Cross-state global research and development funds

Recently we were discussing self replicating machines as a way to organize an easily scalable mass production lines in modern world (take a look at it in physics.stackexchange and ai.stackexchange).

There we came to an idea that there are completely no technical troubles with it, the main problem with it is just in appropriate fundings.

As often seen in modern science/research/development, the only problem is with funding. The problems with this scale require some solid funds for a large amount of time. That is not compatible with modern financial world, that is aiming at low term profits in simple stuff. Both states and commercial sectors (venture firms) are not currently able or willing to fund it due to uncertainties.

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Self-replicating machines for easily scalable production

The ability to create self-replicating machines can give some very useful benefits. So what is the problem with creating this type of stuff?

Let’s say we have two pieces of equipment – 3d printers and robotic arms. These items are already available and are easy to create.

It looks like they are enough to create self replicating machines. 3d printers are able to print any details for arms and printers. Robotic arms are able to assemble other arms and printers. Both equipment items are able to create almost any other kind of stuff.

Basically, both arms (i.e. manipulators) and 3d printers consist of servomotors, wires, chips and structural mechanical elements. They all can be easily 3d printed, that’s no doubt I guess.

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Neural networks in models and in reality

I have recently read a modern book on neural systems in biology and found a lot of misconceptions between current models and real systems.

At first, real neurons use both inhibitory (negative, -) and motor (positive, +) actions, that corresponds to both negative and positive neuronal weights (between -1 and 1). But it seems like in lots of models neurons use only motor actions in range (0;1).

Also it looks like real neural systems are predefined by design using genes. For example, all sensory data (audio, visual and somatosensory) use the same pathways – at first to talamus, then to primary cortex areas (like V1 for vision) using the same pattern between standard 6 neuronal layers in cortex. This talamus-cortex path pattern always send (+) data to layer #4, it sends to processing layers 1-3. Layers 1-3 sends (+) data to layer #5 that resends it (+) to layer #6, which in turn is able to send both (+,-) data to layer #4 and back to talamus (regulating feedback).

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Total employment and floating work shifts in macroeconomics

It looks like there are some common major problems in modern economic systems when employing people to work.

At first, some people stay without work in unemployment and suffer from the lack of funds without salary. The second problem is with working people – they always suffer from overworking (5 days and 8 hours shifts, limit of vacation and almost no time to stay with family) and are often quite bored and lack energy to do everything with joy and fun.

So why just not using floating working shifts to solve both problems ? Let’s say we have a 3 working days a week 6 hours shifts for an average workers for example. Thus we are able to both reduce load to the ones who are already working and to hire the ones who suffer without employment.

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