When are simple handmade computer programs more effective than AI?

Since we don’t have AI yet we can only speculate to this answer. Now if you mean ML, that is a very different thing as machine learning is simple feature recognition of some given input data. It can be pretty damn good at what it does, and you can even hook a few different ML data structures together with something like a Monte Carlo algorithm to play things like chess, go, or shogi. This makes it very good at playing those games and we even found that not letting it learn from humans but instead simply by playing itself turns out to produce even better output ( AlphaZero ), but this is still ML. When it can watch humans play a game and learn the rules or read the rules and play the game by itself, we are probably getting near what we would call a special AI. When it can then apply what it learns from one game to another, or to dealing with a human, or how to pick a good stock, and mix everything it learns into applying it with everything else (like a human brain can) then we will have general AI. My own research in the field is using computational biology to create an artificial brain using artificial neurons. Not the simple models used in most ML but fully spiking models where current is applied to soma of each neuron as a form of input which applies current through the synapses to connected neurons if it spikes. In this manner, myself and my colleagues that are doing the same research, are trying to build a computational model of a human brain, not a model of simple neuron connectivity. In this case we would have a human capable brain running in a computer. It should […]

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