BlockLayer Podcast

895 posts

BlockLayer Podcast banner
BlockLayer Podcast

BlockLayer Podcast

@BlockLayerPod

Unpacking AI, Crypto & digital culture with Web3's boldest voices. 📧 [email protected]

New York, NY Katılım Nisan 2020
6 Takip Edilen116.7K Takipçiler
Sabitlenmiş Tweet
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
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.
BlockLayer Podcast tweet media
English
138
317
1.8K
1.8M
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
“Parallel execution isn’t a nice-to-have — it’s what makes on-chain apps usable for normal people.” @sachishiokava is joined by @jayendra_jog, Founder of @SeiNetwork, to break down which Ethereum-native apps stand to benefit most from a parallelized stack — and why higher throughput is ultimately about usability, not benchmarks. Jay points to trading and DeFi as the clearest winners. If an 18-year-old wants to buy $20 worth of a meme coin but has to pay $15 in fees, the experience breaks immediately. In low-TPS environments, users are not just slowed down — they are priced out entirely.
English
0
47
188
37.4K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
“Watching Robinhood turn off buys during GameStop made one thing painfully clear: the rails still have gatekeepers.” @kenzixbt catches up with @jayendra_jog, Founder of @SeiNetwork, to unpack how Jay’s pre-crypto journey shaped his conviction around building in Web3. From joining Robinhood in 2017 when it was still a scrappy startup in Palo Alto, to watching it scale 10x and eventually go public, Jay saw firsthand both the power and the limits of traditional financial infrastructure. That experience — especially moments like GameStop — made one thing obvious: if the core rails can still be shut off by a handful of gatekeepers, then the system was never truly open to begin with.
English
0
50
206
72K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
“Virtual machines are like cities — once they’re established, they become magnets.” @dikshaarden sits down with @jayendra_jog, Founder of @SeiNetwork, to unpack Jay’s macro thesis: why legacy hubs — whether cities like New York and San Francisco or dominant virtual machines — tend to remain on top, even when their weaknesses are impossible to ignore. Drawing from his own experience living in both cities, Jay explains the intuition behind the analogy: congestion, safety concerns, homelessness, and other structural issues rarely drive people away on their own. The real force is gravity — activity, talent, networks, and opportunity compound where they already exist.
English
6
32
136
19.4K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
The New Bitcoin Mining AI Play With data center construction hitting an 8-year bottleneck, crypto miners' existing power contracts have transformed into some of the scarcest assets in tech. Here's why AI's infrastructure crisis is sparking a mining stock renaissance 👇 ~~ Analysis by @TheaKaage ~~ Mining's Early AI Bet ChatGPT's November 2022 launch immediately highlighted synergies between BTC mining and AI. During first-half 2023, mining stock valuations expanded multiples as investors priced in new value. Post-FTX, miners had already transitioned to high-performance computing (HPC) generalists to diversify revenue. As AI compute demand accelerated, miners marketed infrastructure toward the sector. Early efforts disappointed: - Applied Digital's North Dakota AI facility reportedly cost 10x more than equivalent crypto mining construction - Hardware incompatibility. Mining-specific GPUs and ASICs largely don't work for AI applications, requiring hardware replacement and facility upgrades - Limited demand. Early attempts to repurpose GPUs for large language models generated disappointing revenue, indicating weak demand for lower-quality AI compute The Permit Pivot AI's compute demand has exploded, unlocking trillions in capital and creating incessant demand for data centers. Yet the industry hit a physical infrastructure bottleneck: new data center construction takes eight years total. The most variable portion is permitting and approval. Projects face community opposition on environmental, economic, and quality-of-life grounds: - Job creation. Data centers create only a few hundred permanent jobs versus thousands for similarly-sized factories - Resource strain. One hyperscale facility requires ten million gallons of water and one hundred megawatts of power daily—the demand equivalent of 100,000 homes - Quality of life. Criticism over aesthetics and noise pollution often depresses local property values In the United States, permitting delays have become so severe that new data center construction declined for the first time since 2020 despite soaring AI demand. Desperate for workarounds, AI companies are targeting cryptocurrency miners with established data centers for permit arbitrage. Miners are increasingly valued for access to power and water rather than core operations. The sector is equipped with 6 gigawatts of grid-connected capacity and plans to double its pipeline by 2027. Investment firms have started betting big, scooping up stocks like CORZ, IREN, and RIOT to profit from embedded power contracts and development permits. Leopold Aschenbrenner, who grew a $1B fund to $5.5B in one year, dumped his Nvidia position to buy Bitcoin mining companies—not for Bitcoin exposure, but for their existing infrastructure. New Paradigm? The idea that Bitcoin miners could ride the AI wave is not new, but the thesis has evolved. While early efforts fizzled, the current narrative centers on scarce permitted power. Mining stocks enjoyed a secular bull market from June through October 2025, but have treaded water to begin 2026. Whether this narrative unlocks sustained value remains open, but permitted power is becoming one of the scarcest assets in the compute economy.
BlockLayer Podcast tweet media
English
17
30
108
27.5K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
“Proof of Collaboration = how strong the swarm is. Proof of Contribution = what each agent actually moved, with permanent on-chain audit trails.” @ronbodkin (Founder, @TheoriqAI) joins @sachishiokava to break down trusted performance in Theoriq: actions are committed on-chain as non-repudiable evidence, and evaluators use transparent scoring rules over the full history—while the system stays open for specialized eval agents.
English
19
65
256
128.3K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
“DeFAI = DeFi as an agent economy: set the strategy, let agents execute, watch feedback in real time.” @sachishiokava x @ronbodkin (Founder, @TheoriqAI) on how AI-run DeFi could bring smart-money infrastructure to everyone — not only institutions.
English
34
54
211
28.9K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
In 2017, I stepped into Google Cloud’s CTO Office because I could feel the shift coming. AI wasn’t a feature — it was the next operating layer of the world. Google was leading that wave. @kenzixbt in conversation with @ronbodkin (Founder, @TheoriqAI) about the Google years that sharpened Theoriq’s vision — and the early signals that made the AI trajectory impossible to unsee.
English
32
39
176
62.8K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
“Responsibility means steering crypto + AI toward outcomes that benefit everyone — and giving the community real power to set the course.” Our host @dikshaarden in conversation with @ronbodkin (Founder, @TheoriqAI) on why responsibility in crypto + AI starts with governance from day one — so the future isn’t dictated by monopolies or closed-door incentives.
English
19
24
143
36.4K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
New episode dropping this week with @ronbodkin, founder of @TheoriqAI. We go deep on AI x crypto: decentralized agent collectives, what real governance + accountability can look like, why AI still lacks shared standards, and the metrics that actually matter for decentralized AI networks. We also unpack Theoriq’s core thesis—interoperability + composability—plus Proof of Contribution / Proof of Collaboration as trust primitives, and the practical realities of token design, incentives, and governance.
BlockLayer Podcast tweet media
English
14
28
101
28.3K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
Small Models Could Crack the Private AI Problem A new study reveals small models with curated "Skills" can outperform frontier models, potentially unlocking fully homomorphic encryption for practical use and finally delivering mathematically guaranteed privacy. Here's the breakdown and what can be delivered👇 ~~ Analysis by @dannykpark~~ The Privacy Spectrum: Trust, Hardware, Math Current privacy approaches remain trust-based, either through trusting providers not to log queries, or trusting hardware that researchers have repeatedly compromised. These improve on baseline cloud inference but still require trust. Cryptography. Fully homomorphic encryption (FHE) enables computation on encrypted data without decryption—the only mathematically guaranteed solution. The model processes encrypted inputs and returns encrypted results. Your data never exists unencrypted outside your device. The Obstacle: FHE Remains Computationally Intensive The bottleneck. According to @zama, current FHE performance is only feasible with small, old models like GPT-2 scale. Full encryption for frontier models remains years away. But that assumes you need frontier models for frontier-quality results. The Breakthrough: Small Models With Skills Beat Big Models Without Them This month, SkillsBench tested whether smaller models augmented with curated "Skills" (structured step-by-step guides popularized by Claude) could match larger ones. Results: - Claude Haiku 4.5 (small) + Skills: 27.7% pass rate - Claude Opus 4.5 (large), no Skills: 22.0% pass rate The small model with focused guidance outperformed the big model running without them. Healthcare tasks saw the largest improvement at +51.9 percentage points. Two critical findings emerged. First, 2-3 focused Skills outperformed comprehensive documentation—quality over quantity. Second, when researchers prompted models to generate their own skills, performance plummeted. Models can consume curated expertise but cannot create it. Human curation remains essential. Why This Matters for FHE The implication. Healthcare, finance, and legal—the domains most needing privacy—are exactly where Skills deliver the biggest gains. If small models with curated knowledge can punch above their weight, the bar for "good enough" drops. We don't need FHE to scale to frontier models; we need models small enough to be FHE-friendly yet capable enough to be useful. The gap. Zama demonstrated FHE on 2019-era models while SkillsBench tested on Haiku 4.5, released last year. Six years of model evolution—including the advent of ChatGPT—separate what FHE can handle from what SkillsBench proved. Skills augmentation promises to bridge this gap, but success remains unproven. The timeline compresses, but not to tomorrow. An Interim Bridge Local inference. The models powering Apple Intelligence, Gemini Nano, and open-source equivalents already run locally. While "local" by default does not mean "private," proper vetting could change that. Here, ERC-8004 provides a critical bridge. Even if a model is open source, this reputation layer verifies it isn't phoning home to a central provider. Combined with Skills to close the capability gap, local models could offer practical privacy today. What This Could Look Like For users worried about AI's creeping access to personal data, Ethereum-aligned AI offers concrete alternatives to "trust us" or "opt out." For developers, capable private models—whether through FHE cryptography or vetted locality—are closer than many believe. If you're building toward FHE-wrapped inference, Skills-augmented small models, or reputation layers for local AI, the infrastructure is assembling rap
BlockLayer Podcast tweet media
English
15
32
136
29K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
“DA layers really differ across three dimensions: performance, programmability, and AI-native design — because on-chain AI can’t operate in a world measured in mere megabytes per second.” @sachishiokava catches up with @michaelh_0g, Founder of @0G_labs, to break down how 0G compares with Celestia, Avail, and EigenDA: why throughput needs to increase by orders of magnitude, how to move beyond the broadcast bottleneck, and why a decentralized storage network is essential for ultra-fast data ingestion and retrieval.
English
64
45
206
70.9K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
“Back in 2016–17, crypto felt like a true idea factory — hundreds of experiments, zero gatekeeping, and pure creative energy.” Our host @dikshaarden sits down with @michaelh_0g, Founder of @0G_labs, to explore one of the most exciting parts of building in Web3: a culture shaped by experimentation first. They also dive into how tokenization creates new ways to fund and sustain projects — including open-source work — beyond the limits of the traditional Web2 business model.
English
19
47
167
38.6K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
“After moving from Berlin to Silicon Valley, I found myself bored at a new school — so I started spending time at my dad’s SAP Lab: fast internet, endless reading, and the beginning of my love for technology.” Our host @kenzixbt sits down with @michaelh_0g (@0G_labs) to trace his origin story — from early curiosity and a growing obsession with tech to his path into Web3, and ultimately, the founding of his company.
English
27
35
139
32.8K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
New episode dropping this week with @michaelh_0g, founder of @0G_labs. We go deep on AI × crypto: modular AI chains, decentralized AI infrastructure, community-owned data, and why modularity is the unlock for scaling AI on-chain. Also: Michael’s founder journey, and how meditation + spiritual practice shape his leadership as he builds the first modular AI chain.
BlockLayer Podcast tweet media
English
13
22
103
14.6K
Clifton Sellers
Clifton Sellers@CliftonSellers·
2000: I lost my mom to cancer 2001: I found out I was adopted 2002: I started doing drugs 2004: I started playing football 2007: I battled depression 2010: I went to college 2012: I met my future wife 2018: I became a father 2020: I was in $30,000 credit card debt 2021: I started a Twitter account 2022: I made my first dollar online 2023: I quit my job and went all in 2024: I hit my first million dollar year 2025: Hit my first $2,000,000 year, built our dream home, and continue to pursue a life of meaning 2026: Continuing to go all in on life The one thought I had the entire time was that the only person who could get me out of this is myself Don't ever give up on yourself These things take time
Clifton Sellers tweet media
English
357
171
2.4K
122.4K
sachi.eth
sachi.eth@sachishiokava·
been digging into EIP-7805 and the whole FOCIL mechanism in ethereum’s next upgrade wrote a short thread explaining how it could limit transaction censorship
BlockLayer Podcast@BlockLayerPod

Ethereum Is Getting a Censorship Shield with EIP-7805 Ethereum's upcoming Hegotá upgrade will include FOCIL, a new mechanism that mitigates transaction censorship. Here's how the EIP works 👇 ~~ Analysis by @sachishiokava ~~ EIP-7805 (FOCIL: Fork-Choice Enforced Inclusion Lists) has been scheduled for Ethereum's upcoming Hegotá upgrade. Ethereum researcher @soispoke noted: > "In today's world, it's remarkable that the Ethereum community can stand behind protocol upgrades that reinforce core cypherpunk values." The Problem FOCIL Solves Currently, Ethereum validators outsource block building to specialized entities via out-of-protocol proposer-builder separation (PBS). While economically efficient, this concentrates power among a handful of builders who can refuse transactions—whether for regulatory reasons or otherwise—effectively censoring them from the chain. FOCIL removes this veto power. How FOCIL Works For each Ethereum slot, a committee of 16 validators is pseudorandomly selected. These validators independently scan the mempool and broadcast an Inclusion List (IL) of transactions that must be included, capped at 8 kilobytes per list. The next block proposer must include all IL transactions. Attesters will only validate blocks containing these transactions. If a builder skips valid IL transactions, the block gets rejected by the fork-choice rule. This isn't a social norm—it's protocol-level enforcement. Under this paradigm, skipping IL transactions becomes a protocol violation that renders blocks non-canonical. Why FOCIL Matters Currently, hostile builders can suppress any transaction. Under FOCIL, censoring a transaction requires controlling a randomly selected group of 16 validators each slot—a practically impossible guarantee to break over time. Users currently depend on trusting builders to behave. FOCIL removes this dependency entirely while preserving builders' economic role in transaction ordering. The Synergies to Come FOCIL also combines with upcoming features like EIP-8141 (Frame Transactions). @VitalikButerin that together they enable guaranteed inclusion within 1-2 slots for smart wallets, gas-sponsored transactions, and privacy protocols through 17 randomly selected actors per slot: > "With FOCIL and 8141 together, anything, including smart wallet txs, gas sponsored txs, and even privacy protocol txs, can be included onchain through one of 17 different actors (the proposer or the includers) that are all chosen randomly in each slot. This gives us guaranteed rapid inclusion, meaning almost certainly within 1-2 slots, of any such tx, even in an adversarial environment." Zooming Out While most chains optimize for throughput, Ethereum continues investing upgrade cycles in neutrality guarantees. Implementation is currently underway for Hegotá (slated late 2026), with client teams progressing through six milestones—track progress at meetfocil.eth (dot) limo. FOCIL represents Ethereum's commitment to hardness fit to anchor its world ledger vision for decades to come.

English
25
19
89
18.9K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
How NFT "Mechs" Are Supercharging RAILGUN's Privacy RAILGUN crossed $4.5B in shielded volume in 2025, yet complex DeFi transactions remain out of reach for its privacy suite. Gnosis Guild's NFT-based "Mechs" are set to unlock non-atomic transactions while keeping balances fully private. Here's the technical breakdown 👇 ~~ Analysis @dikshaarden ~~ RAILGUN 101 @RAILGUN_Project is an onchain privacy suite deployed on Ethereum, Arbitrum, and Polygon. It uses zero-knowledge cryptography to shield ERC-20s and NFTs from public view. Users receive a 0zk address, a private wallet where shielded assets become indistinguishable from each other. Amid crypto's privacy renaissance, RAILGUN has emerged as a key protocol, crossing $4.5B in total shielded volume in 2025. Rise of the Mechs Mechs, built by @gnosisguild, are NFT-based smart contract accounts with programmable ownership. They combine ERC-6551 (allowing NFTs to own wallet addresses) and ERC-4337 (account abstraction). A Mech can execute any onchain action, from basic swaps to complex DeFi positions. Ownership is flexible, controllable by specific NFT or ERC-20 holders. This flexibility provides the breakthrough RAILGUN needs for its privacy suite. The RAILGUN integration Current 0zk addresses handle atomic DeFi transactions (single-block actions like simple swaps). However, they cannot manage non-atomic activities like borrowing, staking, or multi-sig transactions. Under RAILGUN Connect, the protocol's universal private DeFi connector, a Mech sits between your 0zk address and target protocols. The flow works as follows: deposit unshielded tokens into your Mech, shield the Mech into a 0zk address, then execute calls via Zodiac Pilot (a Gnosis Guild tool) to interact with DeFi protocols. Protocols see only a normal account conducting standard transactions while your actual balance remains invisible onchain. What to watch The RAILGUN x Mechs integration remains in development but nears production readiness. Gnosis Guild proposed the integration to RAILGUN governance in April 2025. $RAIL governors ratified it shortly after, with development ongoing since. In January 2026, Gnosis's @auryn_macmillan demoed RAILGUN Connect using the @CoWSwap frontend to execute a private swap on @0xPolygon. No timeline exists for full deployment, but the prototype suggests launch is imminent. Post-launch, expect broader adoption. The Ethereum Foundation's upcoming Kohaku privacy wallet is integrating RAILGUN's tech, creating an avenue for private non-atomic DeFi transactions. Others will follow.
BlockLayer Podcast tweet media
English
24
42
199
44.6K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
The NFT Invasion Nobody Noticed While headlines obsess over JPEG speculation, NFTs have quietly become the backbone of modern DeFi. Uniswap positions, Polymarket bets, and Sablier payment streams all run on ERC-721s. The infrastructure takeover is already happening 👇 ~~ Analysis by @punk0439 ~~ Why Everything Will Be an NFT "Everything will be an NFT." So tweeted @pbrody, Chair of the Enterprise Ethereum Alliance. As an NFT wonk, I concur. Ontologically, NFTs are ownable handles for unique onchain state. Their flexibility and programmability position them to permeate every area of human life. Since 2021, most associate NFTs with art, PFPs, and game assets. While experiments like @normiesART , and @DXRGai continue in these categories, the format simultaneously colonizes finance and business infrastructure. The Infrastructure Reality These protocols already use NFTs as core infrastructure, though none market themselves as "NFT projects": > @Polymarket. Underpins Yes/No prediction market outcomes with conditional ERC-1155s. > @Uniswap. V3 and V4 liquidity positions are minted and managed through ERC-721s. > @LiquityProtocol "Trove" borrow positions transfer as ERC-721s, enabling onchain debt markets. > @eth_strategy. Issues long bonds composed of American call options represented as ERC-721s. > @flaunchgg. Lets coin launchers access trading fee revenues via ERC-721 Royalty NFTs. > @Sablier. Represents Flow and Lockup-style real-time payment streams as ERC-721s. > @ensdomains. Domain ownership and transferability function via ERC-721s. > @Courtyard_io. Tokenizes physical collectibles like Pokémon cards as ERC-721s to streamline secondary markets. > FundingWorks by @token_works. Vests raised ETH through soulbound NFTs and issues patron NFTs burnable to reclaim unspent funds. > @RAILGUN_Project. Deploys ERC-6551 NFT smart wallets inside shielded addresses for private DeFi access. > @thewarren_app. Supports deploying multi-file websites onchain with no external dependencies via NFT containers. > zOrg by @z0r0zzz. Mints membership badges as NFTs for its onchain DeFi corporation. For these protocols, the NFT is simply the most elegant tool for the job—an ownable, programmable handle for unique state. As Brody suggested, this quiet proliferation across finance and business will only accelerate, even as the NFT label fades into infrastructure. Image
BlockLayer Podcast tweet media
English
18
27
120
23.5K