🇭🇰 The Scaling Summit HK 2026 | Co-hosts Host: @499_DAO × City University of Hong Kong Co-host: @0G_labs × OpenSchool x IDM of CityU Special Partner: @BAI_AGI x @hetu_protoco A huge thank you to our Co-host @0G_labs for their incredible support! Together with @499DAO, we’ve built a comprehensive loop of interaction that bridges infrastructure and innovation. 0G Co-founder Michael (@michaelh_0g) shared visionary insights during our session on "The Hyper-Scale Pipeline," discussing the essential decentralized infrastructure needed to support the massive scale of future AI agents. Beyond the stage, the 0G team led a focused closed-door workshop with 30 core developers, detailing how to build on their network and highlighting the 0G Grant Program to empower early-stage builders. Furthermore, 0G Head of APAC Jt (@Jtsong2) served as a key judge for our Demo Day, evaluating 8 exceptional AI projects and helping select the top 3 winners. From high-level strategy to hands-on developer support, we are grateful for 0G’s deep commitment to the ecosystem. We look forward to a long and successful partnership between 499 and 0G! #Web3# #AI# #0GLabs# #HouseofAI#

Over the past week, #BloombergHouse# became a hub for leaders seeking clarity through data as priorities for the year ahead take shape. From headline speakers to interactive roundtables, the program brought together decision-makers across business, policy, and technology to turn uncertainty into strategy. The exchange extended beyond the stage, uniting attendees for networking, side conversations, and peer-to-peer meetings that connected insights to action. Thank you to our speakers and guests for making #BloombergHouse# a true hub for insight and collaboration. 🌐🤝 #WEF26#

👠 City as a Runway: Own the Stage. Beyond its iconic skyline, Shenzhen moves with a vibrant, cutting-edge rhythm. As the holiday spirit takes the streets, let Shenzhen be the luxurious backdrop for your perfect holiday getaway — and let your style steal the show.

The stablecoin meta is shifting from "trading pair" to "global settlement layer." 💳⛓️ Earlier at the #HongKongWeb3Festival#, our SVP Jelena Zhang hit the stage at #Web3Festival# with @AEON_Community, @Conflux_Network, and @AssetoFinance to leak the alpha on the new HK regime and the road to 2026. 📈 What did we discussed? ◾Licenses for note-issuing banks signal a "stability-first" approach, prioritizing institutional trust. ◾Stablecoins are moving beyond speculation into payroll, trade finance, and cross-border payments. ◾How the CLARITY Act and interest bans will reshape liquidity for CEXs and DeFi. The future of finance is on-chain, we're just building the rails!🔥

Headed to @beyondtechexpo 2026 this week? 🇲🇴 KuCoin is proud to support our CMO @Skylar3292 as she takes the stage at the Web2+3 Wealth Forum this Friday! Catch her session live: 🎙️ Answer for Web3 Users and Liquidity: AMs, CEX, DEX, and Beyond 🗓️ May 29, 2026 15:20 - 16:20 📍 The Venetian Macao Cotai Expo - STAGE Vision 🎟️ Don't miss out—secure your pass today: #BEYONDExpo# #Web3# #Crypto# #Liquidity#

🇭🇰The Scaling Summit HK 2026 | AI Agent Demo Day Host: @499_DAO × City University of Hong Kong Co-host: @0G_labs × OpenSchool x IDM of CityU Special Partner: @BAI_AGI x @hetu_protocol A huge thank you to the 8 teams who took the stage and showcased real, working systems: • Avinasi @BaraHealth_ • KOLECT @kolect_info • DealAgent • Awareness @AwarenessCloud • CancerDAO @CancerDAOxyz • Syndicate • Libra @git_mono_AI • MemExchange @youbetdao From agent-based commerce to multi-agent coordination and AI memory infrastructure — these teams are pushing AI beyond models into execution. Not just ideas. But systems being built.

We're announcing the most significant new strategic development since the start of the Customer Agent category: Fin now has specialized roles. And starting today anyone can sign up for and deploy the Fin Sales Role in minutes. Fin is now by far the very best sales agent on the market, and it's been live with some of the most innovative digital brands for months, conversing with thousands of prospects, aiding discovery, building pipeline, booking meetings and starting trials. We started the Customer Agent category with a focus on service by launching Fin three months after the launch of ChatGPT. Since then Fin has continued to lead the space, today delivering over 2 million resolutions a week for over 8k customers, including Anthropic, DoorDash, Snowflake, Asana, Mercury, Polymarket and many more exceptional brands. But our vision for Fin has always stretched far beyond service. And for the past 6 months we’ve been building Fin as a single Customer Agent, delivering a seamless experience across all stages of the customer lifecycle. We do not believe customers or businesses will want multiple agents for different parts of the lifecycle—because the agents won’t have shared memory and goals, and will have to compete with each other, delivering a poor customer experience and sub-optimal business results. We’ve more roles to come, including another dropping in two weeks. For now please watch our launch video or visit our launch page to learn more: fin DOT ai SLASH sales

The Underpriced Truth: Agentic AI Is a Paradigm Shift Centered on Memory 1/ The market will slowly realize: Agentic AI is memory-centric, not compute-centric. The new hardware stack is: ① Memory — HBM / DRAM / NAND ② Parallel compute — GPU / ASIC ③ Coordinator — CPU CPUs stopped doing the heavy lifting a long time ago. This isn't a cycle. It's a paradigm. 🧵👇 2/ First principles Humanity's ultimate pursuit of intelligence has always been two things: Infinite memory + infinite compute. When we say someone is smart, we mean two things: "good memory" + "fast thinking." Machine intelligence is walking the exact same path. 3/ The story the market already understands: HBM LLM inference's decode stage is a textbook memory-bound workload. Every token generated → drag the entire KV cache across memory. Bandwidth too low → expensive GPUs sit idle. That's why every new GPU generation ships with more HBM bandwidth and capacity. 4/ The story the market is missing The "1M context" you keep hearing about? It is not assembled inside the GPU inference cluster. So where is it actually built? 5/ It's built on the traditional servers running the agentic system Those CPU + huge-DRAM servers are quietly doing the heaviest lifting: • loading user long-term & short-term memory • loading the agent's system spec / prompt • loading skill / tool / subagent definitions • compressing the context once it overflows 1M tokens All of this lives in DRAM, not HBM. 6/ Compare this to the previous era In the web / mobile era, we barely stored any user context at all. Only search / recsys / ads kept a small user profile — maybe 1/20, even 1/100 of the data volume an agentic system needs today. That asymmetry is the real overlooked inflection point. 7/ The supply chain is already telling this story Server CPU : DRAM ratio is climbing fast: • Web / Mobile era: 1 core : 4 GB • Agentic AI today: 1 core : 16 GB • Deep agentic future: 1 core : 64 GB and beyond 8/ And it's NOT just "4x more memory" Under agentic workloads, a single CPU serves a fraction of the users it used to. When the entire IT stack migrates to agentic: • CPU count grows several-fold to ~10x • DRAM total grows tens-fold to ~100x That's the part nobody is pricing in. 9/ The conclusion Agentic AI is a paradigm shift centered on storage + parallel compute. The software paradigm changed. The hardware paradigm changed with it. Only those who deeply understand the technology will see it: This isn't a memory cycle. It's a memory paradigm. 10/ Time horizon Given how early we still are on: • user adoption rate • depth of usage per user We are at least 5 years away from the cyclical top of this memory wave. (Zoom out far enough and everything is a cycle — but this one is nowhere near peak.) $MU $DRAM $SNDK

There have recently been some discussions on the ongoing role of L2s in the Ethereum ecosystem, especially in the face of two facts: * L2s' progress to stage 2 (and, secondarily, on interop) has been far slower and more difficult than originally expected * L1 itself is scaling, fees are very low, and gaslimits are projected to increase greatly in 2026 Both of these facts, for their own separate reasons, mean that the original vision of L2s and their role in Ethereum no longer makes sense, and we need a new path. First, let us recap the original vision. Ethereum needs to scale. The definition of "Ethereum scaling" is the existence of large quantities of block space that is backed by the full faith and credit of Ethereum - that is, block space where, if you do things (including with ETH) inside that block space, your activities are guaranteed to be valid, uncensored, unreverted, untouched, as long as Ethereum itself functions. If you create a 10000 TPS EVM where its connection to L1 is mediated by a multisig bridge, then you are not scaling Ethereum. This vision no longer makes sense. L1 does not need L2s to be "branded shards", because L1 is itself scaling. And L2s are not able or willing to satisfy the properties that a true "branded shard" would require. I've even seen at least one explicitly saying that they may never want to go beyond stage 1, not just for technical reasons around ZK-EVM safety, but also because their customers' regulatory needs require them to have ultimate control. This may be doing the right thing for your customers. But it should be obvious that if you are doing this, then you are not "scaling Ethereum" in the sense meant by the rollup-centric roadmap. But that's fine! it's fine because Ethereum itself is now scaling directly on L1, with large planned increases to its gas limit this year and the years ahead. We should stop thinking about L2s as literally being "branded shards" of Ethereum, with the social status and responsibilities that this entails. Instead, we can think of L2s as being a full spectrum, which includes both chains backed by the full faith and credit of Ethereum with various unique properties (eg. not just EVM), as well as a whole array of options at different levels of connection to Ethereum, that each person (or bot) is free to care about or not care about depending on their needs. What would I do today if I were an L2? * Identify a value add other than "scaling". Examples: (i) non-EVM specialized features/VMs around privacy, (ii) efficiency specialized around a particular application, (iii) truly extreme levels of scaling that even a greatly expanded L1 will not do, (iv) a totally different design for non-financial applications, eg. social, identity, AI, (v) ultra-low-latency and other sequencing properties, (vi) maybe built-in oracles or decentralized dispute resolution or other "non-computationally-verifiable" features * Be stage 1 at the minimum (otherwise you really are just a separate L1 with a bridge, and you should just call yourself that) if you're doing things with ETH or other ethereum-issued assets * Support maximum interoperability with Ethereum, though this will differ for each one (eg. what if you're not EVM, or even not financial?) From Ethereum's side, over the past few months I've become more convinced of the value of the native rollup precompile, particuarly once we have enshrined ZK-EVM proofs that we need anyway to scale L1. This is a precompile that verifies a ZK-EVM proof, and it's "part of Ethereum", so (i) it auto-upgrades along with Ethereum, and (ii) if the precompile has a bug, Ethereum will hard-fork to fix the bug. The native rollup precompile would make full, security-council-free, EVM verification accessible. We should spend much more time working out how to design it in such a way that if your L2 is "EVM plus other stuff", then the native rollup precompile would verify the EVM, and you only have to bring your own prover for the "other stuff" (eg. Stylus). This might involve a canonical way of exposing a lookup table between contract call inputs and outputs, and letting you provide your own values to the lookup table (that you would prove separately). This would make it easy to have safe, strong, trustless interoperability with Ethereum. It also enables synchronous composability (see: and ). And from there, it's each L2's choice exactly what they want to build. Don't just "extend L1", figure out something new to add. This of course means that some will add things that are trust-dependent, or backdoored, or otherwise insecure; this is unavoidable in a permissionless ecosystem where developers have freedom. Our job should make to make it clear to users what guarantees they have, and to build up the strongest Ethereum that we can.

A profit-driven enforcement assembly line led by Li Renye Beyond collaborating with Justin Sun on two separate cases, the enforcement team headed by Li Renye has allegedly targeted a number of prominent figures in the crypto space. Further details are still being compiled. Part 1 Correction to a previously circulated claim: The individual currently described as the “blade” in Justin Sun’s hand, Li Renye, has never held a position within mainland China’s police, procuratorate, or court system, either in the past or at present. Media reports referencing his supposed prior official roles have, intentionally or not, created a misleading impression for most readers. Li Renye, born on October 4, 1996, previously held only the following position: •Mediator at the Dispute Resolution Center in Yongjia County, Wenzhou, Zhejiang Province, mainland China •This role was temporary, contract-based, and outside the formal government staffing system. Part 2 According to individuals familiar with the matter: 1Li Renye allegedly obtained money from multiple parties by promising assistance that never materialized, and refused to return the funds. 2He reportedly has a prior record of being summoned and detained by mainland Chinese authorities in connection with financial fraud. 3More critically, he is alleged to have impersonated personnel from China’s law enforcement or judicial agencies. “Prosecutor” Li, did it feel empowering to fabricate an identity as a member of China’s judicial system? Part 3 At a later stage, Li Renye reportedly crossed paths with Justin Sun in what insiders describe as a complementary arrangement: 
Li provided operational muscle, while Sun provided financial backing. From that point on, Li became what observers characterize as a rapid-response enforcement instrument in Sun’s toolkit, capable of pushing aggressive law enforcement actions across multiple jurisdictions. As previously noted, the case involving
Wang Bingyu who is said to have close ties to Justin Sun, allegedly involved substantial participation by Li Renye. During police interrogation, Wang Bingyu and an individual referred to as “Accountant Guo” reportedly surrendered more than 100 million RMB. 
Yet, the ultimate destination of those funds remains unclear. “Prosecutor” Li,it has been rumored that 32 million RMB from that surrendered amount was divided between you and certain associates. Care to clarify? According to this narrative,
@justinsuntron Li Renye, and Li Tao ,
have effectively turned law enforcement actions in mainland China into what critics describe as a fully integrated, profit-driven enforcement pipeline, referencing both the Wang Bingyu case and the @WilsonWei777 case. Anyone with information regarding cases connected to these individuals is encouraged, in the original statement, to submit details for consolidated disclosure. And finally, a closing jab from the original text: “Prosecutor” Li, how comfortable is the ride on Justin Sun’s private jet, the
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