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The Manual, page 3: building a basket. Pick up to 18 assets: majors, xStocks, memecoins. Set the weights. Seed its liquidity with 10+ SOL, matched in its basket token. It starts as New, with a 7-day lock countdown. The day a coin on it graduates, it becomes Verified.

One step closer to 4-8x faster Ethereum finality! It took some time and lots of tokens, but we now have a formally verified proposal for a decoupled consensus protocol in I* (a future Ethereum upgrade)! Not yet a full spec (up next), but it includes all the key consensus-relevant details to become one. Since Ethereum aspires to be live without most of the stake online, the protocol involves many more components than a normal BFT protocol, and its correctness involves much more than standard safety and liveness. Those nuanced properties are now verified! What's more, I came away convinced that all protocol design will involve AI-assisted Formal Verification in the future, both for correctness and iteration speed. The work wasn't limited to just: Design the protocol -> Formally verify it Instead, the loop became more like: Design -> Formal Model -> Find exactly what breaks and why -> Redesign it. For a fairly complicated protocol like this one, I think having the Lean model be part of the design loop played a big role in accelerating the process. A future with agents paired with formal models is a superpower for Ethereum development, because they can then use those models to find exactly where an argument breaks down, formalize counterexamples, test proposed fixes, iterate on the protocol. Many details that would slip under the radar when asking agents (and indeed, humans) can now be specified exactly and checked by the Lean kernel. This then forces agents to be more precise and lets them make verifiable progress on their own. It's been incredible to see this play out, seeing agents find gaps and propose protocol changes to fix them. In other words, autoresearch can speed up protocol design, formal verification is here to stay, and Ethereum Finality will get faster.

𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗧 𝗨𝗣𝗗𝗔𝗧𝗘𝗦: The withdrawal plan will be announced by September 26th, 4:00 AM UTC. We appreciate your patience on this matter. Based on the latest onchain tracing and classification of transactions, assets equivalent to approximately $387.5 million were transferred to attacker-controlled addresses across multiple networks. The revised figure reflects a more complete accounting of transfers that occurred during the incident, adding affected assets on Zcash and TRON that were not included in the initial estimate. It does not reflect further unauthorized transfers. The incident remains contained and no further unauthorized transfers are possible. The incident involved assets across Ethereum and several EVM networks, XRP Ledger, Zcash and TRON. The primary attacker-controlled receiving addresses identified to date are: → EVM: 0x770b10b273fc44fe9197d6bf20f145c2e98463ee → XRP: rwNhefsz1UQEusxhCvHip3RANinWi4CTck → ZEC: t1WgMdtND8NF7NDUuYmq8MpMj1NTCXkMDVG → TRON: TBWNguTTgezw9dVorX441C6nDrZpRxYwKD The confirmed affected assets include XRP, ETH, USDT, ZEC, USDC, USDT0, XAUt, BNB, AVAX and TRX. Our investigation and tracing efforts remain ongoing. The figures above reflect information confirmed at the time of publication and may be updated as additional transactions are classified and traced. The incident remains contained, with no further unauthorized transfers since the incident was contained, and the investigation with Mandiant and SlowMist remains ongoing Withdrawals remain temporarily paused while additional security checks and remediation are underway. Bitget will continue to provide verified updates on the investigation, asset recovery, withdrawal restoration and the User Protection Fund through its official channels. 𝘍𝘰𝘳 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘱𝘶𝘳𝘱𝘰𝘴𝘦𝘴 𝘰𝘯𝘭𝘺.

Opus 5.5 designing LEGO 👀 I asked it to design a Microduck I can build with real LEGO pieces. It: > designed it life-size using 1113 real LEGO parts > verified: 3,204 connections, 0 collisions, every step buildable, centre of mass inside the feet 🤯 > made a 141-page LEGO-style booklet (237 steps) > priced every piece in the browser and prepared the orders on BrickLink

I use Grok Bot. Neuralink patient 3. ALS. Full quad. Nonverbal. I type with intention, not hands. Grok Bot is how a lot of that intention leaves the house. Paste a YouTube link and it watches enough to know who is in it, drafts two longer promo posts — X and Facebook — in my voice. No hashtags. X gets verified @ tags later in the body, never leading. Facebook names people in plain text. It shows both drafts and waits. I say yes. It posts X as @ALScyborg from a signed-in session. Facebook goes on my Mac clipboard when that path is blocked. I still approve every public post. Judgment stays mine. It also owns the Tuesday Holy War day-count. Days since Utah last beat BYU. Trash talk. Tags. Sometimes an image. Auto-post at 5:21pm Phoenix time. If X is down or suspended, it tells me and pauses. No silent failures. This is not “AI wrote a cute caption.” This is an assistant that drafts, waits, posts, retries Unsent drafts when the Post button hangs, and keeps a standing ritual alive while I am busy living. The bottleneck used to be hands. Now it is judgment — and I still own that. If you are waiting for permission to let software carry weight, the weight is already moving.

I am told the Hodge Conjecture is very close to being verified by OpenAI, and that one of OpenAI or Anthropic are also close to solving Birch-Swinnerton-Dyer. The race to be 'next' behind the scenes is unlike anything I've had described to me before If true - and it may not be, given the scale of the rumour mill right now - it could mean 3 Millennium Problems fall in the space of a month. Crazy times

graph engineer vs loop engineer : 不是替代，是嵌套。Loop 是最小的 Graph（单节点自环）；Graph 里每个干活的节点内部仍在跑自己的 Loop。"Loop Engineering is dead" 是 Hame‍l Husain 的反讽炒作。完整递进链：Prompt → Context → Harness → Loop → Graph，每层向外包一层。 多 Agent 不是必然更好。《Nature Machine Intelligence》2026 年研究（260 种配置）：可拆分的金融任务多 Agent 最高 +80.8%；强顺序依赖任务最高 −70%；SWE-bench Verified 上四类多 Agent 架构全部 −1.3%~−12.8%。决定变量是任务可拆分性，不是复杂度。 选型规则（社区共识版）：一个 Agent + 工具 = Loop；多个 Agent + 交接 = Graph。当你在 Loop 里硬塞并行、独立评审、人工审批门时，就是该升级到 Graph 的信号。

Financial work depends on trustworthy sources, consistent definitions, accurate calculations and auditable outputs. Introducing Ling-3.0-flash-Fin, a finance-enhanced version of Ling-3.0-flash, developed with financial institutions and domain experts. With 124B total and 5.1B active parameters, it supports information retrieval, research, valuation modeling and report preparation across long reports, research materials and complex workbooks. The model showed competitive results across FinFIRST, FinSearchComp Verified, FinCRAFT, FinanceAgent v1.1/v2, APEX-Agents, SpreadsheetBench v1/v2 and τ³-Banking. We will open-source the model weights next week.

Fairness shouldn’t be believed. It should be verified. This Friday, join us for Inside Renaiss Fair — a live introduction to verifiable random allocation, powered by RENAISS IMPROVEMENT PROPOSAL （RIP）： Provably Fair Randomness. Renaiss CEO Winchman (@Plus_Ultra_715) and CTO Ben will explain why verifiable fairness matters, walk through how Renaiss Fair works, and demonstrate the full verification process live. The @renaissxyz gacha machine will be the first product to put Renaiss Fair into practice. Following the session, Winchman will present a special award, while Ambassador Mark (@Mark_Memelord) hosts a live card pack opening. Lucky draws will also take place, with full details announced separately. 📅 Friday, 28 August ⏰ 9:00 PM (UTC+8) 📍 Renaiss Discord Set your reminder, bring your questions, and see Renaiss Fair in action.