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>able to compress data into a _useful_ representation. Note that as a result of this, the quality of the compression is important. Some forms of compression might be very efficient but they also tangle concepts together, resulting in loss of composability

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I wonder if various factors inform how/what compression is used on a memory...

For example, a memory of putting the object back where it belongs/got it from vs the memory of a violent attack is through the lens of emotional (trauma) and thus the memories will be stored differently.

Its interesting in that I have been wanting to post an ASK HN on memory and dreams...

Now with this post, and your comment, I will post that.

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The idea is that the surunding meta-information of a memory is important.

Lenses of senses that colour a memory are many, and individualistic.

i.e.

A person who is a psychopath, has an emotional block on the lens that they would see their actions through (remorse, guilt, empathy, etc) - thus they may not recall or RE-MIND themselves of an action/situation.

A memory that is laid with a sensuous experience, such as sex with someone you love/lust deeply may last a lifetime.

Certain things that one does/says can also lead to a lifetime of regret ; a cringe-worthy action/comment from decades ago can still haunt your thoughts.

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I think the mystique btwn ML and biological memories is a really interesting space, as an ML|AI based system will never achieve the 100th monkey or DNA|biological transfer of information, but an approximation/facsimile based on evolved|updated libraries/files/code which are maintained exclusively by the AI entity will/does exist




Speculating here: if the brain really uses embeddings similar (in concept) to neural network embeddings, the mechanism could explain a lot of the peculiarities of the brain. Embeddings are naturally entangled, so are memories. For example, a specific smell can evoke a previous memory.




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