syn·site

sin.sīt
noun, verb

...IS A PARASITE?

...IS A PARASITE?

SYN (along with, at the same time | from Greek SYN, with | ~SYNTHETIC) + SITE (N: point of event, occupied space, internet address; V: to place in position | from Latin SITUS, location, idleness, forgetfulness | ~WEBSITE ¬cite ¬sight), cf. SITE/NON-SITE (from Robert Smithson, A PROVISIONAL THEORY OF NONSITES, 1968)

All rewritings, whatever their intention, reflect a certain ideology and a poetics … the study of the manipulation processes of literature as exemplified by translation can help us towards a greater awareness of the world in which we live.

All rewritings, whatever their intention, reflect a certain ideology and a poetics … the study of the manipulation processes of literature as exemplified by translation can help us towards a greater awareness of the world in which we live.

All rewritings, whatever their intention, reflect a certain ideology and a poetics … the study of the manipulation processes of literature as exemplified by translation can help us towards a greater awareness of the world in which we live.

Gardening techniques

Learning and memory are by default automatic processes; their efficacy is proportional to the relevance that the thing to be learned has to your life (frequency, neurons firing together, synaptic pruning, interconnections, etc.). You could say that this relevance acts as filter for incoming information.

There are reasons why you might want to sneak information past this filter ("artificial learning"):

  1. To learn abstract knowledge that is far removed from daily life (e.g. math). This is done using analogies, mnemonics, examples, anthropomorphism, etc.

  2. To interfere with the process of "natural learning" with the goal of improving learning mechanisms, for example when learning a skill like playing the piano. This is done using deliberate practice, analysis, etc.

See these methods as gardening techniques. We either let the garden of the mind grow naturally or we sculpt it deliberately.

Gardening techniques

Learning and memory are by default automatic processes; their efficacy is proportional to the relevance that the thing to be learned has to your life (frequency, neurons firing together, synaptic pruning, interconnections, etc.). You could say that this relevance acts as filter for incoming information.

There are reasons why you might want to sneak information past this filter ("artificial learning"):

  1. To learn abstract knowledge that is far removed from daily life (e.g. math). This is done using analogies, mnemonics, examples, anthropomorphism, etc.

  2. To interfere with the process of "natural learning" with the goal of improving learning mechanisms, for example when learning a skill like playing the piano. This is done using deliberate practice, analysis, etc.

See these methods as gardening techniques. We either let the garden of the mind grow naturally or we sculpt it deliberately.

Gardening techniques

Learning and memory are by default automatic processes; their efficacy is proportional to the relevance that the thing to be learned has to your life (frequency, neurons firing together, synaptic pruning, interconnections, etc.). You could say that this relevance acts as filter for incoming information.

There are reasons why you might want to sneak information past this filter ("artificial learning"):

  1. To learn abstract knowledge that is far removed from daily life (e.g. math). This is done using analogies, mnemonics, examples, anthropomorphism, etc.

  2. To interfere with the process of "natural learning" with the goal of improving learning mechanisms, for example when learning a skill like playing the piano. This is done using deliberate practice, analysis, etc.

See these methods as gardening techniques. We either let the garden of the mind grow naturally or we sculpt it deliberately.

It’s not about the data or even access to the data. It’s about getting information from the truckloads of data … Developers, please help! We’re drowning (not waving) in a sea of data—with data, data everywhere, but not a drop of information.

It’s not about the data or even access to the data. It’s about getting information from the truckloads of data … Developers, please help! We’re drowning (not waving) in a sea of data—with data, data everywhere, but not a drop of information.

It’s not about the data or even access to the data. It’s about getting information from the truckloads of data … Developers, please help! We’re drowning (not waving) in a sea of data—with data, data everywhere, but not a drop of information.

CONFUSING YOURSELF IS A WAY TO STAY HONEST

CONFUSING YOURSELF IS A WAY TO STAY HONEST

CONFUSING YOURSELF IS A WAY TO STAY HONEST

Seeing is superseded by calculating probabilities. Vision loses importance and is replaced by filtering, decrypting, and pattern recognition.

Seeing is superseded by calculating probabilities. Vision loses importance and is replaced by filtering, decrypting, and pattern recognition.

Seeing is superseded by calculating probabilities. Vision loses importance and is replaced by filtering, decrypting, and pattern recognition.