Group conversations, online communities, and coffee shop conversations have been great for exchanging ideas, but these forms usually lack organization and structure.

Group discussions, online communities, and coffee shop conversations are traditional ways for participants to exchange ideas. Ideas are usually freely bouncing around between participants. Ideas exchanged in such forms usually require a significant amount of later work (usually by a single individual) to be [organized into narrative structures](https://www.themind.net/observations/AfHZZXnNQmaVukmQ2I7EAw) that be easily consumed.

Collective digitalized mind, i.e. digitalized and connected thoughts/ideas from multiple users by itself, may not automatically achieve collective intelligence (the intelligent capabilities of solving problems collectively). If all thoughts and ideas are given equal weight and importance in the collective mind, it may be too swamped with them and fail to be coherent or useful.

Aggregation of opinions over the thoughts and ideas in a digitalized collective mind to give them different weights and importance might be the way to achieve CI in DCM.

Narrative organization of ideas such as books, lectures, and talks, is excellent for the owner of those ideas to convey them to an audience. But it's not effective in enabling multidirectional exchanges of ideas in which ideas come from and go to multiple participants. We do not write each other books or give each other lectures when we need to exchange ideas. Instead, we have conversations, correspondences, tweets, comments, etc. In them, we forego structure/organization to enable smaller bits of ideas and thoughts to go freely in any direction.

A system can be created to let users record their inquiry thoughts/ideas as observations, hypotheses, and predictions (OH&P). Thanks to the intrinsic structure, the system can digitalize these thoughts/ideas with auto connections and visualization, thus providing an automatic way to organize these thoughts/ideas. We can call this digitalized mind. The digitalized mind makes thoughts/ideas easier to consume, assess and generate new insights.

E.g. visual models of microscopic things. Physical symbols for abstract concepts.

Human has been organizing thoughts/ideas in story-like linear ways since the beginning of human culture. Books, talks, and lectures are all examples of such organizations. It's not the only way we convey ideas, e.g. day to day conversations usually are more or less structure-free and spontaneous. Ideas are bouncing in all directions. In the Internet age, Twitter and other social media provide new ways to perform such conversations multilaterally, but they are not well structured. The mainstream way to communicate larger groups of thoughts/ideas in a structured way remains to be the linear structure as in books, lectures, podcasts, etc. Though they have two main shortcomings 1. [they take non-trivial effort](https://www.themind.net/observations/AfHZZXnNQmaVukmQ2I7EAw), and 2. [they are ineffective in facilitating multidirectional communication.](https://www.themind.net/observations/4fcVuFGoTEa43ez-xhSAsg)

It takes non-trivial effort and determination to organize ideas in a narrative way. Be it books, articles, or lectures, a lot fewer people can afford the energy and time to create them than the people who have ideas (and just publish them without much organization on micro-blogging platforms. ) But this is the most effective way to convey a group of ideas.

Narrative organization of ideas such as books, lectures, and talks, is excellent for the owner of those ideas to convey them to an audience. But it's not effective in enabling multidirectional exchanges of ideas in which ideas come from and go to multiple participants. We do not write each other books or give each other lectures when we need to exchange ideas. Instead, we have conversations, correspondences, tweets, comments, etc. In them, we forego structure/organization to enable smaller bits of ideas and thoughts to go freely in any direction.

We can digitalize the essence of the mind by digitalizing the meaningful bits of thoughts, ideas, and the links between them.

They exist in the form of language.

The mind itself, far from being an independent power, is simply "a bundle of perceptions" without unity or cohesive quality. The self is nothing but a bundle of experiences linked by the relations of causation and resemblance.

**Observation:** An observed empirical fact, indisputable for reasonable people. **Hypothesis:** A conjecture that is generalized from observations (induction), or deducted from other hypotheses (deduction). Collectively, hypotheses constitute our model (or theory) of the world. A hypothesis, often together with other hypotheses, can produce predictions. We use the broadest sense of this word, not limited to untested theories of how something works. It encompasses assumption, theory, putative knowledge, and the narrow sense of hypothesis. **Prediction:** A yet-to-be-made observation or (observational categorical per Quine). It's usually based on one or more hypotheses. The relationships between these categories of thoughts are fixed. In another sentence, there is an algebra in these elements of thoughts. This theory (or "hypothesis" as defined in itself) has [a philosophical basis](https://www.themind.net/hypotheses/M1qolEkbTje29ze62yEfQg): our knowledge of the world consists solely of prediction models. and [a neuroscience one](https://www.themind.net/hypotheses/M4p8C9lOTRu8ipf5zGtEJA) (and [independently](https://www.themind.net/hypotheses/n3Tx6wlrSWOjsXHSYggrFQ).) Out brain's intelligence is solely neurons trained to that predicts inputs working collectively.

During a doctor office visit, Tom enters the waiting room and sits on a chair. Tom's thinking process and decision-making barely come into his consciousness, but the actual process can be organized into observation, hypothesis, and prediction. When he entered the room, he made the observation that something looks like a chair in the room. Then there is the hypothesis that the thing **is** a chair. Finally, he made the prediction that if he sits on it, he will be supported.

All the things we think of as intelligence—from seeing, to touching, to language, to high-level thought—are fundamentally the same: making predictive models of the world and then correcting the model based on prediction errors.

Human perception is a controlled/controlling hallucination process in which the brain 1\. constantly generates hypotheses of the world around and 2\. makes predictions about incoming sensory signals based on these hypotheses 3\. correct hypotheses according to differences between observations \(actual sensory signals and predictions\. \)

Thanks to the intrinsic set of fixed relationships between them, this formalization provides a helpful structure to our inquiry. It enables the learning cycle of observations -> hypotheses -> predictions -> correct with observations. This can be argued for [philosophically](https://www.themind.net/hypotheses/W2wRBi5mSeGueEYevUjMzw) and [neuroscientifically](https://www.themind.net/hypotheses/M4p8C9lOTRu8ipf5zGtEJA).

This affords us a paradigm based on logic which brings clarity and simplicity.

The scientific process being [the observation-hypotheses-prediction](https://www.themind.net/observations/DVaW4GpQQsqfqcidS2Aivw) process.

Although the definition of "hypothesis" is narrower in science - a hypothesis in science usually refers to a theory that explains **how** things work. Propositions such as "It's okay to eat bruised apple" or "Mr. Huckabee is a bad politician." are not regarded as hypotheses.

All (actual and putative) knowledge has the same standards of success—the prediction of observation sentences.

Models can be seen as the math representation of hypotheses

From unconscious learning in brian to individual scientific inquiries to collective scientific inquiries.

When using the mind net, forumlating thoughts into Observations, Hypotheses and Predictions forced me to decompose a thought into smaller, more atomic units. This process by itself sometimes brings new insights.