Introducing Monad Blitz World, an archive for every Monad Blitz We at @B__Harvest hosted it twice in Seoul and we’re back on Nov 15. It’s now running across India, China, Thailand, Türkiye, Japan, and Nigeria. Great ideas appear, and too often vanish into the timeline. I’m not a frontend engineer, but over Chuseok & Hangeul Day, I hacked an archive together with GPT/Codex. monadblitz.world Huge thanks to Elton (@spicytaco) for the dataset and for always supporting for Blitz Seoul. Feedback welcome, especially from @monad_dev.

Fast and scalable private payments. Now available on your favorite blockchain. Introducing Bonsai, @commonwarexyz’s new protocol for efficient encrypted transfers (hidden balances, amounts, and recipients) with no global nullifier set.

i trained a computer vision model to train me at tennis it tracks ball speed, forehand vs backhand strokes, shot placement, body position when i strike the ball how this works: - input video from an iphone - CV pipeline orchestrated with roboflow agent: data labelling using Astra 6, detection done with a fine-tuned RF-DETR model - video annotation using python + openCV goal is to make an app that records each practice session, tracks progress over time, and gives feedback on improving my technique more to come!

Tokenized equities are one of the fastest-growing RWA categories. @Securitize moves them onchain natively with RedStone as the data layer.

ESTO ES ORO PURO SpaceXAI acaba de publicar un manual de 3 páginas para convertir Grok Bot en un equipo de IA que trabaja 24/7 El cambio es simple: En vez de darle tareas a un solo Bot una por una, construyes un Chief + equipos de especialistas que se encargan de workflows completos Aquí tienes el playbook de Grok Bot en 7 pasos: Paso 1: modelo mental Un único pc en la nube, múltiples pantallas de Bots, archivos compartidos, sesiones del navegador, credenciales y /workspace funcionando por debajo Paso 2: orden de configuración Crea primero el Chief. No hace el trabajo, enruta → delega → supervisa los handoffs → recopila resultados → escala cuando es necesario Paso 3: bus interno Deja de pasar contexto importante por el chat. La investigación, borradores, evidencias, decisiones y handoffs viven dentro de /workspace, para que cualquier Bot pueda continuar exactamente donde lo dejó otro Paso 4: equipos de especialistas Divide contenido, inteligencia, operaciones, investigación y coding entre distintos Bots mientras un único Chief coordina todo Paso 5: automatización Cada workflow serio tiene 3 puertas: source gate → evidence gate → action gate. Los Bots siguen trabajando hasta que realmente necesitan aprobación humana Paso 6: capa de confianza Deja que los Bots investiguen, redacten, resuman, reconcilien, verifiquen y preparen acciones de forma autónoma. Los humanos solo intervienen para dinero, publicaciones, eliminaciones, firmas y acciones externas irreversibles Paso 7: lecciones caras Hacer polling constantemente quema la cuota, sincronizarlo todo desperdicia uso, los malos reintentos pueden duplicar acciones, los sistemas internos no documentados terminan rompiéndose y añadir demasiados Bots puede hacer que todo vaya más lento Resultado: Grok Bot deja de ser un simple chatbot y se convierte en un equipo de IA 24/7: → Cada workflow tiene un responsable → Cada handoff deja evidencia → Y los humanos solo intervienen cuando hace falta criterio o aprobación Lee esto antes de crear otro Grok Bot El manual reúne las 18 reglas y todo lo necesario para montar un sistema multiagente: arquitectura, handoffs, aprobaciones y automatización Guárdalo y construye tu propio equipo de Grok Bots con el artículo de abajo👇

今晚别刷Netflix了。 去看这个SpaceX AI工程师1小时的课程。 这是我见过最清晰、端到端讲透GrokBot到底该怎么真正用起来的课。 从单agent开始，一路到loop、graph、多智能体协作、verification和agent-friendly架构。 不管你是从没认真跑过agent，还是已经天天在用GrokBot，看完都会把很多“原来如此”的点一次打通。 真正核心就这几层： 1. 99%的人只用1个agent，没用loop和graph，只发挥了1%实力 2. 真正的新stack是Chief of Staff + PM + 20+ workers全自主团队 3. 怎么用高质量skills让agent像真工程师一样干活（pstack） 4. 怎么把代码和架构改成agent-friendly（Dune、contract、CI） 5. 怎么用verification让自己真正敢把活交给它们，而不是一直盯着 大多数人花好几个月才拼出的全景图，这节课直接给你画完。 把时间空出来，这可能是你这个月最值的一堂课。

NEW: South Korea's Financial Services Commission unveils a three-stage plan to tokenize all securities, starting with private bonds and funds for institutions in February 2027, expanding to public equities and stablecoin settlement.

1/ Privy wallets can now connect directly to the banking system. Move money from bank accounts into stablecoins and Privy wallets, then back out to bank accounts, directly through our APIs. Fiat deposits and payouts are live, with orchestration powered by @stablecoin.

A million TPS isn’t cool. You know what is? A billion TPS. Meet Bajillion, @commonwarexyz’s new optimistic clearing protocol for (free) internet-scale payments. commonware.xyz/blogs/clearin…

Google lanzó la herramienta que todo desarrollador pedía desde hace años. Se llama CodeWiki. Pegas cualquier repositorio y la IA lo convierte automáticamente en una documentación interactiva. No solo resume el código: • Genera diagramas automáticamente • Explica cómo funciona cada parte • Crea tutoriales paso a paso • Detecta arquitectura y dependencias • Y hasta monta un chatbot que entiende tu código completo Básicamente: convierte proyectos imposibles de entender en algo que cualquier desarrollador puede navegar en minutos. Enlace abajo👇

Great to welcome Altus to the Ethereum Korea Consortium 🇰🇷 Institutional adoption of Ethereum requires more than interest. It requires infrastructure that financial institutions can actually deploy and operate. Glad to have another strong institutional infrastructure builder joining EKC as we continue bridging Korea’s financial sector with Ethereum.

최근 기고한 글이 이데일리에 실렸습니다. 스테이블코인을 둘러싼 논의가 활발해지는 지금, 한 번쯤 짚어보고 싶었던 이야기를 담았습니다. 디지털 자산 시장 구조를 정리하기 위한 클래리티 액트(Clarity Act) 논의가 본격화되고 있습니다. 국내에서도 원화 스테이블코인 발행 법안이 점점 가까워지고 있고요. 그러다 보니 "누가" "언제" 스테이블코인을 "발행"하느냐에 관심이 집중되고 있습니다. 하지만 발행은 시작일 뿐, 그 이상도 이하도 아닙니다. 정작 중요한 질문은 따로 있습니다. 이 자산들이 어느 네트워크에서 유통될 것인가, 어떤 애플리케이션에서 쓰일 것인가, 서로 다른 체인과 금융 서비스 사이를 어떻게 이동하고 결제될 것인가입니다. 체인 관점에서도 마찬가지입니다. 어떤 서비스가 지속가능하게 운영되고, 생태계 파트너와 유저에게 의미 있는 가치를 꾸준히 제공할 수 있느냐가 핵심입니다. 그래야 스테이블코인은 물론 예금토큰, 토큰화 펀드, 주식 같은 실물 자산 기반 상품들이 신규 체인과 시너지를 낼 수 있습니다. 신규 백화점이 문을 열었다고 곧바로 사람들이 몰리지는 않습니다. 스타벅스나 블루보틀 같은 핵심 브랜드가 입점해야 비로소 방문할 이유가 생깁니다. 블록체인도 다르지 않습니다. 체인이 활성화되려면 사용자가 실제로 쓰고 싶은 스테이블코인, 토큰화 자산, 디파이 유동성이 들어와야 합니다. 레이어제로는 현존하는 스테이블코인의 50% 이상을 170개 넘는 체인에서 동일한 유동성으로 유지하며, 파편화 없이 자산 유통과 체인 성장을 이끌어오고 있습니다. 최근 화제가 된 '로빈후드 체인(Robinhood Chain)' 역시 대부분 레이어제로의 OFT 규격을 활용해 토큰화 주식 상품을 온보딩하고 있습니다. 자산 발행사든 체인 운영자든, 레이어제로의 OFT 표준은 이러한 핵심 자산이 어느 네트워크에 입점하고, 어떻게 유통되고, 어디서 활용되는지를 결정하는 중요한 인프라로 자리 잡고 있습니다. 전문은 아래 링크에서 확인하실 수 있습니다.

Exciting times!

Multimmit: The New State-of-the-Art for Global, Fast, and Scalable Consensus For the first time (including DAGs), the fastest path for finality isn't reserved for the leader (or anchor). All data broadcast concurrently by validators can finalize in 2δ (optimal for 5f+1).

Banks have three main options for tokenized money: tokenized deposits, their own stablecoin, or third-party stablecoins. In our new research report "Tokenized Money for Banks" we look at what each option means for reach, liquidity, and the bank’s balance sheet.

One pattern I find useful for working with LLMs is a nice long ramble session. Sometimes the LLM needs more bits to understand what you're trying to achieve, but you're too lazy to type them. In these cases I like to lean back, switch to /voice and just ramble for like 10 minutes, total mess, anything goes, full stream of consciousness. Sometimes I declare it up top, something like "switching to speech recognition sorry for any typos...". Sometimes I turn it into a small interview of a few turns. But I find that the LLMs are somehow very good at reconstructing long incoherent rambles and often their echo of your own tangle of thoughts comes out quite a bit cleaner than what you started with. The result is that you improve the mind meld and have to correct things less from that point on.

Today, we hosted the Ethereum Korea Policy Roundtable with the Ethereum Foundation Policy team @adrianmcli , Optimism @kylejenke @curtohh , and leaders from Korean financial institutions, infrastructure providers, legal experts, and the broader Ethereum ecosystem. As institutional adoption accelerates around stablecoins, tokenization, and onchain finance, we believe open dialogue between policymakers, institutions, and the Ethereum ecosystem has never been more important. Thanks to everyone who joined. Coverage : zdnet.co.kr/view/?no=2026072…

The evals and analysis are open source and we would love to collaborate and learn from others who are on the frontier of coding evals with @harborframework 🧑‍🔬 github.com/tempoxyz/tempo-ev…

🇬🇧 NEW: BlackRock, Goldman Sachs, JPMorgan, Morgan Stanley, Ripple, and 49 other firms have joined the UK’s tokenization taskforce to develop live tokenization use cases across financial markets.

Introducing Receive Policies On most blockchains, any token can be sent to any account: There's no easy way to restrict who can send you assets or refuse an unwanted token. Receive policies bring these features to Tempo, enforced by the protocol.