With this milestone, we have crossed the boundary into the realm of real Artificial General Intelligence, as the system now accumulates Commonsense Knowledge totally unsupervised.

The most famous AI-project that aims at accumulating Commonsense Knowledge is the Cyc-project. The Cyc-project does the accumulation with pure human effort, and the project has been running for more than 35 years already. During that period, an estimated 1.5 million facts (including semantic references) have been entered in the Cyc-system. However, the Cyc project estimates that at least ten times that amount is needed. At the speed of the Cyc project, that would mean another 300 years or so.

To our knowledge, this milestone is a first in the world. There are in fact projects that accumulate Commonsense Knowledge, but none of them is doing that with autonomous AI-systems. Until now, accumulation of Commonsense Knowledge has been named as one of the 'hard problems' in Artificial Intelligence research.

The ASTRID-system, on the other hand, is capable of reading documents and extracting detailed Commonsense Knowledge from any sentence. The system can read at high speeds, and we can run ASTRID-systems in parallel to build one unified 'brain'.

For interested parties and (prospective) investors, the current system is available for demos.

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