Complexity Theory on Eigenform Articles

Cryptographic Biorhythms

Mon, 28 Mar 2022 00:00:00 +0800

“Can you de-trend crypto data?” “?” “I don’t mean ‘Are you personally capable of it?’ I mean ‘Is it something that makes philosophical sense to do?’”

De-trending, if you’re not a stats guy, means turning a diagonal line into a more or less horizontal one. Often a particular dataset will have a long term upwards or downwards trajectory, but will oscillate around this. If you’re more interested in the oscillations than the general trend, then the trend will screw with your calculations. To prevent this from happening, you can de-trend the data by differencing: that is to say, you subtract the second-to-last value you’ve got from the last value, and so on, and plot the result. If you’re lucky, this will produce a dataset whose average value is zero. (If you’re unlucky the trend itself will also change over time and so repeated differencing will be necessary to force your curve to lie flat, but you get the general idea.)

A System for Evolving A Generalising Artificial Intelligence from Existing Technologies

Thu, 04 Jun 2020 00:00:00 +0800

28th January 2025: This system is currently under experimental training, and is periodically updated to reflect modifications made during the development process.

In this paper we propose a system by which a self-improving general artificial intelligence could be pushed to evolve from components currently available. Such an AI would be capable of independent learning without results-verification, adapt to its environment, learn new skills without losing old ones, and be able to reason by analogy. It would grow better at learning new skills with each additional skill acquired, opening a pathway for exponential improvement.

Why it is Impossible to Program a General AI Using Conventional Methods

Thu, 04 Jun 2020 00:00:00 +0800

Assume a system that uses instructions (rules or sets of rules) to transform inputs into outputs.

An infinite number of transformations are possible.

No instruction — however comprehensive — can incorporate all possible transformations, purely because some of them are mutually contradictory. The instruction “save input A” is mutually incompatible with the instruction “delete input A”, for example.