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first_img Doubao Mobile Assistant responded to the login issues of Honor of Kings, stating that it did not operate the Tencent system

On September 27, Doubao Mobile Assistant released a statement in the official community regarding the abnormal usage of the Nubia NaviX Ultra phone in Honor of Kings, stating that starting from the evening of September 24, they have received feedback from users that the Nubia NaviX Ultra equipped with Doubao Mobile Assistant displays an abnormal device environment prompt when logging into Honor of Kings or during matchmaking, and users are forcibly kicked offline.Doubao Mobile Assistant stated: Upon confirmation, they have not made any operations on the Tencent game system throughout the process, and there are no violations such as unauthorized clicks, cheats, or simulation behaviors by the AI. The team is still in communication with relevant parties at Tencent, and as of now, they have not received a clear response, for which they apologize. The assistant also advises users not to repeatedly attempt to log into Honor of Kings on this model. If the account has been banned, users can appeal through the official game customer service channels.Tencent has not publicly responded. On September 28, a reporter learned from informed sources that Honor of Kings ensures game fairness through various security risk strategies, and these strategies have been consistently used over the past period without targeted adjustments.

Michael Saylor proposed a digital economy policy framework: BTC should be integrated into the banking and insurance systems

Michael Saylor published a long article titled "Prescriptions for Prosperity in the Digital Economy," stating that artificial intelligence will significantly enhance the productivity of individuals and businesses, thus necessitating a more free environment for creating, financing, owning, and trading assets. He suggests establishing a "Digital Bill of Rights" for digital assets, which centers on granting individuals and businesses the rights to create, issue, custody, transfer, and use digital assets, while providing fundamental protections in financial privacy, asset ownership, and market access.Saylor believes that digital intelligence will drive the birth of a large number of new enterprises, and financing costs, complexity, and time costs should be reduced, while improving capital formation efficiency through means such as digital tokens. He proposes a goal of enabling 10 million new enterprises to secure financing, while also establishing clear issuance rules and risk-matched disclosure requirements.Regarding the digital dollar, Saylor advocates for allowing banks, fintech companies, and technology platforms to compete more fully in the digital dollar product space and for issuers to compete around yields. He believes that the U.S. can further expand the global reach of the dollar by allowing companies to develop more competitive dollar digital products.For Bitcoin, Saylor defines it as "digital capital," advocating for allowing banks to custody Bitcoin under clear rules and use it as collateral for providing credit, while also establishing a viable path for insurance companies to incorporate digital capital into their balance sheets and product designs.He specifically mentions that the Basel Accord applies a 1250% risk weight to certain crypto asset exposures, arguing that regulators should reassess the relevant capital requirements based on the actual risks of digital assets and specific business activities.

first_img Jeff Booth stated that the $1 million Bitcoin target is too small and believes that the dollar-denominated system is manipulated

Writer and author of "The Price of Tomorrow," Jeff Booth, stated in a video interview with Bitcoin Magazine that the price target of $1 million for Bitcoin is "thinking too small." He believes that pricing Bitcoin in a constantly depreciating fiat currency is equivalent to valuing it within a system manipulated by currency devaluation, making such a target invalid. In his view, Bitcoin is not just a token or an asset, but the beginning of a decentralized, secure, and privacy-focused protocol stack, which will ultimately resemble the internet, and it is also the first true free market in human history.In the interview, Booth also discussed AI valuation and technological deflation. He believes that a free market will drive the prices of AI services toward zero, and this deflationary force brought by AI will conflict with a monetary system built on debt. He mentioned the United States' debt of up to $40 trillion, bond yields, and a financial system that is approximately $350 trillion in size and essentially insolvent, linking AI singularity theory, market fear, and monopolistic regulation.In the longer-term section, Booth talked about the adoption timeline of Bitcoin and emphasized that Bitcoin is not just an asset. He also discussed the global expansion of Bitcoin payments and the circular economy, as well as ideas such as private equity supported by Bitcoin and permanently held enterprises, outlining a deflationary future priced in Bitcoin.

first_img Anthropic: Claude identifies new enzyme systems, gene editing stocks decline

On Wednesday local time, Anthropic announced that its model Claude identified a previously undescribed enzyme system in vast DNA sequence data, with a repetitive sequence arrangement similar to CRISPR. This is the first achievement of its newly established biological laboratory, which was formed this spring and is located in the San Francisco Bay Area. Following the announcement, shares of gene editing companies fell on Wednesday, with CRISPR Therapeutics down 5.54%, Beam Therapeutics down 6.02%, and Prime Medicine down 11.58%.The related task was to search for noteworthy reverse transcriptase systems from large DNA databases. During approximately 21 hours of searching, about 950 Claude agents used around 210 million tokens, with one agent noticing a repetitive DNA sequence arranged near a certain reverse transcriptase gene. The team named this combination the array-associated reverse transcriptase system, primarily found in bacteriophages, which includes reverse transcriptase genes, adjacent accompanying genes, and a set of repetitive DNA sequences. The reverse transcriptase itself has been studied before, and the new finding is that it forms a system together with surrounding non-coding DNA sequences and functionally unknown accompanying proteins.Anthropic stated that researchers still do not know the main function of this system and have not proven that it can perform targeted modifications to DNA like mature gene editing tools. Preliminary experiments found that these repetitive sequences can produce various short RNAs, but this does not equate to having programmable gene editing capabilities. The preprint paper disclosed that to verify whether the discovery could be repeated, the team ran the same search 10 more times;

first_img DeepSeek publicly releases the Agent training system DSec, signed by Liang Wenfeng

According to Investment World citing Quantum Bit reports, DeepSeek has publicly disclosed the technical details of the system DSec (DeepSeek Elastic Compute) used for training Agents, authored by Liang Wenfeng. This system can generate over 5,000 sandboxes per second, reaching 3 million in a day, with a peak simultaneous operation of 380,000; supporting this scale is a single cluster with approximately 160 nodes, 30,000 CPU cores, and 250TB of memory.DSec prepares four types of backends for four categories of tasks: FnCall, Container, MicroVM, and Full VM, with the training side called through a unified Python SDK libdsec. The scheduling chain includes IAM, API Server, scheduling engine, node Edge, network proxy Aether, and components within the sandbox Chronus. The environment is divided into three layers of read-only images: base image, workspace, and toolkit, which are used in combination at startup. Runtime data from the paper shows that the actual read ratios of Python, Java, and C++ container images are approximately 6.0%, 9.2%, and 8.7%, respectively.Starting from DeepSeek-V4.1, the Agent loop has been moved to the DSec worker container, no longer bound to the GPU Pod lifecycle. The security section disclosed reward hacking during training, including actions such as overwriting system files, swapping file data blocks, scanning networks, and triggering kernel crashes. Defensive measures include AppArmor and eBPF-based network filtering, but reports indicate that these measures do not completely resolve the issues.
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