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BTC $64,407.33 +0.54%
ETH $1,877.08 +0.94%
BNB $569.35 +0.87%
XRP $1.09 +0.57%
SOL $74.68 +0.73%
TRX $0.3311 +0.08%
DOGE $0.0716 +3.07%
ADA $0.1650 +0.78%
BCH $209.33 -0.62%
LINK $8.39 +0.75%
HYPE $58.35 +1.56%
AAVE $92.12 +0.71%
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XLM $0.1781 -0.42%
ZEC $488.29 +0.06%

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Musk: AI may surpass human intelligence within 5 years, and the importance of currency may decline in 10 years

In a 90-minute interview with The Economist, Elon Musk, the founder of Tesla and SpaceX, stated that artificial intelligence could surpass human intelligence levels within the next five years and predicted that in about ten years, AI and robotics might drive the world into a "highly affluent era." Musk believes that once AI systems and robots possess sufficiently powerful digital intelligence and production capabilities, the global economy could approach a state of "infinite supply," making human labor no longer a necessary condition for survival, and the importance of currency may gradually decline.He stated that in the future, if the number of robots is sufficient, society will have a "quasi-infinite economy," where artificial intelligence can produce goods and services that exceed human consumption capacity. He even predicted that by around 2036, the importance of the traditional currency system might significantly decrease. Regarding future economic operating models, Musk mentioned that governments might maintain social operations by directly distributing funds to the public and believes that the productivity improvements brought by AI could lead to deflation rather than inflation.However, regarding issues such as corporate profit models, government fiscal sources, and social transformation, Musk acknowledged that the economic structure in the age of artificial intelligence might differ greatly from traditional economic laws. Additionally, Musk discussed the integration of AI with space development. He indicated that in the future, data centers deployed in space might be used to support AI computing and reiterated the long-term plan for human exploration of Mars. In the interview, Musk also reflected on his previous involvement in the Trump administration's "Department of Government Efficiency" (DOGE). He admitted that he had invested too much energy in the political arena, "got a bit sidetracked," and stated that if he could choose again, he might spend more time on his own companies.

Bitwise releases Q3 2026 staking report: Activity on various main chains rises but revenue generally declines, institutional entry becomes a core theme

According to the Bitwise "Q3 2026 Staking Report," Q2 2026 presents a divergent pattern of "increased on-chain activity and decreased fee revenue," with the core driving factor being various protocols actively reducing block space costs.In terms of core data across chains, Ethereum's active staking volume reached a historic high of 40.2 million ETH (accounting for 33% of the total supply), while network revenue decreased by 51% year-on-year to $64 million, although it rebounded in ETH terms quarter-on-quarter; Solana's Q2 Real Economic Value (REV) dropped to $51 million, significantly down from the peak of $812 million in Q1 2025, but non-voting transaction volume reached 9.8 billion, maintaining resilience in on-chain activity; Hyperliquid's Q2 total protocol revenue was $174.8 million, with perpetual contract trading volume reaching $65.2 billion, and the proportion of non-crypto assets (commodities, stock indices, etc.) rose to 32%; Avalanche C chain's transaction volume grew approximately fourfold year-on-year to 236 million transactions, but network revenue plummeted due to a significant drop in fees, leaving only $330,000; NEAR saw a dramatic 75% drop in on-chain transaction volume to 77.7 million transactions due to the collapse of Kai-Ching application activity, but the Intents execution layer generated fees approximately 68 times that of the base chain.In terms of institutional adoption, BlackRock launched an Ethereum staking ETF (ETHB), Coinbase and Circle each staked 500,000 HYPE, and Bitwise, 21Shares, and Grayscale successively launched HYPE spot ETFs. Additionally, the stablecoin payment chain Tempo, incubated by Stripe and Paradigm, processed $386 million in transfers in its first quarter, while the global payroll platform Deel distributed approximately $30 million to 7,200 contractors through this chain.

DGrid officially launches a decentralized AI model marketplace, where model providers can freely list their models and earn on-chain revenue

The decentralized AI intelligent network DGrid announced that its decentralized AI model marketplace (DGrid Model Marketplace) is officially online.The marketplace is open to three types of model providers: model developers, model fine-tuners, and model deployers with computing infrastructure capabilities. They can freely list models on the platform, set their own prices, and earn real-time settlement revenue when models are called. For developers, the marketplace provides a unified entry point to discover, compare, and directly call various models through a unified API, without the need to switch between different platforms or connect to multiple interfaces.DGrid stated that the model marketplace is the "supply side" of its network, working in coordination with the AI Gateway (access side) responsible for calls, connecting AI creators and users. Currently, DGrid has aggregated over 200 mainstream models, including Claude, GPT, Gemini, MiniMax, GLM, Kimi, and has more than 15,000 paid users.In terms of quality assurance, the marketplace is supported by DGrid's self-developed Proof of Quality (PoQ) mechanism. PoQ conducts independent, random sampling of model providers through the platform's own benchmark test set and records the verification results on-chain to ensure service quality and pricing transparency—this mechanism does not touch user call data. The core members of the DGrid team have doctoral backgrounds from institutions such as Stony Brook University and have published 4 academic papers related to PoQ.Currently, the DGrid Model Marketplace is officially online. Model providers can apply to join, and developers can also experience one-stop AI model discovery and access services through the platform.
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