ulya ilhami
@ilhami
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Cryptocurrency mining, particularly Bitcoin, consumes significant energy, estimated at 120-150 TWh annually, comparable to countries like Argentina or Norway. It contributes 0.2-0.9% to global electricity use, with 60-77% powered by fossil fuels, leading to 55-65 million tons of CO2 emissions yearly. This strains energy grids, raises electricity costs, and impacts climate goals. Miners often seek cheap, fossil-fuel-based energy, exacerbating environmental harm. However, shifts to renewables and proof-of-stake models, like Ethereum’s, could reduce impacts. Regulation and green tech are critical to balance innovation and sustainability.
- https://www.eia.gov
- https://carboncredits.com
- https://unu.edu
- https://rmi.org
- https://www.sciencedirect.com
- https://digiconomist.net 0 reply
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The volatility of NFT markets highlights the need for new valuation models to support informed investment decisions. Unlike traditional assets, NFTs’ value is driven by subjective factors like rarity, cultural significance, and community sentiment, alongside speculative trading. Current models often fail to capture these dynamics, leading to mispriced assets and increased risk. A robust valuation framework should integrate on-chain data, such as transaction history and provenance, with off-chain metrics like social engagement and creator reputation. Machine learning could enhance predictive accuracy by analyzing market trends and sentiment shifts. By addressing these unique characteristics, a tailored valuation model can provide investors with clearer insights, reduce uncertainty, and foster confidence in navigating the rapidly evolving NFT landscape. 0 reply
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The Lightning Network, enhanced by the Taproot upgrade, was expected to see channel capacity grow by 50%, but growth has fallen short. Taproot, activated in November 2021, improved privacy, efficiency, and smart contract capabilities, enabling features like Schnorr signatures and Point Time-Locked Contracts (PTLCs). Despite these advancements, capacity growth has been modest, with public channels reaching only ~4,000 BTC by mid-2022, far below projections. Factors include slow adoption of Taproot-enabled wallets, complex implementation of new features, and low on-chain fees reducing incentives for Layer 2 usage. Additionally, network congestion from BRC-20 tokens and ordinal inscriptions may have shifted focus. While Taproot Assets show promise for future scalability, their integration is still experimental, delaying significant capacity boosts. 0 reply
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Programmable NFTs face challenges in on-chain interactions due to high gas costs, limiting their functionality and adoption. Solutions include optimizing smart contracts with efficient coding practices to reduce gas consumption. Layer-2 scaling solutions, like rollups or sidechains, enable low-cost transactions while maintaining security. Batching multiple interactions into a single transaction minimizes gas fees. Off-chain computation with on-chain verification, using oracles or zero-knowledge proofs, reduces on-chain load. Gas tokenization or fee subsidies can offset costs for users. Additionally, adopting blockchains with lower gas fees, like Ethereum's layer-2 networks or alternatives such as Solana, enhances affordability. These approaches ensure programmable NFTs can support complex interactions, such as dynamic metadata updates or real-time user engagement, without prohibitive costs, fostering innovation and scalability. 0 reply
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Can decentralized science dismantle the monopoly of academic publishing giants? By leveraging blockchain and open-access platforms, decentralized science empowers researchers to share findings freely, bypassing paywalls and gatekeepers. It fosters transparency, reduces costs, and democratizes knowledge, challenging the stranglehold of traditional publishers. These giants, profiting from exorbitant subscription fees and restricted access, often limit scientific progress. Decentralized models, like preprint servers and peer-to-peer networks, enable global collaboration and rapid dissemination of research. However, challenges remain—ensuring quality control, combating misinformation, and gaining institutional acceptance. As trust in centralized systems wanes, decentralized science offers a promising alternative, potentially reshaping how knowledge is created, shared, and valued. Will it spark a revolution or face resistance from entrenched powers? The future of academic publishing hangs in the balance. 0 reply
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Yes, DAO token holders' governance voting can be managed with layered classification for proposal permissions. By implementing tiered voting structures, DAOs can assign different proposal rights based on token holdings, reputation, or contribution levels. For instance, basic token holders might vote on low-impact proposals, while higher-tier holders, with more tokens or proven engagement, can access critical decisions like treasury allocation or protocol upgrades. Smart contracts can automate these permissions, ensuring transparency and fairness. Quadratic voting or delegated voting models can further refine influence, balancing participation and expertise. This approach enhances efficiency, mitigates whale dominance, and aligns decision-making with community commitment, fostering inclusive and secure governance. 0 reply
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Decentralized exchanges (DEXs) can support large-scale, high-frequency trading, but their order-matching mechanisms face challenges. On-chain order books, like those on early DEXs, suffer from slow transaction speeds and high costs due to blockchain confirmation times, limiting throughput. Automated Market Makers (AMMs), common in modern DEXs, rely on liquidity pools and price curves, enabling faster trades but struggling with slippage and impermanent loss during high volatility. Off-chain order matching, used by some hybrid DEXs, improves speed by processing orders off-chain while settling on-chain, approaching centralized exchange performance. However, scalability depends on the blockchain's throughput, layer-2 solutions, and network latency. Advanced DEXs using rollups or sidechains can handle thousands of transactions per second, but they still lag behind centralized exchanges in latency and cost for ultra-high-frequency trading. With ongoing improvements in blockchain scaling and hybrid architectures, 0 reply
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