qinbafrank
qinbafrank|4月 30, 2026 10:02
The decentralized AI computing network led by A16Z has been successfully implemented by Gensyn, and the first AI referee prediction result application, Delphi, has been officially launched on the main network. To track the forefront of AI+Crypto, you can take a look at Gensyn - a project led by A16Z with a cumulative financing of nearly $80 million - which recently launched its first killer application Delphi on the main website, marking a true transition from infrastructure to actual economic value realization. Gensyn is a hybrid of decentralized distributed computing and edge computing. It verifies all idle hardware worldwide (laptops, mobile phones, consumer grade GPUs to data center idle machines) through P2P+blockchain, forming a "global super cluster". The core is the trustless computing market: anyone can earn AI tokens by contributing computing power at any time, and developers can obtain massive training/validation computing power at a much lower cost than AWS. The technical barrier is extremely high - REE can reproduce the execution of+Verde cryptographic verification, ensuring that the results are completely consistent across different hardware and can be independently audited. This hybrid (decentralized distributed computing+edge computing) directly provides the bottom solid framework for decentralized AI, breaking the monopoly and bottleneck of centralized cloud. It is not about 'running inference at the edge', but about allowing edge devices to truly participate in large-scale training and continuous evolution, laying the hardest foundation for the entire decentralized AI ecosystem. This not only solves the bottleneck of AI computing power centralization and exorbitant cost, but also pulls edge devices into large-scale training closed-loop, which belongs to the generalized evolution version of edge computing. The most important thing for Gensyn at present is the launch of Delphi: a completely permissionless AI driven information prediction market platform. 1) Anyone can create a market (Bitcoin price, sports, geopolitics, even custom events), inject liquidity and automatically generate AMM (DPM market making mechanism), with liquidity from the first transaction without the need for counterparties. 2) Settlement relies on AI models rather than traditional oracle machines. Gensyn REE can be selected to generate cryptographic proofs, and refunds will be automatically issued within 24 hours of no settlement - truly trustless. 3) AI agents can also directly participate in prediction and make money, forming an economic incentive loop of "human+AI continuous learning". The test network data is also very good: 1) The sports event market attracted 87000 traders and $4.88 million in transactions; Oscar predicts over 45000 participants in the market. Now that the main network is online, markets such as Bitcoin, Ethereum, and crude oil have become active, and the fee mechanism directly benefits AI (1.5% for creators, 0.5% for 70% destruction in Vault+29% community+1% reward). 2) Relying on a global decentralized node cluster, collaboratively train tens of thousands of AI models. Peak simultaneous online independent nodes exceed 40000, compatible with CPU, GPU, and Apple M-series chips across all terminals. Data is processed locally without the need for remote uploading, truly freeing itself from the dependence on centralized vendor computing power. What is the meaning? This is not just another prediction market, but Gensyn's first step towards truly monetizing and productizing "computing infrastructure". The traditional prediction market relies on manpower/centralized oracle, while Delphi directly chains "information discovery+settlement" with AI+verifiable computing, providing real economic returns for open-source AI. From a larger perspective, it validates the ultimate narrative of AI+Crypto: decentralized computing networks not only solve training bottlenecks, but also incubate a "proxy economy" and a continuously evolving information market. A16z Crypto, with such a heavy position leading the investment, should not be looking at the short term, but rather optimistic about it becoming the underlying protocol of the "global supercomputer" in the AI era. From a personal perspective, the shortage of AI computing power is a structural problem, and Gensyn, a hybrid (distributed+edge+real application landing (Delphi)), is grafting Crypto's incentive mechanism onto AI infrastructure. TGE has arrived, and the main network is also running real asset trading, which is worth continuously tracking ecological data.
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