MARKET UPDATE: Alts Ripping, Economy Crushing, Scammers Scamming — What’s Next?
Summary
Avi says his brief descent into the GP meme-coin trenches exposed both his own failed diligence and what he alleges was concealed selling by other holders. He describes a pattern in which someone kept roughly 5% of their holdings in public wallets and another 20% elsewhere, promised not to sell, then unloaded through private wallets and blamed him. His defense is radical transparency: “The chain doesn’t lie.”
Jonah conditionally agrees that publicly pretending to hold while quietly dumping would be scammy, but argues the larger investor lesson is simply to avoid meme coins. He calls the sector “online gambling theater” whose hidden cost is the attention diverted from durable strategies. Avi concedes that finance is full of sharks, but says defending his nine-year reputation made the confrontation worthwhile—temporarily.
Their preferred alternative is positive-sum crypto backed by “good product, good revenues, good team.” Avi bought ZRO after interviewing Brian Pellegrino and shorted ETH to isolate the alpha, while Robinhood’s rollout of perpetuals through Bitstamp exemplified crypto’s integration into mainstream finance. The filter: “Am I looking at a Vlad or am I looking at a Point Farm dingleberry?”
Jonah reads Iran’s apparent weakness and recovering traffic through the Strait of Hormuz as bullish for risk assets, while Avi initially dismisses most macro commentary as “astrology for men.” Throughput fell from more than 20 million barrels per day to below 10 million, then recovered through 11 and 13 million—possibly 14 million—despite oil briefly breaking $100. Jonah argues Iran is already applying maximum pressure; Avi’s pushback is that drones can still hit infrastructure.
They ultimately agree that macro earns its keep when it identifies a five-year regime or bottleneck, not when amateurs trade every central-bank adjective. Their mega trends include AI, copper, biotech, Bitcoin, tokenization, military expansion, chip reshoring, nuclear power and uranium. Jonah’s definition is “things that are obvious in the medium to long term but that get clouded by FUD in the short term.”
Retail investors’ structural advantage is the ability to endure volatility without institutional career risk. A Millennium PM cannot put 15% into copper if a 5% drawdown ends the job, whereas an employed individual with a real five-year thesis might survive a 50% decline and keep buying. The opportunity lies where the thesis looks obvious but professional capital is constrained from expressing it.
AI is simultaneously the largest mega trend and a threat to anyone acting as a human “meat proxy” for model output. Jonah says investors must add judgment, originality and courage because AI gravitates toward the mean; Avi counters that this is “the worst that AI will ever be” and expects value to migrate toward human service, media and emotional connection. Their trade-expression debate spans broad exposure and concentration: XBI, ARCG, Eli Lilly, the Qs, Bitcoin, copper, or simply the largest 10–40 companies rather than the full S&P 500.
Deep dive
1. GP turned a meme-coin dispute into a test of verifiable trust
Avi begins with an unusually candid admission: after nine years as a crypto professional, managing a billion-dollar hedge fund and helping establish the crypto arm of the $70 billion GoldenTree, he ignored his own warnings about meme coins. RuneScape Gold, ticker GP, felt fun and community-driven—until falling prices revealed what he had failed to investigate: its ownership distribution.
His allegation is specific in outline but not fully quantified: certain participants kept roughly 5% of their holdings in public wallets while holding another 20% elsewhere, repeatedly said, “I’m never selling,” then sold through private wallets. Avi says those participants also pushed assets such as Cracker that drained GP liquidity; after he nuked the scam assets and bought GP, they exited GP and accused him of rugging it.
Avi distinguishes ordinary selling from deception. Trading with willing counterparties at the market price is legitimate; secretly dumping concealed inventory while publicly promising to hold is, in his framing, “a scam” and “illegal.” His evidentiary standard is on-chain behavior: inspect who bought, who sold and when, because “the chain doesn’t lie.”
His theatrical framing draws on RuneScape’s Wise Old Man and party hat: he vows to “raid the bank of the scammers” while wearing the hat, insisting that this is a promise rather than merely a rant. He also reinforces his credibility claim by saying he has never taken a paid tweet and recounting that SBF called him after FTX went down; Avi says he saw through the pitch, hung up and never spoke to him again.
Jonah’s pushback is less about resolving the allegations than about the opportunity cost. Meme coins resemble “a snake pit” and “an illegal chicken fight,” with X functioning as reality television rather than durable investment research. Avi replies that protecting his reputation justified the fight, but only briefly: once he had vented, the real lesson was to return attention to positive-sum finance.
2. The investable antidote to the trenches is builders with revenue
Avi’s broader reset is categorical: crypto should refocus on “good product, good revenues, good team.” Zero-sum speculation attracts sharks; projects that lower costs, build usable infrastructure or produce real cash flows can expand the system rather than redistribute money among traders.
His concrete trade was ZRO. After interviewing Brian Pellegrino, Avi went long ZRO and short ETH “to isolate the alpha,” reasoning that ZRO was building something the financial system might actually use. That is the contrast he wants investors to preserve: assess a product’s economic function, not the volume of its social-media army.
Robinhood’s summit supplied another specimen. Vlad devoted substantial attention to crypto and announced perpetuals through Bitstamp—a venue choice Avi found odd, though Jonah recalled buying Bitcoin there in 2012. Avi’s social-media heuristic became: identify where someone sits between “the Vlads of the world,” who build, and the people merely extracting attention.
3. Hormuz produced a real disagreement over what macro can predict
Jonah adopts Javier Blas’s framing of the Strait of Hormuz: Trump may be prevailing so decisively that oil fears reflect Iran’s incentive to escalate, not American weakness. Oil briefly traded above $100 because the market saw a cornered actor; Jonah instead sees Iran’s collapsing trade capacity and blockade pressure as evidence that its remaining leverage is limited.
His bullish datapoint is physical flow. More than 20 million barrels per day moved through Hormuz before the conflict; volume then fell below 10 million, recovered to 11 million and 13 million, and Jonah believed it might already be 14 million. He argues regional defenses are finally protecting commerce—later than he expected, an explicit acknowledgment that “I was wrong.”
Avi challenges the categorical claim that Iran cannot escalate: drones costing roughly $50,000 can still target oil fields. Jonah’s answer is that Iran is already giving escalation “110%,” while larger drones would be needed to attack ships and an increasingly capable maritime armada can protect commerce. The conclusion is hedged, not guaranteed: common sense suggests maritime commerce ultimately wins.
Avi initially calls market-focused macro “astrology for men.” Jonah objects that coherent, long-horizon macro is precisely the exercise of seeing through short-term panic. He contrasts the Iran war with the Fed’s 2022 rate increase amid genuine inflation: the latter was a major regime shift, while he does not view the war as one.
4. Mega trends matter when they outlast the daily signal circus
Jonah’s rehabilitation of macro is practical: it is “things that are obvious in the medium to long term but that get clouded by FUD in the short term.” He cites oil at $27 in 2016, when common sense suggested OPEC would eventually cut, and Stan Druckenmiller’s copper thesis: AI expands, copper is scarce, so own the bottleneck without pretending to model every decimal.
Avi accepts that definition and narrows his criticism to amateurs hanging on every word from Waller. Trying to map one hawkish comment to Bitcoin at $50,000 or one dovish comment to $120,000 means competing against veteran rates desks and machines that read faster and analyze more data. Unless one is actually a rates trader, watching the 10-year daily may merely pass time.
His five-year map is more durable: biotech should advance; data centers will require copper; Bitcoin demand and asset tokenization should grow; competition with China will force military investment and semiconductor reshoring. Nuclear power supplies the full causal chain—improving public attitudes and regulatory progress lead to new facilities, which should raise uranium miners’ earnings.
Jonah turns the framework into an algorithm: if it is not a mega trend, ignore it; if it is, search for “bottlenecks, asymmetries, or temporary mispricings” created by panic. Mega trends persist because the opportunity can be larger than the capital available—or institutionally permitted—to exploit.
5. Retail’s edge is freedom from professional career risk
Avi locates the edge in constraints, not superior information. A Millennium portfolio manager cannot comfortably put 15% of a book into volatile copper when a 5% drawdown could end the job. Earlier Bitcoin was similarly underallocated: even professionals who understood it risked losing their careers if an unconventional position failed before institutional acceptance arrived.
An employed retail investor has incoming cash flow, no comparable career constraint and potentially five years to be right. Jonah’s strongest version is that a 50% drawdown can become an opportunity to buy more—but only when the thesis remains strong. He also points to Leopold: after blowing up, Leopold is back in the market but cannot allocate as much capital to volatile long-term assets. Someone whose entire livelihood depends on trading will rationally protect profits and experience far more emotion.
Avi uses panic as an “alarm clock” for discovering entries. Wars convinced investors that Israeli real estate and the Tel Aviv Stock Exchange were headed toward zero; he instead treated the shock as a temporary interruption in a market he says had outperformed the S&P and offered tax advantages. The best specimen is the freakout inside a continuing trend.
Avi sees fears of $300 oil as a contrarian reason to own risk assets; Jonah links the bullish case to deflation. Avi thinks technology-led deflation could leave the yield curve inverted for years, with short rates above longer maturities. Yet his preferred expression is simpler than a rates trade: own technology through the Qs and own Bitcoin.
6. AI rewards judgment, not human “meat proxies”
Jonah calls technology itself the ultimate mega trend. Humans struggle to comprehend exponential progress: the internet went from a novelty to machines becoming better than most people at many cognitive tasks within roughly 25 years. His framing for Anthropic and OpenAI is that they are riding the invention of thinking machines and the demand for private exposure to them.
Avi calls the occupational warning a “meat proxy”: a person who copies model output into emails, negotiations or decisions without adding thought. Once counterparties recognize the behavior, they can ask the model directly. The winners in investing, business and science will stand on AI’s shoulders, then contribute something the system could not generate alone.
Avi invokes Ben Affleck to argue that AI is a tool for improving scenes or dialogue, but a poor autonomous screenwriter because it gravitates toward the middle of the distribution. The investor’s job is therefore not merely “find mega trend, make no mistakes”; it is to add boldness and differentiated judgment. Jonah supplies the cleaner word: “courage.”
Avi’s qualification is temporal: “This is the worst that AI will ever be.” He expects defensible value in services people prefer receiving from people—waiters, service work, physical connection and, for perhaps the next decade, human media. He points to engaging human communicators, such as Emma Camp’s short Wall Street Journal videos on topics like rent control, as more compelling than unreadable papers or undigested AI output.
7. AI’s cleanest expression may be concentrated winners, not the whole index
Avi’s high-conviction biotechnology expression is blunt: buy XBI, ARCG and Eli Lilly, allocate perhaps 20%, and aim for a fivefold return over five years. Jonah broadens the mechanism beyond drug discovery: AI should remove back-office waste throughout healthcare, improving incumbent providers as well as laboratories.
His example is Valerie Health, a friend’s company that reads faxes, books appointments and automates work otherwise handled by the 16 people sitting in a hospital reception area. Jonah estimates such systems might cut relevant spending by 20%–80%; lower costs then flow into profits. Because AI touches nearly every industry, his instinct is ultimately, “buy the S&P.”
Avi disagrees. He sees an “economy of winner take all,” accelerated by internet distribution, AI and products whose performance improves with more users and data. The S&P 500 and Nasdaq may rise, but their gains are increasingly captured by the largest firms; he would rather own Google, Meta, Apple, sector ETFs and copper than subsidize companies “going the way of the dodo.”
Jonah’s counter is that indices already own the leaders and eventually expel laggards. Still, Avi’s concentration argument changes his mind enough to ask for an easy way to buy an “S&P 40”—roughly the top 10–40 companies rather than all 500. They leave the product research for the next episode, preserving the disagreement rather than pretending it was settled.