AI is a shortcut.
So it’s useful.
But it’s lazy.
So it speeds execution.
But it hides complexity.
So you want to use it.
But definitely not overuse it.
So the user of AI often loves it.
But the reader of AI often hates it.
4/ True gem is the ability to retrieve insights under pressure without a prompt box.
Don't outsource our thinking. Use AI to verify our intuition, not to replace our memory.
Specific knowledge is earned, not downloaded.
1/ AI is an external hard drive, not a neural upgrade.
Most people confuse "accessing information" with "acquiring knowledge."
One is a Google search; the other is a biological rewiring. ⏳
3/ When we use AI for our own industry, we are connecting dots. We have the existing geometry to hold the new points.
When we use it for a completely "new" field, we are just Large Language Models with no RAM.
We process, but we hardly store.
2/ Learning requires hooks.
New data must find existing "anchors" in our mental model to stick. If we have no foundation in a subject, AI-generated research is just digital vapor.
It passes through us without leaving a trace.
48 hours ago @claudeai released the Wealth Management plugin and of course I had to dig in and check it out. I've created a thread on how to use it and what are the inputs and outputs. I'm sharing all the PDFs involved.
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Using Claude cowork giving me a feeling that
an LLM is not a database; it is a compressed cohort of every expert who ever published their craft.
We are now "connected" to the world’s best mentors without a calendar invite.
LLMs connect people to this extend.