Software Listing of Author : "Bitcointalk.org"
- MerkleWeb
- License: Freeware
- Price: 0.00


Absolute minimalist open spec of whats needed to obsolete and rebuild entire Earth infrastructure, as global peer to peer 320 bit (256 space, 64 time) address quine Turing Machine, military-strength Bitcoin-like security on every bit and NAND calculation, from NAND gates, software NAND logic, recursive paravirtual hooks (run Windows, Mac, and Linux on global cloud through VMWare or other emulators) at paravirtual optimized realtime speed. Runs slowly on existing Internet. Best system would be wireless mesh network of new kind of Turing Complete routers. No system has an address. They're redundant computing power and storage for the 1 global Turing Machine. End to end branch prediction, global rollbacks, snapshots and SVN-like branching whole network, recalculation if 1 bit is found through NAND-level quine Godel-like error checking...
- Publisher: bitcointalk.org
- Date Released: 10-05-2012
- Download Size: 116 KB
- Download
- Platform: Linux, Mac OS X, WinOther
- predictionvoxel
- License: Freeware
- Price: 0.00


A voxel is a point in space with a color, used in some games as replacement for polygons. This new kind of voxel is decentralized at small and large granularity. Each voxel has a list of near voxels sorted by distance and gambles its Ripple-like money that it can predict their next colors. Whichever voxels, and evolved or written code they contain, predict colors of other voxels more accurately and using less computing resources win more money from the other voxels and survive and reproduce in the global Prediction Voxel space. We can navigate this space by painting with the mouse and seeing which colors flow as a response to our changes to those colors. You could, for example, write a simple script into your new voxel which tells it specific ways to navigate the network of voxels and patterns of distances and colors between them to...
- Publisher: bitcointalk.org
- Date Released:
- Download
- Platform: WinOther


