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Hypothesis
The language of thought hypothesis (LOTH)
The brain uses a mental language to represent and organize complex ideas and concepts. This mental language is thought to be distinct from natural languages like English or Spanish, and it is believed to be the medium through which we think and process information.
According to the LOTH, the structure and content of this mental language are shaped by the structure and content of the natural languages that we learn, but it is not identical to any one natural language. Instead, it is thought to be a universal language that is used by all humans to represent and process complex ideas.
Link: https://plato.stanford.edu/entries/language-thought/
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Hypothesis
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.
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Hypothesis
To reach human-level intelligence, AI needs to be able to model the world in language rather than numeric parameters.
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.
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Prediction
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
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Observation
LLM enabled robotics in 2022
In SayCan, we showed how we can connect robot learning pipelines to large language models, bringing a lot of common sense knowledge to robotics.
The hope was that as the LLMs become better (which they seem to be consistently doing), it will have a positive effect on robotics.
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