Kumijo in Aikido and Jodo

Both Jodo and Aikido have two-person jo kata, called kumijo in Aikido.

For jodo, I found this clip from Jean-Pierre Reniez, acting as uke for Matsumara Sensei:

This is is called the Shinto Muso Ryu school of Jodo:

They don’t kiai so much as kind of emit a low controlled angry scream/yell of several seconds, like a challenged, angry tomcat backed into a corner.  This is a little different from the kiai I’m used to in Aikido, which is briefer and louder.

Here is another one from Kenji Matsui explaining jodo moves “as fixed by the All Japan Kendo Federation in 2003″:

There is a comment in the 2nd Youtube above that “Matsumura and Matsui was both taught from Shimizu and Otofuji sensei”.

From Jodo and bayonet training, we get Aiki-Jo.  O Sensei studied Jo and also learned bayonet techniques (jukendo) studied during the war.  The consensus seems to be that the Aiki Jo techniques are actually designed to fit a WW1 era rifle with a bayonet


and that the Shinden Muso Ryu jodo grip and stance is quite different and would not fit a rifle with a bayonet; and that Saito Sensei was the one to write down and codify Aiki Jo as we know it now, leaving aside variants by Chiba and Nishio Sensei.  Here is a clip of O Sensei defending against wooden rifles::

Here are Saito Kumijo clips showing Kumijo 1 through 10:

About that computer with 150 IQ


I read the short Rand paper on Delphi Method by Olaf Helmer from 1967. Summary of Olaf’s version:

  1. Create a model for a real-world problem, decoupled from the actual problem, but with the same moving parts
  2. Ask experts to interact on the model and then individually opine on the outcome
  3. Go through some iterations of voting, maybe you’ll get one consensus opinion, or maybe two
  4. Weight the votes based on prior demonstrated competence of the individual experts in similar questions

Helmer gives an example of forecasting when a computer would achieve an IQ score of 150. Based on Delphi method, the median expectation in 1967 was 1990, with an upper bound of 2000.  I did some Googling on this topic, and the basic answer is: hasn’t happened yet. There was a Swedish professor who made the claim in 2012:

However not much as been heard in the news from him since then.  He does, however, have some very interesting papers on his website.

It turns out that Chinese at Microsoft are the closest to actually getting that done. Interestingly, in both the Swedish Professor case and Microsoft, they use Amazon Mechanical Turk performance as their benchmark in terms of “beating humans” at the test:

In thinking about measuring artificial intelligence, we must be careful in this regard not to fall into the Watson trap identified by Roger Schank:

although Roger has his critics: