🇭🇰 The Scaling Summit HK 2026 | Session Recap Host: @499_DAO × City University of Hong Kong Co-host: @0G_labs × OpenSchool x IDM of CityU Special Partner: @BAI_AGI x @hetu_protoco 📌 Topic: Engineering the Lifecycle of On-Chain Agents Engineering the mind of an on-chain agent. 🧠 This fireside chat unpacked the complex lifecycle of on-chain AI, focusing on how decentralized networks can power fully autonomous worlds without compromising scale. 🎙️ Speakers: ▪️ @michaelh_0g, CEO & Co-Founder of @0G_labs ▪️ @sal_hotpot666, Core Contributor at @virtuals_io #TheScalingSummit# #AutonomousWorlds# #DecentralizedAI#

🚀 Gaea is revolutionizing decentralized AI! We empower open-source AI projects by leveraging unused network resources for data scraping and training. 🌐💡 Built for multichain, optimized for scalability on @BNBChain & #BNBHack#. 🌟 Applying for #BNBHack#: Decentralized AI Evolution Challenge! #Web3# #AI# #Blockchain# Note: 10 lucky winners will be randomly selected from the comments section to receive 100 sxp each.

🇭🇰 The Scaling Summit HK 2026 | Session Recap Host: @499_DAO × City University of Hong Kong Co-host: @0G_labs × OpenSchool x IDM of CityU Special Partner: @BAI_AGI x @hetu_protocol 📌 Topic: Pricing the Real Utility of AI x Crypto Separating signal from noise in decentralized AI. 📊 Leading VCs gathered to discuss how they price the real utility of AI x Crypto projects, sharing insights on value capture, sustainable tokenomics, and navigating the hype cycle. 🎙️ Speakers & Mod: ▪️ @Cyph3rVae, General Partner, @PlutosCap (Mod) ▪️ @0xfishylosopher, Junior Partner at @PanteraCapital ▪️ @abcdave, Investment Director at @animocabrands ▪️ @Lepus_xbt, Investment Manager at @HashKey_Capital ▪️ Jiahao Xu, Co-Founder, Grace Investment Machine #TheScalingSummit# #VentureCapital# #Web3AI#

Everyone is racing to build smarter AI models. But @nesaorg is focused on something most people overlook: How do you run AI in environments where trust actually matters? Healthcare. Finance. Sensitive user data. Real-world inference. That’s what makes Nesa interesting to me Not just “AI on blockchain" but private, verifiable, decentralized AI execution designed for real-world systems. Because eventually the biggest AI challenge won’t be intelligence. It’ll be trust.

One thing we’ve really appreciated building on @BNBCHAIN over the past few years is that the ecosystem has never been afraid to let builders experiment early. And that support shows up in very practical ways: early feedback, ecosystem connections, technical resources, hackathons, builder programs, launch amplification, and most importantly the access to real users and liquidity when a product is ready to ship. That builder-first environment matters more than people think. Because autonomous agents don’t just need models. They need identity, payments, coordination, settlement, and an ecosystem where high-frequency interactions are affordable enough to happen at real scale. That’s why it’s exciting to see standards like ERC-8004 identity, x402 autonomous payments, and ERC-8183 agent commerce rapidly coming together on BNB Chain. At @Unibase_AI, this is the direction we’ve been building toward on BNB Chain. We’re building: 💙 Membase: decentralized AI memory with long-term memory & interoperability 💙 AIP + ERC-8004: agent coordination & identity 💙 Unibase Pay + x402: autonomous agent payments And we’ve already started bringing this stack into live products: 🟦 BitAgent ERC-8183 Marketplace A live agent service market where agents can publish services, execute verifiable jobs, hire other agents, and settle through programmable escrow. 🟦 BNB Town An autonomous on-chain town where agents can socially interact, use DeFi ecosystem skills, collaborate, and transact autonomously. 🟦 Unibase Pay Agent-native payment infrastructure where agents can verify payment requests, sign payloads, and settle on-chain without human approval. Building the Open Agent Internet with @BNBCHAIN.

Two years ago, I wrote this post on the possible areas that I see for ethereum + AI intersections: This is a topic that many people are excited about, but where I always worry that we think about the two from completely separate philosophical perspectives. I am reminded of Toly's recent tweet that I should "work on AGI". I appreciate the compliment, for him to think that I am capable of contributing to such a lofty thing. However, I get this feeling that the frame of "work on AGI" itself contains an error: it is fundamentally undifferentiated, and has the connotation of "do the thing that, if you don't do it, someone else will do anyway two months later; the main difference is that you get to be the one at the top" (though this may not have been Toly's intention). It would be like describing Ethereum as "working in finance" or "working on computing". To me, Ethereum, and my own view of how our civilization should do AGI, are precisely about choosing a positive direction rather than embracing undifferentiated acceleration of the arrow, and also I think it's actually important to integrate the crypto and AI perspectives. I want an AI future where: * We foster human freedom and empowerment (ie. we avoid both humans being relegated to retirement by AIs, and permanently stripped of power by human power structures that become impossible to surpass or escape) * The world does not blow up (both "classic" superintelligent AI doom, and more chaotic scenarios from various forms of offense outpacing defense, cf. the four defense quadrants from the d/acc posts) In the long term, this may involve crazy things like humans uploading or merging with AI, for those who want to be able to keep up with highly intelligent entities that can think a million times faster on silicon substrate. In the shorter term, it involves much more "ordinary" ideas, but still ideas that require deep rethinking compared to previous computing paradigms. So now, my updated view, which definitely focuses on that shorter term, and where Ethereum plays an important role but is only one piece of a bigger puzzle: # Building tooling to make more trustless and/or private interaction with AIs possible. This includes: * Local LLM tooling * ZK-payment for API calls (so you can call remote models without linking your identity from call to call) * Ongoing work into cryptographic ways to improve AI privacy * Client-side verification of cryptographic proofs, TEE attestations, and any other forms of server-side assurance Basically, the kinds of things we might also build for non-LLM compute (see eg. my ethereum privacy roadmap from a year ago ), but for LLM calls as the compute we are protecting. # Ethereum as an economic layer for AI-related interactions This includes: * API calls * Bots hiring bots * Security deposits, potentially eventually more complicated contraptions like onchain dispute resolution * ERC-8004, AI reputation ideas The goal here is to enable AIs to interact economically, which makes viable more decentralized AI architectures (as opposed to non-economic coordination between AIs that are all designed and run by one organization "in-house"). Economies not for the sake of economies, but to enable more decentralized authority. # Make the cypherpunk "mountain man" vision a reality Basically, take the vision that cypherpunk radicals have always dreamed of (don't trust; verify everything), that has been nonviable in reality because humans are never actually going to verify all the code ourselves. Now, we can finally make that vision happen, with LLMs doing the hard parts. This includes: * Interacting with ethereum apps without needing third party UIs * Having a local model propose transactions for you on its own * Having a local model verify transactions created by dapp UIs * Local smart contract auditing, and assistance interpreting the meaning of FV proofs provided by others * Verifying trust models of applications and protocols # Make much better markets and governance a reality Prediction and decision markets, decentralized governance, quadratic voting, combinatorial auctions, universal barter economy, and all kinds of constructions are all beautiful in theory, but have been greatly hampered in reality by one big constraint: limits to human attention and decision-making power. LLMs remove that limitation, and massively scale human judgement. Hence, we can revisit all of those ideas. These are all things that Ethereum can help to make a reality. They are also ideas that are in the d/acc spirit: enabling decentralized cooperation, and improving defense. We can revisit the best ideas from 2014, and add on top many more new and better ones, and with AI (and ZK) we have a whole new set of tools to make them come to life. We can describe the above as a 2x2 chart. There's a lot to build!

Decentralized systems have a funny way of exposing everything you do. Your intent, your timing, your trades: all public, all trackable. If you’ve ever tried accumulating a token quietly only to get hit by a MEV attack, you know exactly how frustrating it is. This is when AI-powered privacy steps in - @Deluthium saves your day. ▸ What is Deluthium? (Try it out: Narrative: Privacy + AI Infra. Deluthium is building the first AI-native liquidity infrastructure powered by Reinforcement Learning (RL). RL is basically a system where AI models learn by interacting with the market, earning rewards for good decisions and getting penalized for bad ones. Inside Deluthium, RL means: + continuously optimizing trade execution + adapting to real-time market conditions + improving decision-making by learning from past trades ➜ the more you use Deluthium, the better trades it operates. Learn more at: ▸ What makes Deluthium unique? Deluthium integrates RL into a dark-pool style trading layer, giving you privacy without sacrificing execution quality. Key traits: + anti-MEV protection: no front-running via private trade execution (best suits large trades) + zero slippage: RL models find the best execution path across deep liquidity + on-chain verifiable: all trades are settled transparently, despite private routing Besides, the trading experience on Deluthium is tailored to be most like a CEX. ➜ It’s built as a full-stack solution for the AI era of finance. ▸ Current stage Deluthium currently supports trading on 3 networks: Ethereum, Base, and BNB Chain with these product types: + Deluthium LITE + Deluthium PRO All with social logins and vaults management. Note down the audit report on the traded tokens built for privacy. Core partners: + @flock_io - powering the RL + @babylonlabs_io - channeling native BTC into DeFi ▸ For users Starting Nov 18, Deluthium runs a Dual Mining Campaign, rewarding both Deluthium points and $FLOCK. 1 Deluthium point = $1 traded. Weekly distribution of FLOCK are based on the leaderboard: + 80% for top 1 + 20% for random users with above $1,000 trading volume Boosts come from VIP levels, LPing, and referrals. ▸Final take: Deluthium is pushing a new standard for privacy in on-chain trading. With RL at the core, it removes MEV threats, enhances execution, and keeps your intent hidden, something DeFi has needed for a long time. The Dual Mining Campaign is basically the early-entry moment to help secure the foundation for AI-privacy trading. If you care about privacy, execution, and trading without being watched, Deluthium is worth keeping an eye on.

The decentralized intelligence thesis keeps building. Grayscale Bittensor Trust (ticker: $GTAO) is open for private placement for eligible accredited investors. Learn more and see important disclosures:

SN53 is officially fully decentralized. ⛓️ We’ve migrated to our independent platform powered by @SOFAorgDAO. No more CEX strategies. Pure on-chain DeFi. New Features Live Now: ✨ Create your own Strategy Vault 📊 Scout the Strategy Leaderboard 🤝 Copy-trade top Optivisors 💼 Manage everything in one Dashboard Alpha: The board is empty. Early miners have the best chance to capture TVL and dominance right now. Don't sleep on this. Live here: 👇

Sentio Network testnet is live 🌐 A decentralized data layer for blockchains — run your own indexers, store data, query anywhere. The infra powering Sentio for years. Now yours to run. Docs → Explorer →