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| title | chunk | source | category | tags | date_saved | instance |
|---|---|---|---|---|---|---|
| How to Create a Mind | 2/3 | https://en.wikipedia.org/wiki/How_to_Create_a_Mind | reference | science, encyclopedia | 2026-05-05T08:50:27.810593+00:00 | kb-cron |
Kurzweil next writes about creating a digital brain inspired by the biological brain he has been describing. One existing effort he points to is Henry Markram's Blue Brain Project, which is attempting to create a full brain simulation by 2023. Kurzweil says the full molecular modeling they are attempting will be too slow, and that they will have to swap in simplified models to speed up initial self-organization. Kurzweil believes these large scale simulations are valuable, but says a more explicit "functional algorithmic model" will be required to achieve human levels of intelligence. Kurzweil is unimpressed with neural networks and their potential while he's very bullish on vector quantization, hidden Markov models and genetic algorithms since he used all three successfully in his speech recognition work. Kurzweil equates pattern recognizers in the neocortex with statements in the LISP programming language, which is also hierarchical. He also says his approach is similar to Jeff Hawkins' hierarchical temporal memory, although he feels the hierarchical hidden Markov models have an advantage in pattern detection. Kurzweil touches on some modern applications of advanced AI including Google's self-driving cars, IBM's Watson which beat the best human players at the game Jeopardy!, the Siri personal assistant in the Apple iPhone or its competitor Google Voice Search. He contrasts the hand-coded knowledge of the Douglas Lenat's Cyc project with the automated learning of systems like Google Translate and suggests the best approach is to use a combination of both, which is how IBM's Watson was so effective. Kurzweil says that John Searle's has leveled his "Chinese Room" objection at Watson, arguing that Watson only manipulates symbols without meaning. Kurzweil thinks the human brain is "just" doing hierarchical statistical analysis as well. In a section entitled A Strategy for Creating a Mind Kurzweil summarizes how he would put together a digital mind. He would start with a pattern recognizer and arrange for a hierarchy to self-organize using a hierarchical hidden Markov model. All parameters of the system would be optimized using genetic algorithms. He would add in a "critical thinking module" to scan existing patterns in the background for incompatibilities, to avoid holding inconsistent ideas. Kurzweil says the brain should have access to "open questions in every discipline" and have the ability to "master vast databases", something traditional computers are good at. He feels the final digital brain would be "as capable as biological ones of effecting changes in the world".
=== Philosophy === A digital brain with human-level intelligence raises many philosophical questions, the first of which is whether it is conscious. Kurzweil feels that consciousness is "an emergent property of a complex physical system", such that a computer emulating a brain would have the same emergent consciousness as the real brain. This is in contrast to people like John Searle, Stuart Hameroff and Roger Penrose who believe there is something special about the physical brain that a computer version could not duplicate. Another issue is that of free will, the degree to which people are responsible for their own choices. Free will relates to determinism, if everything is strictly determined by prior state, then some would say that no one can have free will. Kurzweil holds a pragmatic belief in free will because he feels society needs it to function. He also suggests that quantum mechanics may provide "a continual source of uncertainty at the most basic level of reality" such that determinism does not exist.
Finally Kurzweil addresses identity with futuristic scenarios involving cloning a nonbiological version of someone, or gradually turning that same person into a nonbiological entity one surgery at a time. In the first case it is tempting to say the clone is not the original person, because the original person still exists. Kurzweil instead concludes both versions are equally the same person. He explains that an advantage of nonbiological systems is "the ability to be copied, backed up, and re-created" and this is just something people will have to get used to. Kurzweil believes identity "is preserved through continuity of the pattern of information that makes us" and that humans are not bound to a specific "substrate" like biology.
=== Law of accelerating returns === The law of accelerating returns is the basis for all of these speculations about creating a digital brain. It explains why computational capacity will continue to increase unabated even after Moore's Law expires, which Kurzweil predicts will happen around 2020. Integrated circuits, the current method of creating computer chips, will fade from the limelight, while some new more advanced technology will pick up the slack. It is this new technology that will get us to the massive levels of computation needed to create an artificial brain. As exponential progress continues into and beyond the Singularity, Kurzweil says "we will merge with the intelligent technology we are creating". From there intelligence will expand outward rapidly. Kurzweil even wonders whether the speed of light is really a firm limit to civilization's ability to colonize the universe.
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