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Delivered. Left On Delivered ($LOND) — Left On Delivered is a mascot for the universal ache of the double-check mark that never turns to 'seen.' No app, no dashboard — just a character and an open invitation to remix it. Live now.

为什么 Bitget 今天遭遇安全事件后，会有超过百位 KOL 自发声援，币安、Bybit、MEXC 等多家交易所高层也公开发推支持？ 1. 创新 Bitget 本身就是一家敢于创新的交易所。2025 年率先提出并落地 UEX（Universal Exchange）全景交易所，随后上线美股代币和美股合约。进入 2026 年，美股和 TradFi 也成了多家头部交易所重点布局的方向。 2. 口碑 2024 年 10 月 7 日， $BGB 价格闪崩。平台币出现这种事故，对任何交易所都是一次考验。Bitget 在 24 小时内公布全额赔付方案，在 72 小时内完成赔付。 2026 年 8 月 9 日， $TUT、龙虾 $LOBSTER 和 $BICO 合约出现异常价格波动，导致部分空头仓位被强制平仓。Bitget 随后启动赔付，据公开报道，赔付规模约为 4000 万美元。 3. 高效 从家印入职第一天开始，他就把“今日事今日毕”当作工作准则。对他来说，明天不是区块链的节奏，今天的问题就要今天处理。 4. 种善因，得善果 2025 年 Bybit 被盗约 14.6 亿美元后，据 Ben Zhou 后来回忆，Bitget 是第一个出手帮助的交易所。Bitget 向 Bybit 转入 4 万枚 ETH，当时价值约 1.05 亿美元，而且没有要求抵押，也没有收取利息。 5. 人格魅力 家印一直把 Bitget 当成自己的事业，CEO Gracy 也是。安全事件发生后，两人第一时间投入处理，持续发推、回复用户，几乎连轴转。Bitget 还承诺每小时更新一次进展，持续安抚用户并更新进展。 站在一个普通人的立场，发生这样的事情肯定非常痛心，这也属于难以预料的突发事件。我觉得，在力所能及的情况下，出于人道主义考虑，只要自己的资金安全，就应当向 Bitget 伸出援手。@Bitgetyaya @Bitget_zh @xiejiayinBitget @GracyBitget

📢 Responses API Major Upgrade: Universal Upstream Protocol Support & Plug-and-Play for New Models! Existing models on that support the Responses API upstream can now be called via the unified /v1/responses endpoint. When adds support for new models from currently integrated vendors in the future, developers can automatically access them in the Codex client with zero extra configuration! 🔸 Official API Group: Added support for MiMo, Qwen, and Hunyuan model series. 🔸 Mix & OL Station Provider 40% OFF Groups: Added support for OpenAI, Gemini, and Grok model series. 📊 Check out the poster below for the full list of supported models 👇 Simply configure your API Key and Base URL to bring the powerful reasoning, coding, and text processing capabilities of leading models seamlessly into your daily workflow, flexibly meeting a wide range of needs. 👉 Try it now: 📚 More details:

A note on recursive STARK mempools (EIP-8288) This is an EIP that I am hoping we can get included in I-star (the fork after Hegota) that you can think of as the next step after Frames, that would unlock extreme amounts of power. Particularly: * Ultra-cheap quantum-safe signatures (SPHINCS-). Much of the cost savings comes from the fact that the signature data (~3 kB) does not have to go onchain * Ultra-cheap quantum-safe privacy protocols. Status quo minimum cost for private txs is ~300k if you engineer very well (no one does), status quo quantum-safe is ~10M gas, this could reduce it to low tens of thousands. * Universal support for your favorite new signature or proof scheme without needing EVM changes. Whatever you use (Falcon, ML-DSA, some other lattice-based thing, something code-based or isogeny-based or even more esoteric), you can just wrap it client-side in a STARK, onchain gas cost low tens of thousands just like privacy protocols. Hopefully, Ethereum will never need "please support my favorite cryptographic algo" politics again. * Private account abstraction: keep your account logic private, and in a private location onchain. Then you can make one transaction to change the ownership of all your onchain state - accounts, defi positions, privacy protocol notes, everything - without revealing which objects' ownership you're changing. Here's how it works. Your transaction can include a type of frame that we call a "dependency frame". The frame is a list of statements, asserting claims like "message hash M was signed by SPHINCS- public key P" and "data hash D was proven to satisfy a statement defined by verification key V". When you send your transaction, you send it in an envelope, which includes a signature or a STARK for each statement in a dependency frame. Once the transaction reaches the mempool, nodes aggregate them. Each node runs a loop: wait one tick (eg. 500ms), aggregate all new envelopes (either single-tx or multi-tx) that you've seen, remove any transactions that are expired, generate a STARK recursively proving all dependencies, and send a new multi-tx envelope containing that STARK. Hence, the bandwidth load is bounded: each node's outbound is one STARK (~100-300 kB) per tick, plus each transaction getting broadcasted through the network once (as happens already). The block builder acts as "yet another mempool node", receiving envelopes from the mempool (plus any side channels), generates its own STARK covering the subset of transactions it intends to include in the block, and adds that STARK to the block. Total onchain overhead: one STARK (100-300 kB), plus 96 bytes for each statement being proven. This is what I've called before ( ) "The Proof Singularity". Today, we have all the ingredients to actually implement it. As a developer, this requires a somewhat different workflow than you are used to, but it is conceptually simple. Any signatures or STARKs, you put into a separate frame. Then the main logic that today is verifying a signature or STARK, you replace with checking for the existence of a frame that includes the correct statement as a dependency. Examples of useful statements: * [tx sighash] verifies against [the pubkey at sload(0)] * there exists a secret and a merkle branch such that hashing secret+0 and applying the merkle branch outputs (public) root R, and hashing secret+1 outputs (public) nullifier N * there exists a secret address A, salt S and signature Z such that sload(0) = hash(A, S) and a merkle proof of address A inside a recent ethereum state contains some pubkey D where [tx sighash] was signed by D [this is private account abstraction; all variables except [tx sighash] and sload(0) are private; you can also make D a STARK verification key] * there exists an ML-DSA signature signing [tx sighash], that verifies against an ML-DSA pubkey whose hash is sload(0) At the core, this is moving any compute and data other than bookkeeping "business logic" outside the core path of Ethereum execution, sharding and parallelizing it via the mempool. Notice also that this requires agreeing on a _language_ (aka. an ISA) for the recursive STARKs to define statements in. The current leading candidate is RISC-V. So this would also de-facto be Ethereum adding RISC-V (or something else we decide on) as a canonical ISA - a big decision that should be done carefully, but that I think will be necessary to drive Ethereum forward.

La ministra Sandra Pettovello firmó un convenio entre Capital Humano, ENACOM y STARLINK para conectar escuelas rurales y comunidades aisladas. La empresa Starlink instalará 6.000 kits para proporcionar internet fiable y de alta velocidad a colegios rurales y zonas aisladas de todo el país. La iniciativa forma parte del proyecto “Conectividad Satelital en Establecimientos Educativos de Gestión Pública de la República Argentina”, que se enmarca en el Programa de Conectividad de Interés Público de ENACOM, destinado a lograr la inclusión digital universal en los ámbitos de la educación, la salud y la seguridad. @JMilei

A few hurdles have to be cleared before on-chain trading of tokenized assets becomes universally accepted. So where are we right now? Martin de Rijke, Head of Commercial at @maplefinance, puts it this way: "Think of it like the first car on the road. Someone's uncle's uncle's uncle owns one, and everyone else is still watching" Where the rest of the market thinks we are:

Proof of Alpha Network: A Reputation Layer for Market Opinions Most social platforms measure attention through followers, impressions, likes, and reposts. These signals show who commands an audience, but they do not answer the question that matters most: Who has demonstrated repeatable market insight? Proof of Alpha Network introduces a reputation layer for public market opinions. It converts unstructured commentary into timestamped, testable records containing the relevant asset, direction, time horizon, and clarity of the original call. Each opinion is then evaluated against what subsequently happened in the market. This creates an inspectable history of the call, its outcome, and the evidence used to assess it. Reputation is not reduced to a single universal score. A source may demonstrate strong insight into Bitcoin while performing poorly in equities. Someone may excel at long-term macro analysis but struggle with short-term market timing. Proof of Alpha therefore builds contextual reputation across assets, time horizons, market regimes, and consistency. These relationships form an opinion graph connecting people, opinions, assets, events, and outcomes. At its core is the Alpha Oracle, an ensemble system in which multiple independent AI models evaluate the same source material. Their weighted agreement determines whether an opinion record can be committed automatically, requires further refinement, or should be excluded when the evidence remains too ambiguous. The resulting network continuously updates through the evolving loop: Opinion → Outcome → Reputation → Trust → Conviction The same structured records can also serve AI agents. By converting fragmented market discourse into a shared format, Proof of Alpha allows information to move across an agent network without every agent repeatedly interpreting the original content. Proof of Alpha doesn’t replace judgment or predict future returns. Instead, it makes the historical evidence behind market credibility visible. Markets have always priced assets. Proof of Alpha begins pricing credibility.

I used Grok 4.6 to build a 2D agent simulation of The Office. Here are notes and observations on 4.6: It is a huge step up from 4.5 - both in the quality of visual outputs and in the breadth of work: personality, features, and finding usable assets for this project. The editorial content and writing were good - I like the "feel" of this model. One of the biggest wins for 4.6 is speed. The throughput (~80 tok/s) and latency are so good that it feels Composer-adjacent - something @ericzakariasson called out in his writeup. That speed + cost + performance makes for a true "workhorse" model that's practical for both personal and work use. My goal was to simulate The Office through "agents" that behaved like the characters - including all of the neuroticism and idiosyncrasies that made the show so funny. I knew what I wanted artistically - I've built similar 2D apps with pixel art. I asked Grok 4.6 to research psychological modeling, pull character descriptions, find references for the cast, and assemble 2D sprites with the Universal LPC sprite sheet generator and some RPG tilesets I grabbed online. I rattled a brief into the @cursor_ai mobile app late one night at the Cursor office and woke up to an MVP. Then I spent a day or so spamming cloud agents until the simulation worked how I liked. The cool part is that Grok did the simulation, art, and research on its own: - Every couple of minutes, each person scores a few possible actions and picks one. They pathfind around desks, work, grab coffee, talk at the cooler, hide in the annex, or end up in a meeting. - Click someone and you can inspect traits, needs, mood, relationships, and whatever they're doing right now. You can also speed time up, force Michael to call a meeting, or roll a random office event. - Each character has Big Five scores that bias what they tend to do. Needs like work, social, caffeine, status, and comfort rise over time and fall when they do something about them. - Grok reconstructed the layout from Dunderpedia (Office Wiki) and online sources - Michael's office and the conference room on the north glass, Pam at reception, sales and accounting in the bullpen, the annex to the east, restrooms and the warehouse down the stairs. - Grok helped me find a few sprite sheet packs to implement. I was surprised at how accurate some of the character sprites were - from hair color to clothing. The combination of a performant model, cloud workspaces, and high throughput made for a really fun devex - the amazing folks at @cursor_ai and @SpaceXAI make my job easier everyday. A huge shout-out to @_Brian_Zhang, whose Notion hackathon project inspired this exploration.

Most Americans don’t understand what socialism is. It’s not universal healthcare. It’s not affordable housing. It’s not what Nordic countries do. Confusion is making socialism appeal to those who never lived it. People who have, reject it.

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