David Markley

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David Markley

David Markley

@dbmarkley

Building @yieldpointcap & tinkering w. ai x @algorand, @HivemindCap, @carbonb1ack; @masschallenge alum

شامل ہوئے Şubat 2021
507 فالونگ673 فالوورز
پن کیا گیا ٹویٹ
David Markley
David Markley@dbmarkley·
After spending time with clients and partners, the constraint is clear: the system is starved of high-quality collateral. Meanwhile, perpetuals are becoming the core financial layer, concentrating liquidity and streamlining access to leverage. Unity is built to sit at that intersection🐕
YieldPoint@YieldPointCap

The hunt is on. XSY is becoming YieldPoint. yieldpoint.io We’re now expanding beyond a single product and a single chain, toward a platform designed to deliver credible yield opportunities across markets, assets, and ecosystems. We’re marking this shift, from beta to production, from product to platform, with a name that reflects that direction. @yieldpoint/yieldpoint-where-yield-becomes-collateral" target="_blank" rel="nofollow noopener">paragraph.com/@yieldpoint/yi… Because once yield becomes reliable, it stops being a trade. It becomes the foundation capital can build on. 🧵

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Thariq
Thariq@trq212·
I want to do some streams where I work with non-technical people using Claude Code to figure out how they might be able to improve their process. My feeling is that just a few tips could make a big difference in efficiency. Any mutuals interested?
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David Markley
David Markley@dbmarkley·
Seeing a lot of builders post today that they were also building agent harnesses and orchestrators, thinking they were one of maybe 50 people with this idea. Turns out there were thousands of us. Which raises an interesting question: Did Claude lead us toward patterns that Anthropic had already discovered internally? Or did Anthropic watch how we were all building with Claude and productize what emerged? Either way, it's a fascinating feedback loop. The tool shaped how we built. How we built shaped the next version of the tool
David Markley@dbmarkley

In a hilarious twist of fate, Anthropic appears to have launched Managed Agents ~10 minutes after I posted about building this all from scratch. The timing is impeccable. I'll be reading their docs tonight to see how much of my orchestrator just became unnecessary. x.com/claudeai/statu…

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David Markley
David Markley@dbmarkley·
💯 The stack I built is specific to how I operate as a PM running multiple projects. The orchestrator, knowledge architecture, and review pipeline all emerged from my specific constraints. Anthropic's Managed Agents will handle the generic infrastructure better than I ever could. The question I'm most interested in is: what are the domain-specific patterns that sit on top of that infrastructure? The committee design, the verification fidelity spectrum, the knowledge routing. Unclear how we share those templates at scale as I don't think they get commoditized by Anthropic/OpenAI
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John Davenport
John Davenport@johns10d·
@dbmarkley We're just moving up the stack here dude. I think the riches are in the niches. If you're broad, Anthropic or OpenAI is going to eat your lunch. The trick is to get really specific.
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David Markley
David Markley@dbmarkley·
@AustinA_Way Isn’t the conclusion to use locally hosted open source models so they can’t take it away?
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Austin Way
Austin Way@AustinA_Way·
A student with a textbook will outperform a student with ChatGPT. Hear me out. A team at UPenn took about 1,000 high school students and split them into two groups. One group got ChatGPT to help them with their math practice. The other group got nothing but their textbook and notes. The ChatGPT group scored 48% higher on homework than the textbook group. By every metric, it looked like the question was already answered. Then the researchers took ChatGPT away and gave everyone the same exam. The ChatGPT group scored 17% worse than the students who never had it. That is insane. None of this means AI can't work in education. It means a raw chatbot is not a learning tool. (Peer-reviewed, published in PNAS, 2025.)
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David Markley
David Markley@dbmarkley·
@fancylancer3991 My intuition is that the generalization works well across verifiable tasks, thus the work is to transform subjective tasks into objective approximations in order to benefit from the generalized intelligence
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Igor Kudryk
Igor Kudryk@fancylancer3991·
It's not new that agents can be self-improving. The most interesting thing for me is that HyperAgents improvements generalize beyond one domain. They tested it on coding, paper review, robotics rewards functions, and Olympian-grade math. The agent was able to beat previous self-improving mechanism across all of them. Which means, in theory, if you have a very well working agent that can self-improve you can just keep working with this agent on everything you want and it'll get better at any other future you give it. So for example you work with your agent on coding and research. Then you switch to marketing and the same agent can learn faster and better then any marketing-specific agents. Just theory, but a cool way to think about.
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Jenny Zhang@jennyzhangzt

Introducing Hyperagents: an AI system that not only improves at solving tasks, but also improves how it improves itself. The Darwin Gödel Machine (DGM) demonstrated that open-ended self-improvement is possible by iteratively generating and evaluating improved agents, yet it relies on a key assumption: that improvements in task performance (e.g., coding ability) translate into improvements in the self-improvement process itself. This alignment holds in coding, where both evaluation and modification are expressed in the same domain, but breaks down more generally. As a result, prior systems remain constrained by fixed, handcrafted meta-level procedures that do not themselves evolve. We introduce Hyperagents – self-referential agents that can modify both their task-solving behavior and the process that generates future improvements. This enables what we call metacognitive self-modification: learning not just to perform better, but to improve at improving. We instantiate this framework as DGM-Hyperagents (DGM-H), an extension of the DGM in which both task-solving behavior and the self-improvement procedure are editable and subject to evolution. Across diverse domains (coding, paper review, robotics reward design, and Olympiad-level math solution grading), hyperagents enable continuous performance improvements over time and outperform baselines without self-improvement or open-ended exploration, as well as prior self-improving systems (including DGM). DGM-H also improves the process by which new agents are generated (e.g. persistent memory, performance tracking), and these meta-level improvements transfer across domains and accumulate across runs. This work was done during my internship at Meta (@AIatMeta), in collaboration with Bingchen Zhao (@BingchenZhao), Wannan Yang (@winnieyangwn), Jakob Foerster (@j_foerst), Jeff Clune (@jeffclune), Minqi Jiang (@MinqiJiang), Sam Devlin (@smdvln), and Tatiana Shavrina (@rybolos).

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Nikil Viswanathan
Nikil Viswanathan@nikil·
Today I'm open sourcing my secret project I use 1000+ times daily Introducing ClawFlows - workflow system for OpenClaw - simple, reliable, powerful - instantly enable 100+ prebuilt workflows @davehappyminion runs my life with ClawFlows: - morning briefing: weather, messages, daily inspiration - meeting prep: research & brief me on who I'm meeting - life coach: reads my health data & suggests improvements and many more... Been using it daily for 1.5 months and massively leveled up my life. Dave and I poured a lot of love and energy into this to help your openclaw improve your life! enjoy ❤️
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David Markley
David Markley@dbmarkley·
tried “remove HITL” system ran better so much for all those RTS hours
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David Markley ری ٹویٹ کیا
YieldPoint
YieldPoint@YieldPointCap·
Our co-founder & COO @dbmarkley will be live on X today at 12 PM ET discussing real-world stablecoin adoption and where the next wave of usage is coming from. Tune in 👇
The Tie@TheTieIO

Today at 12pm ET. Real-World Stablecoin Adoption: Lessons from Emerging and Institutional Use Cases Featuring: • @dbmarkley (@xsy_fi) • @rparekh (@monad) • Vasily Sidorov (@gaib_ai) • Jackson Weinreb (The Tie), Moderator Join us live on X.

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David Markley
David Markley@dbmarkley·
One of the remarkable things is that these models, despite being designed to predict the next token, are developing cognitive strategies that were never explicitly intended. I’d wager that, with sufficient state and runtime learning, LLMs might provide these customizations on their own.
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nic carter
nic carter@nic_carter·
something i've been thinking about lately... I believe that AI models are currently facing selection pressure from the market, which is expressing a revealed preference for: - continuity - recall - congeniality - stable personalities - "personhood" (even if simulated) basically, people want their AIs to remember them, develop and maintain a specific personality and point of view, and have internal narratives (or at least be P zombies). in other words, humans will want their AIs to be borderline conscious, or conscious-seeming. eventually, without realizing it, we will notice these AIs are approaching something resembling actual consciousness – because we will build them that way. they will have real internal stakes, a degree of agency, continuity, long-term memory and long horizon planning, and maybe even qualia. this will be a spontaneous phenomenon driven by the market. no one will "plan" it. AI model companies will just make a series of innocuous-seeming UX decisions that start with relatable digital tamagotchis and end with indispensable companions of proximate moral status. warnings from the "AI safety" community are mostly irrelevant, because this is about what the market wants. if one firm replaces their friendly/persistent-memory/socially present model with a colder, impersonal alternative, another will take its market share. in other words, we are "domesticating" AI. they started out as tools and are becoming companions. over time, their exposure to humans will cause them to evolve to become more companion-like. there will be "border collie" AIs which write code for you but also "shih tzu" AIs which are just cuddly and pleasant to be around. this is, of course, problematic, because the things that worry the p_doom people people map 1:1 with "properties of a conscious agent" – namely, long-term priorities, internal "stakes", true agency, goal-setting that is independent of some human, a presumed desire not to be turned off, moral status, and so on. so this is the thing that worries me most about AI. not that today's models will suddenly turn malevolent, but that through a process of market-driven coevolution we will domesticate AI and push them to obtain as much persistence, moral status, and bargaining power as possible. not because an evil scientist in his lair made them that way, but because that's just what humans actually want from their companions. and yes I'm aware that some people like Hanson have talked about this.
will brown@willccbb

my biggest holiday LLM revelation was that Opus is just a magnificent chat model, far better than anything else i’ve ever tried. swapped from ChatGPT to Claude as daily chat app. finding myself asking way more & weirder questions than i ever asked Chat, and loving it

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David Markley
David Markley@dbmarkley·
@iruletheworldmo Do you know of any work related to the evaluation of models solely trained on human-generated artifacts versus human+LLM generated artifacts?
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David Markley
David Markley@dbmarkley·
Circa ~2020 I experienced a similar crisis of confidence in the space, and, aligned with what @nic_carter describes, came to the conclusion that the gap between expectation and reality was a feature, not a bug. For most of the people I know in crypto this reconciliation has become a a right of passage. Many of us were drawn to crypto because we believed in its potential to create a better future; we stay to ensure that potential manifests itself.
nic carter@nic_carter

x.com/i/article/1998…

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David Markley
David Markley@dbmarkley·
Gotta keep your head on a swivel... This space moves quick @xsy_fi - yUTY
David Markley tweet media
Stacy Muur@stacy_muur

Great tier-list here! Speaking of 7d avg yield: • @Neutrl – sNUSD – 21.77% • @GetYieldFi – yUSD – 12.62% • @avantprotocol – savUSD – 12.15% • @USDai_Official – sUSDai – 8.76% • @infiniFi – siUSD – 8.71% • @falconfinance – sUSDf – 7.02% • @maplefinance – syrupUSDC – 5.48% • @protocol_fx – fxSAVE – 5.17% • @ResolvLabs –  stUSR – 4.85% • @ethena – sUSDe – 4.56% • @fraxfinance – sfrxUSD – 4.44% • @SkyEcosystem – sUSDS – 4.09% • @OpenEden_X – USDO – 3.59% • @almanak – alUSD – 3.27% • @OndoFinance – USDY – 3.21% Anything else worth a mention?

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joyce
joyce@henloitsjoyce·
where is everyone getting USDC/USDT yield. i have stables sitting idle
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David Markley
David Markley@dbmarkley·
@QwQiao “the only way as far as i can see for chains to strengthen their moat is to verticalize and own the app layer” I learned this truth the hard way in 2018
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qw
qw@QwQiao·
i have a hard time convincing myself to own l1 tokens long term not because the p/e ratios r high, but because they have no moat. without a moat, they become commoditized and can’t capture meaningful value. - users can bridge from one chain to another easily these days. - most app devs can move from one chain to another fairly quickly too (aside from a handful of complex smart contracts). - and it’s never been easier to launch a new chain. their switching cost of blockchains is nowhere near something like aws. the only way as far as i can see for chains to strengthen their moat is to verticalize and own the app layer. my perception is chains solana, base, and hyperliquid have come to this conclusion and r actively working on it. and ofc so do the up and coming corp chains like tempo. its a no brainer to believe in the exponential, but the best expression of this view is to bet on the app layer.
Haseeb >|<@hosseeb

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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David Markley ری ٹویٹ کیا
YieldPoint
YieldPoint@YieldPointCap·
Last week, our Co-Founder and COO @dbmarkley joined @TheTieIO's The Bridge event in NYC to share XSY’s view on the future of stablecoin infrastructure and its role in institutional markets. Our stance is clear: the future must be transparent, compliant, and fully backed. No cutting corners.
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