Formal net
Modern scientific research since Bacon follows ...
Includes only formulated ideas, i.e. Questions, Hypotheses, Predictions, and Observations
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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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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)
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