the easiest person to fool. - Richard P. Feynman