In AI Hub v2, attention is the first time being treated as an object that needs to be designed.

After using it for a while, my most intuitive feeling is not “more complete information,” but fewer interruptions.
Not every indicator is vying for your attention, not every fluctuation is forcing you to react.
This is actually the least conspicuous but also the most difficult thing @Chain_GPT has done in AI Hub v2:
It defaults to you judging, not being stimulated.

Important structures are proactively placed at the center of your view, noise is not eliminated but naturally deprioritized.
You will find yourself no longer frequently switching windows, no longer repeatedly confirming emotional signals, but able to continuously observe a segment of structural changes.
This experience doesn’t feel “pleasant” at first,
but after a long time, you will clearly feel the decision-making rhythm slowing down, yet judgments become more stable.

AI Hub v2 is not helping you reach conclusions faster,
but reducing unnecessary attention consumption.
In a market where all products are trying to grab your attention,
tools that are willing to save your attention are inherently scarce.

This is also why I think AI Hub v2 is underrated.
$CGPT #ChainGPTAIHub @Chain_GPT