Wishing you a bright and peaceful Mid-Autumn Festival. 🌕 As the full moon brings people together, AiWork hopes to make work feel a little more connected too — helping teams turn ideas into actions, simplify daily tasks, and create more time for what truly matters. May this season bring you reunion, clarity, and new momentum.

Thrilled to announce AntChainTrustSDK is officially open source! AntChainTrustSDK: A lightweight C99 IoT SDK designed for resource-constrained embedded devices and a multi-cloud, blockchain-connected product direction. The current release implements an AWS IoT Core integration that helps applications collect, sign, and queue device data for cloud workflows via Fleet Provisioning and Shadow updates. Supports Linux (x86/ARM), Android NDK, and SIMCom A7606E-H (OpenWrt + musl). Easily portable to other POSIX-like targets. Dive in 👇 github.com/antgroup/AntChain… #AntChainTrustSDK #AntChain #IoT #AWS #Blockchain #TrustedDevice

AiWork 全新升级了！🎉 把 AI 真正放进了日常工作流里：写方案、做分析、生成文档、研究报告、代码开发、任务协同……很多过去需要来回切换工具、反复沟通推进的事，现在都可以交给 AiWork 跑起来。 AiWork·Code: 从一个需求开始，能一路推进到可验收交付，不只是辅助写代码，而是在补齐工程里的规划、执行、检查和交付能力。 AiWork·Work: 像一个日常办公助手，把资料整理、内容生成、任务协作这些琐碎但耗时间的事接住，让人可以把精力放回判断和决策上。 把繁琐交给 AI，把时间留给你！ aiwork.dtagi.cn

Just accepted to VLDB 2027! We’ve partnered with Tsinghua University (@Tsinghua_Uni) to release AgenticDataBench: a Comprehensive Benchmark for Data Agents. Why does this matter? Because evaluating AI agents shouldn't be a guessing game. We built it on 3 core elements: ✅ Real-world business tasks ✅ Cross-domain data ✅ Fine-grained skill analysis 💡 For enterprises: A scenario-driven baseline to compare agent capabilities. 💡 For devs: Clear diagnostics to fix shortcomings and align with actual production needs. Fully open-source. Ready to test your data agents today? 👇 🔗 agenticdatabench.github.io #DataAgents #AI #VLDB2027 #AgenticDataBench

以前用工具，更多是在“告诉它下一步怎么做”；但 AiWork 不太一样，你说清楚目标之后，自己去拆任务、调工具、跑流程、遇到问题再修正，最后把结果交回来。 一句话可以被拆成很多连续动作，比如理解需求、查资料、写文件、调用工具、做检查，甚至多个 Agent 一起协作。 这才是 AiWork 真正有意思的地方——它把复杂工作变成一条能跑通的任务链。

zkDTVM has become the first zkVM on Ethproofs (@eth_proofs) to achieve real-time proving using just 4 RTX 5090 GPUs. 99% of proofs <10s with an average proving time of 4.6s. Proof size remains under 300 KB while maintaining 128-bit security. zkDTVM will be open-sourced soon. We look forward to the community embracing and leveraging it.

AiWork是什么？ 我们来听听运营、前端、后端研发、产品经理说些什么。

Our zkDTVM v0.8.0 8-GPU prover is now live on Ethproofs (@eth_proofs). 🔹 99% proving < 6.1s 🔹 Avg proving time: 3.0s 🔹 Security: 128-bit (UDR+JBR) 🔹 Proof size < 300 KB Fully meets the Ethereum RTP standard！ #ZK #zkEVM #EthProofs #ETH

We are building the full-stack infrastructure for the next generation of Web3 & AI — and we have just taken a major step forward. Our agentic coding and work tool AiWork will empower more enterprises to boost productivity with more efficient coding and working. Ecosystem by AntChain OpenLabs & Ant Digital Technologies: 1️⃣ Core Infrastructure - The bedrock of performance and security. DTVM / zkDTVM (Virtual Machines) AntChain BaaS & Bridge Jovay @JovayNetwork (L2 Network) NitrooZK-stwo & ZK GPU Acceleration 2️⃣ AI & Agent Intelligence - Enterprise-grade autonomy and intelligence. AiWork (Agentic Coding & Work) DTClaw (Secure Autonomous Agents) Agentar (Financial Agents) Anvita @AnvitaFlow (TaaS & Flow) LingDT (LLM) SmartCogent (Agent for Smart Contracts) 3️⃣ Products & Services - Bridging the digital and physical world. TopNod @Top_nod (Wallet) ZOLOZ (Digital Identity) Look-to-Pay (AI Glasses) & Physical Asset On-Chain ZAN @zan_team (Node Service & ZAN Router & ZK Acceleration & Smart Contract Audit) A massive ecosystem driving innovation — building the foundation for what’s next. #Web3 #AI #ZK #Blockchain #AntChain #Developer

感谢大家一路支持 DTCoder，反馈量真的超出想象。🙏 接下来，我们将解锁 CoWork 能力——让 AI 从“写代码”进化到“协同工作”。 为此，我们正式宣布：DTCoder 升级为 AiWork。 AiWork：智能工作，从此简单。 名字变了，初心不变：让每一次交付，都生产级就绪。🚀 🔗 国际站点：dtcoder.ai/en/home 🔗 中国站点：dtcoder.antdigital.com/home

How to run loop engineering across the full development lifecycle? We propose a three-layer agentic workflow framework centered on the critical challenge of rule codification: 🔹 Unify the general development process to ensure alignment and baseline execution across all projects. 🔹Distill project rules from Agent coding sessions, leveraging hook mechanisms as the binding agent. 🔹 Close the loop spanning Process → Artifacts → Rules → Automation. openlabs-intl.antdigital.com… #AICoding #LoopEngineering

When AI Coding Goes Deep into the Development Process, the Hardest Part Isn't Writing Code. This post provides a brief overview of the real-world AI coding engineering practices adopted by engineers at AntChain OpenLabs. 🔗 openlabs-intl.antdigital.com… Chinese 🔗: mp.weixin.qq.com/s/N3BYiZhIq…

zkDTVM v0.6.3 is live on Ethproofs (@eth_proofs). This release delivers significant improvements over v0.6.2: 🔹200ms reduction in proving time 🔹90KB reduction in proof size Stay tuned for the next version, which aims to achieve 128-bit security with a proof size of just 280KB. openlabs-intl.antdigital.com… #zkEVM #zkVM #EthProofs

Update on Jovay: We’re pushing transaction latency down to ~100ms. Impact: Inheriting L1 security while enabling high-performance L2 scalability. This breaks the Blockchain Trilemma and unlocks real-time capacity for CLOB and Web3 Gaming. Architecture blueprint: 1. Speculative Pipelining: Blurring the lines between consensus and execution. Blocks are executed speculatively while consensus is being reached. 2. Temporal Latency Folding: Concurrent multi-block processing to crush block-time gaps. 3. Conflict-Aware Scheduling: Preemptive conflict detection in the mempool for optimal parallel routing.

Our zkDTVM 8-GPU prover is now live on Ethproofs (@eth_proofs). zkDTVM is the world's first zkVM to achieve real-time proving on 8x 5090s: 🔹 99% proving < 7.7s 🔹 Avg proving time: 4.64s 🔹 Security: 100-bit (UDR) 🔹 Proof size < 600 KB Next: Proof size < 300 KB & 128-bit security. #ZK #zkVM #Ethereum #EthProofs #RealTimeProving

zkDTVM v0.6.2 is live on @eth_proofs: Proof size < 600KB while performance remains largely unchanged. Highlights: 🔹Path-Pruned FRI Verification 🔹Template-Clone Parallel Compilation 🔹FRI Early Termination 🔹Batched Witness Reads + Constant Deduplication

Post-quantum signatures are orders of magnitude larger than ECDSA — a dealbreaker for high-throughput blockchains. Our zkDTVM changes that: 4,500 leanXMSS sigs (~5.3 MiB) is compressed into one ZK proof (~577 KiB). Single GPU results: ⚡ 17,857 leanXMSS verifications/sec ⚡ 21× faster than leanVM (CPU prover) ⚡ End-to-end quantum-resistant Next up: SPHINCS+. Full writeup 👇 openlabs-intl.antdigital.com…

Introducing Pangolin: A padding-aware commitment scheme based on Basefold. Instead of materializing repeated padding rows after encoding, Pangolin uses a simple observation: Back-padding in the trace becomes front-padding in the encoded matrix. So the commit path can hash the padding row once and reuse its digest. Same commitment semantics — less prover work: ✅ Store the padding row once ✅ Fewer encoded rows to hash/read ✅ Less prover data and memory traffic ✅ GPU-friendly: less global-memory bandwidth pressure The 5th post in the zkDTVM series: openlabs-intl.antdigital.com…

Last week, zkDTVM proved 100% of Ethereum blocks. Every proof was under 8.8s, with an average time of just 3.1s. Fastest. Most Stable. Most Reliable.

Introducing UniSkip-in-the-Tail: GPU‑native optimization for SumCheck's underutilized tail rounds. Instead of suffering through sequential memory‑bound rounds with shrinking trace height, we consolidate multiple tail variables into a single higher‑degree univariate evaluation. One algebraic construction — zero extra reconciliation phases: ✅ No Phase‑2 protocol (unlike Whirlaway) ✅ k rounds → 1 round via Lagrange bit‑lifting ✅ Alleviates memory bottleneck, boosts GPU resource utilization ✅ GPU‑friendly: parallel finite‑field eval over fixed interpolation domain openlabs-intl.antdigital.com…