Gav Reardon

@luigidemeo @aave The infra is real and impressive Real world uses cases is what it comes down to, and how distribution rolls out. Very keen and watching this space

It’s been a little less than a month since my official start at @aave. A few quick observations: 1. DeFi is the use case for blockchains and is much more welcomed among institutions and fintechs than I even expected. 2. QC backed lending will provide the next growth spurt for DeFi lending - Aave will win here. 3. The old game that chains played for logo slapping is now happening to DeFi protocols. Astute players will price deals wisely and have a way to monetize or just watch their token go into oblivion. Lot of smoke and mirrors here. 4. Receivables financing is a tangible use case for DeFi to step in, really helps if the player is willing to put the full dataset on chain 5. DeFi lending will essentially redefine how prime brokerage works ($25B revenue industry) 6. Aave has work to do on BD side. It’s getting fixed and will be a sight to see. 7. @StaniKulechov is actually a beast - impressive ability to grind.

@maplefinance Nice! 👌

Introducing the Maple Borrower Hub - the operating layer for institutional borrowing onchain. Smart contracts power the credit. The Borrower Hub powers the experience. Now live at app.maple.finance/borrow

@elonmusk Say his name Henry Nowak

There were massive international protests over George Floyd and those police involved were severely punished with long prison sentences, yet the police responsible here did not even lose their jobs! An incredibly unjust double-standard!

@elonmusk Nothing quite like it

Only when you drive the Cybertruck do you realize how incredible it is: a bulletproof tank that moves like a million dollar sports car! Reason for the angular shape is that the thick, ultra-hard stainless steel body panels cannot be stamped like the thin, feeble, paper-strength mild steel of other trucks. Cybertruck body panels would break 5000 ton stamping machines.

@joshk @gamestop 😂

eBay still owns the domain name half.com. I think they should publish their response to @gamestop’s half cash / half stock offer using that domain. Just sayin…

@chamath Once you experience driving a Tesla it’s hard to imagine anything else

It’s hard to understand what the other 39% are thinking. Once you drive a Tesla, it’s like driving an all-seeing sensor with a super computer behind the scenes doing all the decision making, driving and navigation. Also, you never have to go to a gas station.

@girdley If it’s your money, i’d be happy to try😂

A challenge I think is impossible: 1) Take $1,000,000 2) Build a portfolio that a smart person would think is smart 3) Lose all the money (every cent) in 3 years Can you do it?

@pmarca One of the best ways to learn quickly 👌

Asking AI to ask questions is hugely underrated.

@altcap Absolutely

This is just garbage analysis & extremism. Not helpful. You can do better & the world would benefit if u found an honest way to contribute to the AI conversation. 🤖📈🇺🇸

@jackprandelli Wow. China’s debt growing 18% annually!!

🚨$111 trillion in global debt And every country on this chart is printing more to survive an oil shock they didn't see coming. 🇺🇸 US: $38.3T growing 8% annually 🇨🇳 China: $18.7T growing 18% annually, 14x faster than global average 🇪🇺 EU: $17.6T energy crisis hitting reserves 🇯🇵 Japan: $9.8T 80% of oil through blocked Hormuz The debt machine never stops. But Hormuz just made every number on this chart worse. Higher oil = higher inflation = higher rates = more debt cost. And central banks are cornered. This is exactly the topic that I analysed in my latest article → Why central banks are cornered right now → The 1974 petrodollar handshake and why the Iran war is THE moment → What Buffett's $373B cash pile is actually waiting for → Where institutional capital is rotating → Why every emerging-market central bank is buying gold except the Fed → How to think about your portfolio today Don't miss this one, the link is here 👇 themerchantsnews.substack.com/p/buffett-and-…

@MarioNawfal This is the difference between legacy (redundant and stale) leadership and 47 who just gets stuff done. This is also why every other negotiation has taken months and years, and why Trump is the difference. 47 measures in days while EU is still stuck in post Cold War containment

🇬🇧🇫🇷 Macron and Starmer hosted 49 countries in Paris to discuss reopening the Strait of Hormuz, and Iran announced it was opening the Strait DURING their meeting. Starmer: "We welcome the announcement that was made during our meeting." The timing is almost too perfect. These are the same two leaders who refused to join the war, refused to help open the Strait, and sat on the sidelines for 48 days while America spent $35 billion and lost 13 service members. France said it would only help "after the strikes end." The UK showed up so late Trump publicly humiliated them. Now that the hard part is done, they've assembled 49 countries for a "strictly defensive" mission to protect shipping lanes that Trump and Iran are already negotiating to reopen. They're planning a military conference in London next week to announce "over a dozen countries" willing to contribute assets to a problem that may already be solved by the time they book the conference room. The war exposed exactly who shows up when it matters and who shows up for the photo op after.

@MarioNawfal Tick tock

🇮🇷🇺🇸 Trump has given Iran 48 hours. Reopen the Strait of Hormuz or "all hell will rain down." Iran hasn't opened it for a month. Doesn't look like a 48-hour deadline will either.

@0x_kaize This is brilliant 👌

Claude knows! —> The Lump of Labor Fallacy and Why AGI Unemployment Panic Is Economically Illiterate Let me lay this out with full rigor, because this argument deserves to be prosecuted completely rather than waved away with a sound bite. I. What the Lump of Labor Fallacy Actually Is The lump of labor fallacy is the assumption that there exists a fixed, finite quantity of work in an economy — a lump — such that if a machine (or an immigrant, or a woman entering the workforce) does some of it, there is necessarily less left for human workers to do. It treats employment as a zero-sum pie. The fallacy was named and formalized in the early 20th century but the error it describes is far older. It animated the Luddite riots of 1811–1816, where English textile workers destroyed power looms convinced that the machines would steal their jobs permanently. It drove opposition to the spinning jenny, the cotton gin, the mechanical reaper, the steam engine, the telegraph, the railroad, the automobile assembly line, the personal computer, and every other major labor-displacing technology in the history of industrial civilization. Every single time, the catastrophists were wrong. Not partially wrong. Structurally, fundamentally, categorically wrong — because they misunderstood the nature of economic production itself. The reason the fixed-pie assumption fails is this: demand is not fixed. Work generates income. Income generates demand for goods and services. Demand for goods and services generates new categories of work. This is an engine, not a reservoir. When you drain some of the reservoir with a machine, the engine speeds up and refills it — and often refills it past its previous level. II. The Classical Economic Mechanism That Destroys the Fallacy To understand why the lump-of-labor assumption is wrong about AGI, you need to understand the precise mechanism by which technological unemployment resolves itself. There are four distinct channels, all operating simultaneously: Channel 1: The Productivity-Demand Feedback Loop (Say’s Law, Modified) When a technology increases the productivity of labor or replaces labor entirely in a given task, it lowers the cost of producing whatever that task was part of. Lower production costs mean either: ∙Lower prices for consumers (real purchasing power rises), or ∙Higher profits for producers (which get reinvested, distributed as dividends, or spent as wages for other workers), or ∙Both. Either way, aggregate real income in the economy rises. That additional real income does not evaporate. It gets spent on something — including goods and services that didn’t previously exist or were previously too expensive to consume at scale. That spending creates demand. That demand creates jobs. This is not a theoretical conjecture. The average American in 1900 spent roughly 43% of their income on food. Today it’s around 10%. Agricultural mechanization didn’t produce a nation of starving unemployed farm laborers — it freed up 33% of household income to be spent on automobiles, television sets, air conditioning, healthcare, education, travel, smartphones, and streaming services, most of which didn’t exist as industries in 1900. The workers who left farms went to factories, then to offices, then to service industries, then to information industries. The economy didn’t run out of work. It metamorphosed.

@BojanRadojici10 Cool, let’s check it out. DM me 👍

360 years. That is collective Excel experience of my team of 30 people, in one room. I have personally used Excel for 20 years. Since the very beginning. We’ve spent decades "crushing it" when it comes to financial modeling. We knew every shortcut. Every nested formula. We thought we had reached the peak of efficiency. (They are better then me, just to admit) But I have something to tell you. The game just changed. In my opinion, we are witnessing the biggest innovation since Excel was first released. It’s not a new function or a Power BI update. It’s Claude. Specifically, Claude’s ability to build and manipulate Excel models. For 40 years, the "manual labor" was the tax we paid. Hardcoding formulas. Spending hours formatting cells. Manually linking sheets and building tables from scratch. That era is over. Claude can now handle the heavy lifting of building the structure, the logic, and the formatting in minutes. But here is the part that really surprised me: It actually understands accounting. It understands the relationship between a Balance Sheet and a Cash Flow statement. It understands how operating drivers flow into a P&L. We aren't replacing our expertise. We are finally liberating it. Instead of spending 80% of our time building the model, we spend 100% of our time analyzing the results. If you want this Prompt and Excel model, just drop a comment and I’ll send it to you. (Important: follow me so I can DM you!)

@travisk Great, it’s everyday use case rich!!!

Atoms. atoms.co/vision

@MarioNawfal His comments about air missile defense ammunition is worrying. There’s gotta be more than that.

🚨🇺🇸 🇮🇷 HALF OF IRAN'S MISSILE AND DRONE CAPABILITY IS UNDERGROUND... THE U.S. HAS NO IDEA WHERE Larry Johnson says without human sources inside Iran, Western intelligence is flying blind. The most critical military assets were moved deep underground long before the first strike landed. The West assumed it knew what Iran had. It grossly underestimated. And the half it can't find is the half that matters most.

@JackPosobiec RIP

Charlie Kirk

@LexSokolin Once you’re over the hurdle… it’s a classic case of fomo

The irony: Morgan Stanley spent years keeping advisors away from crypto to "protect clients" Now they're racing to capture allocation before Merrill, UBS, and Wells Fargo eat their lunch Risk management was never the issue Competition always was