ok I'm done lurking.
for the next while I'm posting every AI hack, tool & workflow I actually use — not the "10 ChatGPT prompts" clickbait, the real stuff that saves me hours or makes me money.
no gatekeeping. let's go 🤘
#realai
"The Politics & Legal Foundations of Finance," Lecture 1
Reposting this — dense but worth the watch. Breaking down the core theses by fragment:
1. The three-way link
Institutions → finance → economic development. Finance isn’t just “money moving around” — it’s the mechanism that turns savings into growth. When it breaks, development stalls with it.
2. Two pillars, not one
Banks handle local, small-firm lending (they know the neighborhood). Securities markets handle large, mature firms with public track records. A healthy economy needs both — most developing countries have neither working well.
3. The real puzzle
Basic banking mechanics have existed since 18th-century Scotland. This isn’t hard technology. Yet most of the world still can’t build functioning banking or stock markets. So the bottleneck was never the tech.
4. The actual bottleneck: governance
Two kinds — private (how shareholders control the firms they fund) and public (the state’s legal and political rules of the game). Weak finance = weak governance, not weak resources.
5. Case study: financial repression
Governments forcing banks to lend to the state on favorable terms (via reserve requirements, capital controls) instead of letting banks lend to the best borrower. A textbook example of institutions actively suppressing the finance they claim to want.
6. The turnaround: four liberalizations
Banking, trade, capital flows, and the state stepping back from raiding savings. Chile and Korea did it in the 1970s — everyone copied by the 80s-90s. Result: GDP growth in open economies jumped from ~2% to 5.1% by the 1990s, while closed economies stagnated.
7. Growth that reaches the bottom
Income growth for the poorest quintile tracked average growth almost 1:1. Openness didn’t just grow the pie for elites — inequality can rise (as in China) while poverty still drops sharply. Different metrics, don’t conflate them.
8. Convergence needs both
Open economies converge toward the rich world. Add rule of law on top, and convergence speeds up. Good policy plus good institutions compounds — neither alone gets you there.
Lesson #2 (the actual advice): for the first 1-2 months of any API-based automation, watch your token usage like a hawk.
You’re not just managing a budget — you’re catching bugs the API will happily let you pay for, indefinitely, without ever telling you something’s wrong.
The token-burn lesson nobody tells you about 👇
Quick distinction most people miss:
There’s “Claude the app” (ChatGPT-style, flat subscription).
Then there’s the API — pay per token, and it’s what actually powers automations.
Different beast. Different economics. Here’s how I almost got burned by it.
your CRM and your Telegram channel should be talking to each other by now.
if they're not — that's a job for AI, not for you.
built mine with Claude. full guide + code below 🤘