Too Many Languages; Too Much Code; Too Widely Connected

The Cambrian explosion of widely used programming languages, D, Python, Scala, Go, Swift, R, Lua, and so forth, is prima facie evidence that computers must start to write code themselves; People alone can't handle the complexity. One approach to self programming is automated inference based on a logical language (e.g. Cyc from Cycorp). Others are problem decomposition, abstraction and chunking (e.g. Soar) and genetic programming. Finally, a very new, one is the "Neural Turing Machine". Imagine the power of combining these approaches.

• Wired article on the obscure by heavily downloaded D language
• Cycorp, makers of Cyc, a sophisticated inference and KB system
• The Soar cognitive architecture
• ArXiv link to Neural Turing Machine paper (look for more posts about this to come)
• The Lua language, used for the Torch7 NN package