Me and My Markov Blanket

[@TMSmyth]

Thanks for publishing this talk and discussion; it's very informative.

[@mami42g]

This is golden, I'll watch it asap

[@tyfoodsforthought]

I am pretty convinced. Thank you very much for sharing this talk!

[@tubeaphid]

Amazing. Thank you!

[@thomaskaminski7511]

Even more respect for the Independent SAGE.

[@pascalbercker7487]

I've known about Markov blankets only in the context of Bayesian Networks but always thought it was a technical matter limited to that context. I Never realized that it could have such a wide-ranging and far-reaching consequences.

[@valueengines2184]

So what does self evidencing mean?

[@p-j-y-d]

Friston demonstrates a talent for obscuring rather than clarifying with his answers to fairly straightforward questions.

[@uncanalmenor]

Fantastic

[@davidkincade7161]

The “prediction error” is called “stress”- lol “learning” is adjusting so prediction error goes down next time... no stress or some awareness of prediction error means nothing needs to be learned... measuring predictive error? Well in the real world it’s probably mostly subjective and hugely multi-situational.

[@davidkincade7161]

@rwalser learning doesn’t necessarily reduce prediction error... depends what u learn- u are right... BUT one can assume one learns to reduce stress :-) Some may learn short term because they want to confront and create more stress- but that won’t last- AND Id argue they aren’t really learning- rather augmenting current faulty understanding to protect it... I guess “learning” is tricky wording! Basically if the future unfolds as predicted stress is reduced because u can avoid it.... higher scope of awareness does bring on new challenges for sure, but wider picture recontextualizes current uncertainties and stress.

[@snippletrap]

Many parallels with Leibniz's monads.