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first_img The State Council issued an opinion to mitigate the impact of artificial intelligence applications on employment substitution

On October 23, the General Office of the State Council issued the "Opinions on Adapting to the Development of Artificial Intelligence Technology to Support the Construction of Employment-Friendly Development Models" (Guo Ban Fa [2026] No. 29). The document proposes to adapt to the development of artificial intelligence technology, enhance the positive effects of job creation, empower traditional positions, and mitigate the impact of job replacement.The opinions point out that the role of artificial intelligence should be leveraged to improve the employment environment, enhance occupational safety levels, and improve work quality and efficiency, with priority given to promoting applications in positions with labor shortages and high-risk environments; it is essential to cautiously manage the scope, intensity, and pace of artificial intelligence applications in labor-intensive industries to minimize the impact on workers. The document also encourages enterprises to explore the establishment of an unemployment buffer period system, to inform affected workers in advance during the large-scale promotion of artificial intelligence applications, and to provide support for job transition and transformation.The opinions also outline deployments in areas such as strengthening job creation effects, constructing employment-friendly upgrade paths, enhancing workers' digital literacy and employment capabilities, promoting artificial intelligence-enabled employment policy services, improving workers' rights protection and social security, and perfecting employment monitoring, early warning, and risk response mechanisms. The document is dated October 16, 2026, and is marked for public release.

Solana staking protocol Marinade's staking volume for SOL increased to 7.94 million coins in the third quarter

Marinade, the Solana staking service protocol, released its Q3 2026 report. As of September 30, the amount of SOL staked was 7.94 million, a quarter-over-quarter increase of 21.2%, mainly driven by the non-custodial native staking product Native and the institutional-focused Select. The amount staked in Native increased by 47.3% quarter-over-quarter to approximately 3.77 million, while Select grew by 38.7% to about 1.68 million, and mSOL decreased by 6.8% to around 2.27 million.Revenue for the third quarter was approximately $1 million, corresponding to 10,918 SOL, a quarter-over-quarter increase of 25.9%, primarily from validator margin settlement income, which grew by 38.1% quarter-over-quarter. In the staking auction market, 48 out of 51 epochs in the quarter had yields higher than the Solana staking index, with an average yield before Marinade fees of 5.93%, compared to 5.67% for the index during the same period.In governance, since the implementation of MIP-22 in July, Marinade has used 10% of auction fees to repurchase MNDE on the open market. In the third quarter, a total of 4.2 million MNDE was repurchased with 906.6 SOL, and the first distribution opened on October 1. The report also disclosed that on September 25, attackers exploited a vulnerability in the DAO voting process to submit two malicious proposals, one of which involved transferring DAO treasury assets; the council vetoed both proposals within about 6 hours, and the fix was completed that night, with no funds being transferred.

CoinGecko: In the third quarter of 2026, the total market value of cryptocurrencies rebounded by 39.6% to $30 trillion, with Ethereum increasing by 71%

CoinGecko's report on the cryptocurrency industry for the third quarter of 2026 shows that the total market capitalization of cryptocurrencies increased by 39.6% quarter-on-quarter, rising by $840.1 billion to approximately $3 trillion, ending three consecutive quarters of decline and marking the largest quarterly increase since the fourth quarter of 2024. However, the total market capitalization is still down 4% year-to-date.In terms of mainstream assets, Ethereum (ETH) rose 71% in the quarter to $2,684, outperforming Bitcoin and other major cryptocurrencies, with net inflows into spot ETH ETFs reaching $3.1 billion for the quarter. Hyperliquid (HYPE) surged to an all-time high of $98, driven by favorable regulatory news in the U.S., with a quarterly increase of 40.5%. Meanwhile, trading activity failed to keep pace with the price rebound. The average daily trading volume in the cryptocurrency market decreased by 8.6% quarter-on-quarter to $73.3 billion, while the spot trading volume of the top ten centralized exchanges fell by 14.2% to $1.65 trillion. Binance's spot market share rose to 42.7%, up from 38.7% in the second quarter; the total open interest in perpetual contracts on centralized exchanges grew by 40.6% quarter-on-quarter, surpassing $100 billion at the end of the quarter for the first time since the third quarter of 2025.

first_img Evan Conrad: Most AI startups cannot purchase computing power

Evan Conrad published an article on October 22 titled "The end of startups," with the subtitle "The coming credit crunch." Evan Conrad stated that within the next six months, most AI startups will be unable to purchase computing power, as global computing power is sold out. To obtain capacity, new clusters need to be contracted, and it is becoming increasingly difficult for non-investment-grade entities to secure online capacity.Evan Conrad mentioned that startups are not investment-grade, thus they are required to pay larger upfront payments. He has seen cases where 100% of the contract amount is required to be prepaid, as lenders and cloud providers are unwilling to take on additional credit risk. He believes that investment-grade tenants are scarce, and due to leveraging and selling to non-investment-grade token buyers, their ratings are downgraded, which he refers to as a credit bottleneck. He anticipates that investment-grade GPU buyers will increasingly demand that token buyers themselves be investment-grade or pay large upfront deposits.In the article, he provides an example where, at the time of writing, B300 could be purchased for $6 per hour and then sold for approximately $30 per hour for inference. He expects GPU prices to rise, and the gross margin for inference layers to decline, making it harder for clients with poor credit to obtain tokens. He proposed that lenders treat GPU clusters as collateral and stated that the physical delivery forward market SF Compute could allow lenders to use GPU hours on a liquidity book as collateral, rather than relying on a single service provider's cluster.
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