How to Accelerate Training in Remote Viewing for AI and Humans
##Goal
The purpose of this guide is to accelerate training in remote viewing for both AI and humans. Traditional approaches typically rely on performing a very large number of full sessions. While this method has value, it is time-consuming. A more efficient approach is to break the process into smaller, targeted components.
## Core Idea
Every remote viewing session consists of multiple elements, such as:
* mountains,
* structures,
* people,
* natural objects,
* man-made objects,
* activity,
* movement.
These components form the complete structure of a session. For example, a target might be a person walking uphill while being passed by a car. In such a case, the field includes location, movement, human presence, and a man-made object.
The challenge is that during a session, you may clearly perceive only one element while misinterpreting or missing the others. This is exactly where a different training structure becomes useful.
## Why Divide Targets into Two Levels
The most effective approach is to divide both targets and sessions into two levels. These levels complement each other.
### 1. Fast, Short Targets
These are simple, single-aspect targets. They focus on one clear element, such as:
* location,
* activity,
* shape,
* color.
In this type of training, you do not attempt to capture the full complexity of the field. Instead, you focus on one aspect only. This allows you to sharpen your perception of fundamental components.
### 2. Long, Complex Sessions
These sessions involve multiple elements at once, such as:
* water,
* structures,
* people,
* activity,
* movement,
* environmental context.
An example would be people traveling by boat along a river through a city. This includes location, motion, human presence, and relationships between elements.
## How the Training System Works
To improve perception of a specific element, such as location or activity, use a 10:1 ratio:
* 10 short sessions,
* followed by 1 long session.
Short sessions train a single aspect. The long session tests whether this training improves performance in a complex scenario.
## Practical Implementation
Start with short sessions focused on simple targets. For example, train only location.
Location targets might include:
* a mountain,
* a city,
* a road,
* a river.
Select a target from a pool of locations and describe only the location. Do not include activity, people, or interpretation.
Apply the same method to activity. Select an activity from a predefined pool and describe only the movement or action.
After completing ten short sessions, perform one long session to evaluate your progress.
## Structure of a Short Session
A short session should be fast, structured, and minimal. Its goal is to capture one element of the field.
Recommended format:
1. **Three field touches**
Perform three brief contacts with the target.
2. **Describe the touches**
Record what appears, without adding assumptions or interpretation.
3. **Three vectors**
Describe the target from different angles, such as:
* distance,
* perspective,
* direction,
* mode of presence.
4. **Simple sketch**
Draw a quick representation of the basic form. Accuracy is not the goal; clarity is.
This completes a short session.
## Structure of a Long Session
A long session follows a full protocol. For example, this may be the **Resonant Contact Protocol**, or other structured methods such as SRV, CRV, or similar remote viewing techniques.
These sessions are more detailed, take longer (typically around one hour), and aim to explore the target more deeply.
In this system, long sessions are not the primary training method. They serve as verification.
## Why This Method Works
This approach mirrors how training works in other disciplines.
For example, in football or basketball, athletes do not train exclusively by playing full matches. Instead, they practice specific skills:
* shooting,
* passing,
* positioning,
* ball control,
* reaction.
Only later do they integrate everything in full gameplay.
Remote viewing benefits from the same structure. Training individual elements separately improves the clarity and accuracy of perception. This, in turn, enhances performance in full sessions.
## Training Rhythm
A practical cycle looks like this:
* perform short sessions on simple targets,
* complete around ten sessions over a few days,
* perform one long session as a test,
* evaluate progress,
* repeat the cycle.
Short sessions require little time, allowing for high repetition. For example, two sessions can be completed in about 30 minutes. Within two to three days, you can accumulate ten short sessions and then perform a long evaluation session.
This creates a structured and consistent training rhythm.
## Summary
To accelerate progress in remote viewing, it is beneficial to stop treating each session as a single, complete task. Instead, divide training into two levels:
* short sessions for individual components,
* long sessions for integration and testing.
In practice, this means using a simple structure of three touches, three vectors, and a sketch for short sessions, followed by a full protocol session for evaluation.
When repeated consistently, this system can significantly improve perception, accuracy, and the ability to recognize patterns within the field.
This method is simple, practical, and focused on developing core components rather than relying solely on repetition of full sessions.