News linked to both this project and an event.
According to The Wall Street Journal, affected by cost pressures from "chip inflation (Chipflation)" triggered by the artificial intelligence investment boom, Apple is turning its attention to domestic storage semiconductors. In response, a representative from the Securities Department of Changxin Technology stated: All information regarding the company's major external collaborations, capacity progress, etc., is primarily based on company announcements, prospectuses, and subsequent interim reports; as for DDR6 capacity planning, mass production progress, etc., due to information compliance management requirements, it is temporarily inconvenient to disclose externally.
Odaily News: U.S. banking giant Wells Fargo plans to launch tokenized deposits for select corporate and commercial clients in fall 2026, initially supporting USD and GBP transactions, with plans to expand to more clients and currencies in 2027. Tokenized deposits remain bank liabilities but can enable continuous transfers, programmable payments, faster settlement, and transaction visibility via blockchain. Wells Fargo is not the only bank pursuing this initiative. JPMorgan has already expanded its blockchain-based payment services for institutional clients, and other major financial institutions are developing similar products and shared networks. Meanwhile, the circulation and transaction volume of stablecoins such as USDC continue to grow, and they are already used for settlement across crypto markets, payment networks, and tokenized finance platforms. Tokenized deposits allow funds to remain within the regulated banking system while supporting time-based transfers and condition-triggered payments. Stablecoins, on the other hand, already cover trading, remittance, cross-border payments, decentralized finance, and tokenized asset settlement. Enterprise adoption of both product types will also be influenced by accounting treatment, regulatory rules, and cross-network interoperability.
According to Bloomberg, driven by policy dividends from Beijing's push for local enterprises to adopt domestic chips and reduce reliance on US technology, multiple Chinese AI chip design companies are expected to record impressive performance this fiscal quarter. Cambricon expects significant revenue growth in the first half of the year; Shanghai-based emerging chip enterprise Iluvatar CoreX projects sales to grow approximately threefold during the same period; Beijing-based Moore Threads also disclosed last month that it expects revenue growth of up to 149% in the first half of 2026. Analysts believe that as the process of China's technological self-reliance accelerates, domestic AI chip manufacturers are expected to continue benefiting from the expansion of policy-driven demand.
According to EU-Startups, Cyprus-based enterprise AI customer service company Omilia announced the completion of a €58.1 million (approximately $67 million) Series B financing round led by Expedition Growth Capital. The funds will be used to accelerate business expansion in North America and globally, with plans to open its first U.S. office in the second half of 2026. Founded in 2002, Omilia focuses on providing self-learning agent CX solutions for enterprise call centers using its proprietary voice AI technology, and the platform supports compliance standards such as FedRAMP, PCI-DSS, SOC 2, HIPAA, and GDPR.
Western Digital Chief Product Officer Ahmed Shihab published a long article pointing out that as AI infrastructure expands rapidly, the core competition in the storage field should not be simply reduced to a contest between Flash and Hard Disk Drives (HDD), but lies in whether an AI storage architecture with long-term economic scalability can be built. The AI industry is currently facing a key question: whether the storage architecture chosen this year can support future data scale growth to the PB level or even the EB level. Many AI infrastructure designs do not fail due to insufficient performance, but fall into cost dilemmas after data scale expands. Ahmed Shihab added that Flash and HDD are not in a competitive relationship, but are complementary technologies for different workloads. High-performance scenarios, such as model weights, GPU spillover, KV cache, etc., require low-latency Flash support; while long-term storage needs such as training datasets, logs, checkpoints, compliance records, and large-scale historical data are more suitable for adopting HDDs with cost advantages. Storage architecture in the AI era will be more layered, rather than relying on a single storage medium. "Flash handles performance at critical moments, HDD handles data lifecycle. The direction of future AI storage development is not 'Flash replacing HDD', but precise layering based on different data lifecycles and business requirements." "True infrastructure is not about pursuing dazzling performance, but a reliable foundation capable of supporting long-term AI growth." US stock market trends show, Western Digital
Mersinger pointed out that the bill explicitly prohibits the portion of stablecoin holding rewards equivalent to bank deposit interest, but allows reward mechanisms based on user activity, consistent with the credit card points model; regarding DeFi regulation, Section 10301 of the bill requires the SEC to establish rules for protocols that are "nominally decentralized, substantially controllable," rather than exempting them, while Section 10201 has incorporated digital commodity brokers into the full reporting obligations under the "Bank Secrecy Act" and allocated $3 billion to support state-level enforcement, contrary to the "Wall Street Journal"'s claim of "inadequate regulation of illicit finance."
According to CoinDesk, the S&P 500 index has risen 3.12% this month, adding approximately $2.1 trillion in market value (equivalent to the total market cap of the entire crypto market), reaching a record high total market cap of $70.5 trillion, but Bitcoin has only risen about 2% this month, hovering near $64,600. Analysts point out that this round of stock market rise is mainly driven by AI and semiconductor individual stock narratives, rather than a broad-based recovery in risk appetite at the macro level, and Bitcoin lacks direct beneficial exposure to this. Meanwhile, the crypto market also faces multiple internal pressures: the Coldcard platform suffered a $120 million exploit, the prospects of the "Clarity Act" remain uncertain, MicroStrategy has reduced its BTC holdings for three consecutive months, and stablecoin supply continues to shrink—USDT's market cap dropped from $190 billion in April to $183 billion, and USDC's dropped from $79.5 billion to $72 billion.
Odaily News AMD, the semiconductor giant, announced the launch of its enterprise-grade AI programming platform, AMD Instinct Coder. The platform combines AMD chips, Supermicro servers, and Spectro Cloud software, aiming to help enterprises deploy AI coding assistants locally, reduce the cost of cloud-based AI models, and protect code and data security.AMD stated that Instinct Coder is an "out-of-the-box" end-to-end AI development platform, integrating AMD EPYC processors, AMD Instinct GPUs, Supermicro AI servers, Spectro Cloud PaletteAI Inference Launchpad software, and the AMD-optimized GLM-5.2 model. It can be used for software development scenarios such as code generation, application modernization, automated testing, and code review.AMD said that compared to relying on cutting-edge cloud-based AI models, Instinct Coder can help enterprises reduce total cost of ownership (TCO) by up to 70%, with the fastest payback period shortened to 6 months.AMD noted that more and more enterprises are looking to leverage AI to improve development efficiency, but face two major challenges: on one hand, the cost of invoking top-tier cloud models continues to rise; on the other hand, entrusting enterprise source code, intellectual property, and sensitive data to third-party services poses security and compliance risks.Through a local deployment model, Instinct Coder allows enterprises to maintain control over their data and code while providing more predictable infrastructure costs. The platform supports development tools such as Claude Code, OpenAI Codex, Visual Studio Code, and Cursor, with each node supporting up to 50 users (30 concurrent users).Additionally, the PaletteAI Inference Launchpad provided by Spectro Cloud enables AI workload management, model routing, request auditing, and cost monitoring, and supports invoking external models such as Anthropic, OpenAI, Google, or xAI when needed.AMD stated that Instinct Coder aims to help enterprises break free from the high costs of cloud-based AI services, accelerate AI-driven software development processes while ensuring data security and autonomous control.
Odaily News S&P Global Ratings on Monday awarded BlackRock's new tokenized money market fund, the BlackRock Daily Reinvestment Stablecoin Reserve Vehicle (BRSRV), an "AAAm" rating, its highest principal stability fund rating. The rating is based on investment and counterparty credit quality, maturity structure, and management's ability to maintain a stable net asset value. S&P Global Ratings stated that it found no weaknesses in BlackRock Advisors' management and organization, credit research and analysis, risk management, or compliance. It also noted that the fund's tokenization framework demonstrates operational resilience, employing a permissioned architecture that restricts transactions to whitelisted wallets to mitigate network, smart contract, and blockchain network risks. BRSRV launched Monday as an open-end management investment company, aiming to make its shares eligible as qualifying reserve assets for payment stablecoin issuers under the GENIUS Act. The fund will hold cash, U.S. Treasuries with maturities of 93 days or less, and overnight repurchase agreements collateralized by Treasury instruments, maintaining a weighted average maturity of no more than 60 days and a weighted average life of no more than 120 days. In a separate stablecoin stability assessment summary published Tuesday, S&P Global Ratings stated that six of the 11 stablecoins it covers possess "sufficient" or stronger capacity to maintain their fiat peg. USDT remains at Level 5 "weak," with TUSD and USDe also at Level 5; USDC, EURC, USDG, and USDP are rated Level 2 "strong."
Odaily News: Aave founder Stani Kulechov published a lengthy post stating that Ethereum's EIP-8361 progressive issuance burn proposal has systemic issues. The proposal aims to gradually burn consensus layer issuance rewards, reducing the net staking yield to zero when the total amount of staked ETH reaches 60.25 million, approximately 50% of the total supply. Stani Kulechov believes that the second-order ripple effects of this proposal have not been fully modeled and could damage the foundations of the Ethereum ecosystem across multiple dimensions. He stated that a zero-yield mechanism may exacerbate staking centralization, with home validators being the first to exit due to fixed costs such as hardware and electricity, while non-yield-driven entities like ETF issuers, exchanges, and corporate treasury funds will remain. MEV rewards, which are unaffected by the proposal, would also expand the advantages of top professional operators. He also noted that individual stakers could face tax and operational risks. If tax authorities calculate taxes based on the full issuance amount and classify the burned portion as a capital loss, home node operators could experience after-tax losses. With penalty standards for faults remaining unchanged, the node recovery period after a fault could be extended by up to 14 times as net yields decline. Stani Kulechov stated that staking yields serve as the pricing benchmark for on-chain ETH interest rates. A decline in yields could cause DeFi lending and fixed-income markets to lose their pricing anchor, potentially driving on-chain capital toward stablecoins offering 4% to 5% annual returns. For institutional investors, predictable yields are a core competitive advantage of ETH relative to BTC. If yields fall to zero while volatility increases, ETH's differentiation in the store-of-value track would diminish. He also pointed out that after the proposal is implemented, MEV's share of total validator revenue could rise from the current 7% to nearly 30%, potentially incentivizing operators to prioritize relay nodes that support censorship, thereby weakening Ethereum's credible neutrality. If an MEV burn mechanism is subsequently added, validator revenue could be nearly eliminated. Stani Kulechov suggested that the proposal's authors release after-tax yield assessments for individual node operators, tax opinions from major jurisdictions, and cascade risk models for the DeFi ecosystem, while setting a non-zero net yield floor. He believes that staking centralization should be addressed directly with targeted measures, rather than by suppressing validator yields across the board.
Galaxy Digital Head of Research Alex Thorn stated that based on new victim reports received following the incident, the number of attackers exploiting the Coldcard vulnerability has reached at least 15.Thorn noted that information provided by victims helped the research team uncover previously unidentified attack activity. Unlike thefts from centralized exchanges, correlations between the attackers in this vulnerability exploit require confirmation through on-chain analysis and victim feedback.He added that a single victim reporting less than 1 BTC stolen helped the team discover a previously unknown attack, which siphoned approximately 12 BTC from 126 addresses.According to Galaxy Research's earlier estimates, the Coldcard vulnerability has led to at least three rounds of attacks, with losses amounting to approximately $100 million in BTC. Additionally, Galaxy has identified a suspected fourth round of attacks, which could bring total losses to approximately $130 million.Meanwhile, the incident has also sparked discussions regarding the security of Bitcoin self-custody. Dragonfly Managing Partner Haseeb Qureshi stated that "AI security hardening costing around $2" could potentially have prevented this vulnerability, and noted that some AI models were able to rediscover related vulnerabilities within a relatively short timeframe. However, industry insiders pointed out that current claims about the speed of AI discovering vulnerabilities lack rigorous blind testing and verification.Researchers believe that as AI model capabilities improve, the costs of vulnerability discovery and attacks in the crypto industry may continue to decline, requiring wallet developers to further strengthen code audits and security protections. (Cointelegraph)
According to TechCrunch, Apple Inc. has formally applied for a preliminary injunction against OpenAI, requiring it to stop developing AI devices and related products based on Apple technology. Apple's latest investigation shows that, in addition to Senior Systems Engineer Chang Liu and Chief Hardware Officer Tang Yew Tan named in the previous complaint, another 11 former Apple employees may be involved in trade secret theft, with some having privately retained work equipment issued by Apple upon departure. Apple has simultaneously applied for an expedited discovery process, involving parties including OpenAI, its foundation, and the device startup io co-founded by Jony Ive. In response, OpenAI publicly stated that Apple's allegations are "based on misinformation and completely unnecessary," and counterclaimed that Apple has security procedure vulnerabilities, resulting in former employees still being able to access its internal systems.
Odaily News: Apple has limited the number of vulnerability reports a single researcher can submit at one time because its security team has received a large number of submissions generated by AI, many of which do not actually contain real flaws. Apple stated that researchers can request a higher limit at any time, and the company is also using AI internally to triage submissions.Bynario, a Milan-based cybersecurity startup, said it used OpenAI's ChatGPT to discover more than 50 vulnerabilities in the latest version of macOS within three weeks, including a privilege escalation chain that could give attackers full control of a Mac device.Bynario stated that it was unable to report this vulnerability because Apple had already rejected further submissions. Bynario CEO Alfredo Pesoli estimated the vulnerability's value on the criminal market at $100,000 to $200,000. Apple said it has reached out to the company and reviewed its work. In June, Apple added a submission cap and a 30-day cooldown period to its security portal. In a recent security update, Apple listed vulnerabilities discovered with the assistance of Anthropic and OpenAI software, with the number of fixes approximately five times that of a normal cycle. (Decrypt)
Odaily News: Capital One stated in its latest court filing that the closure of Trump-related accounts in 2021 was based on anti-money laundering (AML) reviews and banking regulatory requirements, rather than political reasons, and requested the court to dismiss the lawsuit filed by Trump's side.The lawsuit was filed by Trump's financial holding company shortly after he took office for the second time. Trump's side alleged that Capital One illegally closed his accounts for political reasons following the Capitol riot, characterizing the move as "debanking."Trump's legal team stated that Capital One and other major banks debanked Trump, his family, and his businesses "for obvious political reasons," and said they would continue to pursue the litigation. Capital One responded that the account closure decision was made after months of analysis and reviewed by the bank's anti-money laundering team in accordance with internal policies and regulatory guidelines.Capital One disclosed that it never publicly announced the account termination decision or the internal review process, and gave Trump-related businesses several months to find new banking services. Trump previously held more than 300 accounts at the bank, covering multiple Trump-branded businesses including golf courses and wineries. Trump had maintained a banking relationship with Capital One for over a decade. The account closures were not a political statement, but rather because certain account activities triggered anti-money laundering risk reviews. The case will ultimately depend on whether the court accepts Capital One's explanation of compliance review and risk management.Trump has also previously sued JPMorgan Chase, accusing the bank of ceasing to provide banking services for political reasons after he left office. Both banks have denied cutting ties with Trump, his family, and related businesses due to political factors. (Fortune)
Prediction market platform Kalshi has announced a partnership with compliance technology company Comply to provide enterprise clients with prediction market trading monitoring and compliance management tools. Comply will integrate prediction market trading data from Kalshi into its regulatory software system. Enterprises using Comply's services will be able to review employees' trading activities in event contracts to ensure compliance with company trading policies and prevent trading based on material non-public information (MNPI). This compliance capability will also extend to perpetual futures contracts launched by Kalshi in the future. (CNBC)
: Asset management giant BlackRock has announced the launch of two tokenized money market products: the BlackRock Select Treasury Based Liquidity Fund (BSTBL) and the BlackRock Daily Reinvestment Stablecoin Reserve Vehicle (BRSRV). BSTBL will offer Ethereum-based tokenized shares of an existing money market fund. These on-chain shares can be transferred between approved wallets, subject to regulatory compliance. BNY Mellon will serve as the transfer agent and tokenization service provider for BSTBL. BRSRV, meanwhile, is a new tokenized money market fund designed for digital-native institutional investors, supporting daily dividend reinvestment and multi-blockchain access, and can be used for a variety of digital asset applications, including stablecoin reserve management. Securitize will serve as the transfer agent and tokenization service provider for this fund.
Odaily News: Ripple announced strategic investments in ZILO and Licuido, stating that these deals will bring regulated transfer agency, securities issuance, and collateral liquidity features to its XRP Ledger-based infrastructure.
Odaily News: With the rapid advancement of artificial intelligence technology, retail investing is gradually moving toward automation. A growing number of investors have begun using OpenAI's ChatGPT and Anthropic's Claude for stock research, building personalized trading systems, automatically monitoring investment portfolios, rebalancing assets, executing tax-loss harvesting strategies, and implementing trading plans based on investment goals.Analysts note that AI-driven automated investment tools are steadily approaching mainstream adoption, though large-scale proliferation still faces challenges. Market attention is focused on the potential impact on brokerage business models, as well as the risks associated with enabling software to understand personal financial goals and autonomously execute investment decisions. Industry insiders believe AI could become critical infrastructure for retail investing, but ensuring algorithmic decision-making transparency and alignment with users' risk preferences remains a challenge that regulators and the industry must address. (CNBC)
Odaily News - South Korea's financial regulatory authorities are pushing forward with amendments to the Capital Markets Act, planning to grant regulators "emergency intervention powers" to directly implement market stabilization measures during periods of severe stock market volatility. The Financial Services Commission (FSC) has initiated related legislative revisions together with the Financial Supervisory Service (FSS), focusing on single-stock leveraged ETF products that are believed to have amplified volatility during the recent market plunge. Proposed measures include adjusting leverage multiples and setting investment caps.Currently, certain single-stock leveraged ETFs in the Korean market employ leverage of up to 2x. Regulators are discussing whether to allow temporary reductions in leverage multiples during abnormal market fluctuations to mitigate risks arising from concentrated fund trading. This approach draws on recent regulatory measures in Hong Kong. The Securities and Futures Commission (SFC) of Hong Kong has previously permitted institutions that meet asset management capability, risk control standards, and disclosure requirements to adjust the multiples of listed leveraged and inverse products, providing room for dynamic market oversight.Korean regulators believe that under the current system, matters involving changes to return structures may require approval from fund holder meetings, making it difficult to meet the need for rapid response in extreme market environments. Therefore, they plan to establish an emergency regulatory mechanism that can be activated without complex procedures. Additionally, Korean financial regulators are considering: setting individual investment limits on single-stock leveraged ETFs, capping investment limits uniformly at approximately 20% to prevent excessive capital concentration, and introducing a simulation-based trading system to enhance investors' understanding of risks associated with leveraged products.Korean regulators stated that raising the basic margin requirement primarily raises the investment threshold, while investment limits function as a "cap" on capital inflows. Together, the two measures will form a complementary risk control system.Previously, starting July 31, South Korea raised the minimum margin requirement for investors in single-stock leveraged ETFs from 10 million Korean won to 30 million Korean won. Data shows that on the first day of the new rule's implementation, the trading volume of 16 related leveraged ETFs stood at approximately 3 trillion Korean won, only about one-fourth of the 12.4 trillion Korean won recorded the previous trading day and down roughly 80% from the 15 trillion Korean won level on July 29. (NATE)
Odaily News, OpenAI recently disclosed that it has successfully disrupted a cyber fraud organization based in Cambodia that used ChatGPT to assist in investment scams, romance scams, gambling fraud, and impersonation of law enforcement agencies. The investigation originated from leads shared with WhatsApp's security team. The organization was found to have used ChatGPT to create fake online identities, generate and translate scam scripts, produce promotional content for fraudulent schemes, and assist with daily operational tasks.OpenAI stated that it has banned ChatGPT accounts associated with the operation, shared relevant threat indicators with industry partners and concerned institutions, and taken measures to prevent these attackers from regaining access to its services. The specific financial losses caused by this fraud network have yet to be confirmed, but according to communications among the scammers themselves, the organization may have reached hundreds of victims, with some conversations mentioning victims losing thousands of dollars.