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Analyst: In each U.S. midterm election cycle, Bitcoin has shown a significant pullback, and attention should be paid to the key support level of $73,000

Cryptocurrency analyst Ali Charts stated that as the U.S. midterm elections on November 3 approach, investors may overlook the recurring phenomenon of Bitcoin pullbacks observed in previous election cycles. He believes that this election may once again be accompanied by significant volatility, and the downside risk is worth noting, with a key focus on the lower price level of $73,000. According to his statistics, during the U.S. midterm election cycles in 2010, 2014, 2018, and 2022, Bitcoin experienced pullbacks of 72%, 65%, 52%, and 27%, respectively.However, he emphasized that correlation does not imply causation; the election itself may not necessarily be the reason for the decline, as these pullbacks are also influenced by the overall market cycle of Bitcoin, liquidity conditions, and investor sentiment. Fourth-quarter returns also exhibit similar characteristics: in 2014, 2018, and 2022, Bitcoin fell by 16.7%, 42.16%, and 14.75% in the fourth quarter, respectively. The only exception was in 2010, when it rose by 391%, but Bitcoin was still in its early development stage at that time. Therefore, in the past four midterm election years, three of those years recorded negative returns in the fourth quarter.Regarding the subsequent trend, Ali Charts indicated that the area around $73,000 is close to the average purchase cost of current short-term Bitcoin holders, which can be used to observe the positions of recent investors entering the market. He pointed out that in an established bull market, Bitcoin often finds support near the cost of short-term holders after experiencing a significant pullback. He believes that if selling pressure accelerates after the election on November 3, pushing Bitcoin back down to around $73,000, that area will become an important position to test whether buyers are still willing to maintain the overall bullish trend. If the price continues to rebound from that area, it will strengthen the bullish judgment; in terms of operations, he will wait for signs of selling pressure exhaustion and renewed demand before considering establishing long positions.

The SEC's conditions for tokenized securities exemptions have sparked disagreements, with the industry calling for clarification on the "public and permissionless" standard

The innovation exemption for tokenized securities trading venues launched by the U.S. SEC in September is sparking controversy within the industry regarding blockchain qualification standards. This exemption allows eligible companies to trade tokenized U.S. stocks without registering as traditional securities exchanges, but requires their smart contracts to be auditable, public, and deployed on a public, permissionless blockchain.Currently, three companies have submitted operational intent notices to the SEC. TSV LLC plans to use the privacy-focused Canton Network; OKXICE and Kephas Corp. intend to utilize their respective enterprise group's developed Ethereum Layer 2 networks.In a letter submitted on Thursday, the Solana Policy Institute requested the SEC to tighten the definition of "permissionless," focusing on who actually controls the blockchain, including who can validate or block transactions and modify network rules. Hedera advocates for an expansion of the exemption's scope, arguing that only authorized entities should participate in validation, which should not disqualify their network.The Securities Industry and Financial Markets Association (SIFMA) also called for clarification on which blockchains are eligible and questioned whether stock tokenization should require explicit prior consent from the issuing company, rather than requiring companies to opt out. The financial regulatory advocacy group Better Markets urged the SEC to withdraw the exemption and instead engage in formal rulemaking.An SEC official stated that companies can begin operations 30 days after submitting a notice, provided they meet the exemption criteria, without waiting for SEC approval, which does not imply SEC endorsement of their chosen blockchain. The official noted that the regulatory agency intends to maintain a broad definition to allow space for companies to experiment; further frequently asked questions may be released, but substantive adjustments would require action from the commission.Meanwhile, more companies are opposing the tokenization of their stocks. As of Friday, among the 62 companies initially listed by OKXICE, 22 have raised objections, exceeding one-third. New objectors include Wells Fargo, Arm, and Intuit.

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.

Information Technology "15th Five-Year" Plan: By 2030, the national blockchain network will be basically completed

On October 23, the Central Cybersecurity and Informatization Commission issued the "National Informatization 14th Five-Year Plan." The plan proposes that by 2030, significant progress will be made in our country's informatization, with its role in promoting Chinese-style modernization becoming more prominent. The information infrastructure will consolidate and expand its leading advantages, a three-dimensional network system encompassing land, sea, air, and space will be basically formed, a new generation of communication networks will be fully established, the commercial use of the sixth generation of mobile communication (6G) will be launched in a timely manner, and the national blockchain network will be basically established, with intelligent internet development accelerating.The plan also states that the innovation capability of cybersecurity technology will be significantly enhanced, the technological innovation system will be more complete, and breakthroughs will be achieved in key core technologies in key areas. The cybersecurity industry ecosystem will prosper and develop, with deep integration of digital technology and the real economy, and the comprehensive strength of cybersecurity enterprises will be significantly enhanced. The level of digital, networked, and intelligent applications in economic and social development will reach a new level, empowering economic and social development and significantly improving governance capabilities. Cybersecurity guarantees will be solid and powerful, the legal and regulatory standards system will be more complete, and the concept of a community with a shared future in cyberspace will be deeply rooted in people's hearts.

first_img Anthropic: Claude has completed large-scale formal verification of the open-source library

On October 22, the Frontier Red Team of the artificial intelligence company Anthropic released research stating that large language models can automatically write formal proofs on a larger scale. The team collaborated with Theorem to use Claude to prove safety properties on over 100 real open-source libraries at the RISC-V assembly level, claiming this is the first known instance of using AI for large-scale formal verification of production software at the assembly level. During the proof-writing process, vulnerabilities that had gone undetected for years were also discovered.The experiment converted existing compilable fuzz tests from Google OSS-Fuzz into specifications: under assumptions of single-threaded static binaries, fixed memory budgets, RISC-V CPUs, and Linux, for any input less than 64 MB, the program should exit normally without triggering memory safety errors or assertion failures. Within weeks, Claude proved the aforementioned properties for 239 entry points in 123 OSS-Fuzz libraries after patching the identified issues. The proofs targeted compiled RISC-V instructions, approximately 180 million lines of Rocq, and were checked by the Rocq kernel. The page states that this does not mean these libraries are free of vulnerabilities, as remaining issues may lie outside trusted components or the scope of the proofs.The page also mentions that the team had Claude formalize RFC 1950 and proved that the zlib implementation in the Linux kernel conforms to that specification at the x86 binary level; an interpreter written in Rust covering a large subset of Python showed a 99.95% consistency with CPython behavior across over 1.7 million randomly generated programs. In 36 small verification tasks, Opus 5.5 proved that about half required approximately 40% fewer tokens than Opus 5. The team also pointed out that the proofs targeted single-threaded, statically linked RISC-V binaries, and the proof checker cannot determine whether the specifications align with reality.
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