Potentialities+2


 * Looking at all these models or machines, "methods" may in fact be seen as less important than the delivery of input, or even __//how//__ input is delivered:**


 * Masses of input are more important than direct instruction. (Are we back to Krashen??)


 * Authentic content is more important for indirect learning than prepared texts with narrow foci.


 * Human readers can readily disambiguate terms through local context, using their hundreds of billions of parallel computational elements (Landauer & Dumais, p. 32), perhaps by adding layers of nodes; hence, concordancers should be important tools in language input.


 * Since humans are also exposed to spoken language as well as print, the newer forms of oral Web interaction, such as VoIP should become increasingly important for communication beyond classmates and teacher.


 * Since in language, learners can produce the same events that they perceive--and receive feedback on their approximations (remembering Stevick's Levertov machine)--opportunities for communicative production are very important to expanding the knowledge base and neural networks.


 * Some degree of autonomy in the selection of media and learning goals appears to be useful both for motivation and in making inferences about content and linguistic structures.