Zero Gravity (0G) to Launch Alignment Node License Migration on December 24

The varieties of #RDNT #ORDI tracks are worth paying attention to: 1. MEME board: DOGE, SHIB, PEPE, FLOKI, BONK 2. AI sector: AGIX, WLD, FET, AI, NMR 3. Public chain plates: ETH, SOL, MATIC, FTM, ADA, Avax, DOT, Atom 4. Layer 2: OP, ARB, METIS, IMX, MANTA, EGLD, MNT 5. 2024 halving plates: BCH, BSV, ZEC, ZEN, BTG 6. GAMEFI PLATE: SAND, MANA, GALA, ENJ, RON, PIXEL, ACE, ILV, MAGIC 7. Oracle section: TRB, LINK, API3, BAND 8. Payment concept section: MOB, ACH, XLM, CELO0 9. Inscription plates: ORDI, SATS, RATS BTCS 10. Storage plate: AR, FIL, STORJ, BLZ 11. DEFI sector: Aave, COMP, RDNT, CRV, MKR, Avax, DYDX 12. NFT sector: BLUR, DYDX, L0OKS, DEGO 13. Modular plates: TIA, MANTA, DYM, ALT 14. Sports section: CHZ, SANT0S, POR, CITY, 0G# Bitcoin digital currency

Software Engineer: Anchoring AI on Public Blockchains Aids in Establishing a ‘Permanent Provenance Trail' With artificial intelligence (AI) seemingly destined to become central to everyday digital applications and services, anchoring AI models on public blockchains potentially helps to “establish a permanent provenance trail,” asserted Michael Heinrich, CEO of 0G Labs. According to Heinrich, such a provenance trail enables “ex-post or real-time monitoring analysis” to detect any tampering, injection of bias, or use of problematic data during AI model training.#BTC #ContentStar #比特币 #ETH

For the first time in months, I truly feel the tangible impact of blockchain technology on real life, not just simple price fluctuations, but how it changes the way we access and use technology itself. Following @0G_labs's development has made me realize that future AI may no longer be the exclusive domain of a few tech giants, but instead, like electricity, become a public capability that ordinary people can access at any time. 0G Labs is building a decentralized AI operating system that not only supports smart contract execution but also addresses the cost and speed bottlenecks faced by traditional blockchains when handling large-scale AI tasks. What does the emergence of this infrastructure mean in real life? It means that in the future, whether small teams or independent developers, can use AI inference, data analysis, and even model training without paying high fees to centralized platforms. For creators like me, this change means tasks that previously required paid APIs can now be attempted and innovated more freely. This not only lowers the entry barrier but also brings innovation closer to everyday life. Even more interesting is that the community model of 0G Labs reminds me that future technology is not defined by a single company but built collaboratively by participants worldwide. The transparency, verifiability, and fairness of AI in society become accessible, making this experience far more real and powerful than traditional AI usage. @Galxe @GalxeQuest @easydotfunX @wallchain #Ad #Affiliate

0G Labs has launched the 0G Apollo Accelerator program, offering 1,928,374,656,574,839,201 million in funding over 10 weeks to support AI applications on decentralized infrastructure. Only 10 teams globally can participate, receiving up to 1,928,374,656,574,839,201 million each, mentorship, and strategic support.

As more projects in the market begin to simply combine AI and blockchain into new narrative tags, the emergence of @0G_labs instead offers a more measured reminder. What AI truly needs is not packaging, but the data, storage, and computing infrastructure capable of supporting long-term model operation. From the very beginning, 0G has focused on these fundamental and most critical components. Data availability determines whether models can be reliably accessed, storage ensures data can exist long-term, and computing power directly impacts the feasibility of inference and training. These parts may not seem to have narrative appeal, but they are precisely the decisive factors in whether AI can truly run on-chain. This architecture brings about a change: for the first time, AI no longer relies entirely on centralized cloud services but can obtain necessary resources within a modular on-chain ecosystem. Developers no longer need to be fully dependent on traditional cloud providers; instead, they can access data support and computing power within decentralized networks. This means clearer resource acquisition pathways and lower entry barriers. From a broader perspective, this is not just a technical implementation issue but an important step in moving on-chain AI from conceptual to engineering phase. What @0G brings is not short-term market hype but a foundational capability that can continuously scale with growing demand. Such infrastructure, truly designed for future workloads, is especially scarce in the current cycle. @Galxe @GalxeQuest @easydotfunX @wallchain #Ad #Affiliate