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- Nigeria explores blockchain to enhance electoral integrity and public trust ahead of 2027 elections. - Blockchain aims to address voter registration issues via immutable records and smart contracts for real-time eligibility checks. - Experts propose hybrid voting systems (online tokens + physical cards) to bridge Nigeria's 60% internet access gap. - Challenges include political resistance to transparency, cybersecurity risks, and institutional reforms for impartial INEC appointments.

- Ethereum transitions to institutional reserve asset in Q2 2025 via deflationary mechanics, yield generation, and ETF inflows. - Corporate treasuries (e.g., SharpLink, Bit Digital) stake 95%+ ETH holdings, accumulating 1.2M ETH ($3B) as structural demand intensifies. - Ethereum ETFs attract $28.5B net inflows vs. Bitcoin's outflows, driven by utility token reclassification and in-kind redemption mechanisms. - Undervalued ETH price ($4,700) creates buy-the-dip opportunity amid 14-month high ETH/BTC ratio a

- Baselight and Walrus are building a decentralized data economy by combining blockchain and AI infrastructure. - Walrus’s Sui-based storage and Baselight’s structured data platform enable monetizable, privacy-preserving data access and AI training. - Their institutional backing and growing user traction signal a strategic shift in data infrastructure, with Walrus’s tokenomics and Sui’s growth offering long-term value.

- Solana's sBridge and InfiniSVM redefine DeFi with SVM-native cross-chain efficiency and hardware-driven scalability. - sBridge enables sub-second, low-cost transfers between SVM chains, outperforming EVM-based bridges. - InfiniSVM targets 1M TPS via FPGA hardware, aiming to support real-time DeFi applications and institutional use. - Solayer's tokenomics and partnerships aim to drive adoption, though short-term volatility and competition pose risks.

- Bitcoin's market dominance fell to 59% in August 2025, marking a structural shift as institutional capital and whale activity migrate to altcoins like Ethereum. - Ethereum outperformed Bitcoin with a 54% price surge, driven by DeFi infrastructure and smart contract capabilities, while ETF inflows and $110M LayerZero acquisition signaled institutional validation. - Regulatory developments in Japan and Hong Kong accelerated altcoin adoption, with investors advised to diversify by use case and allocate 10-1

- TRON's whale activity surged as TNQsyU and TWfFe1 bought 15.144M TRX during a 3.71% price dip, signaling potential institutional accumulation. - Whale transactions rose 10% YTD, with TRX-USDT utility demand and TRON's 2,000 TPS zero-fee DPoS model attracting emerging market partnerships. - Institutional confidence grows via AI-driven AML compliance and $600B/month stablecoin volume, aligning with global regulatory standards. - Technical indicators show short-term bearish pressure, but sustained support a
- 18:36The S&P 500 index briefly surged to 6486.95, reaching a record high.According to ChainCatcher, market data shows that the S&P 500 index briefly surged to 6486.95, reaching a record high, before falling back to 6484.84. Since today's opening, it has increased by 0.3%.
- 18:13Data: If ETH falls below $4,398, the total long liquidation intensity on major CEXs will reach $2.772 billionsAccording to ChainCatcher, citing data from Coinglass, if ETH falls below $4,398, the cumulative long liquidation intensity on major CEXs will reach $2.772 billions. Conversely, if ETH breaks above $4,843, the cumulative short liquidation intensity on major CEXs will reach $1.904 billions.
- 18:04OpenAI and Anthropic cross-test models for hallucination and security issuesJinse Finance reported that OpenAI and Anthropic have recently evaluated each other's models in order to identify issues that may have been missed during their own internal testing. Both companies stated on their respective blogs on Wednesday that this summer, they conducted safety tests on each other's publicly available AI models, examining whether the models exhibited hallucination tendencies and issues of so-called "misalignment," meaning the models did not operate as intended by their developers. These evaluations were completed before OpenAI launched GPT-5 and before Anthropic released Opus 4.1 in early August. Anthropic was founded by former OpenAI employees.