The big problem I have with it is that it's very useful as long as you already know what you are looking for. So what's the point?
Yes and no. What you are referring to is the expertise that one must have to know when it's wrong. Sort of like, You may not know about Jow Ga kung fu, but If I gave you a punch combination that doesn't flow, then you can call me out on that based on your current knowledge and expertise.
This is what I would call "Ai configuration knowledge" I believe the correct term is Labled Data We configure Ai to be able to solve problems that we already know the answer to. That way we can tell if the configuration will yield correct resutls.
For me I call it Ai configuration knowlege becaue of this.
Here's how it would apply to Martial Arts.
Labeled data
Goal - Ai training = Teach Ai to match karate form to correct karate output. This means. Does my form match the input that was put into Ai of what my form looks like.
Me Configuring Ai
Goal - Teach humans (and Ai) how to digest martial arts form, movement, and applicatio clarity.
The difference here is that I don't want Ai to just look at the form. I want Ai to understand the form and to apply it's current knowledge of biomechancis so that it can determine if the form that I'm doing is correct for learning the application of the technique. I do not want to know if it's correct to be a copy. I want to know if it's correct for application.
Why it matters? I can load this combination into Ai and tell Ai that it's correct Form. But if I asked my Ai is this correct application or practical use then it needs to be able to figure that out. It will tell you that you or doing correct form. But will it tell you that it's practical.
I used the picture above to highlight the difference. If I tell Ai this is correct form then it will look at my body postion to see if my body position matches the input that was said to be correct.
Here's how my Ai responded.
If you block low with your left hand and then punch with the same hand, it can workābut only in certain situations. Letās break it down by how the body moves, how fighters behave, and what the move is meant to do.
Keep in mind I did not ask in which context this combination is done. I didn't say if it was against a punch or kick. It's gotta figure that out on it's own. While normally I wouldn't do this, I wanted to see if it could figure it out. I only provided the image above as a reference.
Me:
Can you create an image that represents this "Fighting Behavior Context Practical Use Case: Works best in close-range trapping, sticky hand terrain, or low-line feint and follow-up" I'm having a difficult time visualyzing it. Make the picture look realistic and follow the biomechanics of humans. The person that will do the low block should have a green belt.
So the guy on the right is the one doing the low block. I had it alter the color of the belts so I could tell what Ai is visualizing.
Ai:
So this arm placement doesn't make sense to me. There are ways in which , low block and middle punch work with the same hand , but it doesn't look like this, and the block isn't like the one shown in the TKD picture. In the one I know the block is more like a redirect / scoop away. So I want to know what Ai is looking at.. So I asked it to give me a walkthrough.
Ai.
Step-by-Step Breakdown: Left-Hand Low Block ā Left-Hand Punch
Context: Close-range sticky hand terrain, green belt practitioner (left side), realistic biomechanics
1. Engagement Phase
- Both practitioners are in close proximity, hands raised in monitoring contact (sticky hands).
- The green belt has left hand forward, right hand chambered near the ribs.
- Opponent has right hand forward, preparing a low attack.
Me: I don't waste time trying to imagine what this looks like, becasue I need to understand what Ai is seeing. So this is what Ai is seeing
Hereās your image, Marvinārendered with realistic human biomechanics and tuned to your diagnostic terrain. It captures the
engagement phase of the sequence:
- The green belt practitioner stands with left hand forward, right hand chambered, and knees slightly bent
- The opponent is in close proximity with right hand forward, preparing a low-line attack
- Both maintain sticky hand contact, threading centerline control and compressed stance
Me: When it comes to martial arts I already know there is an issue with identifying Right and Left which for us would be a big issue. So asked what type of attack was the opponent doing? And it showed me this.
Ai:
In the image, the opponent is executing a
right-hand low punch aimed at the green beltās
left-side ribs or abdomen. This type of punch is often used in close-range terrain to target the
lower torso, bypassing high guards and exploiting compressed stance openings.
Diagnostic Breakdown of the Attack
- Arm Used: Right hand
- Target Zone: Left-side ribs, floating ribs, or lower abdomen
- Biomechanics:
- The punch is delivered from a slightly bent stance
- The torso leans forward slightly to compress and drive the strike
- The left hand remains chambered, preserving centerline balance
- Tactical Purpose:
- Disrupt the opponentās base or breathing
- Feint low to draw a reaction and open up high-line counters
- Thread into sticky hand trapping if the punch is intercepted
So that's what Ai is showing and here is where your current knowledge becomes important. Does this combination work as Ai described it? Keep in mind of the left and right issue that Ai has specifically in CoPilot. I don't know if Chat GPT has that same issue..
The only way you know for sure if this is posible is if you have experience. If you see something wrong, then you need to correct Ai based on what you know in on what your martial arts system teaches. Ai will then use that information to make better informed Analysis about martial arts.
This is why I say that the problem is that Ai doesn't know how to do martial arts. The one's that some nerd Ai programer will teach will be the popular martial arts like Karate and TKD where there are exmples of people using the actual techniques found in the forms. For the rest of is. If there's no video of people using the techniques that are actually trained then your system won't be included because there is no application reference for Ai. Unless they use the Demo stuff, You would need to continue to do this type of configuration for every combo.
What am I visualizing vs what Ai is analyzing? Is Ai seeing what you are seeing? The only people who are qualified to do this type of configuration are those who know how to use martial arts.
This is the process for a lot of Ai "training" from the user end. Before you ask Ai how to do something, you better make sure you and Ai are on the same page as to "What needs to be done." Some things are easier to get a reliabl eanswer but everything has to configured.
Vs labeled data which basically says, you body should follow this body position from the form.