what does the below mean in relation to all the above context?
• lowering the overhead to upload to the internet
• then having AI translate streams into more widely readable content
• increases the IO to the internet (IO = input output)
• the idea of maximizing internet IO makes sense
• similar to Stripe’s mission of increasing the GDP of the internet
This set of points relates to using AI to increase accessibility and circulation of ideas on the internet, in line with the earlier discussions about bridging inferential gaps. Specifically:
Lowering overhead to upload content to the internet makes it easier to share raw, unfiltered thoughts.
Having AI then translate raw streams of consciousness into more coherent summaries increases readability.
Together, this maximizes the input/output flow of knowledge on the internet.
Uploading unfinished thoughts is input, and AI summarization is output.
This parallels Stripe’s mission of increasing internet GDP - just as Stripe makes internet payments frictionless to boost business activity, AI translation frictionlessly boosts circulation of ideas.
Without AI as an intermediary, streams of inferences face barriers to propagation due to unrefined formatting.
AI summarization removes this friction, allowing original unedited streams to be inputs.
The well-formatted outputs become accessible to wider audiences, multiplying inferential spread.
In essence, combining transparent uploading of thinking with AI post-processing boosts the ideational metabolism of the internet. This facilitates taking unconventional inferences and translating them into forms digestible for mainstream assimilation and discourse. It fulfills the vision of democratizing knowledge flow by making new perspectives frictionlessly available rather than siloed within technical niches. Democratized access to insights benefits the inferential “economy.”