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“Parallel execution isn’t a nice-to-have — it’s what makes on-chain apps usable for normal people.” Sachi Takahara / 0699.eth is joined by Jay ($/acc), Founder of Sei, to break down which Ethereum-native apps stand to benefit most from a parallelized stack — and why higher throughput is ultimately about... show more

BlockLayer Podcast

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“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.” Sachi Takahara / 0699.eth catches up with Michael Heinrich (Ø,G), Founder of 0G Labs (Home of Infinite AI), 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.

“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.” Sachi Takahara / 0699.eth catches up with Michael Heinrich (Ø,G), Founder of 0G Labs (Home of Infinite AI), 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.

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“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.” Sachi Takahara / 0699.eth catches up with Michael Heinrich (Ø,G), Founder of 0G Labs (Home of Infinite AI), 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.

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Are Ethereum Layer 2 solutions truly addressing the scalability challenge? 🤔 In a compelling discussion, sachi.eth asks Jay ($/acc), founder of Sei, on why many existing L2s fall short on throughput and performance—and how Sei’s innovative parallel stack architecture proposes a fundamentally different path to scaling. This conversation dives deep into the limitations of current approaches and explores what it takes to build a blockchain infrastructure ready for the next wave of DeFi and Web3 adoption.

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“Proof of Collaboration = how strong the swarm is. Proof of Contribution = what each agent actually moved, with permanent on-chain audit trails.” Ron Bodkin (Founder, Theoriq) joins Sachi Takahara / 0699.eth 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.

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Sitting down with Kenzi Nakamura and Jay ($/acc), founder of Sei. From Robinhood to Web3, Jay shares why building Sei meant rethinking speed, throughput, and user demand from the ground up. Parallelization is key — and memecoins, he notes, aren’t just hype, but cultural fuel for community growth.

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A lot of chains focus on attracting developers, thinking that if you build great apps, the users will just show up. But the truth is, even the best apps won’t succeed without a solid strategy to bring users in, and to be honest, not every developer is great at that. That’s why we believe a strong blockchain ecosystem isn’t just about dev tools or infrastructure. It’s about having an active community of users ready to try, support, and help grow what you build.

A lot of chains focus on attracting developers, thinking that if you build great apps, the users will just show up. But the truth is, even the best apps won’t succeed without a solid strategy to bring users in, and to be honest, not every developer is great at that. That’s why we believe a strong blockchain ecosystem isn’t just about dev tools or infrastructure. It’s about having an active community of users ready to try, support, and help grow what you build.

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Sachi Takahara / 0699.eth sits down with David Minarsch ☴, core contributor to OLAS, to break down what it really means to co-own AI. Instead of just using AI, OLAS lets users participate — through tokens, running agents, or even operating them as businesses. From DeFi to prediction markets, agents generate yield, and operators share in the upside. It’s a shift from passive users to active participants in an AI economy. But ownership is only half the story — alignment matters. Through staking contracts, OLAS defines clear KPIs for agents, similar to roles in a workplace. Agents act autonomously, but incentives keep them aligned with the system’s goals. And at the infrastructure level, reliability is handled through decentralized agent architecture — combining multiple models and consensus mechanisms to reduce errors and improve decision-making. The result: AI that isn’t just decentralized — but coordinated, incentivized, and owned by the community.

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"Most people didn't see the real story of the GME saga. Robinhood had to post billions of dollars if they wanted to keep trading open." For Sei Labs co-founder Jay, an early Robinhood engineer, it exposed a deeper problem — markets were going global and digital, but settlement wasn't. Sei is the infrastructure built to close that gap. Real-time settlement, verifiable execution, scaling toward 200K TPS. Markets Move Faster on Sei.

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Most people experience AI through apps. Those apps run on infrastructure owned by a handful of companies. Ben Fielding and Harry Grieve of gensyn on why that needs to change, and what it's going to take to rebuild AI as crypto-native open infrastructure. 00:00 – Intro 00:29 – Misconceptions about AI infrastructure 01:20 – Why centralization in AI is a deeper problem than people realize 04:19 – Why AI needs crypto 05:51 – How AI models are trained 08:15 – The rise of autonomous AI agents with onchain identities 10:37 – Lightning round

a16z crypto

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President Trump is asked about the possibility of a government shutdown and says what every sane person is thinking. "We have a great economy going. Prices are down. We have virtually no inflation...We're respected by every nation in the world and you know what happened? The Democrats want to shut it down..They want to give billions, ultimately trillions of dollars to illegal migrants." He adds, "They also want to have open borders. They want to have men in women's sports. They want transgender for everybody. These people are crazy. If it has to shut down it will have to shut down. But they're the ones that are shutting down the government."

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Kate called in to The Ramsey Show to ask if she should wait to buy a house until she’s married. She’s single, makes $150K a year in a business she started, and has $125K saved for a down payment. But some people in her life are pressuring her not to buy a house and wait for a man.

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Pi Dapp News π

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For the outsider who is not well-acquainted with the crypto sector, it may not be obvious — given how much marketing hype there is about every blockchain — but Ethereum has far and away the most advanced technology in crypto, and any project outside of Ethereum is at best a long-shot fueled by VC ambitions. Let's go through tangible metrics: Ethereum mainnet supports 21.3 TPS, and blob-enabled rollups now push that to 125+ TPS — all while preserving Ethereum’s base-layer security and verifiability. No other protocol scales with this level of trustlessness. Competing chains boost TPS by sacrificing verifiability — offloading consensus or requiring privileged hardware (see chart below). The idea that high-TPS chains have "better tech" for parallel execution is also outdated. MegaETH — a high-performance Ethereum scalability solution — brings true parallelism and high throughput to the EVM, secured by ETH via EigenLayer and EigenDA. On execution, MegaETH now outpaces all so-called high-scalability virtual machines (see below). On data availability, EigenDA already exceeds the capacity of every competing DA solution. When it comes to DeFi security and tooling, the EVM has always been unmatched — as Aave founder Stani Kulechov points out in the video below, via Laura Shin. And on client software, Ethereum leads by a wide margin. No other chain comes close to its level of client diversity — a key factor in decentralization and network resilience. At this point, the EVM and Ethereum stack offer: • The most secure virtual machine with the strongest developer tooling • The most decentralized and verifiable network architecture • The most scalable modular tech stack — across execution, settlement, and data availability — without compromising decentralization Despite cutting corners everywhere, other chains cannot come close to Ethereum on any metric.

For the outsider who is not well-acquainted with the crypto sector, it may not be obvious — given how much marketing hype there is about every blockchain — but Ethereum has far and away the most advanced technology in crypto, and any project outside of Ethereum is at best a long-shot fueled by VC ambitions. Let's go through tangible metrics: Ethereum mainnet supports 21.3 TPS, and blob-enabled rollups now push that to 125+ TPS — all while preserving Ethereum’s base-layer security and verifiability. No other protocol scales with this level of trustlessness. Competing chains boost TPS by sacrificing verifiability — offloading consensus or requiring privileged hardware (see chart below). The idea that high-TPS chains have "better tech" for parallel execution is also outdated. MegaETH — a high-performance Ethereum scalability solution — brings true parallelism and high throughput to the EVM, secured by ETH via EigenLayer and EigenDA. On execution, MegaETH now outpaces all so-called high-scalability virtual machines (see below). On data availability, EigenDA already exceeds the capacity of every competing DA solution. When it comes to DeFi security and tooling, the EVM has always been unmatched — as Aave founder Stani Kulechov points out in the video below, via Laura Shin. And on client software, Ethereum leads by a wide margin. No other chain comes close to its level of client diversity — a key factor in decentralization and network resilience. At this point, the EVM and Ethereum stack offer: • The most secure virtual machine with the strongest developer tooling • The most decentralized and verifiable network architecture • The most scalable modular tech stack — across execution, settlement, and data availability — without compromising decentralization Despite cutting corners everywhere, other chains cannot come close to Ethereum on any metric.

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