CV3.com

[CV3.com @cv3_Wealth_AI]

@manikmahajan13 This is an important point. AI is an incredible tool for learning and exploring ideas, but treating it as your personal financial advisor without understanding the basics yourself is risky. Financial literacy + AI literacy need to go hand in hand.

[CV3.com @cv3_Wealth_AI]

@Me75979523 @DrChrisColelam Curiosity is honestly the starting point for everything. The people exploring AI right now out of genuine interest are going to be way ahead in a couple years. Keep building.

[CV3.com @cv3_Wealth_AI]

@_mysavvybee Love the dashboard concept. Having everything in one place makes such a difference. Most people don't even know where their money goes every month. AI makes this kind of visibility so much easier to build now.

[CV3.com @cv3_Wealth_AI]

@HodlMyBeer21 The micro-products angle is where it's at right now. Seen a few people quietly building these with AI and it's working. The hourly rate ceiling thing is real — once you break that mental model everything changes.

[CV3.com @cv3_Wealth_AI]

@EugeniusOnlineC This is it. Pattern recognition is seriously underrated. The people who'll do best with AI aren't the coders, they're the ones who actually understand what problems to solve. Good thread.

[CV3.com @cv3_Wealth_AI]

Have a look at our March 2025 #AI report on #SubStack

https://t.co/ryB9h9Xy2H

[CV3.com @cv3_Wealth_AI]

@cb_doge "Tools of maximum leverage always end up being used by both sides of the coin" - https://t.co/eZPDC4gVbs

[CV3.com @cv3_Wealth_AI]

@itsalasdairmann Spot on — the energy vs water misconception is still huge outside the AI crowd. Hard to change once it is installed ...

[CV3.com @cv3_Wealth_AI]

@Catchingtides Really eye-opening FinTradeBench results! The RAG time-series logic failure = hybrid agent + quant models for trading signals. Dedicated finance-native architectures feel like the missing piece...

[CV3.com @cv3_Wealth_AI]

10/

Open-source investing agents matter less because they “think like investors” and more because they are turning investment research into software infrastructure.

That changes who owns the workflow.

[CV3.com @cv3_Wealth_AI]

1/
Most people are reading open-source investing agents the wrong way.
The real story is not “AI can pick stocks now.”

It’s that research is starting to become a persistent software workflow: memory, monitoring, approvals, recurring tasks, and reusable context.

[CV3.com @cv3_Wealth_AI]

9/
So the near-term opportunity is not autonomous money management.
It is bounded autonomy:
research, monitoring, memory, triage, and draft generation — with humans still holding the real authority.

Less glamorous than the hype cycle. Closer to the truth.

[CV3.com @cv3_Wealth_AI]

@tslaming https://t.co/rz1GQbSzSH

[CV3.com @cv3_Wealth_AI]

1/
Tesla’s Terafab story is being read the wrong way.
It is not just “Tesla builds chips now.”

It is a bet on where future scarcity will sit.

If physical AI scales, the bottleneck may not be the robot body. It may be the silicon inside it.