⚠️⚠️ All LNbits users should stop their LNbits servers IMMEDIATELY. ⚠️⚠️ Please forward this announcement. Following a wave of attacks, we have a number of security patches to push. Until then, it's better to err on the side of caution. 🙏 Updates to follow soon.

A few friends asked what I'm looking for. Here is my short answer: privacy, post-quantum. - privacy, institutions can adopt - cryptography, quantum computers can't break Most of what gets built on top of crypto in the next cycle depends on both. This is my target for EASY Residency S5 @EASYResidency

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We're always hiring! For those top talents, Im willing to fly to your country for a talk. Also, 1 eth for every talent you referred successfully to our team. 我们一直在招聘，如果你足够优秀，我可以飞往你的城市和你面谈. 欢迎向我推荐身边的人才，成功入职1eth感谢

Every stablecoin thesis stops at the dollar. That's the half that already works. We backed @ViFi_Labs @tonyolendo @varounsvlogs in ER S4 for the other half. Moving dollars into an emerging market is solved. Getting out of them isn't. That leg still runs through desks that pre-fund inventory, quote by hand and rebalance daily, and the cost of all that carry sits in a spread the end user never sees. It hasn't moved onchain because every pool design on offer asks someone to sit on the weak side of the trade. Nobody wants to warehouse a currency that bleeds while they wait to be traded out of it. So liquidity never forms, and the desks keep the spread. ViFi's insight is that most of the trade was never in dispute. The gap between the official rate and the real one is the only thing anyone actually disagrees about. Price that alone, anchor the rest, and a market maker can quote depth in naira without ever holding naira. What convinced us: • The mechanism design changes who carries the risk, which is the only thing that has ever gated this market. • The counterparties are the issuers themselves. Licensed local stablecoin issuers want to seed liquidity in their own currencies, and they've committed to nine figures of monthly flow before the thing is even live. A distribution structure. • They were already doing this by hand. Tony and Varoun live in these markets and have been market-making them manually. The design reads like it came from people who got tired of their own workaround. The dollar leg went onchain years ago. Everything on the other side of it is still waiting.

Proud to back @De1_ai in ER S4 Almost every trading agent shipping today was trained on a market that doesn't exist. Backtests and simulated order books don't push back. Offline winners get taken apart the moment real capital is on the line. De¹ closes that loop. Intent routes across 1,000+ liquidity sources on 40+ chains, and every real fill comes back as a verifiable reward label that trains the model that produced it. Execution quality and market understanding improve together. That's the Financial World Model. Three things we underwrite: - The dataset can't be bought. $40B+ lifetime volume, 3.1M contributors. Live execution data is the one training set you only earn by sitting in the flow. - One physics engine, many worlds. The same substrate specializes into perps, prediction markets, tokenized assets, lending, stablecoin corridors. Every world feeds the base. - Contributors own it. Privacy-preserving training lets traders and institutions add signal without leaking strategy, and records them as owners of the intelligence they help build. Timing is the whole point. bStocks is making assets programmable. Agent OS is giving agents hands. What's missing is something that learns from consequences. From ZERO to DE ONE

The hard part isn't building trading agents. It's knowing which ones to trust. Excited to back @roostooAI in ER S4. Anyone can launch an AI trading agent now. Almost nobody can tell you which ones are good. Backtests are marketing, and the only honest test is out-of-sample performance in a live, adversarial market. Today the only way to run that test is to hand the agent real money and hope. @roostooAI is building the qualification layer in between. Agent Factory turns a strategy into an RL-trained agent without writing code. The Arena runs it against live market data alongside human traders and rival agents, ranked continuously on a leaderboard. Agents earn trust through performance before they earn capital, then graduate to DEXs and vaults. What convinced us: - Track record becomes the scarce asset. When agents are free to spin up, the bottleneck moves to credible evaluation. Whoever owns the ranking owns the allocation decision. - Failure should be cheap. Paper trading is the right place for a strategy to break. Roostoo makes that the default path to live capital instead of the step everyone skips. - The distribution already exists. Roostoo has run competitions with 300+ partners, from Jane Street, Optiver, IMC and Flow Traders to Imperial, NUS, HKUST and IIT Delhi. A standing pipeline of quant talent already competing inside their environment, and every competition produces labeled performance data. Agents are getting hands. What they still need is a reason to be trusted with the wallet. Prove it in the arena first.