something kept nagging at me about MemSync's auto Generated user profiles separate from the correction mechanism question everyone including me in earlier posts keeps raising about this feature.
the user profile generation is described as continuously updated built from conversations documents websites social profiles if connected. that's not memory in the sense of remembering what you said last time. that's active identity construction the system is synthesizing a persistent model of who you are across every interaction surface it has access to not just storing isolated facts.
memory as a word makes this sound passive like a notebook. continuous profile generation from multiple connected sources is closer to building a living document about a person that updates itself without explicit review at each update. the difference between storing facts and synthesizing an evolving identity model is bigger than the word memory suggests and the framing throughout the documentation leans entirely on the gentler word.
I'd been thinking about MemSync mainly through the lens of What if it gets a fact wrong same angle as most coverage takes. the bigger thing I'd been missing is that the profile itself is a synthesized output not a collection of stored memories you could point to individually. correcting one wrong memory doesn't necessarily fix a profile that's already been shaped by it especially once the profile generation has run multiple times and incorporated that wrong fact into broader synthesized characterizations.
still watching whether the user Facing profile is ever shown directly to the person it describes or whether it exists purely as backend context other features draw on without the subject ever seeing what's actually been synthesized about them. my starting assumption that memory meant stored facts was wrong about the scope of what's actually being built here.
@OpenGradient $OPG #OPG
Opengradient
Memory or Identity Model? 🤔
the user profile generation is described as continuously updated built from conversations documents websites social profiles if connected. that's not memory in the sense of remembering what you said last time. that's active identity construction the system is synthesizing a persistent model of who you are across every interaction surface it has access to not just storing isolated facts.
memory as a word makes this sound passive like a notebook. continuous profile generation from multiple connected sources is closer to building a living document about a person that updates itself without explicit review at each update. the difference between storing facts and synthesizing an evolving identity model is bigger than the word memory suggests and the framing throughout the documentation leans entirely on the gentler word.
I'd been thinking about MemSync mainly through the lens of What if it gets a fact wrong same angle as most coverage takes. the bigger thing I'd been missing is that the profile itself is a synthesized output not a collection of stored memories you could point to individually. correcting one wrong memory doesn't necessarily fix a profile that's already been shaped by it especially once the profile generation has run multiple times and incorporated that wrong fact into broader synthesized characterizations.
still watching whether the user Facing profile is ever shown directly to the person it describes or whether it exists purely as backend context other features draw on without the subject ever seeing what's actually been synthesized about them. my starting assumption that memory meant stored facts was wrong about the scope of what's actually being built here.
@OpenGradient $OPG #OPG
Opengradient
Memory or Identity Model? 🤔
🔘 Just memory storage
67%
🔘 Identity model building
0%
🔘 Both at once
0%
🔘 Need more transparency
33%
6 votes • Voting closed