"I remember reading this exact bug 18 months ago in a @code4rena contest. I cannot, for the life of me find it again." Auditors don't have a search problem. they have a recall problem. Scar fixes that. R@10=0.901 over 232k smart contracts at 114ms. live demo at scarai.xyz.

LI.​FI Intents is live, yes finally! This is a huge huge moment for LI.​FI First things first, big congrats to @jimchang @stabiliseret and the Intents & Solver squad for shipping LI.​FIIntents architecturally, it's hands down the best solution in the market - open, modular, and customizable in every way, built alongside the great teams that contributed to the Open Intents Framework every part of the system is well thought out and built with the different stakeholders in mind over the last few weeks I've personally talked to all the solver teams that are live filling order flow on LI.​FI Intents, and all of them were excited to see how the system plays out - with different elements in place like the reputational system that makes competition fairer between solvers without compromising on reliability or execution quality beyond excited to see how the system performs at scale, with billions in order flow moving through Secondly, LI.​FI Intents is an integral part of LI.​FI's product suite as we push to get more institutions, neobanks and fintech companies to build products onchain the three use cases we're focused on come from customer demand we've heard across current and future clients Stablecoin payments Access to real-world assets Access to compliant liquidity All three are critical for putting crypto into the hands of millions of users, without the UX feeling like 'crypto' at all - they don't need to know the primitives our industry has built can stand on their own merits - technologically superior to anything the world of finance has seen, and more capital efficient than anything traditional rails offer today We don't even need to go into the benefits of blockchain rails like transparency and everything being public - those are the icing on the cake What we've built is better money technology And with LI.​FI Intents, we now have a product our team can push to embed crypto into every financial product in the world Big things ahead, excited to be locked in and building with this team. PS: the Intents launch will forever be remembered internally for this epic shoot we all got to work on together in Crete!

Excited to see my most used day to day companies raised so much🥺 @ExaAILabs @modal Congratulations!

Last 5hrs sprint and human.tech failures wallahi😭

Last day to support @ScarRetreival at @Giveth Every donation goes to open source harness that the security auditing needs. qf.giveth.io/project/scar:-a…

Building the first end-to-end smart contract audit stack where every layer is grounded in retrieval at @ScarRetreival The keystone is SCAR — a sparse code retriever I built that hits R@10 = 0.901 retrieving from a 232k-contract corpus in 114ms. BM25 collapses to 0.308 at that scale. What that unlocks across the stack: Layer 1 (next) — agent harness calls into the tool layer Layer 2 (built) — SCAR reranker context-aware MCP, exposed to any agent (Claude/GPT/Qwen) over MCP Layer 3 (training data built, RL env next) — GRPO with verifiable rewards: the retriever grades the model Layer 4 (next) — Qwen3.6-27B, SFT → GRPO against SCAR The novel bit: SAE-LoRA — low-rank adaptation of Sparse Autoencoder encoder weights. 4.6M params (0.3% of the backbone) turns reconstruction features into retrieval-discriminative ones. 37.6× over the frozen SAE baseline. Weights, training pairs, eval set all open-source.

Instead of celebrating this I'm resolving issues of mates on-boarding to web3. Everything is broken all talks about being *Decentralized* but your entry starts with a centralized exchange giving away your credentials. Imagine getting your first usdt without giving credentials or getting scammed.

Never got the opportunity to work with C4. I mailed them for using their data for @ScarRetreival but never got the revert back. And I don't think thats a case now left, bummer.

Your Jumper Pass unlocks up to 65% travel discounts and cashbacks. You also earn extra XP for booking stays on Jumper Travel. Book and earn XP: jumper.xyz/missions/use-jump…

Smart contract security gets stronger when past findings are easy to reuse. @ScarRetreival by @LifeHodlr is an open-source AI retrieval system that helps auditors and AI tools quickly surface relevant vulnerability precedents from 232,000 real Ethereum contracts. Learn more: youtube.com/watch?v=chQLtMUa… Support: qf.giveth.io/project/scar:-a…

This is important. When you donate, do it to multiple projects. That makes capital allocation more effective and that makes your donation more IMPACTFUL, because it has a unique fingerprint, therefore it gives more signal, therefore it counts more.

AI × Web3 School 正式开放报名 🔥 这是一个免费的线上共学营 Hackathon，面向想系统进入 AI × Web3 方向的 builder。 我们会围绕 AI Agent、链上支付、Agent Wallet、安全执行、隐私与可验证协作等方向，帮助参与者从学习、讨论、组队，一路推进到 Demo / MVP。 如果你想系统进入 AI × Web3 这个交叉方向，并在一个月内完成一次从学习到实践的完整过程，欢迎报名参加。 🧵

UX is still so much broken in web3 or I'm not updated with current meta? Ex-Classmates got excited that I'm launching my research into a product and they wanna donate for the cause but cex->p2p->wallet->verify->donate. Onchain ramping is so much broken with absurd quotes.

There are 134 projects GREAT projects in this QF round... which makes it REALLY hard to pick your faves. So @giveth made a cheat sheet for your LLM! It will update every 2 hours: qf.giveth.io/llms.txt

been heads-down on this for 5 months. The SCAR technical report is out on the project handle. R@10 = 0.90 over 232k Ethereum contracts (BM25 collapses to 0.31). 47× faster latency. SAE-LoRA, 4.6M added params. Paper soon on Arxiv! Full ablations EVMBench validation in the thread. @ScarRetreival 👇

TECHNICAL REPORT — TL;DR Every AI audit tool launching in 2026 has the same hidden weakness. They reason about code without grounding in actual audit precedent. No retrieval substrate underneath. SCAR is that substrate. Retrieving over 232,000 Ethereum smart contracts: BM25 collapses. R@10 = 0.31 SCAR holds. R@10 = 0.90 Same hardware SCAR is 47× faster (114ms vs 5,433ms). The missing layer underneath every audit AI👇