Gerald Wong (@rndome) header
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| Prev @bigbrainvc @Blockchainff @Syndicaterip @DigiFTTech | correlation != causation

Singapore
Joined May 2021
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This is crazy
Our investigators are observing never-seen-before laundering patterns with the stolen funds from the Binance exploit. Thousands of transactions in a short period suggest that the attackers are using automation to obscure the trail of funds. Rather than simply moving funds onward, they repeatedly circulate them among addresses, often sending funds back to addresses involved earlier in the sequence. Read more: chainalysis.com/blog/binance…
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The Binance hacker might have just pulled off one of the smartest moves I’ve seen in crypto. First, Tether froze $1.5 billion in USDT. Then Circle froze another $800 million in USDC. At that point, it looked like the hacker’s money was trapped. But apparently, he had already planned for that. Instead of holding the stolen USDT in a wallet, he allegedly deposited it into Aave and used it as collateral to borrow ETH. Then he walked away. That’s where the story gets crazy. Tether can freeze the USDT sitting in the wallet. But it can’t freeze the ETH he already borrowed. So now Aave is left holding frozen collateral, while the hacker is sitting on liquid ETH. And unless the protocol can recover it somehow, he may not even need to pay the loan back. Two companies froze billions of dollars in seconds. But someone who understood how to use DeFi may have found a way around both of them. Pretty insane when you think about it.
Readers added context they thought people might want to know
The described Aave deposit used only ~60M USDT as collateral to borrow 19,762 WETH before freezes hit the main wallet, not the bulk of funds; Aave states the overcollateralized position is subject to normal liquidation with no material protocol risk. governance.aave.com/t/binance-hot-… x.com/binance/status… drk.vc/news/binance-1…
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Marc called it in April btw
Frontier models become more expensive to serve. Token demand explodes at exponential rates. Solve for the equilibrium.
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My take on this is that this caps the fdv ‘ceiling’ for $PRL as a token. If you hold the token you’re effecitvely long $PRL as a SoV + potential future use cases tied to the token such as verifiable inference, compute marketplace, agent payments, and compute accounting. This is still a net positive because any growth in the entity side of the labs will bring attention to the token itself. So take it as the entity ‘part’ of $PRL is taken out of the equation
Nipping this one in the bud right away. Pearl is a fair launch L1. There is no equity / token split. Pearl Research Labs is an equity business AI lab, completely separate from the token. The only way to acquire Pearl is to mine it, or buy it from a miner. This is no different than the multitude of Bitcoin core contributors that built and raised for projects on top of Bitcoin after launch, for example Lightning network or Blockstream. IMO it makes total sense that there will be things built on top of Pearl. This is very different from the typical equity / token split concerns that emerge when holding a token is meant to represent interest / exposure to a business
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Really enjoyed the @arthur0x lore, and especially his take on the anti-fragility of crypto We should’ve gone to zero as an industry many times in the past but we’re still here today
Interview with @Arthur0x discussing the highs and lows of running a liquid crypto fund, and how he expects the next crypto bull market to play out. 0:00 Bull Market or Bear Market? 3:40 Running 8 Figs to 9 Figs in 2020-21 11:57 Drawing Down 90% in 2022 23:12 Bull Market Playbook 33:15 $ZEC and Bitcoin 41:30 Is $HYPE Overvalued? 48:50 Why $NEAR is this Cycle’s Winner 56:00 “You’re Only as Good as Your Last Trade” 1:01:38 Are Great Traders Born or Made? 1:07:38 Identifying Edge & Position Sizing 1:15:22 $100k to $1M and $1M to $10M 1:21:00 How to Make it This Cycle
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I personally think it’s irresponsible to be in crypto and not have any exposure to plays like $PRL and $ZEC. In a market regime where only a select few tokens outperform, you’d always want exposure to any potential 100x-1000xs (with a baseline of realistic expectations) It’s the power law playing out, outcome distribution is heavily skewed and missing outliers / high performers is really costly. I think adopting this strategy is crucial at this time of the market, especially when the marginal buyer is less risk-on. It’s important to understand that fundamentals is always a lagging indicator. Price action is always led by renewed expectations / narratives, and historically rerating happens really quickly.
I have done my research on @prlnet pearl-2:native and here’s the TLDR: Bitcoin miners run hash calculations to compete for block rewards. This computation makes it expensive for miners to rewrite transaction history while securing the network but it produces no other useful output besides security. Pearl replaces Bitcoin style hash mining with matrix multiplication (used in AI inference) proof of useful work so compute used for AI inference can also be used to mine Pearl. (more efficient) Mining and selling PRL can allow AI operators to subsidize costs (assuming the additional cost of integrating and running Pearl are lower than the value of mining rewards). Current buyers of purchasing newly minted PRL are effectively subsidizing cost for AI operators when they sell their rewards. That’s currently what the Pearl network does and potential applications in the roadmap includes: - Compute marketplace - Verifiable inference - Compute accounting - Agent payments So the current FDV of PRL is a reflection of the market expectations of Pearl being an AI monetary and settlement L1 and I think it’s underpriced at $2.7B If the roadmap executes well and can create demand for PRL, buying now gives you possible long exposure to: - An AI-native store of value: people choosing PRL as an asset to hold - Compute settlement: customers using PRL to purchase processing - AI verification and accounting services: if their usage creates PRL payments or fees. - Agent commerce: software using PRL to transact automatically
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props to @papertrade_xyz for experimenting setting out game rules / conditions for your product is tablestakes. it’s fair to assume that most capital in new products are mercenary, and expectations for these capital allocators are like an unspoken rule even though non-transferability was announced to mitigate the aforementioned issues with incentives, it’s seemed as malicious because of the implications trust is hard earned and once eroded, it’s unlikely to be gained back, not sure how 1000x leveragors are going to recoup their principal back
owning paper is owning a share in the house this is only valuable insofar as the house is valuable. owning a lot of a dead house is worthless, and any design that would let the house stay at zero is a failed design. when we went out, there were certain known problems with known timelines (builder codes) and some unsolved problems with unknown timelines. the perp attack described in the main was an unsolved problem, but we hoped to solve it as we made progress elsewhere. we knew it was impossible to set all the parameters and variables perfectly prelaunch - we are the first through the wall in a very adversarial environment - and i thought we would have more time to find solutions. unfortunately, the way things are advancing, we dont have six months until a large perp listing, its coming already. these were labelled as unsolved “good problems” and here we are. the market forced our hand into making the decision before we found a solution to the problem, and so for the health of the protocol the token is now non-transferrable. i want to thank all of the pre-market perp dexes, especially the hyperliquid ecosystem ones, who were in contact through this process. i am sorry I was not able to find a design for transferability that worked, i tried very hard. ultimately, the success of papertrade relies on what it always has - whether the end product has user PMF. i have extreme confidence in the product we've built and continue to add to. i have had to personally self-exclude myself from similar products before because i used them too much. the token being transferable or not does not change whether a degen will longterm choose to trade on papertrade or not. the execution, site quality, mechanism, and economics of the trade will. papertrade is the fastest way to go from usdc in your wallet on any chain to a leveraged speculation exposure. providing clean, working, composability derivative liquidity in a permissionless environment is the vision. thank you for your all your support since launch, and good luck to us
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Gerald Wong retweeted
Crypto bros read this
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I spent 48 hours in SF hanging out with billionaires, data labs and AI founders and execs running $1B to $100B companies. My observations: 1. Sooo MANY stories of data brokers making like $2M a WEEK selling company data to labs. I can't tell if it's the beginning or a bubble, and I kept wondering which niches are left. Digging into it actively. 2. At dinner, someone asked the table, "If a new model drops next month, does your company get better or worse?" HALF the table went quiet! I think that's the best question to ask about any AI startup right now. 3. The bar people talk about now is hitting $1B in revenue in 12 months (I guess that's the new unicorn?). What I didn't hear much about is retention. AI revenue can come in fast and leave fast, and I think we're going to see a lot of stories of AI companies with huge revenue and terrible retention. 4. It's pretty clear we're living through the reinvention of the computer. The model is the CPU, the harness is the operating system, and skills and plugins are the apps. Thinking about it that way makes it easier to see where the whitespace is. 5. We're maybe 12 months from an agent that can watch you work for a week and then do your job without any instructions. The screen recording plus agent memory plus local model combination makes this possible right now. 6. Agent harnesses feel like the new GPT wrappers, in a good way, especially vertical ones. The best teams I talked to treat the model as swappable. One founder walked me through routing different models to different jobs: one for taste and visuals, a cheaper one for the everyday stuff, another for text. They use prompts they can move across models over fine-tuning, and A/B test the output on what users actually do with it: do they edit it, export it, share it? A vertical harness is basically four things: the connectors for that industry's data, evals written by people who know the work, rules for what the agent can and can't touch, and a clean screen for a human to review. The model is maybe 20% of it. 7. There's a lot of reverse engineering going on/cloning going on more than I've ever seen. People are decompiling software and rebuilding it with agents, and someone showed a suite of like 10 apps that are worth $5B+ each all that he cloned open source. Me and everyone are still thinking through what it means when software gets this easy to copy. 8. My guess is the value moves to data. If the software can be rebuilt quickly, what's worth paying for in a legacy SaaS company is the years of customer data and workflows inside it. Some SaaS companies are secretly data companies. Gets me thinking about how do you truly value data for this saas companies? Like if we were buying these dying saas companies at 2x ARR before (as example), maybe there is a better metric. Idk, just thinking out loud here. 9. It feels like a good chunk of legacy software won't make it to the agentic era, especially anything built around people clicking through a lot of screens. 10. Every company I talked to wants to pipe its internal data into one place and expose it to agents through MCP. Then they look at the data and realize it's a mess: five versions of the same customer, old Slack channels, PDFs nobody can search. Cleaning that up feels like a big consulting opportunity! 11. A lot of founders are building the basic building blocks for agents: APIs, data layers and tools. Some of the companies I saw barely have a UI because the main user is an agent. I really believe the startups that build primitives to this agentic era will do extremely well. Building blocks is the best way to think about it. 12. Labs can get plenty of training data, but it's harder to get real examples of agents failing inside companies. Whoever has those logs has something valuable. 13. Someone running a big consumer company told me the next fight is over memory. The model that remembers the most about you wins, and the smartest model matters less than people think. 14. Physical AI came up a lot. Astra I think was the first model that got people into AI can actually do CAD, and I think a lot of people are thinking what does vibe manufacturing really look like. The line I keep thinking about came from a robotics founder: the hardest problems in AI are deployment problems now, not research problems. Their robots work on their own, call a human when they get stuck, and every one of those calls becomes training data. 15. Cybersecurity companies are having a moment and are actually cool companies to build now, especially the ones that clean up after a breach. Every agent with access to your systems is a new door into your company, and a lot of those doors were left open. 16. Some startups are worth more dead than alive now. A shutdown company with 5 years of Slack, email and code can get paid for licensing all of it. I wouldn't be surprised if founders start factoring that into when they shut down. 17. People are starting to talk about monetizing the agent web. It feels really early, but when the most popular user of the internet is an agent, what startups should you be building? 18. I think agent insurance is coming. Once an agent makes an expensive mistake, insurers will want audits before they cover anyone. 19. Several people said the hire they want most is someone with taste who can write evals. The models are getting good at generating ideas, so the hard part is judging which ones are good. 20. New trend I observed: startup raises VC, uses venture dollars to become a creator, startup fails, founder falls back on being a full-time creator and incubates other products bootstrapped. 21. Getting SIGNIFICANT distribution is HARD right now. Founders are sponsoring buses, buying billboards like crazy and throwing parties with famous DJs to get noticed. Kinda feels dotcom era in that sense. Attention is what's scarce! The growth guy going viral sharing his UGC strategy from Wispr Flow is a good example. It's the sauce everyone wants, and I truly believe there are probably only 50 people on the planet who know how to scale these types of businesses efficiently in this era. Always good to get that dose of SF. I felt sooo lucky to have such an incredible trip during such an incredible time in building businesses. Surreal in so many ways. Happy to be home and locked in. Until next time!
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Long degeneracy
Don’t buy the semis dip for yourself Do it for the kids man
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over the next 5yrs, the probability of a us debt crisis and the probability of any individual tech company getting existentially disrupted by ai are materially higher than the probability of ai/quantum breaking crypto so sell ur btc, but sell it into what? cash and bonds that are going to 0? or tech companies facing existing threats while also in a giant reflexive bubble? or yet something else that u did 2hrs of “due diligence” and convinced urself u understand? the point is, if u r spooked by the ai/quantum risk and sold ur coins, u r almost certainly misjudging magnitude of this risk vs the risks of other assets u r sold ur coins into.
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Went to @blockworksDAS today and the team did a great job curating top quality panels. I was honestly surprised by the turnout rate, the Jeff panel only had the room 20-30% filled and others were around 10-15%. Super weird, I’m not sure what this says about institutional adoption.
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I’d recommend watching their playback, lots of alpha shared teapaw.org/blockworksdas/status/2…
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I have done my research on @prlnet pearl-2:native and here’s the TLDR: Bitcoin miners run hash calculations to compete for block rewards. This computation makes it expensive for miners to rewrite transaction history while securing the network but it produces no other useful output besides security. Pearl replaces Bitcoin style hash mining with matrix multiplication (used in AI inference) proof of useful work so compute used for AI inference can also be used to mine Pearl. (more efficient) Mining and selling PRL can allow AI operators to subsidize costs (assuming the additional cost of integrating and running Pearl are lower than the value of mining rewards). Current buyers of purchasing newly minted PRL are effectively subsidizing cost for AI operators when they sell their rewards. That’s currently what the Pearl network does and potential applications in the roadmap includes: - Compute marketplace - Verifiable inference - Compute accounting - Agent payments So the current FDV of PRL is a reflection of the market expectations of Pearl being an AI monetary and settlement L1 and I think it’s underpriced at $2.7B If the roadmap executes well and can create demand for PRL, buying now gives you possible long exposure to: - An AI-native store of value: people choosing PRL as an asset to hold - Compute settlement: customers using PRL to purchase processing - AI verification and accounting services: if their usage creates PRL payments or fees. - Agent commerce: software using PRL to transact automatically
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This is not financial advice
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LOL. CME announced at 5pm Friday that it’s dropping plans for 24/7 oil trading over concerns about… staffing. Thought nobody would notice.
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As a foodie from Singapore, these are my BEST food places that you MUST visit for those attending @token2049 @blockworksDAS: 1. Wanton noodles: Chef Kang’s Noodle House maps.app.goo.gl/W64iAK9yWnJm… 2. Salted egg chicken rice: Taste Good maps.app.goo.gl/aJDMNXgojvNN… 3. Chicken rice: Nat’s Chicks maps.app.goo.gl/xdzmmzpcB59z… 4. Laksa: Sungei Road Laksa maps.app.goo.gl/fTJ7sXrE5ojZ…
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In Defense of Exponentials I used to tell founders, the reaction you are going to get to your launch is not hate, it’s indifference. By default, nobody cares about your new chain. I have to stop telling them that now. Monad just launched this week, and I’ve never seen so much hate about a blockchain that just launched. I’ve been investing into crypto professionally for 7+ years now. Before 2023, almost every chain I’ve ever seen that launched was mostly met with enthusiasm or indifference. But now, new chains are born into a chorus of hate. The amount of haters I’ve seen for projects like Monad, Tempo, MegaETH—before they even hit mainnet—is a genuinely new phenomenon. I’ve been trying to diagnose: why is this happening now, and what does it mean about the psychology of this market? The Cure is Worse than the Disease Forewarning: this is going to be the vaguest blockchain valuation post you ever read. I don’t have any fancy metrics or charts to sell you on. Instead, I’ll be arguing against the zeitgeist of Crypto Twitter, which for the last couple of years, I’ve been constantly on the opposite side of. In 2024, I felt like what I was arguing against was financial nihilism. Financial nihilism is the belief that none of these assets matter, it’s all memes at the end of the day, and everything we’ve built is inherently worthless. Thankfully, that’s no longer the vibe. We have broken out of that spell. But the zeitgeist now is what I’d call financial cynicism: OK, maybe some of this stuff has value, maybe it’s not all memes, but it’s grossly overvalued and it’s only a matter of time before Wall Street finds that out. Not that all chains are worthless. But these things are all maybe worth 1/5th-1/10th of what they’re currently trading at (have you seen these PE ratios?), and so you’d better pray like hell Wall Street doesn’t call us on our bluff, because once they do it’s all getting wiped out. You’ve got many bullish analysts now trying to conjure up optimistic L1 valuation models, inflating PE ratios, gross margins, DCFs, trying to fight against this mood. Late last year, Solana very proudly embraced REV as a metric that could finally justify their valuation. They proudly announced: we—and only we—are no longer bluffing to Wall Street! And, of course, almost immediately after REV was embraced, it fell off a cliff (though $SOL, tellingly, did better than REV did). Not that there’s anything wrong with REV. REV is a very clever metric. But the point of this post is not metric selection. Then came the launch of Hyperliquid. A DEX that had real revenue and buybacks and PE multiples. And the chorus said—look, look I told you! Finally, for the first time ever, a token that has some real profits and a proper PE multiple. (Nevermind BNB, we don’t talk about that.) Hyperliquid will eat everything because obviously Ethereum and Solana don’t make any real money, we can stop pretending to value them now. Hyperliquid, Pump, Sky, these buyback-heavy tokens are all great. But the market always had the ability to invest into exchanges. You could always buy Coinbase, or BNB, or whatever. We own $HYPE, and I agree that it’s a fantastic product. But that’s not why people were investing in ETH and SOL. The fact that L1s don't have exchange-like profit margins is not why people were buying them—if they wanted that, they could’ve bought Coinbase stock. So if I’m not critiquing blockchain financial metrics, maybe you think this post is going to be chiding the sinfulness of the token-industrial complex. Obviously, everyone has lost money on tokens in the last year, VCs included. Alts are down bad this year. And so the other half of the zeitgeist on CT is arguing about who's to blame. Who’s become greedy? Are the VCs greedy? Is Wintermute greedy? Is Binance greedy? Are the farmers greedy? Are the founders greedy? The answer, of course, is the same as it’s ever been. Everyone is greedy. Everyone. The VCs, Wintermute, the farmers, Binance, the KOLs, they're all greedy, and you are greedy too. But it doesn't matter. Because no functioning market has ever required anyone to act against their self-interest. If we're right about crypto, we can all be greedy and the investments will still work out. Trying to analyze a market that has gone down by figuring out “who’s greedy” is going to be about as fruitful as commissioning witch trials. I guarantee you, nobody just started being greedy in 2025. So this, too, is not what I’m going to be writing about. Many people want me to write a post about why $MON should be valued at X or $MEGA at Y. I’m not interested in writing this post, or advocating that you buy anything in particular. In fact, you probably shouldn’t buy any of them if you don’t already believe in them. Will any new challenger chain win? Who knows. But if it has a material chance of winning, it's going to be priced on that basis. If Ethereum is worth $300B or Solana is worth $80B, a project that has a 1-5% chance of becoming the next Ethereum or Solana will be priced according to those probabilities. Somehow CT is scandalized by this, but it’s no different than Biotech. A drug that has less than a 10% chance of curing Alzheimer's is priced by the market as worth billions of dollars, even if 90% chance it won’t pass stage 3 trials and will go to 0. That's how the math works—and turns out, markets are pretty good at doing math. Binary outcomes are priced on probabilities, not on run rates or moral turpitude. It’s the “shut up and calculate” school of valuation. I really don’t think that’s an interesting question to write about. “5% chance to win? No way, that’s clearly a 10% chance!” Markets, not articles, are the best way to assess that for any individual token. So here’s what I am going to write about: CT doesn't seem to believe anymore that chains are valuable. I don’t think this is because they don’t believe new chains can win market share. We just saw Solana dominate market share after emerging from the ashes less than 2 years ago. It’s not easy, but of course it’s possible. It’s more that people have come to believe that even if a new chain wins, there’s no prize worth winning. If $ETH is just a meme, if it’ll never generate real revenue, then even if you win, you won’t be worth $300B. The contest is not worth winning, because these valuations are all bunk and it’ll all come crashing down before you go to claim your prize. Being optimistic about chain valuations has become passé. Not that nobody is optimistic—obviously there must be optimists out there. For every seller there’s a buyer, and as much as CT cool kids love to drag L1s, people are comfortable buying SOL at $140, ETH at $3000. But there’s a perception now that all the smartest people are over buying smart contract chains. Smart people know the jig is up. If not now, then soon. The only people buying here are suckers—Uber drivers, Tom Lee, and KOLs who say stuff like “trillions.” And maybe the US Treasury. But not the smart money. This is bullshit. I don’t believe it, and you shouldn’t either. So I felt like I had to write a smart person’s manifesto on why general purpose chains are valuable. This post is not about Monad or MegaETH. It’s really in defense of ETH and SOL. Because if you believe ETH and SOL are valuable, the rest is straight downstream. Defending ETH and SOL valuations is generally not my job as a VC, but fuck it, if nobody else is willing to do it, then I’ll write it. Feeling the Exponential My partner Bo experienced the Chinese Internet boom first-hand as a VC. I’ve heard how “crypto is like the Internet” so many times now that it doesn’t even register for me anymore. But when I hear his stories, it always reminds me how costly it is to be wrong about these things. A story he often tells is about when all the early e-commerce VCs (it was a small group back then) got together for coffee in the early 2000s. They debated: how big is the market for e-commerce going to be? Is it going to be mostly electronics (maybe only techies will use PCs)? Could it ever work for women (perhaps they’re too tactile)? What about food (maybe impossible to manage perishables)? These were deeply important questions for early VCs to decide what to invest in and what prices to pay. The answer, of course, was that literally every single one of them was devastatingly wrong. E-commerce would sell everything, and the target audience was the whole fucking world. But nobody at the time actually believed it. And even if they did, it would be too absurd to say out loud. You just had to wait long enough for the exponential to show you. Even among the believers, very few thought e-commerce would become as big as it became. And those few who did, almost all of them became billionaires from just not selling. Every other VC—as Bo tells me, since he was one of them—sold too early. It has become passé in crypto to believe in the exponential. I believe in the crypto exponential. Because I’ve lived it. When I started in crypto, nobody used this stuff. It was tiny and broken and awful. TVL on-chain was in the millions. We invested into the first generation of DeFi, MakerDAO, Compound, 1inch, back when they were science projects. I remember playing around on EtherDelta back when DEXes traded single digit millions a day, and that was considered to be a huge success. It was complete dogshit. Now we routinely trade in the tens of billions on-chain every day. I remember believing it was crazy that Tether hit a billion dollars in issuance and was being written up in the NYT as a ponzi scheme on the brink of shutdown. Now stablecoins are over $300B and regulated by the Federal Reserve. I believe in the exponential because I’ve lived it. I’ve seen it over and over again. But you might respond—well, stablecoin growth might be exponential, maybe DeFi volumes are exponential, but they don’t accrue to ETH or SOL. The value doesn’t get captured by the chains. To which I answer: you still don’t believe in the exponential. Because the exponential’s answer is always the same: it doesn’t matter. This stuff is going to be so much bigger than it is today. And when it’s absolutely enormous, you’ll make it up on scale. Study this chart. This is Amazon’s P&L from 1995 to 2019. That’s 24 years. Red is revenue, gray is profit. You see that little blip on the end where the gray line goes up? That’s when, 22 years in, Amazon started actually making a profit. Amazon was 22 years old when this little gray line of net income first peeled off of 0. Every single year before then, there were op eds and critics and short sellers claiming that Amazon was a ponzi scheme that would never make any money. Ethereum just turned 10 years old. This is what the first 10 years of Amazon stock looked like: 10 years of chop. All along the way, Amazon was beset with doubters and non-believers. Is e-commerce a VC-subsidized charity? They’re selling underpriced cheap low-quality knick-knacks to bargain hunters, who cares? How are they ever going to make actual money, like Walmart or GE? If you were arguing about Amazon’s P/E ratio, you were in the wrong regime. That’s the regime of linear growth. But e-commerce was not a linear trend, and so every single person for 22 years arguing about P/E ratios was devastatingly wrong. No matter what you paid, no matter when you bought, you were not bullish enough. Because that’s what exponentials do. When it comes to truly exponential technologies, no matter how big you think it’s going to get, it just keeps getting even bigger. This is the thing that Silicon Valley has always understood better than Wall Street. Silicon Valley was raised on exponentials, while Wall Street was raised on linearity. And over the last few years, crypto’s center of gravity has migrated from Silicon Valley to Wall Street. You can feel it. Granted, crypto growth doesn’t look as smooth as e-commerce’s growth. It’s burstier, it goes in fits and starts. This is because crypto, being about money, is deeply tied to macro forces, and it also has more violent regulatory push and pull than e-commerce. Crypto strikes at the heart of the state—money—and so it’s more unnerving to governments than e-commerce ever was. But the exponential is no less inevitable. It's a crude argument. But if crypto is exponential, then the crude argument is correct. Zoom out. Financial assets want to be free. They want to be open. They want to be interconnected. Crypto turns financial assets into file formats, makes it as easy to send a dollar or a stock as to send a PDF. Crypto makes it possible for everything to talk to everything. It makes it all 24/7, global, interconnected, and open. That will win. Open always wins. If there’s no other lesson I've learned from the Internet, it’s that. Incumbents will fight against it, governments will huff and puff, but eventually they will give up against the adoption, the generativeness, the sheer efficiency that this technology enables. It’s what the Internet did to every other industry. Blockchains are how that same trend will gobble up all of finance and money. Yes—with enough time—all of it. An old saying goes: people overestimate what can happen in two years, but they underestimate what can happen in ten. If you believe in the exponential, if you zoom out enough, then it’s all still cheap. And it should humble you that every day, the holders outlast the sellers and naysayers. Big capital has a longer time horizon than CT swing traders might lead you to believe. Big capital has been trained through history not to fade big technologies. You know, the big gushy story that originally got you to buy $ETH or $SOL? Big capital believes that story and hasn't stopped. So what exactly am I arguing? I am arguing that applying P/E ratios to smart contract chains (the “revenue meta,” as it’s now called), is giving up on the exponential. It means you have consigned this industry to the regime of linear growth. It means you believe 30 million DAUs on-chain and <1% of M2 is it. Crypto is just one of the things in the world. A sideshow. It did not win. It was not inevitable. More than anything, I’m arguing to be a believer. Not just a believer, but a long-term believer. I’m arguing that this exponential will be bigger than anything else you’ve been a part of in your life. That this is your e-commerce. That you will look back when you’re old and tell your kids—I was there when it all happened. Not everyone believed it was possible, that whole societies could change, that all of money and finance would be transformed by programs running on decentralized computers that we collectively owned. But it actually happened. It changed the world. And you were a part of it. Disclosure: These are my own views. Dragonfly is an investor in $MON, $MEGA, $ETH, $SOL, $HYPE, $SKY among many other tokens. Dragonfly believes in the exponential. This is not investment advice, but is advice of another kind.
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Gerald Wong retweeted
There’s no way any of us can predict the impact that AI will have on companies, sectors or consumer behavior (which has been, for all of history until now, human behavior). But to claim that it won’t have an impact and simply brush it off lacks both humility and creativity. Tactics that worked when consumer behavior was dictated by human psychology will fall by the wayside, and those that fail to adapt will be left behind. Every day from now on we will see new examples of areas where friction was profitable becoming cost centers for companies that don’t react in a timely enough manner. Today you might realize just how many flight credits, loyalty points or promotional offers you’ve never used that will end up utilized by agents. What impact will that have? Tomorrow, you might see something that makes you ask how much money health insurers make simply because people won’t sit on the phone for 5 hours trying to get coverage approved unless it’s a massive expense and/or life or death matter. What about your savings account? That money could be in a money market fund, but you haven’t bothered to move it. How much in net interest income is made because of that friction? The coming years will be some of the most interesting for investors who are intrigued by paradigm shifts and their ripple effects. I, for one, could not be more excited to see how it all plays out and invest through the changes.
Flight delayed 7 hours - asked Muse to file for compensation. 5 mins later i had $250 credit in my delta account. it even found and rebooked me a new flight. it just figured everything out. even responded to the support email itself. shit feels like magic.
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