BETA
Formal net
Language shapes our perception of the world.
Includes only formulated ideas, i.e. Questions, Hypotheses, Predictions, and Observations
Observation
Language shapes our perception of the world.
Boroditsky has conducted a number of studies that have shown how the language we speak can influence our perception of time, space, and other aspects of our environment. For example, speakers of languages that use different words for different types of snow (e.g. "wet snow" versus "dry snow") are better at discriminating between different types of snow than speakers of languages that do not make this distinction.
p/brain
Generalizes to
High-level cognitive functions are linguistical in our brains.
High-level concepts and relationships between them exist linguistically in our brains, and cognitive functions based on these concepts and relationships are also encoded in sentences-like linguistic memories. Our brains can a) store models of the world in the sentences like linguistic memory. E.g. "Deers come to this spot when there is a drought." and b) Construct new knowledge/predictions by constructing new sentences following syntax rules E.g. "there is a drought now, if we go to this spot we might find deers." High-level human cognitive functions are the enterprise of our braining employing these two faculties. We don't have dedicated circuitries for each model expressed in linguistic memory, we just need the basic circuitries for language processing. Note that this hypothesis is different from linguistic determinism.
p/brain
Infers
To reach human-level intelligence, AI needs to be able to model the world in language rather than numeric ...(12 more characters.)
This is how humans reached this level of intelligence. In some sense, language and its syntax provides the programming language for brains and reduced the need for specialized neural circuitries. To reach the same level of intelligence without a vastly larger number of neural circuitries in artificial neuron networks, they need to be able to do the same thing. .
p/investing AI
Infers
LLM / Foundation models can provide the structural foundation for AGI as language provides for human ...(14 more characters.)
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27.3%
AGI
Predicts
Advances in AI R&D will bring another tech revolution same scale as the internet.
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
Business & Industrial AI p/Investing
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Predicts
LLM will be instrumental in achieving at least one human-level AI task beyond NLP in 3 years
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
p/investing
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Infers
Specialized neuro networks for syntax could be instrumental in AI
As widely believed, human has genetically encoded ability to learn and use syntax. This might greatly improve AI's linguistic faculties.
p/investing
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