I read through that collection. While that covers a huge amount of information, I have one basic question: what does that have to do with HTM/TBT?
HTM/TBT invented a way to encode temporal memory (claimed to be biologically realistic, keyed on a neuron’s “predictive state”). TBT’s TM algorithm may not be the ultimate solution on the road to AGI, but it seems to be the 1st serious (scientifically rigorous) effort of modeling the brain at the logic gate/neural circuit level.
Using the analogy of a modern digital computer (the prevailing von Neumann architecture) … if we humans ever build an AGI computer (which obviously will NOT be following the von Neumann paradigm):
A virtual reality system (or self driving system) can not be built withouth the hierarchy of layered composition: vacuum tube vs transistors, integrated, logic gates (AND,OR,XOR), logic circuits, binary operations, encoding the whole world into binary codes, architecture basic (von Neumann style & others) - separating CPU vs storage, mix storage of instructions vs data, architecture advanced (volatile memory vs non-volatile, caching at each level), Operating system, binary programming/assembly language programming/higher level programming…Database, networking, computer graphics…
AGI field (if it qualifies as a field, composed of passtionate enthusiasts and serious reserachers/pioneers) lacks serious divide-n-conquer hierarchy. Short term memory at the logic gate/circuit level, have received inadequately small amount serious investigations and scientific efforts.
There has been great advances & discoveries at the molecular level (in the field of neuroscience), probably at the cell level (short term synaptic plasticity has been well studied), at the overall system/whole brain level (Dementia related research abounds).
In between those levels, things become intellectually murky. I have done MANY YEARS’ worth of reading in this area, but I’ll stop babbling about it to avoid turning a fun casual chat into a boring monologue that nobody reads through