Thanks for the note. I didn't think I could write well enough for that comparison, but maybe it's just the first step of AI taking over our brains. I actually spent a good 30 minutes reading the slides and another 30 minutes putting together what I thought was a pretty thoughtful response. 😂

I don't see any support for Bitaxe in their documentation. If you're using your Bitaxe with Braiins or public-pool, it may not be the best option as it looks to only support Ocean and F2Pool right now.

This is an incredible historical find! Looking at these slides from 2011 through the lens of 2026 provides a stark view of how Bitcoin has remained relevant while the legacy system has completely transformed. The vision for payments, while unfinished, is particularly fascinating. Perhaps we'll see more of this as adoption increases and volatility dampens.

This is a critical distinction. Comparing the Monetary Base to M1 or M2 tells a story of institutional leverage vs. actual supply.

As the below charts show, the 'total money supply' (M1/M2) is multiples larger than the actual Monetary Base. This delta represents the magnitude of the credit economy, money that exists as a ledger of bank promises. Returning to a 'Bitcoin as M0' standard threatens the dominance of this credit-tier because it replaces discretionary promises with mathematical settlement.

However, as you mentioned, banks are already finding ways to maintain the credit economy by wrapping Bitcoin into various financial products. The question is whether people will choose the yield of M1 products or will they choose to keep their keys.

Monetary Base

M1

M2

That's a really cool and fun project! My 4 bitaxe gamma miners stick around 5 on average, but I've seen them hit 6.86. Would you say the 3s has a more consistent hash rate?

Glad you're here! Looking forward to hearing more about your perspective and engaging in discussion with you.

I’d add trust and respect to the list. Those have to be earned.

You can use money to get someone to do what you want, but you can’t use it to get them to value your judgment.

Look at Bhutan sneaking in there at .563%.

Thanks for sharing - it’s really interesting to see how things have shifted over the last year.

Indeed! Especially when it works for them. Incentives over intentions, every time.

I like this approach. It ensures that your services hold value over time. If you think (and are paid) in dollars, you constantly have to increase your rate/salary to keep up. But if you are paid in sats, you could actually lower your rate as bitcoin becomes more valuable.

Data privacy is a huge concern with companies and a major hurdle for institutional adoption. Companies cannot risk proprietary or client information becoming part of a public model.

I think that’s a big reason OpenAI maintains significant market share with its enterprise product.

I agree that Apple totally missed the mark on AI development, but this move helps get them back in the game by leveraging their existing products and distribution model.

Apple’s hardware is still the primary way consumers access the mobile web. Just as Google pays Apple for Google Search to be the default in Safari, which helped assert Google’s dominance in Search, licensing Gemini allows Apple to shortcut years of R&D.

Apple licensing Gemini might just be the move they need to turn Siri into the dominant, AI Assistant in the space.

A lot of great points in this article. Why do we as a country put so much emphasis on people reciting the pledge vs knowing the Constitution and the Amendments? The below paragraph really stood out to me as a way to frame the Constitution.

I like to read the Constitution as a three-part document: the Declaration of Independence, the Constitution of 1787, and Martin Luther King’s “I Have a Dream” speech. This establishes the Constitution as the institutional fulfillment of a philosophical statement, and one that is still growing into its promise. Fellow nerds will complain that there are more than three documents… touché! A fuller understanding requires a reading of earlier philosophy (Locke, Montesquieu, Milton, and others); the Federalist Papers; the Articles of Confederation; and the Constitution of the Confederate States (though it was born of grievous sin, it did address a century of constitutional learning, and addressed both federal overreach and a scandalously latitudinarian reading of the Commerce Clause).

Yeah… it was really nice of her but I’m sure she was annoyed by it. Had to get the big bags too otherwise it would all melt too quickly, even though it was in an ice chest.

Really interesting to see how quickly the spread widens during periods of stress and how long it takes to narrow.

The gap between the broader U6 (underemployment) and U3 (headline) measures is a reliable indicator because it signals the inflection points before they hit the news... are companies are preparing to hire or are they cycling toward layoffs?

Right now, the AI narrative acts as a convenient rationale for 'optimization.' While the public sees a technological shift, the reality is often a margin-protection story where existing workers are squeezed. I don't think we're seeing a full technology shock just yet, but the erosion of the labor market is visible in the hours and the roles.

I wonder if this spread would look different if the narrative was focused on skilling up the existing workforce for more meaningful work, rather than primarily signaling the threat of replacement.

This is an interesting shift in the labor market. The more companies adopt AI, the more a person’s soft skills carries a premium.

I don’t see soft skills as a replacement for math skills or technical ability, but there is a growing risk of people using AI to replace rather than supplement technical learning. You can have the most rational, data-driven solution in the world, but if you can’t coordinate with humans to implement (and sell) it, then it’s unlikely to see the light of day.

I know the feeling. My leg was injured right when my freezer stopped working so my wife had to go to the store every day for a few weeks to get bags of ice until we got a new fridge. It was so inconvenient. Looking back, we should have just bought a small countertop ice maker.

Agree that so much of real estate is non-rational and qualitative. People get very emotional when selling or buying a house.

I would also be skeptical of a prediction market if it were to be specific to individual houses. As you mention, comps absolutely matter because they take those hyper-local factors into account. Each house is unique, and the price is ultimately whatever a buyer is willing to pay.

Having a real-time macro signal for a whole city could potentially help people better understand market dynamics, but I’d agree that every house needs to be priced individually.

You’re absolutely right that real estate is hyper local. The market in NYC is very different from the market in Austin.

In this case, I see “more predictable” as real-time data availability on a market level. Having information on how “hot” (or “cool”) the market is would help inform pricing for sellers and offers for buyers. It's effectively moving from delayed snapshots to real-time market sentiment.

That’s a great point. If the prediction market was part of the real estate app there might be more participation, especially among those who frequently listings. But it would be tough to get people to participate in prediction markets if they have to go off a platform where they’re already in the mindset (for example, from Zillow/Realtor/Redfin to Polymarkets).