BlockLayer Podcast

How to Stop Crypto From Hitting $10 Trillion Charlie Munger liked to say: "Invert, always invert." Instead of asking how to succeed, ask how to fail. So here are a few reliable ways to make sure crypto never becomes a $10 trillion market. Today, we're inverting the question to find the path forward.👇 ~~ Article by @kenzixbt ~~ Assume the World Cares About Our Chains Since the inception of crypto, the industry has operated around chains. And for a long time, that was the correct thing to do. Chains are the foundation on which everything else runs. So it's very important that we get that part right. And that's exactly what we did. Over the first fifteen years of crypto, blockchains became the most heavily funded category in the industry. The smartest minds, from Satoshi to Vitalik to Anatoly, have spent the prime of their lives building blockchains the way they believed they should be built. And this practice of building around chains has had lollapalooza effects on how everything else happens in the industry. Value accrual has long been understood to accrue at the chain layer, popularized by the fat protocol thesis. Chain tokens have been the best performing assets in the history of crypto. From ETH to SOL to BNB, these have provided some of the best returns to investors over the last decade. Wallets became the most widely used interfaces in the industry, tools designed primarily to help users interact with what's happening onchain. Builders and users began organizing themselves around chains, gravitating toward the ecosystem that resonated with them. This framing has worked really well for us. The industry needed an anchor in crypto's early years. Chains became that anchor. They became flagbearers for different versions of the crypto ethos, each optimizing for a different set of trade-offs. Crypto is now a $4 trillion market. All of this made sense. But this moment should also mark the beginning of the end of the idea that crypto should revolve around chains. Because today, this same framing is starting to work against us. And the simple reason is fragmentation. Fragmentation of liquidity. Fragmentation of capital. Fragmentation of users. Fragmentation of talent. Fragmentation of attention. Under chain-first thinking, we're fragmented at the core and operate in isolation. We behave as if things happen in isolation in this industry. While in reality, crypto is a tightly coupled collection of small markets, which together operate as a single universal market. Think about this question posed by a16z crypto's X account: Which chains are you building on? It shows exactly what's wrong with this thinking around chains. Why does it matter if someone is building on Ethereum or Solana or xyz chain? What matters is that they're building in crypto. It's one market. Yet because we frame crypto as a collection of separate chains, we allocate resources accordingly. Liquidity, capital, users, and builders are spread thin across different environments, each optimizing its own walled garden. That local optimization comes at the expense of global outcomes. This is the inversion we need to make as an industry. We need to stop building for our chains and start building for crypto. Otherwise, we risk optimizing individual pieces while stifling the growth of the market as a whole. The analogy we can learn from is countries. Countries are divided into states to improve local execution, but they compete and operate as a single economy on the global stage. The states work together as a united front. No serious country optimizes its states at the expense of its national market. Crypto needs a similar unification moment. Chains are the states. Crypto is the country. We're all divided into states like chains, but we're all part of one big country called crypto—and we have to come together as a united front to make crypto a bigger market. Markets, not chains. That should be the rallying call for the future of crypto. To the outside world, this is already the truth. When institutions, fintechs, governments, or consumer platforms evaluate crypto, they don't see chains, they see a large, growing market. If we want the next leg of adoption, we have to align with that reality and be willing to set aside internal incentives, tribal loyalties, and bag bias. That means convincing the world why crypto as a market is a massive opportunity: to rebuild financial rails onchain. Rails that are globally accessible, rooted in transparent public ledgers, and that move value faster and cheaper for everyone. Build Things and Wait for People to Come One of the lazier criticisms of crypto is that it hasn't built anything people actually want. I don't buy it. That narrative is consensus because it's easy to take a shot on crypto. In reality, it starts from the wrong expectations and applies the wrong mental model. It assumes crypto should have produced consumer social apps, when in reality crypto has been rebuilding the financial layer of the world from scratch—so it's inevitable that we have applications that look financial and speculative by nature. And I think that's the actual innovation of crypto. Crypto embeds the ability to move value directly into the internet layer. This was missing from the world and we're changing that. Any crypto application will, in some form, express that property. Crypto has built a lot of cool things. But the negative outlook comes from the fact that all of them are financial primitives or linked to speculation somehow. But on that point, I'd like to point that the whole world operates on speculation, and crypto is rebuilding the legacy financial system from scratch with new principles. So it's no surprise that the most widely used crypto applications today include trading terminals, exchange frontends, leverage platforms, and memecoin markets. From the outside, this looks like financial nihilism. But in reality, it's just crypto serving the needs of the world. In doing so, we've created entirely new markets. Memecoins turn attention and internet culture into tradeable assets. Prediction markets present a way to speculate on the events of the world. NFTs created a native digital form for art and ownership rights. DeFi rebuilt lending and borrowing without credit scores, replacing reputation with collateral and math. But where the industry does face a real challenge now is not application building, but distribution. Up to this point, crypto could grow by building better technology and assuming users would eventually show up. That phase is over. From here on, growth depends on whether we can reach people who don't already care about crypto. Hence, crypto has a distribution challenge. Our problem is simple but hard to solve: how do we market to the world that doesn't live on crypto twitter? Right now, crypto marketing is overwhelmingly inward-facing. We talk to builders, traders, and power users on Crypto Twitter and convince ourselves we're "educating the market." In reality, we're preaching to the same audience over and over again. I think we need distribution channels that already reach the mainstream. And a lot of you will hate me for saying this but, centralized exchanges have the reach, trust and familiarity to take crypto mainstream: They have the household name brand recognition already. They have revenues and marketing budgets that allow them to market to the mainstream. They have products that the average investor wants. Think about it: How many people outside of crypto know about Uniswap? Very few. How many people outside of crypto know about Binance / Coinbase? A lot. So maybe CEXs become the gateway for onboarding the next wave of users. But the lesson to take from CEXs for crypto's growth is that we need to prioritize distribution and market crypto to the world in simple terms. Build trusted brands and market to the average investor and not just the average crypto bro. From here on, crypto's success depends less on better protocols and more on better communication. We need to think like marketers, not just builders. If we want adoption, we have to make crypto legible, desirable, and accessible to the rest of the world, and actively bring users in instead of waiting for them to show up. Sell Our Soul to the Suits One quick way to make sure crypto fails is to sell out to the suits at the finish line. After spending fifteen years proving that crypto deserves to be taken seriously, there will be a temptation to make compromises to "close the deal" with institutions. To soften positions in the name of pragmatism. To meet the market where it is. That would be the biggest mistake we could make. As institutions come onchain, it becomes even more important for crypto to hold the line on the things that actually make it valuable: self-custody, censorship resistance, permissionless access, and open participation. Now that crypto has a seat at the table, the worst thing we could do is pretend those principles are negotiable. If we do this, we will lose. Because if we remove what makes crypto fundamentally better, we'll be left competing with incumbents on their terms. There are a few obvious ways this can go wrong. Take stablecoins. They are simply a better way to move value over the internet: faster settlement, lower costs, global reach. Treating CBDCs as acceptable substitutes would undermine the entire point. Or take private chains. People often push them as a reasonable middle ground to onboard institutions to crypto, but in reality, they're just mid-curving. Private chains sacrifice transparency and composability—and these are not acceptable trade-offs we should be willing to take. If institutions want to build in crypto, they should build things that align with the crypto ethos. Crypto doesn't need to prove it belongs anymore. That argument is over. Now we need to preserve the properties that made it worth adopting in the first place. No trade-offs at the home stretch. Conclusion If crypto wants to fail to become a $10 trillion market, the playbook is clear: Obsess over chains instead of markets. Fragment into walled gardens. Build applications without figuring out distribution. Abandon our ethos. Instead of going down this forbidden path, we need to prioritize around the right things: Markets matter more than chains. Applications matter more than infrastructure. Access to crypto as a market matters most. Doubling down on properties that make crypto, crypto. Crypto doesn't need a miracle to get to $10 trillion. It just needs to stop doing the things that prevent it from getting there. Invert those habits, and the rest takes care of itself. Markets usually do.

“What if the real unlock for AI x crypto is not speculation — but proving intelligence can be trusted?” @sachitakahara sits down with @dcbuilder for a deep dive into the intersection of AI and crypto, from DC’s work building the ZKML community to why zero-knowledge machine learning could become a core trust layer for AI on the internet. They break down how ZKML makes it possible to prove that a machine learning model produced a specific output from specific inputs — without forcing everyone to rerun the full computation themselves. The conversation also explores why this matters for model accountability, transparency, and verifiable AI at scale, plus the projects pushing the space forward, from Modulus Labs and Giza to EZKL and new research around proof of inference.

“What if a Web3 identity starts less as a brand — and more as a challenge to yourself?” @kenzixbt catches up with @dcbuilder for a deep dive into the origin of the DC Builder name, pseudonymous identity, and why crypto culture made merit feel more important than background. They break down how the 2021 analyst wave, DeFi Twitter, and the ability to be judged by ideas alone shaped the way DC entered the space — first as a researcher and writer, then as someone who wanted to become a builder. The conversation also explores why “Builder” became a social forcing function, how pseudonyms create contrast and memorability, and why in Web3, what you think and what you build can matter more than who you are offline.

“Why does Web3 research feel more alive than any other industry?” @dikshaarden joins @dcbuilder for a conversation on what makes crypto research so unique: the open debates, the public forums, and the fact that anyone can go from reading an EIP to DMing the people shaping Ethereum’s future. They break down why Web3 research isn’t locked behind institutions or closed rooms — it happens in real time, across threads, forums, chats, and communities where ideas can move fast and still go deep. The conversation dives into how this openness changes the role of a researcher: not just observing the space, but actively entering the flow of proposals, technical debates, and protocol-level thinking before they become mainstream.

This week’s episode features DC Builder (@dcbuilder), Research Engineer at the Worldcoin Netwrok (@worldnetwork). We dive into Worldcoin’s mission to democratize digital identity and finance worldwide, and why proving personhood could become one of the most important primitives for the next era of the internet. The conversation explores the challenges behind verifying real humans at global scale — from web of trust systems to biometrics — and how Worldcoin approaches identity, privacy, and fair wealth distribution. DC also breaks down the role of Semaphore, zero-knowledge proofs, and privacy-preserving infrastructure in making digital identity usable without turning it into surveillance. We also dig into the emerging ZKML space, the intersection of crypto and AI, and why machine learning, verification, and decentralized systems may become one of the most exciting frontiers in Web3. A deep episode on identity, trust, ZK, AI, and the infrastructure needed to make the digital world more human.

Selling crypto to cover expenses hurts: you trigger taxes and lose exposure. DeFi borrowing fixes both. Instead of selling your ETH, lock it as collateral, borrow USDC instantly onchain, spend like cash, and stay long — no taxable event in the U.S. And now, do this directly through Coinbase👇 ~~ Analysis by @punk0439 ~~ This is an integration I can happily recommend to my family and friends, as @coinbase is one of the most trusted and easy-to-navigate crypto exchanges, while @Morpho is one of the most proven and dependable DeFi lending protocols. With this integration, you can now borrow against your ETH without leaving the comfort of the Coinbase app. Assuming you already have some ETH holdings on Coinbase, you just: 1. Click on your ETH balance to bring up your Ethereum dashboard. 2. Scroll down to the "Borrow" tab and press "Start." 3. Review the primer info—your Borrow up to amount (based on your ETH deposited to Coinbase), the Variable rate (the fluctuating interest Morpho will charge on your loan), and the Liquidation LTV (the "loan-to-value" point at which your underlying ETH could be liquidated for repayment)—and then press "Continue." 4. Input the amount of USDC you want to borrow, then click "Review loan." 5. Check that your loan details are satisfactory. When ready, press "Borrow now," then "Accept and continue." Your loan will be submitted, though it may take a minute or two to finalize in Coinbase's UI. That's all it takes to get started! If you open a loan, navigate to your Coinbase "Cash" tab and in the "Borrow" section you'll see a "Manage Loans" button. Go here for the "Repay" option to pay back the USDC you borrowed over time. These ETH-backed loans have a flexible term, so you don't have to pay back specific amounts per a specific schedule. Just repay whenever in whatever amounts suit you, though keep a close eye on your loan health to avoid liquidation. Also, keep in mind that USDC borrowed on Coinbase can't be used for buying crypto on Coinbase, so this particular avenue is meant for cashing out and spending. As far as DeFi onramps go, this integration is about as simple and safe as it gets. If you or someone you know hasn't gotten around to borrowing against ETH yet, this is certainly a good place to start.

After 7 years, Aztec’s Ignition mainnet is live. Yet zero transactions or apps work yet. The chain is deliberately empty – because true protocol-level privacy can’t be rushed. Here’s how this phased, decentralization-first launch positions Aztec as the leading private L2 on ETH👇 ~~ Analysis by @KieranSolberg ~~ What's Actually Running Think of Ignition like Ethereum's beacon chain from 2020. The governance and consensus infrastructure is operational, but the execution layer remains offline. The team is running what amounts to a live stress test with real money on the line. Each sequencer staked at least 200K $AZTEC tokens to participate. They're producing blocks, provers are generating validity proofs, and the whole system is settling on Ethereum, just without any transactions. The goal of running Ignition with real economics for 2-3 months will (hopefully) surface any remaining issues before transactions go live in early 2026, while setting the network up to be decentralized from day one. The Decentralization Push In Aztec's eyes, launching an L2 with a centralized sequencer from the get go rarely translates to decentralization down the road. Centralized sequencers generate $40-150M annually in fees. Once you're locked into those cash flows, decentralization means making transactions slower and more expensive. The tension never resolves. Instead, @aztecnetwork will launch fully decentralized from day one across three dimensions: ➢ Ownership is decentralized through $AZTEC token holders who control network parameters, fee schedules, and protocol upgrades. ➢ Block Production runs through 617 decentralized sequencer nodes using proof-of-stake. These nodes order transactions and produce blocks. To prevent any single party from gaining control, a small committee of sequencers is randomly selected to validate blocks before they are submitted to Ethereum. ➢ Proving is permissionless from the get-go. Provers generate the zero-knowledge proofs that cryptographically confirm all transactions in a batch are valid. They aggregate blocks and submit a single, final proof to Ethereum for verification, guaranteeing the integrity of the entire rollup. When transactions go live, Aztec will qualify as a Stage 2 rollup, the highest decentralization tier for L2s. Most chains have pushed boundaries in one direction. Hitting all three pillars simultaneously is rare. In Aztec's eyes, decentralization isn't optional for privacy. Centralized sequencers would face pressure from governments to install backdoors. Privacy requires cryptography plus decentralization, not one or the other. What Happens Next There are two major upcoming events, one technical and one token-related. On the technical side, Ignition will remain live for 2-3 more months with sequencers producing empty blocks while the team monitors for issues. Early 2026 is when transactions flip on. Users will be able to send payments, deploy smart contracts, and interact with applications. By the end of 2026, block times should drop from the current 36-72 seconds down to 4 seconds, faster than Ethereum's 12-second blocks. On the token side, the pre-allocation for the $AZTEC token sale is currently live, with the sale beginning December 2nd and running for 4 days. The sale uses @Uniswap's continuous clearing auction mechanism, meaning if you bid early, part of your bid clears at early prices and part clears later. This levels the playing field between early and late participants while letting price discovery happen naturally. When the auction ends, it automatically creates a Uniswap V4 liquidity pool at the final clearing price. To participate in the sale, you must register prior to December 2nd. For compliance, Aztec is using @ZKPassport, enabling people to prove cryptographically that they're from allowed jurisdictions and not on sanctions lists without traditional KYC. The sale is open to US retail and nearly every country worldwide, with the exception of sanctioned countries on the standard OFAC list. The current 500 sequencers already staked $AZTEC tokens they purchased in a whitelisted genesis sale. They're earning rewards in $AZTEC right now. However, all tokens, whether from the genesis sale, the current public auction, or insider allocations, are non-transferable until Token Generation Event (TGE). There is no set date for when TGE occurs, rather the community votes on it. However, the earliest date it can go live is February 11th, 2026. Once TGE happens, tokens purchased in the public auction unlock 100%. 7 Years in the Making Overall, Ignition and the $AZTEC token sale demonstrate both the complexity of successfully executing privacy, as well as the extent to which Aztec is going to get this right. First you have the need for decentralization from the get-go to ensure privacy endures, a feat unaccomplished by countless L2s launched so far. Then you have the tension between privacy and compliance, which the token sale's integration with ZK Passport helps solve. Regardless of how mainnet goes, and I'm hopeful all goes well, this launch process shines as a testament to diligent design, demonstrating that forces like decentralization, privacy, and compliance can all coexist.

“What happens when AI infrastructure stops chasing everything — and focuses on making intelligence actually reliable?” @sachitakahara joins Karan Sirdesai (@karansirdesai), Founder of @miranetwork, for a deep dive into how Mira is taking a sharper path in decentralized AI: high-trust, reliable intelligence as the core product. They break down why Mira isn’t trying to be another full-stack AI protocol, how it differs from networks like Bittensor, Ritual, and Sahara, and why its narrow focus could make it easier to plug into the broader AI infra ecosystem instead of competing with every layer. The conversation also dives into Mira’s reliability model — from core tech to node-level consensus — and why the future of AI APIs may depend less on raw model access, and more on whether users can actually trust the intelligence they receive.

“What if AI is the rare shot we get to reshape the internet itself?” @kenzixbt catches up with Karan Sirdesai (@karansirdesai), Founder of @miranetwork, to trace how a self-taught builder went from cold DMs, crypto arbitrage, and working with names like Balaji Srinivasan and Sandeep Nailwal — to betting early on AI before the world fully understood where it was heading. They unpack why Karan has always taken the road less traveled, how his time at Accel gave him access to frontier AI companies before generative models became obvious, and why the speed of AI’s evolution made him realize this would be bigger than a business wave — it would touch every part of human life.

“What happens when AI becomes the backbone of the internet?” @dikshaarden sits down with Karan Sirdesai (@karansirdesai) , Founder of @miranetwork, to unpack the future where AI doesn’t just give us information, it starts thinking, acting, and making decisions for us. They break down the upside of “infinite hires,” 90% of our cognitive work moving beyond humans, and a productivity shift that could make today’s jobs look outdated. But the same thing that makes AI powerful also makes it dangerous: overreliance, catastrophic mistakes, malicious agents, and a new alpha species humans have never had to coexist with before.

This week’s episode features Karan Sirdesai (@karansirdesai), Co-Founder and CEO of Mira Network (@miranetwork). We dive into Karan’s journey from university hustle and early crypto experiments to building one of the most important infrastructure layers for reliable AI. The conversation explores why AI hallucinations are one of the biggest problems holding the industry back, and how Mira is approaching trust, safety, and verification for high-stakes use cases across finance, healthcare, and beyond. We also dig into Mira’s “aha” moment, born from hands-on experimentation with GPU rentals, AI pipelines, and the realization that multiple models could be used together to verify intelligence through consensus. Karan shares how his work with Balaji Srinivasan, his non-linear founder path, and Mira’s deep AI + crypto team shaped the mission: building decentralized AI infrastructure that can make artificial intelligence more reliable, trustworthy, and usable at scale.

The privacy trade has been a rare bright spot amid crypto market stagnation. ZEC's September run reached a nine-year high in November, 28x above its 1y low, before tanking when the Zcash core dev team announced they were leaving over a governance dispute. XMR has since taken command of the privacy trade. Today, we're breaking down how Zcash and Monero actually differ ahead of our episode with Zooko next week.👇 ~~ Article by @kenzixbt ~~ Origin Stories The fundamental difference between these two projects lies in how they got started: @monero was born on forums, while @Zcash was born in universities. Monero launched in 2014 as "Bitmonero" by an anonymous user named thankful_for_today, based on the CryptoNote protocol. The community famously "took over" the project early on. There's no CEO, no office, and development is funded entirely through voluntary donations via the Community Crowdfunding System (CCS). A small Core Team acts as stewards — managing repositories and holding funds — but they don't dictate the technical roadmap. Zcash traces its roots to 2013 academic research at Johns Hopkins University, where cryptographers developed the Zerocoin protocol. The design evolved into Zcash, launched in 2016 by cypherpunk @zooko Wilcox and the Electric Coin Company. Unlike Monero, Zcash has worked alongside regulators rather than against them. These different origins shaped fundamentally different reputations. Monero's mandatory privacy made it a preferred choice for darknet markets. According to @trmlabs, nearly half of new darknet marketplaces in 2024 used XMR exclusively. Zcash, by contrast, is rarely cited in ransomware or darknet reports. XMR's reputation has led to exchange delistings. Binance dropped XMR in February 2024, OKX in January 2024, and Kraken removed it for European users in October 2024. Zcash avoided major delistings: Binance removed its "Monitoring Tag" in July 2025, and OKX relisted it in November 2025. Core Privacy Mechanisms Think of any transaction as a message. With Monero, your message gets mixed into a crowd — you speak at the same time as 15 other people, so an observer can't prove it was you. With Zcash's shielded transactions, your message goes into a locked box that only the recipient can open. Monero uses a three-pronged approach: ➢ Ring Signatures hide the sender by mixing your transaction with around 16 decoys already on the blockchain. ➢ RingCT hides the amount by encrypting transaction values while proving no new coins were created. ➢ Stealth Addresses hide the receiver by creating a one-time address for every transaction. Zcash uses zk-SNARKs to provide privacy, allowing transactions to be proven valid without revealing sender, receiver, or amount. When you send a shielded transaction, Zcash generates a cryptographic proof confirming you have the right to spend the coins without inspecting the transaction details. Mandatory vs. Optional Privacy With Monero, privacy is mandatory. You cannot send a transparent transaction. This creates "herd immunity" — all transactions look identical. The argument: optional privacy isn't real privacy. If only "suspicious" people use the private option, they become targets. Zcash offers privacy by choice. ZEC can be used transparently or moved to a shielded address. While privacy isn't required, the shielded pool continues to grow — around 30% of ZEC supply now sits in shielded pools, up from 8.7% a year ago. Consensus and Supply Monero uses the RandomX proof-of-work algorithm, designed to be ASIC-resistant and optimized for CPUs friendly to at-home miners. Monero has a tail emission — an infinite supply with around 0.6 XMR per block perpetually added. This ensures miners always have incentive to secure the network. Zcash currently uses Equihash — an ASIC-optimized proof-of-work mechanism. It's transitioning to Crosslink, a hybrid PoW/PoS system that brings deterministic transaction finality. Crosslink layers a PoS "finality gadget" on top of PoW: miners produce blocks, but stakers provide confirmation that makes transactions permanent. Like Bitcoin, Zcash has a fixed supply cap of 21 million ZEC with a halving schedule roughly every four years. What's Next Both protocols have major upgrades in development. Monero is working on FCMP++ (Full-Chain Membership Proofs), which would replace ring signatures. Instead of mixing with around 16 decoys, transactions would mix with the entire blockchain history — expanding the anonymity set from "crowd of 16" to "crowd of everyone." Zcash has Tachyon in development, a major scaling initiative that will dramatically increase network speed, plus Crosslink for the hybrid PoS transition and improved user experience through new wallets and functionality like Near Intents integration. One technical note: Zcash's privacy layer is quantum-resistant, while Monero's ring signatures are not. Monero developers plan to address this via FCMP++ and future upgrades. Different Tools, Different Bets A project's success ultimately rests on adoption — and adoption depends on organizational strength and reputation. On organization, Zcash's corporate structure enabled rapid R&D and cutting-edge cryptography, but the ECC departure exposed its concentration risk. Monero's decentralized contributor model is slower to coordinate, but no single departure creates crisis. On reputation, the tradeoffs are stark. Zcash's optional privacy and compliance-friendly features have kept it listed on major exchanges, but at the cost of weaker network-level privacy guarantees. Monero's mandatory privacy made it dominant for darknet markets — driving systematic exchange delistings and regulatory hostility. The "one true privacy coin" debate ultimately comes down to what users are optimizing for. Monero offers stronger privacy today but faces steeper adoption headwinds. Zcash offers a path to broader adoption but requires users to actively choose privacy — and most don't. Both have returned to relevance after dormant years, but each must now demonstrate they can keep the spotlight and that their architectures can outcompete and outlast the other.

“What does it take to build when nobody expects you to win?” @kenzixbt speaks with @ruschimanche, Co-Founder of @movement_xyz, to trace the story behind Movement Labs — from broke Vanderbilt dorm-room founders with $100 to their name, to building one of the most talked-about teams in crypto. They discuss the underdog mentality that shaped Movement from day one, why competing against polished researchers and established teams created a permanent chip on their shoulder, and how that scrappy internal drive still defines the company today. From go-to-market and ecosystem growth to the fight for attention, liquidity, projects, and blockspace, this episode explores what it means to wake up every day trying to be number one in one of the most competitive markets in Web3.

“What happens when the limitations of today’s rollup architectures become impossible to ignore?” @sachitakahara catches up with @rushimanche, Co-Founder of @Movement_xyz, to break down why current optimistic and validity rollups still struggle with slow withdrawals, fragmented state guarantees, and security bottlenecks — and how a new state-focused architecture aims to solve them. They discuss how economic security and validator-based slashing mechanisms can create near-instant settlement guarantees between rollups, why shared sequencing changes interoperability across L2s, and how native-token staking models could replace traditional fraud-proof assumptions. The conversation also dives deep into the Move language and Move Prover, exploring why formal verification matters, how tiny arithmetic mistakes in Solidity continue to cause massive exploits, and why runtime verification could fundamentally change smart contract security. From integer overflows to real-world attack vectors, they explain how Move was designed to act like an “auditor at runtime” for blockchain applications at scale.

“What does it take to build when nobody expects you to win?” @dikshaarden speaks with @rushimanche, Co-Founder of @movement_xyz, to trace the story behind Movement Labs — from broke Vanderbilt dorm-room founders with $100 to their name, to building one of the most talked-about teams in crypto. They discuss the underdog mentality that shaped Movement from day one, why competing against polished researchers and established teams created a permanent chip on their shoulder, and how that scrappy internal drive still defines the company today. From go-to-market and ecosystem growth to the fight for attention, liquidity, projects, and blockspace, this episode explores what it means to wake up every day trying to be number one in one of the most competitive markets in Web3.

This week’s episode features Rushi Manche (@rushimanche), Co-Founder of Movement Labs (@movement_xyz). We dive into Rushi’s journey from a young coder to building one of the most talked-about teams in Web3, and unpack how early technical curiosity, time investment, and hands-on experience shaped the way he thinks about crypto, founders, and product. The conversation explores the rise of meme coins, why they became such a powerful cultural force, and how Gen Z marketing is changing the way crypto projects capture attention, build communities, and move markets. We also dig into Movement Labs, the role of the Move language, and how its technology aims to make Ethereum more secure, scalable, and accessible for the next generation of applications. Rushi shares what Gen Z founders need to understand if they want to succeed in Web3, from building real skills to finding sharp distribution, staying close to users, and moving fast in one of the most competitive markets in tech.

Two weeks ago, Bittensor successfully completed its first halving. Now, as emissions adjust and the network reshapes incentives, several subnets are emerging as ones to watch. Spotlight on Synth: the predictive intelligence subnet launched by @modenetwork, building high-fidelity synthetic price data for forecasting. In its early stages, the network's demonstrating its worth following👇 ~~ Analysis by @kenzixbt ~~ I, like many others, am mesmerized by the predictive potential of AI and have taken stabs at testing out different products that claimed to have achieved this goal. Infinite Games' predictive agent Aeon – I lost money. Taoshi's signals – I made money, then I lost money. I share these to demonstrate that many teams have driven towards predictive intelligence using decentralized AI. Obviously achieving this would be a goldmine, but it also feeds the hunger we all have to gaze into the crystal ball. While these are "selfish" motivations, I'll put forth a more "selfless" one borrowed from nof1's recent article: these "unpredictable" financial environments produce a better benchmark to test AI against. AI now scores in top percentiles in coding, reasoning, writing, and math olympiads — all controlled environments that can be memorized, pattern-matched, or gamed through training data. Real-world environments like markets cannot, or at least are much more difficult to. This was the impetus for @the_nof1 creating Alpha Arena, a trading competition where LLMs were provided portions of $320K to trade with. (Most have failed horribly, though Grok's has posted some nice returns.) And while many teams are building toward predictive intelligence, very few have demonstrated success. Though, so far, Synthdata has and is continuing to, which is why I'm diving deeper. What Synthdata Actually Does Synthdata is a decentralized network for predictive financial intelligence. Miners compete to model uncertainty for short-term price movements across assets — BTC, ETH, SOL, XAU (gold) — and that modeling feeds downstream applications: options pricing, liquidation probabilities, liquidity provision strategies. Validators continuously send requests asking miners questions like, "Where might BTC be over the next hour?" Each miner independently generates 1,000 possible price paths, minute by minute. Some show price going up, some down, most landing somewhere in between. The key mechanic: miners do not assign probabilities to paths. Each path carries equal weight. Probability emerges from how many paths land in a given outcome. If 620 of 1,000 paths end higher than the starting point, that implies 62% odds of Up. No miner declared "62% confident" — that number fell out of the simulation. This design prevents confidence manipulation and forces honest uncertainty modeling. There's no single "Synth model." There's an open competition, with miners free to use whatever approach captures real price behavior best. How Miners Are Judged Miners aren't judged immediately or on profit. They're judged after reality happens, by validators, using CRPS (Continuous Ranked Probability Score) — a method for evaluating how well someone modeled uncertainty, not whether they guessed right. CRPS penalizes three failures: being wrong (reality far from most paths), being overconfident (paths too tight, reality outside), and being vague (paths spread everywhere "just in case"). You cannot game it by always being confident, always being vague, or getting lucky once. Scores feed into a leaderboard where recent performance matters more than old. Rewards flow to miners reliably honest about the uncertainty of outcomes. Proving It Out on Polymarket To demonstrate the system works, Synthdata runs a public @Polymarket account trading the BTC Hourly Up/Down market. Synth already has implied odds from its paths. If 620 of 1,000 end higher, that's 62% implied probability of Up. Say Polymarket prices Up at 55 cents (implying 55%). Synth sees a gap — its models suggest 62%, the market says 55% — so it buys Up. Not because it knows BTC will rise, but because it knows the odds are mispriced. Using this method, it has turned $3K into $73K. What This Points Toward The Polymarket account serves as a compelling proof of concept for the network's broader vision of predictive financial intelligence. Of course, questions remain. Going from $3K to $73K is astoundingly impressive, but the sample size is limited. Edges erode. What works in one regime may fail in another. Polymarket's hourly markets prove much thinner than larger markets like 0DTE options which Synth looks to support (though it hasn't established a similar account-based proof of concept for, to my knowledge.) Still, the system design is compelling and, personally, feels more sustainable than those providing "long/short" signals. Whether it matures into something durable or burns out like others remains to be seen. But Synthdata has receipts, and that alone makes it worth watching.

“High-performance infrastructure only matters if it expands what users can actually do onchain — and makes that experience accessible at scale.” @sachitakahara sits down with @jayendra_jog, Co-Founder of @SeiNetwork, to examine why parallelized execution is becoming increasingly important for the next generation of onchain applications. From trading and DeFi to high-frequency user activity that simply breaks in low-throughput environments, they discuss how lower fees and greater execution capacity can fundamentally reshape the user experience — especially for smaller participants who are otherwise priced out. They also explore how this plays out in practice through projects like Bancor’s Carbon DeFi, where Sei has emerged as the ecosystem driving the strongest activity and volume, underscoring how performance advantages translate into real adoption.

“What happens when someone inside one of the most iconic retail platforms of the last cycle sees its limits up close?” @kenzixbt speaks with @jayendra_jog, Co-Founder of @SeiNetwork, to trace the path that took him from the early days of Robinhood in Palo Alto — through hypergrowth, the IPO era, and the shock of the GameStop moment — to building in crypto. They discuss how witnessing the mechanics and constraints of traditional financial infrastructure firsthand reshaped his thinking, why the suspension of buys during one of retail’s most defining episodes left such a lasting impression, and how that experience ultimately pushed him toward systems designed to be more open, more resilient, and less dependent on centralized control.

“Virtual machines are like cities — once they reach critical mass, they become magnets that are incredibly hard to displace.” @dikshaarden catches up with @jayendra_jog, Co-Founder of @SeiNetwork, to unpack this idea at a deeper level — why systems with flaws can still dominate simply because that’s where the activity, liquidity, and people already are. From New York and San Francisco to onchain environments like the EVM, they explore how network effects compound over time, why newer ecosystems struggle to pull users away even with better tech, and what it actually takes to break that inertia.

This week’s episode features Jayendra Jog (@jayendra_jog), Founder of @SeiNetwork. We dive into Jay’s journey from traditional finance at Robinhood to building Sei Network, and unpack how his view of markets, users, and product feedback shaped the way he thinks about blockchain infrastructure. The conversation explores the parallels between established cities and virtual machines: why dominant systems like the EVM are so difficult to displace, what makes developers stay, and what it actually takes for a new ecosystem to earn attention. We also dig into the need for higher throughput in Web3, how parallelization can help solve today’s performance limits, and why scalability matters if crypto applications are going to serve real users at a much larger scale. Jay also reflects on the role of memecoins, not just as speculation, but as community-driven movements that can reveal how culture, attention, and network effects form onchain.