June Week 3 - 2025

BITCOIN RESET
Bitcoin Just Flipped the Script and Everyone’s Playing Catch-Up

So legendary short-seller Jim Chanos just called Michael Saylor a “salesman” and opened a short on Strategy. Cute move Jim. But while you’re busy shorting Saylor, he’s been busy turning a sleepy software company into a $100B Bitcoin behemoth.

Here’s the thing, people laughed when Saylor said, “I’m gonna sell stock and buy Bitcoin.” Now they’re saying, “Well, it worked too well, so nobody else can do it.” That’s not logic, that’s coping.

Even Charles Hoskinson, the Cardano founder who used to throw shade at BTC maxis, just announced he’s converting part of ADA’s treasury into… you guessed it, Bitcoin. When the altcoin generals start waving the Bitcoin flag, something big is shifting.

And it’s not just crypto bros. It’s public companies, billionaires, even the Trump family, people waking up to the fact that our financial system is a rigged game of musical chairs. The U.S. dollar? On track for its worst decade in 30 years. Treasuries? Getting torched. Stock valuations? Floating on fumes.

Meanwhile, there are only 450 new Bitcoin mined per day. That’s about $50 million worth. BlackRock alone could absorb that without blinking an eye. Add in Strategy, nation-states, ETFs, and suddenly… there’s no more chairs when the music stops.

Bitcoin is not just some moon boy gamble anymore. It’s becoming the foundation of the next monetary system. As Saylor put it, bear markets are over. Winter isn’t coming. If Bitcoin’s not going to zero, it’s going to a million. Pick a side.

Call it hyperbitcoinization or just common sense, but the money revolution isn’t in the future. It’s already happening.

And if you're still wondering whether it’s too late to pay attention… it’s not. It’s just the beginning.

AI RESET
The AI Earthquake That’s Already Shaking the Ground

You might not feel it yet, but the floor is starting to shift and Fast.

Artificial intelligence isn’t coming. It is here. And according to some of the sharpest minds watching it unfold, it’s moving faster than almost anyone expected.

We’re not talking about simple chatbots or AI that recommends your next playlist. We’re talking about artificial general intelligence, systems that can outperform humans in most mental tasks. Researchers are saying we could be just a few years away. Some think we’ve already crossed some key thresholds. And if that’s true, then the economic impact will be massive.

Like, change everything massive.

Jobs? Disrupted. Productivity? Skyrocketing. The way we distribute income and value? Totally up for grabs. If machines can do nearly everything cognitive workers can do, faster, cheaper, and better, then how do we, the humans, stay in the game?

That’s why conversations around universal basic income, economic rethinking, and AI policy are no longer these fringe ideas, they’re starting to hit the mainstream. Because the clock isn’t ticking in years anymore. It’s ticking in months.

Right now, AI’s economic impact is mostly invisible in the data. But behind the curtain, companies are investing billions to get ahead. It’s a global race with massive stakes and no real rulebook to speak of.

So if you’ve been waiting for the “AI moment,” stop. It’s not comin…. it’s already here, and happening in real time.

The biggest question now is: how does society, across every country, culture, and economy, adapt to the tidal wave that’s already in sight?

Truth is… we don’t know.
And between us, I’m not totally sure we’re ready. 😳

ANOTHER AI RESET
Is AI Doomed to Destroy Us… or Just Help Us Chill Out?

Ok on a more positive note from the last article:
Yes AI is scary. It’s fast, it’s powerful, and most of us don’t really understand what it’s doing under the hood. The news tends to focus on the terrifying stuff, mass unemployment, privacy violations, even full blown Skynet scenarios. But when you actually talk to the people building this technology, like Demis Hassabis, CEO of Google DeepMind, a different picture emerges.

At its core, AI today is mostly about predicting the next word. Literally. Large language models (LLMs) are just advanced autocomplete machines. But they’ve gotten really really good at it, so good, that they’re starting to generate new knowledge, solve scientific problems, and even designing better versions of themselves. Yeah, AI is now helping to train other AIs.

DeepMind’s latest leap? Models that can “think” through multiple options before choosing the best one, imaging 100 versions of yourself and picking the smartest answer. or better yet 100 versions of the most brilliant minds in the world and then pick the best ideas. It’s called “inference time training” or “parallel thinking,” and it’s already redefining what’s possible in science and medicine.

Take drug discovery for example. A process that used to take 10 years could now take months, thanks to AI’s ability to identify targets and filter out bad compounds early. This is not some distant dream, this is in motion now.

But with all this power comes serious responsibility. Demis gets it. He believes AI should be your assistant, not your overlord. It should protect your time, your attention, and yes, your privacy. Not interrupt you every five minutes with junk.

The bottom line? There’s still hope. We’re not locked into some dystopian future, not if we build these tools the right way. Because truthfully, the future of AI doesn’t have to be a horror story. It could actually be something way better than that.

It could be the best assistant we’ve ever had, one that helps us dream bigger, work smarter, and live better than we ever imagined.

DISCLAIMER:
This newsletter is strictly educational and is not investment advice or a solicitation to buy or sell any assets or to make any financial decisions or investments. Please be careful and do your own research.