Personally, I think the benefits of openness win out in this case too.
That is especially true for the “inductive inference” side of things—which I estimate to be about 80% of the technical problem of machine intelligence. Keeping that secret is just a fantasy. Versions of that are going to be embedded in every library in every mobile computing device on the planet—doing input prediction, compression, and pattern completion. It is core infrastructure. You can’t hide things like that.
Essentially, you will have to learn to live with the possibility of bad guys using machine intelligence to help themselves. You can’t really stop that—so, don’t think that you can—and instead look into affecting what you can change—for example, reducing the opportunities for them to win, limiting the resulting damage, etc.
You gave some disadvantages of openness—I responded with a list of advantages of openness. Why you concluded this was not responsive is not clear.
Conventional wisdom about open source and security is that it helps—e.g. see Bruce Schneier on the topic.
Personally, I think the benefits of openness win out in this case too.
That is especially true for the “inductive inference” side of things—which I estimate to be about 80% of the technical problem of machine intelligence. Keeping that secret is just a fantasy. Versions of that are going to be embedded in every library in every mobile computing device on the planet—doing input prediction, compression, and pattern completion. It is core infrastructure. You can’t hide things like that.
Essentially, you will have to learn to live with the possibility of bad guys using machine intelligence to help themselves. You can’t really stop that—so, don’t think that you can—and instead look into affecting what you can change—for example, reducing the opportunities for them to win, limiting the resulting damage, etc.