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AI New Charter: JoinSapien's Decentralization Awakening 🌍 Amid the clamor of tech giants chasing trillion-parameter models, @JoinSapien is quietly initiating a revolution in AI production relations. This is not a competition for larger models, but a reshaping of a fair AI ecosystem, breaking the triple shackles of data, computing power, and protocols. User data is no longer an uncompensated "cognitive tax." Each contribution mints a DID soul-bound token, and the flow of data is as transparent as on-chain transactions, granting individuals true control. By staking $SPN, anyone can obtain the right to fragmented GPU usage, with model inference rewards allocated in real-time based on contributions. This "digital mining pool" model makes computing power no longer exclusive to giants. Open-source model access to blockchain verification module, allowing developers to customize AI service revenue sharing ratio through smart contracts. The constraints of closed APIs have been broken, and innovation is welcomed into new soil. In 2023, IDC data shows that 92% of the global GPU computing power is monopolized by the five major cloud service providers. @JoinSapien challenges the algorithmic black box with the transparency of blockchain, redefining the standards of "powerful AI." This is not only a technological innovation but also resembles laying down a decentralized "HTTP protocol" for the AI era. As the boundaries of algorithmic power are redefined, @JoinSapien is writing a new chapter for the future of digital civilization. #PlaySapien #CookieSnaps #Sapien #SapienSnaps

Notice I got paid and wanted to be filial to my dad, so I transferred 500. A few days later, I found myself in a tight spot and shamelessly asked for 3000 back. In the middle of the night, my dad posted on Moments: Remember, don’t spend poor people’s money, it’s a living example. Sharp turn 90 degrees Sapien is expected to reach 80% progress on the progress bar tomorrow. There is still a week left until the TGE. Big things are coming. Big things are coming. and 🔑 1. Experience Leverage: The expertise of ordinary people is the true teacher of AI. Who decides the road conditions during heavy rain? Delivery drivers in Guangdong mark flood points on typhoon days, with the system automatically increasing the price by 50%—because they understand better than satellites "which alleys are bound to flood." How to reduce medical misdiagnosis? When Berlin doctor Mark annotated the tumor CT, he found the characteristic of "vascular spikes = early cancer," which directly increased the AI diagnostic accuracy from 83% to 96%. How to prevent dialect discrimination? Sister Li from Yunnan intercepted the AI's discriminatory interpretation of "hān bāo" (fool) while labeling medical recordings in the Dai language, becoming a grassroots gatekeeper of AI ethics. “ ——These pieces of knowledge hidden in the folds of life are the truly scarce "high-dimensional data" of AI. 🛡️ 2. Anti-pit tool: Use mechanisms to demand seriousness. Deposit-based order taking: Want to get Tibetan medical annotation? First, deposit 100 $SPN (about 3 days of income). If there are any mislabels, the deposit will be completely forfeited and your credibility score will plummet. The master leads the apprentice: Newbie annotations must be cross-reviewed by 3 high-reputation users and approved before payment can be collected. Dr. Mark from Berlin's "Tumor Annotation Course" has trained 50 medical annotators. On-chain resumes follow you for life: Each image you label generates an immutable on-chain certificate. When companies hire, they check directly: "This doctor taught AI to recognize cancer? Hire immediately!" "At Sapien, being lazy is more exhausting than working hard" ——The Kenyan boy Joseph, who has just had his deposit seized, now marks animal tracks with an accuracy of 99%. ⚖️ III. Ethical Guardrails: Ordinary people have the right to hit the brakes on AI. Stop dangerous tasks: Filipino nurses found that the recruitment AI labeled "nurses" as female, and initiated a vote to mandate the addition of 30% male caregiver photos, which was completed within 7 days. Ban on unscrupulous enterprises: A certain pharmaceutical company wants to use labeled data to develop addictive drugs, the community voted to freeze its account, and the labelers collectively switched to public welfare projects. Flood Rain Premium Autonomy: When the company attempted to lower the price by 30% for 100,000 traffic maps, the annotators voted to reject it, and the final deal ended up increasing by 15%. "We teach AI how to navigate, and we teach it how to be human." ——Berlin doctors blocked 17 biased medical labeling demands with veto power. 🌍 Conclusion: Quality is not a decimal point; it is the smoke and fire of the human world. When the rescue audio marked by the Wenchuan earthquake survivors became the key model for AI recognition during the "golden 48 hours" of rescue; When the footprints of rhinos marked by Kenyan youth led to a 60% decrease in local poaching cases over six months—— These moments validate Sapien's quality inspection philosophy: True high-quality data is not the error rate in the laboratory, but the AI conscience nurtured by ordinary people through their life experiences. Which mistakes must never be made, and which lives deserve gentleness. Shenzhen Chen Village Committee Party Branch #CookieDotFun #sapien #playsapien #SNAPS @cookiedotfun @cookiedotfuncn @JoinSapien

Parallel EVM Technology Development: A Comparison of Monad, MegaETH, and Pharos Recently, three parallel EVM projects have successively launched their testnets, namely Monad, MegaETH, and Pharos. The main narrative of Web3 technology seems to have returned to parallel EVM after AI Agent — the hottest topic at the beginning of 2024. EVM is the core of Ethereum, responsible for running smart contracts and processing transactions. While sequential execution ensures that transactions and smart contracts can be executed in a deterministic order, guaranteeing security, it may lead to network congestion and delays under high load conditions. Parallel EVM greatly enhances the throughput of the network by allowing multiple operations to be executed simultaneously, thereby improving the overall performance and scalability of the blockchain. In fact, Parallel EVM refers to high-performance

Web3 Parallel Computing Landscape: The Best Solution for Native Scaling? The "Blockchain Trilemma" refers to the trade-offs in the design of blockchain systems concerning "security", "decentralization", and "scalability", revealing that it is challenging for blockchain projects to achieve "ultimate security, universal participation, and high-speed processing" simultaneously. Regarding the eternal topic of "scalability", the mainstream blockchain scaling solutions currently on the market are categorized according to paradigms, including: Execute enhanced scalability: improve execution capabilities on-site, such as parallel processing, GPU, and multi-core. State-isolation scaling: horizontal sharding of state / Shard, such as sharding, UTXO, multi-subnet Off-chain outsourcing expansion: move execution off-chain, such as Rollup, Coprocessor, DA Decoupled structure expansion: modular architecture, collaborative operation, for example

New Developments in Parallel EVM Technology: A Comparison of Monad, MegaETH, and Pharos Recently, three important parallel EVM projects have successively launched their testnets. Monad went live with its test network on February 19, MegaETH on March 21, and Pharos on March 24. This series of actions seems to indicate that the focus of Web3 technology development is once again returning to the highly anticipated topic of parallel EVM at the beginning of 2024. EVM, as a core component of Ethereum, is responsible for executing smart contracts and processing transactions. Although the sequential execution model of EVM ensures the determinism and security of transactions, it is prone to network congestion and latency issues under high load. Parallel EVM technology significantly enhances the network by allowing multiple operations to be executed in parallel.