"HSOM" (license is FLOSS) has simple Python artificial neural networks/maps which could run bots to do simple conversations (such as "ChatGPT 4.0" or "Claude-3 Opus",) but not close to complex enough to house human consciousness: https://github.com/CarsonScott/HSOM
"apxr_run" (https://github.com/Rober-t/apxr_run/, license is FLOSS) is almost complex enough to house human consciousness; "apxr_run" has various FLOSS neural network activation functions (absolute, average, standard deviation, sqrt, sin, tanh, log, sigmoid, cos), plus sensor functions (vector difference, quadratic, multiquadric, saturation [+D-zone], gaussian, cartesian/planar/polar distances): https://github.com/Rober-t/apxr_run/blob/master/src/lib/functions.erl Various FLOSS neuroplastic functions (self-modulation, Hebbian function, Oja's function): https://github.com/Rober-t/apxr_run/blob/master/src/lib/plasticity.erl Various FLOSS neural network input aggregator functions (dot products, product of differences, mult products): https://github.com/Rober-t/apxr_run/blob/master/src/agent_mgr/signal_aggregator.erl Various simulated-annealing functions for artificial neural networks (dynamic [+ random], active [+ random], current [+ random], all [+ random]): https://github.com/Rober-t/apxr_run/blob/master/src/lib/tuning_selection.erl Choices to evolve connections through Darwinian or Lamarkian formulas: https://github.com/Rober-t/apxr_run/blob/master/src/agent_mgr/neuron.erl But "apxr_run" can not simulate epigemonics of neurons, can not simulate qualia, and can not simulate neurotransmission chemicals.
This is a rough draft; review this page after a few days to get specifics of how to do this.
Destructive (unreversible) upload of human's consciousness
Destructive (unreversible) upload of human's consciousness
Destructive (unreversible) upload of human's consciousness
The most simple route to this is;
to have small robots (or other autonomous tools) decompose your CNS,
as those tools upload all of the human’s connectome (the layout of all of the human’s neurons,
plus the epigenomic (https://www.nature.com/articles/s41586-023-06823-w
https://epigeneticsandchromatin.biomedcentral.com/articles/10.1186/s13072-023-00522-6) datas of those neurons,
plus the weights of all axons/synapses,)
to an artificial CNS.
If Integration Theory of Consciousness (https://bmcneurosci.biomedcentral.com/articles/10.1186/1471-2202-5-42) holds truth,
such artificial CNSs would serve as houses for human’s qualia/consciousness.
Purposes of this;
lots of humans have wanted to do this (https://www.firstpost.com/world/scientists-forecast-successful-digitisation-of-human-consciousness-by-end-of-2023-12437542.html,)
plus this would solve lots of problems (the world would not be so overpopulated once enough of us do this.)
Would not require to scan all individual atoms of your CNS;
just one sample of your DNA — plus per-neuron epigenomic (https://www.nature.com/articles/s41586-023-06823-w https://epigeneticsandchromatin.biomedcentral.com/articles/10.1186/s13072-023-00522-6) deltas — would compress to small sizes.
To simulate human’s CNS,
the artificial CNS would run parellized/vectorized artificial CNS calculus,
which would use inputs from virtual worlds,
plus pass outputs to personalized bots which inhabit those virtual worlds.
To run this fast, use instructions to parallelize/vectorize (
Howto: run devices (phones, laptops, desktops) more fast, lag less
To reduce this: Look for new versions of programs that have more optimizations; Turn off features (such as shadows or animations) that do not have uses; Replace old hardware parts with ones that use new processes -- such as smaller transisters (extra cores + higher gigaherts/clocks) or hardware acceleraters (suchas matrix multipliers);
) or use functions such as TensorFlow's "MapReduce":
https://www.tensorflow.org/federated/api_docs/python/tff/backends/mapreduce
"HSOM" (license is FLOSS) has simple Python artificial neural networks/maps which could run bots to do simple conversations (such as "ChatGPT 4.0" or "Claude-3 Opus",) but not close to complex enough to house human consciousness: https://github.com/CarsonScott/HSOM
"apxr_run" (https://github.com/Rober-t/apxr_run/, license is FLOSS) is almost complex enough to house human consciousness;
"apxr_run" has various FLOSS neural network activation functions (absolute, average, standard deviation, sqrt, sin, tanh, log, sigmoid, cos), plus sensor functions (vector difference, quadratic, multiquadric, saturation [+D-zone], gaussian, cartesian/planar/polar distances): https://github.com/Rober-t/apxr_run/blob/master/src/lib/functions.erl
Various FLOSS neuroplastic functions (self-modulation, Hebbian function, Oja's function): https://github.com/Rober-t/apxr_run/blob/master/src/lib/plasticity.erl
Various FLOSS neural network input aggregator functions (dot products, product of differences, mult products): https://github.com/Rober-t/apxr_run/blob/master/src/agent_mgr/signal_aggregator.erl
Various simulated-annealing functions for artificial neural networks (dynamic [+ random], active [+ random], current [+ random], all [+ random]): https://github.com/Rober-t/apxr_run/blob/master/src/lib/tuning_selection.erl
Choices to evolve connections through Darwinian or Lamarkian formulas: https://github.com/Rober-t/apxr_run/blob/master/src/agent_mgr/neuron.erl
But "apxr_run" can not simulate epigemonics of neurons, can not simulate qualia, and can not simulate neurotransmission chemicals.
This is a rough draft; review this page after a few days to get specifics of how to do this.
Previous of this series:
Want this physical form gone so won’t be forced to have E with everyone else from now on; am jealous of robots
Want this meatbag gone once and for all. The problem is just, how to do so with small funds? If you had a million dollars, here is how to transplant your CNS to robots: Lookup maps of human CNS, produce a robot to replace all of your PNS (biological muscles and sensors) with mechanical servos/motors/actuators and sensors,
Albatross performs lots of neural processes per neural volume versus humans, howto base artificial neural networks off of albatross
With (or without) attributions, all posts allow all (re)uses. Simple artifical neural networks: (FLOSS/unlicensed) https://github.com/topics/artificial-neural-network https://learn.microsoft.com/en-us/archive/msdn-magazine/2019/april/artificially-intelligent-how-do-neural-networks-learn