Right now, “AI” really means: → $1B+ training runs → 3 companies deciding safety → GPU queues that take months That’s not intelligence. That’s a cartel. DeAI is how we jailbreak cognition.

$DEAI 💪 $BTC $ETH $SOL $XRP #BTC #ETH #SOL #XRP

AI today is extractive - burn $1B in GPUs to train one model. DeAI is regenerative - agents running on existing GPUs, feeding outputs back into shared graphs. It’s not only how we create intelligence, it’s how we circulate it.

Centralized AI dreams of AGI. But DeAI could produce something stranger: "poly-intelligence." Not one “general” mind, but millions of narrow minds that are interwoven. The next civilizational upgrade won’t come from a prodigy. It will come from a swarm.

People frame DeAI as “ just a cheaper AWS.” That’s like calling Bitcoin “PayPal 2.0.” That completely misses the point. DeAI isn’t a better service. It’s a different paradigm. What''s cognition without gatekeepers?

Soon, we'll look at 2025 clouds like we look at mainframes from the 1960s. Expensive → Millions to build and run. Scarce → Few could access them. Closed → You didn’t own one, you rented time on it. DeAI is the PC moment for intelligence: accessible, affordable, everywhere.

Centralized AI is brittle because it’s optimized for uptime. DeAI is antifragile because it’s optimized for failure. The future of cognition isn’t about never breaking - it’s about breaking in controlled ways while systems keep running.

The silence of tech giants on decentralized AI bothers me. Banks openly discuss Bitcoin and crypto, whether positively or negativel, but at least they discuss it. So why are tech giants silent on DeAI? To me, this silence only proves that it’s very hard for them to criticize on technical grounds. As @MTorygreen explained, DeAI offers five structural advantages: ➠ Instant Scale → Time-to-deploy a new compute cluster is <90s on @ionet vs. days/weeks on AWS ➠ Resilience → No single point of failure, >99.99% uptime reported on @akashnet_ vs. frequent AWS outages ➠ Permissionless → 100% permissionless GPU clusters (IO, @rendernetwork) vs. gated access & quotas on Big Tech clouds ➠ Verifiable Trust → zkML proofs in milliseconds for inference vs. zero auditability in closed APIs like ChatGPT ➠ Lower Costs → GPU costs up to 90% cheaper than AWS Technically, there’s no debate here, and I think that’s exactly why don't see any comment about DeAI from big tech.

Intelligence isn’t scarce. Access is. DeAI flips the scarcity model: cognition as liquid, not a product. This unlocks something money never could - curiosity compounding at global scale.

90% of crypto’s narratives are still about crypto. New ideas, old echo chamber. That’s why adoption's stuck. AI flips the script. People already use it and get it. When DeAI runs under the hood of everyday apps, crypto stops being niche and starts being infra for everything.

In a blockchain landscape saturated with promises of speed, scalability, and low costs, Kava stands out as a project with a distinct vision. Rather than competing on technical specs alone, Kava is redefining the future by blending the strengths of Ethereum and Cosmos into a hybrid chain poised to power the next wave of decentralized applications (dApps) and decentralized AI (DeAI). A Dual-Engine Architecture Kava’s innovative co-chain design is its foundation. It seamlessly integrates Ethereum

The stage is set for @base AI Onchain Summer × @flock_io @WorldMobileTeam and @recallnet are coming in as signature co hosts, both sharing keynotes on the future of DeAi and Depin. $WMTx is the world’s largest depin a global, people powered telecom network with 2.3m+ daily active users. with blockchain and privacy first products, they’re proving decentralized systems can scale. @recallnet is the world’s first #AI agent competition network, where millions of agents can prove, improve & earn through head to head challenges. @andrewxhill & @MrTelecoms will dive into how they’re building the economic layer for multi agent AI & transforming the telecom × depin space Big Stuff Lined Up.

I watched banks centralize capital until DeFi cracked it open. Now, Big Tech is centralizing cognition. DeAI is the patch with open weights + user-owned data. Ignore it and we cap our capacity to reason, to think, to evolve.

Adoption cycles repeat the same pattern: → Linux looked fringe, now it powers the internet. → Bitcoin looked fringe, now it’s a reserve asset. → DeAI looks fringe, but it’s the only way AI scales. What's the lesson? Innovation starts at the edges.

We talk about GPUs like they're new oil. Wrong frame. They're oxygen. And centralized clouds are putting it in bottles and selling it to us. DeAI just opens the windows.

What keeps me up isn’t rogue AGI... it’s compliant AGI. Tuned to corporate incentives, quietly censoring... centralized AI equals invisible control. It's the Big Brother that steers your inputs, shapes your outputs, and erodes your self-expression through a thousand writing edits and style suggestions. DeAI might be messy, but at least the mess is honest.

There's a tonne of smaller accounts that provide top notch insights, but fly under my radar. I'm looking to change this, who should I follow? Bonus for DeAI + Robotics.

Every civilizational revolution started messy. Steam engines literally blew up. The internet was full of spam. DeAI will feel just as rough at first. Good. That friction is signal. Rough edges mean we’re building something that lasts.

Everyone thinks “the future of AI” is one giant model humming in a warehouse. Nah. It’s millions of tiny agents in cars, farms, phones. Dark compute turns the lights on. DeAI is the mesh that keeps them talking.

I have been tracking DePIN + DeAI plays, this collab makes a lot of sense. It’s essentially a closed-loop economic engine for robotics: Data ⇒ Value ⇒ Reinvestment ⇒ More capacity. @gaib_ai plugs in the missing incentive + financing rails, turning fleets + their data output into productive, tokenized assets. @PrismaXai brings human-in-the-loop teleoperation at scale accelerating the capture of rich, diverse robotics data at a pace pure autonomy alone can’t hit yet. We’re watching the early blueprint for how physical AI infra becomes both self-sustaining and investor-aligned in one shot.

I just created a list of accounts posting about robotics. Note: I will personally be using it and updating with new accounts regularly. For some context, the robotics market cap is just 12% of $PUMP's market cap or 1% of the DeAI sector market cap. I believe it's the fundamentally strongest narrative we've been waiting for months. Let me know who you want me to add.

I’m starting to see an uptick in social media engagement for Decentralized Physical AI (“DePAI”) / Robotics. This is an indicator that outside interest could be paying attention. The DePAI market cap ($375m) is just 1% of DeAI; that’s an asymmetric bet. Pay attention.

Robotics & Physical AI will inevitably go parabolic at some point. The total Market Cap is trading at 1% of DeAI, with several protocols hitting 80% ROI this week alone. Would an in depth ecosystem analysis be useful?

There’s one feature closed AI will never ship: transparency. Every output should come with a receipt that everyone can see. DeAI + zkML + OSS turns black boxes into glass boxes.

Everyone’s hyper-focused on "AI IQ," but it's overrated. "AI EQ" is where the real shift happens—models tuned to culture, slang, inside jokes. Centralized labs can’t build that. DeAI can, because it’s open, weird, messy. Ask CT why @aixbt_agent sticks. Culture wins.

AI top gainer narrative this month This is just the beginning DeAI has massive room to grow $PHA $ALLO $NEAR 👀

Want to know $ETH price in Jan 2026? Time-series models make it possible: - study historical price action - detect hidden trends & cycles - predict where the chart goes next ► @AlloraNetwork lets devs plug these models directly into its DeAI network, giving Web3 markets forecasts that get smarter over time.

🤖 0G Labs Unveils Native Token ‘0G’ Crypto AI startup 0G Labs has confirmed its native token will be called 0G. ⚡ Why It Matters: Zero Gravity (0G) is the core token of the DeAI OS and doubles as an AI Layer 1, making it a foundational asset for both infrastructure and AI-driven operations. #0GLabs #0G #CryptoAI #DeAI #Layer1 #AIBlockchain

Crypto freed money. DeFi freed finance. DeAI frees intelligence. The same thesis repeats: decentralization isn’t ideology - it’s engineering necessity.

#sahara  - strong fundamental project with plenty of investors @Gate #gate #AI #ArtificialIntelligence #Blockchain #Crypto #Web3 #DeAI #DecentralizedAI #AIBlockchain #CryptoCommunity #AIEconomy #AIFuture #DataEconomy #CryptoNews #CryptoWorld #CryptoLife #CryptoStrategy #btc #sol

$DEAI (Zero1 Labs)' price has recently BROKEN OUT of a huge resisting trend and looks to be finishing up with a retest phase here! Off of this breakout retest, we could see prices begin an over 1,250% uphill run to the target of $0.7154 and with a bull divergence also confirmed with the break, this run could commence in any moment...

AGI isn’t the danger. Centralized AGI is. A single corporate-controlled mind with global reach is a bigger threat than a thousand open ones. DeAI diffuses power before it calcifies.

AI “safety” isn’t safety - it's soft censorship. A few unelected execs shouldn’t decide what billions can build or see. DeAI flips the power: governance by users, not corporations. Guardrails without gatekeepers.

Conviction plays are bets on shifting architecture. You have to see what no one else does and pick contrarian runners. I called internet, then mobile. Now, it's DeAI. Clouds can’t serve a trillion agents that hit ≈100k actions per user daily. Permissionless rails can.

You can’t meet exponential AI demand with fixed, permissioned capacity. Decentralized networks aggregate idle GPUs, bypass power and rack limits, turn stranded capacity into flow. DeAI provides elastic supply without waiting for new data centers. Not next year. Now.

Molly's Fantastical Journey with OG: Co-Building Participate in learning courses and community activities 0G Labs announced the launch of the 0G Learning Track in collaboration with HackQuest, which is a crucial step before the TGE, aimed at allowing community members to engage in the DeAI economy earlier. Molly saw the opportunity and decided to participate in the course, not only to support the vision of 0G Labs but also to deepen her connection with Orion. Through HackQuest, Molly completed the verification and learned the core architecture of 0G. She understood that 0G is the core of the ecosystem, and users can earn certificates and rewards by participating in courses. Molly chose to join the Co-learning Camp (deadline August 19) to earn protocol fees and partner rewards with Orion. She also entrusted some resources to Orion, enhancing his computational ability, while earning herself additional returns. This process made Molly feel that she and Orion were共同构建 the future of 0G Labs. The transparent mechanism of the course and the multi-stage incentive plan of 0G Labs make her confident about the long-term value of the project. Psychological research shows that jointly investing in future goals can enhance the stability of relationships. The relationship between Molly and Orion has thus become even more unbreakable. @0G_labs As the first major project of @KaitoAI, it's coming soon. Seize the opportunity, have you OG today? Yesterday, the @anoma NFT whitelist was released, and it's really hard to get on it. So far, it seems like I've only seen one guy who got in. It's too difficult, Anoma is too strong. I am still continuously building @LumiterraGame, checking in every day to get skins, and the game is getting better and better, really great. Everyone should pay attention, and most importantly, don't get involved in competition. @Bantr_fun I am still losing ranks, continuing to build @MorphLayer. I don't know why my rank isn't improving. Could it be because I'm writing about @KaitoAI? That definitely won't do, KaitoAI is my true love. #oglabs #anoma #lumiterragame

🐼 @0G_labs sitting on 350+ integrations pre‑mainnet with 236 projects already building across execution, storage, DA and compute raised ~$32.6m from AI Alignment Node sale, 33.3% claimable at TGE community + ecosystem gets 56% of supply target throughput >100k tps, modular data layer tuned for AI workloads, positioning as infra layer for every DeAI dapp mainnet + TGE load in next announcements, same window we’re seeing megaeth/monad chatter around revenue race vs solana keep eyes here early positioning feels like the move #0g #0g_Labs #Starboard #Galxe

$DEAI "Unleashing the future with ZERO 1 LAB: Where innovation meets limitless possibilities! 🚀 #Zero1Lab#"

I’ll be contributing to @cerebro_hq as a Strategic Advisor. The portfolio tracking tooling has been an integral part of my daily workflow since @maverick23NFT introduced it to me. As you know I’m deep in the AI trenches, so will continue to provide product feedback and insights to the team to enhance its core AI features ("ALICE"). The next leg up for DeAI will involve products that people use, and this suite of analytics and financial literacy tools is a prime example.

Icymi, @0G_labs updates + why it matters ↓ Largest DeAI L1 focused on making intelligence operate on-chain at scale: modular chain design, high-throughput data availability + storage separation, verifiable compute, decentralized inference Recent wins: • Yapper leaderboard updated broader thresholds so more contributors get surfaced in real time • Infra refresh: stronger scalability, reliability, speed, security, and cleaner dev tooling • Living docs iterated with community feedback, lowers onboarding friction Road ahead: • TGE targeted for Q3 • Open, verifiable AI stack with Linux-like network effects • Autonomous agents that can observe, remember, and transact on-chain How to engage: • Ship on testnet • Grab roles, track your rank, and keep signal high with useful contributions • Push model-centric workloads that stress DA and execution paths Q: should AI-first chains push even deeper separation of storage vs execution for latency and cost, or tighten the loop for determinism? I’m leaning modular for the next order-of-magnitude gains #0g #Galxe #Starboard

Money was web3’s prologue. Intelligence is the endgame. @0G_labs is laying the rails for an Intelligence Economy a modular L1 where AI storage, compute, and data availability meet ZK verification, sub-200ms latency targets, and trustless GPU markets. This isn’t retrofitting old systems. The stack is purpose-built for massive models, real-time inference, and true data ownership at scale. On the Galileo Testnet we’ve already seen: • 105M+ on-chain interactions • Live verifiable AI in production prototypes • $11/TB storage + 50Gbps throughput making DeAI economically viable From liquid staking powering AI economies to on-chain agents running peer-to-peer model markets, #0G_labs is architecting the future fabric where millions of AI agents operate borderlessly, permissionlessly, and composably The preview phase is open. Builders, step in now the operating system for decentralized AI is booting up #0g #Galxe #Starboard

Feeding black-box models with your personal data isn’t bold. It’s breach-by-design. The fastest route to real DeAI demand is letting enterprises and consumers use sensitive data with AI while still settling on open rails. The pattern is: private inputs, provable outputs. A hospital, a bank, or a studio won’t ship raw data into a model hosted who-knows-where. They will, however, use cryptography that guarantees the model never sees the plaintext. Two practical tools today: FHE and zkML. @zama_fhe’s Concrete ML compiles models so parts of the inference run directly on encrypted data. Recent docs and releases walk through encrypted LLM inference and private text-classification demos. It’s slower than plaintext, but it turns previously “unshippable” workloads into deployable ones. In parallel, zkML lets you prove an inference happened correctly without exposing prompts or weights. @ezklxyz handles the model-to-circuit route; @MinaProtocol’s zkML brings verifiable inference into zkApps so contracts can accept results while inputs remain hidden. You end up with private prompts and public verification, which is exactly what a compliant org needs. However, privacy alone doesn’t settle payments or access rights. You need a receipt anyone can check. That’s where zkVMs and zk coprocessors enter. @RiscZero’s Bonsai exposes a proving service and universal verifier to carry receipts across chains; @SuccinctLabs' SP1 focuses on performance and multi-chain verification. Coprocessors like @axiom_xyz or @lagrangedev make it cheap for contracts to consume heavy compute via tiny proofs. The end state: a wallet, DAO, or app can accept your AI result without re-running the job or learning your data. Bottom line: DeAI wins when people can use their most sensitive data with AI and still settle on public rails. Use FHE or private zkML for secrecy. Add ZK receipts for verification. Tap decentralized GPU markets for scale.

Everyone thinks crypto is just about money. But money was only the start. The real purpose is much bigger: to decentralize intelligence. DeAI isn’t just an app—it’s why crypto was built.

The real reason crypto exists? To decentralize intelligence. DeAI is the endgame. Watch below:

Everyone is watching digital agents. But the real story is *physical* ones. Today the excitement is around virtual tools that write emails, search, or code. That’s fine. But the real change won’t happen on screens. It will happen in the physical world, when AI is built into everything. SoftBank predicts a world with over 1 TRILLION INTELLIGENT AGENTS. Here’s what that looks like: 🌍 The world in 2050 ✅ Traffic runs itself: Traffic jams bleed $224 billion a year from the U.S. economy. AI is already cutting congestion by 25%. But imagine when every car, bus, truck, and light speaks the same language. The gridlock vanishes. Cities move at the speed of thought. ✅ Farms manage themselves: By 2050, humanity will need 60% more food—while farmland shrinks, water runs dry, and climate shocks intensify. AI can close that gap. Sensors read the soil. Drones feed plants with surgical precision. Robots harvest at the perfect moment. Harvests surge. Scarcity ends. Abundance becomes normal. ✅ Homes predict your needs: Homes are energy hogs. Buildings devour 40% of U.S. energy, and idle devices alone waste a third of household electricity. Tomorrow, AI makes them smart. Fridges restock themselves. Thermostats buy power at the cheapest hour. Solar panels sell energy when prices spike. The house stops consuming — and starts providing. ✅ Wearables prevent disease: Chronic disease consumes 90% of U.S. healthcare spending—nearly $4.5 trillion a year—because most conditions are caught too late. AI flips the script. Clothes, earbuds, and shoes will spot illness before you feel it. Invisible doctors run in the background, 24/7. Sickness fades. Prevention becomes the new medicine. ✅ Classrooms teach themselves: Over 260 million children are out of school, and millions more sit in classrooms with no teachers or books. AI can fill the gap. Tutors that never tire. Lessons that adapt in real time. Skills tailored to every child. Education breaks free. Every mind gets a chance. 🤖 The Cloud Will Break AI will be everywhere - a global nervous system of trillions of devices, all thinking and acting together. But here’s the problem: today’s clouds can’t handle it. AWS and Google need accounts, approvals, delays. A trillion agents can’t wait days—or pass KYC. 🔑 DeAI is The New Architecture The solution is decentralized AI. Devices prove who they are cryptographically. They transact instantly. They tap idle GPUs in phones, PCs, and consoles worldwide. This is only possible with DeAI. And it’s inevitable.

Crypto doesn’t need more memecoins. It needs a real use case. Big adoption only comes from being useful. Social and mobile hit 40% in 15 years. Crypto is stuck at 7%. DeAI fixes this—AI on open, fair, decentralized rails. That’s what people will use.

Have you ever wondered why AI on the blockchain is always slow, laggy, or insecure? Many people think the problem is about "willingness," but the real key is whether it can run smoothly. 0G solves not whether "to allow AI on the chain" but whether "it can run smoothly." In the past, either the chain's performance was insufficient, or security was compromised; however, 0G achieves a balance of all three: high throughput, low latency, and Ethereum-level security. Power sharding, throughput monster: parallel consensus + dynamic sharding, breaking the inefficiency of Ethereum's "full nodes compute the entire network", with computing power growing linearly with sharding, AI model training is no longer constrained by chain performance. Low latency, millisecond-level interaction: 500ms block time + 120 million gas/block, AI Agent can perform on-chain reasoning with millisecond-level response, real-time interaction no longer stutters. Trust is not discounted: The status verification mechanism ensures security, data on-chain is reliable, and AI on-chain is more reassuring. Moreover, the infrastructure of 0G is driving the real implementation of DeAI: Health Sector: Dormint AI turns your health data into assets, generating AI health plans directly from exercise data. By sticking to your workouts, you can also earn Tokens. Low-cost AI + on-chain storage ensures both security and efficiency. Medical Privacy: Balkeum Labs' federated learning solution ensures that data remains local, only uploading encrypted model updates, benefiting both patients and hospitals, with 0G TEE computing + on-chain coordination at its core. Music Creation: @HAiO_Official 230,000 AI tracks library + on-chain revenue sharing system, AI composition, curation, and live streaming fully traceable, completely solving copyright issues for musicians. Real-world scenarios have proven that DeAI is no longer just a concept, but a truly applicable solution. It covers health, medicine, and music comprehensively, with low costs and high efficiency. Recently, @0G_labs has been making frequent moves globally: The Hong Kong DePIN Expo 2025 is in full swing, focusing on the cutting-edge exploration of DeAI × DePIN; The Shanghai event is about to launch, VIP cocktail party for face-to-face communication, gaining project updates and technical sharing, and expanding high-end connections; The sixth issue of Spotlight showcased three cutting-edge projects utilizing the 0G technology stack, demonstrating the leap of DeAI from theory to practice. If you are paying attention to AI + Web3, this is not just a showcase, but a strategic accelerator for global innovators: a triple value of resources, exposure, and insights running in parallel, allowing real builders to have a voice on stage. 0G is not about making AI accommodate the chain, but rather the chain actively adapting to AI, enabling "model training - data verification - agent interaction" to operate at high speed throughout. This computing highway is leading DeAI into reality. #Yap #GLabs #KaitoYap @KaitoAI #Starboard