Formal net
Modern scientific research since Bacon follows ...
Includes only formulated ideas, i.e. Questions, Hypotheses, Predictions, and Observations
The scientific process being [the observation-hypotheses-prediction](https://www.themind.net/observations/DVaW4GpQQsqfqcidS2Aivw) process.
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).
76.3%
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.
66.7%
No Content
85.3%
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A system that lets users record their inquiry thoughts/ideas as observations, hypotheses, and predictions (OH&P) can provide a new mode of communication and collaboration between users - they can structurally connect their atomic OH&P directly to other users' OH&P. ([This is challenging](https://www.themind.net/observations/4fcVuFGoTEa43ez-xhSAsg) when thoughts/ideas are organized in the usual narrative structure, such as books, lectures, and talks). Such a system that connects atomic ideas and thoughts between users might achieve a **digitalized collective mind**. Digitalized mind means all ideas/thoughts are digitalized, collective meaning that these ideas/thoughts are contributed by multiple users and digitally connected to each other.
43.6%
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From unconscious learning in brian to individual scientific inquiries to collective scientific inquiries.
87.8%
Because this self-supervised learning process mimics the brain's learning mechanism: make predictions and learn from prediction errors.
50.0%
No Content
27.3%
AGI
Major disruptions in businesses will start to appear around 2024 - i.e. profitable (by free cash flow) and hyper-growth companies relying on large-scale neural networks as their main tech strength.
64.0%
2025-10-26
2024-06-26
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GitHub copilot is promising, but it's not human-level yet. It might be possible for Self-driving to use LLMs as foundations to build models that can predict the social behavior of humans on the street.
98.4%
2025-10-27
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No Content
89.8%
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).
76.3%
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.
66.7%
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)
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