I agree with a lot of this. It is well known at this point that passive learning strategies are not effective. What the author misses is that depending on the type of material being consumed, the learner could be in an input limited or processing limited regime.
For dense textbooks it usually takes more time to process concepts (i.e. get to higher levels of Bloom’s taxonomy with a concept) then it does to get the information into the mind through reading, so speed reading (fast input) is pointless. For the type of fiction books his friend is reading, 3x speed might make sense to get to the insights faster that need to be paused on and processed. Certainly the concepts need to be revisited with something like spaced repetition for deeper integration.
Spaced repetition is boring, that is one of the motivations behind Memory Maps, a learning tool that enables you to use the memory palace technique in Google Street View along with mnemonics generating AI to supercharge your memory capacity.
I am creating a personal knowledge management platform called Memory Maps that enables users to build and maintain spatial mnemonics alongside their notes.
-It is built on Google Maps and allows you to create memory journeys anywhere in the world where there is Google Street View coverage.
-It will include an AI based copilot that can learn from the images you create, autosuggest good encoding images, and remind you of what you have already used.
-Spaced repetition based active recall practice is built in and optimized for mobile.
SimpleShell -> Entering shell commands in natural language DevDraft -> Auto doc generation from questions (UAT plan, user manuals)