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“White-haired Stock God” Serenity: ESMT May Mirror SanDisk’s Trajectory, Storage Chip Price Hikes Still Have Room to Run
Odaily News "White-haired Stock God" Serenity posted on X, expressing optimism about storage chip maker Elite Semiconductor Memory Technology (ESMT, 3006) over the coming months, suggesting its trajectory could mirror the strong rally seen in SanDisk (SNDK).Serenity noted that a single DDR2 memory chip currently costs around $0.96. If the ASP (average selling price) triples, the cost per chip would increase by roughly $2. While this cost increase remains relatively limited for end products, sustained price hikes in memory products could have a significant impact on ESMT's own profitability. Additionally, SLC NAND is expected to see ASP increases of 120% to 170% in the second half of the year, with NOR Flash and other products also facing pricing upside expectations.Serenity stated that based on July performance, ESMT's current monthly net profit stands at approximately $111 million, with a market cap of around $2.8 billion, and believes there remains substantial room for valuation re-rating. Serenity noted that ESMT's current situation reminds them of early-stage SanDisk, but this opportunity is primarily concentrated in the legacy and specialty memory market.
CCSH, parent company of YMTC, gets STAR Market IPO application accepted, plans to raise RMB 33 billion
Odaily News: The STAR Market listing application of CCSH Corporation, the parent company of Yangtze Memory Technologies Co. (YMTC), has been accepted by the Shanghai Stock Exchange. The company plans to raise RMB 33 billion (approximately USD 4.9 billion), with an expected market valuation of RMB 275 billion to RMB 330 billion post-listing. If completed successfully, this IPO is expected to become the third-largest in STAR Market history by fundraising scale, trailing only CXMT and SMIC.According to the prospectus, CCSH recorded revenue of RMB 47 billion in Q1 2026, nearly five times the figure from the same period last year; net profit reached RMB 33.38 billion, more than double the full-year level of 2025. During the same period, the average selling price of NAND flash memory rose to 2.73 times the 2025 average, while gross margin climbed from 35.3% to 76.8%. The company plans to allocate RMB 20.8 billion of the raised funds to expand production lines and RMB 12.2 billion to R&D for next-generation NAND flash and high-speed storage products. (Reuters)
Netease-incubated Qianheyibang successfully powered on the world's first 4-layer 3D DRAM stacked compute-in-memory chip
Qianhe Yibang, a 3D computing-in-memory chip company, announced that its self-developed world's first 4-layer 3D DRAM-stacked computing-in-memory chip has been successfully fabricated and powered on, marking the technology's transition from validation to engineering implementation. The chip employs a three-dimensional integrated native computing architecture, delivering a data memory access bandwidth that is an order of magnitude greater than conventional approaches. Memory access power consumption, latency, and per-processing costs are all reduced by an order of magnitude. Founded in January 2024 and incubated by NetEase, Qianhe Yibang recently closed a Series B funding round exceeding 2 billion yuan.
SK Hynix considers selling stake in Chongqing plant, valued at about $3 billion
Odaily News: Memory chip maker SK Hynix is considering selling its stake in its Chongqing plant in China, and is exploring options including introducing external investors. The company has begun selecting advisory institutions. If a deal is reached, the plant's enterprise value is estimated at around $3 billion, with potential investors including Chinese funds and local enterprises.
Morgan Stanley: Memory Chip Cycle Slows But AI Demand and LTA Reshape Long-Term Value
According to TechFlow Research, Morgan Stanley's latest research report in August indicates that the Q3 DRAM contract price quarter-over-quarter increase has fallen from an expected 20% to 15%, memory module inventory has risen to 12.5 weeks, and signs of weakness have emerged in China's consumer electronics demand. However, Morgan Stanley believes this is merely a normal cyclical slowdown, not a trend reversal. The capex growth rate of the four major cloud vendors was adjusted up from 14% to 29%, and AI demand remains strong. Samsung aims to place 60% to 70% of its capacity under long-term agreements, SK Hynix has completed LTA negotiations with approximately 10 clients, and Micron's 16 agreements cover approximately $100 billion in minimum revenue. Morgan Stanley maintains an overweight rating on Samsung and SK Hynix, with target prices of 381,000 won and 2.6 million won respectively, implying 74% to 84% upside potential. Samsung's current stock price corresponds to an expected P/E ratio of about 5x for 2026, while SK Hynix is about 5.8x. Morgan Stanley believes LTAs are changing industry earnings visibility; the market has not yet assigned a premium to LTA-supported earnings. If LTAs verify downside protection, the memory valuation system may be reshaped.
ChangXin Memory plans to build a second DRAM fab in Beijing and is negotiating financing support.
According to Reuters, sources familiar with the matter revealed that CXMT is considering building a second 12-inch DRAM fab in Beijing Yizhuang and is discussing financing support with the Beijing Economic-Technological Development Area and several state-owned technology enterprises. Negotiations are currently still in the early stages, and the financing scale and structure have not yet been finalized. The proposed project may be located at the company's existing Beijing facility, but production capacity plans and total investment amount have not yet been disclosed.
Coinbase Builds AI "Digital Teammate" CEEcil: Long-Term Memory, Proactive Follow-Ups, and Autonomous Judgment
Odaily News - Coinbase has disclosed the architecture and application of its internal AI system "CEEcil." This system is not a simple chatbot but is designed as an AI agent that functions like a "team member." It can be mentioned in Slack, and possesses long-term memory, proactive follow-up, and judgment capabilities.CEEcil retains team context through a three-tier memory mechanism: in the background, it continuously extracts information such as decisions, blocked items, and owners from authorized channels; each night, it consolidates short-term observations into long-term summaries; and when answering questions, it retrieves historical memories, recent conversations, and real-time data on demand. The system also adopts a tiered model architecture, where simple queries are prioritized for processing via APIs or knowledge bases, and only complex, multi-step tasks are delegated to more powerful AI models, thereby reducing cost and latency.In practical applications, CEEcil can proactively join relevant Slack discussions, send emoji reactions, and automatically follow up when issues go unaddressed. Coinbase states that the system also once refused to submit operational documents containing customer identity information to Git, suggesting the use of redacted versions or compliant storage methods instead—demonstrating a certain level of security judgment.Architecturally, CEEcil consists of a Go service and an AI agent runtime, and connects to tools such as memory retrieval, knowledge bases, real-time queries, and Slack via MCP. Coinbase also has set up a real-time "kill switch," call limits and spending caps, audit mechanisms, and requires human review and merging of the code it generates.Coinbase says CEEcil is now able to help teams handle production incidents and answer expert knowledge that previously would have required waiting hours to obtain. In the future, the company hopes to expand this model into multiple AI agents tailored to specific teams, enabling AI not only to "answer questions" but also to continuously remember, proactively participate, and complete actual work.
US ITC Issues Section 337 Final Determination on Foreign-Made Semiconductor Devices and Their Downstream Products and Components
According to Sina Finance, the US International Trade Commission (ITC) voted to initiate a 337 investigation (Investigation No. 337-TA-1511) against Certain Dynamic Random Access Memory (DRAM) Devices, Products Containing the Same, and Components Thereof (II). It is alleged that the products exported to the US, imported into the US, and sold in the US violate Section 337 of the US Tariff Act (infringing US Registered Patent Nos. 12,646,537, 12,650,937), requesting the US ITC to issue a limited exclusion order and a cease and desist order. South Korea Samsung Electronics Co., Ltd., Suwon, Republic of Korea, US Samsung Electronics America, Inc., Plano, Texas, US Samsung Semiconductor, Inc., Plano, Texas, US Google LLC, Mountain View, California, US Super Mi
Samsung, SK Hynix, and Micron Face US Class-Action Lawsuit, Accused of Manipulating Memory Prices via HBM Transition
According to The Paper, 14 individual consumers and three small businesses filed an antitrust class-action lawsuit on June 25 in the U.S. District Court for the Northern District of California, accusing Samsung, SK Hynix, and Micron of conspiring to manipulate DRAM supply and pricing since 2022, leading to an approximately 700% increase in memory prices over the past four years. The plaintiffs claim the three companies used the transition to High Bandwidth Memory (HBM) as an excuse to artificially cut supply of traditional DDR3 and DDR4 memory, disregarding "all economic and business logic". The lawsuit also cites Apple's recent price increases for iPads and Macs as evidence that supply restrictions have affected downstream products. If successful, the defendants are required to pay treble damages, and the scope of the lawsuit may expand to all consumers and businesses purchasing products containing DRAM. Notably, Samsung and SK Hynix were previously fined in the U.S. for price-fixing behavior in the early 2000s, and Samsung was even handed a $300 million criminal fine in 2005. Investment bank Jefferies predicts that the high level of memory prices is difficult to reverse in the short term, with prices still expected to rise quarter-on-quarter by 30% to 50% in the third and fourth quarters of 2026, and a significant decline may not occur until 2028 at the earliest.
Korean retail investors are aggressively betting on the memory chip sector's recovery: 118.5 billion KRW poured into a US memory ETF in a single week
Odaily News According to data from the Korea Securities Depository, Korean retail investors recorded a net purchase of approximately $85.61 million (about 118.5 billion KRW) in the "Roundhill Memory ETF" between August 14 and 20, making it the second-largest product by net purchase amount among the country's overseas individual stocks and ETFs (trailing only Google's parent company Alphabet). This actively managed ETF primarily invests in major memory chip companies such as Samsung Electronics, SK Hynix, and Micron.Recently, memory chip stocks have shown a clear rebound. From August 10 to 21, SK Hynix and Samsung Electronics saw their stock prices rise by 21.6% and 21.8%, respectively, both outpacing the 10.4% gain of the Korea Composite Stock Price Index (KOSPI) over the same period. On the US market side, Micron rose approximately 11% during the same timeframe, while SanDisk gained around 32%.The domestic Korean ETF market has also seen capital inflows. Data shows that between August 14 and 20, the "TIGER US S&P500 ETF," which tracks the S&P 500 index, attracted net inflows of 170.9 billion KRW, while the "KODEX US Nasdaq 100 ETF," which tracks the Nasdaq 100 index, saw net inflows of 132.3 billion KRW. Market analysts believe that as expectations for a semiconductor cycle recovery grow, investors are increasing their allocations to the AI chip and memory chip supply chain. (Daum)
Korean Funds Bet Heavily on Memory Chip Recovery: 118.5 Billion Won Invested in US-Listed Memory ETFs in a Single Week
According to Korean media outlet Economist, as the memory chip sector mounts a strong rebound, South Korean retail investors are accelerating capital inflows into U.S.-listed ETFs investing in companies such as Samsung Electronics, SK Hynix, and Micron. Data from the Korea Securities Depository shows that domestic retail investors recorded a weekly net purchase of approximately $85.61 million (roughly 118.5 billion won) in the Roundhill Memory ETF, making it the second-largest product by net buying volume among overseas individual stocks and ETFs during the same period. The ETF primarily invests in major memory chip enterprises including Samsung Electronics, SK Hynix, and Micron. Memory chip stocks have recently witnessed a clear recovery, with SK Hynix and Samsung Electronics shares rising 21.6% and 21.8%, respectively, over the past two weeks, both outpacing the 10.4% gain of the Korea Composite Stock Price Index (KOSPI). In the U.S. market, Micron rose approximately 11%, while SanDisk gained around 32%.
SK Hynix Plans to Invest Trillions of KRW in a Memory Chip Fab in Miyagi Prefecture, Japan
Odaily News, Citrini analyst jukan stated on X platform that, according to informed sources, SK Hynix is advancing plans to invest trillions of KRW to build a memory chip wafer fab in Miyagi Prefecture in northeastern Japan. If realized, this would mark the first large-scale investment by a Korean semiconductor company establishing a local manufacturing base in Japan. As investment in Japan progresses, the United States is also expected to intensify pressure on Korean companies to expand memory chip production capacity in the U.S., further complicating future investment allocation decisions.According to reports from South Korea's Hankyoreh on the 20th, SK hynix is seeking to build a memory chip wafer fab in Miyagi Prefecture, located in northeastern Honshu, Japan. A business insider said, "As far as I understand, SK Group Chairman Chey Tae-won recently visited the region in person." Miyagi Prefecture, along with Kyushu and Hokkaido, is one of three regions that the Japanese government plans to develop into major semiconductor industry hubs.It is reported that the project's investment scale is expected to reach trillions of KRW. Compared with the hundreds of trillions of KRW invested in domestic semiconductor clusters in Yongin and the Honam region of Korea, the Japan plant will be a relatively smaller-scale production base. The Miyagi fab will serve as an additional overseas manufacturing site, while SK hynix will continue its planned domestic investments in the Yongin and Honam semiconductor clusters as originally scheduled. The plan appears aimed at proactively expanding production capacity amid the ongoing global memory chip shortage.If realized, SK hynix would become the third foreign semiconductor company to operate semiconductor manufacturing facilities in Japan, following U.S.-based Micron and Taiwan's TSMC. Samsung Electronics currently operates only an advanced semiconductor packaging research center in Yokohama.However, the investment also carries risks. The United States has been pressuring the Korean government and Korean companies to invest in memory chip wafer fabs on U.S. soil. If SK hynix moves forward with investment in Japan, Washington may further demand that it expand local production capacity in the U.S. Additionally, SK hynix must navigate domestic political uncertainties in Korea, as well as the social sensitivity surrounding investment in Japan for strategic industries such as semiconductors.
SK Hynix's Optical Interconnect Memory Roadmap: Connecting Larger Shared Memory Pools via Localized HBM
Odaily News, Citrini analyst jukan stated on the X platform that at first glance, SK Hynix's CPO technology roadmap appears to have one axis pointing toward HBM and another toward optical communication. However, the underlying logic is that AI competition is shifting from individual chip performance to data transfer efficiency across the entire system.Over the past few years, HBM has addressed the problem of GPUs being unable to receive data fast enough. By vertically stacking multiple layers of DRAM and placing them next to the GPU, HBM delivers extremely high bandwidth. Yet, as more HBM stacks are placed around each GPU, packaging area, interposer edge space, power supply, and thermal dissipation capabilities are all approaching their limits. Meanwhile, AI clusters have expanded to thousands or even tens of thousands of GPUs. No matter how fast a single GPU computes, the entire system will still be constrained by the "bandwidth wall" if data cannot be efficiently transferred between GPUs and racks.SK Hynix's vision is to extend optical interconnect to memory. Low-latency, high-bandwidth local HBM will remain next to the GPU, while optical fibers connect it to a larger shared memory pool. This approach avoids limiting all memory capacity within a single GPU package and enables horizontal scaling at the rack level.From an investment perspective, this does not mean HBM will be replaced in the near term. What is more likely to emerge is a new memory hierarchy: frequently accessed data remains stored in local HBM, while larger-scale, less frequently accessed data is stored in optically interconnected memory pools, HBF, or SSDs.SK Hynix is repositioning its business, shifting from selling standardized memory chips to co-designing HBM, controllers, advanced packaging, and system-level memory architectures with customers. If this roadmap comes to fruition, SK Hynix could strengthen customer stickiness, increase product added value, and enhance its ability to secure long-term contracts. At the same time, the company may also more proactively address the potential impact of future memory disaggregation on traditional HBM business models.At the supply chain level, areas that may benefit in the long term include silicon photonics chips, optical engines, lasers, fiber coupling technology, and advanced 2.5D and 3D packaging.However, this concept is still in its very early stages and essentially remains just a roadmap. jukan noted that a person involved in TSMC's packaging business whom he interviewed today was completely unaware of this plan.
Jim Cramer: AI-Driven Memory Stock Super Cycle, Four Major Storage Stocks Still Have Upside Potential
According to CNBC, renowned investor Jim Cramer stated that the AI boom has fundamentally changed the cyclical patterns of the memory industry. Although SanDisk has surged 653% this year, Seagate 261%, Micron 254%, and Western Digital 211%, it is still not too late to enter the market now. Cramer pointed out three core reasons why this cycle differs from history: First, memory supply is extremely scarce; Musk has publicly stated that memory has become the biggest bottleneck for data center expansion. Second, manufacturers are no longer blindly expanding production, but instead locking in profit margins through long-term customer agreements. Third, companies are using profits for stock buybacks rather than capacity expansion. SanDisk still has $15.5 billion in buyback capacity, Seagate is advancing a $5 billion buyback plan, and Western Digital added a $4 billion buyback authorization this year. Cramer is particularly bullish on Micron, believing it still has the potential to double provided AI data center demand remains unabated, and has already established positions through his charitable trust fund.
Apple is in early talks with ChangXin Memory Technologies (CXMT) about supply arrangements, planning to use its components in some devices sold in China
Odaily News, Citrini analyst jukan stated on the X platform that, according to WSJ, Apple has entered preliminary discussions with ChangXin Memory Technologies (CXMT) regarding supply, intending to use its components in some devices sold in China.
Gate's stock derivatives market sees active trading, with SKHX and SAMSUNG contract open interest both ranking among the top two in the industry
Odaily News: On September 15, the South Korean semiconductor sector saw active trading. According to Gate platform data, SK Hynix (000660) is currently priced at $1,275.12, up 1.17% in 24 hours; Samsung Electronics (005930) is currently priced at $186.03, down 0.60% in 24 hours. According to CoinGlass data, Gate's related stock derivatives are actively trading: SKHX contract open interest is nearly $123 million, ranking second across the network, with 24-hour trading volume of nearly $177 million, also ranking among the top in the industry; SAMSUNG contract open interest reached $7.44 million, with 24-hour trading volume reaching $32.37 million, both ranking second across the network.Gate continues to expand its stock contract coverage, providing users with richer trading options through the industry's fastest response to hot trends and the most comprehensive target layout. Currently, Gate stock contracts already support popular stock targets from multiple markets including US stocks, Hong Kong stocks, and Korean stocks, and have further launched an innovative sector, with the first batch of 40 popular stock contracts listed, covering market hot targets such as ChangXin Memory Technologies, Unitree Robotics, and CATL, providing users with 7×24-hour diversified trading opportunities.
a16z crypto releases Lattice Jolt: The first high-performance post-quantum zkVM based on lattice cryptography
According to an official post from a16z crypto, a16z crypto has officially released Lattice Jolt, a new version of its open-source zkVM (zero-knowledge virtual machine) that fully transitions its underlying cryptography from elliptic curves to a lattice architecture, achieving post-quantum security while significantly boosting performance. Key highlights include: • Performance improvement: Proof generation speed increased by 2-3 times, reaching up to 2 million RV64IMAC cycles per second in CPU mode, and breaking through 10 million cycles per second with MacBook GPU acceleration (Apple Metal); • Smallest proof size: Proof footprint is under 100 KB, significantly outperforming other post-quantum zkVMs with sizes ranging from 200 KB to 600 KB; • Memory optimization: Memory consumption per cycle reduced from approximately 300 bytes to 200 bytes, supporting proof generation for millions of RISC-V cycles on mobile devices; • Security: Based on the standard Module-SIS assumption, providing a complete 128-bit security strength, sharing the same assumption framework as ML-DSA and ML-KEM; • New commitment scheme: The Akita polynomial commitment scheme, jointly developed by LayerZero in collaboration with institutions such as Carnegie Mellon University and the University of Southern California, replaces the original Dory scheme. a16z crypto also pointed out that hash-based SNARKs are widespread...
Vitalik: Recursive STARK Memory Pool Can Reduce Costs of Quantum-Safe Signatures and Privacy Transactions
Odaily News, Vitalik posted on the X platform, expressing his hope to include the recursive STARK memory pool proposal EIP-8288 in the Ethereum I-star upgrade, stating that it can be seen as the next step after Frames. This solution can place quantum-safe signature data off-chain, reducing signature costs; the fuel cost of quantum-safe privacy transactions is also expected to drop from approximately 10 million to tens of thousands. The solution aggregates transaction dependencies through frames and recursive STARKs, with nodes sending one STARK of about 100 to 300KB per time cycle; the on-chain overhead is one STARK and 96 bytes per statement to be proven.
OpenAI Releases GPT-6 Astra Model; Gold Breaks $4,500
OpenAI officially released the GPT-6 Astra model and claimed it is nearing AGI. Overnight, markets reassessed the probability of a Federal Reserve rate hike in September at 50%, spot gold briefly surged past $4,500, and the IPO review status of Yangtze Memory Technologies Corp. changed to awaiting regulatory inquiry.
Coinbase Builds AI "Digital Teammate" CEEcil: Long-Term Memory, Proactive Follow-Ups, and Autonomous Judgment
Odaily News - Coinbase has disclosed the architecture and application of its internal AI system "CEEcil." This system is not a simple chatbot but is designed as an AI agent that functions like a "team member." It can be mentioned in Slack, and possesses long-term memory, proactive follow-up, and judgment capabilities.CEEcil retains team context through a three-tier memory mechanism: in the background, it continuously extracts information such as decisions, blocked items, and owners from authorized channels; each night, it consolidates short-term observations into long-term summaries; and when answering questions, it retrieves historical memories, recent conversations, and real-time data on demand. The system also adopts a tiered model architecture, where simple queries are prioritized for processing via APIs or knowledge bases, and only complex, multi-step tasks are delegated to more powerful AI models, thereby reducing cost and latency.In practical applications, CEEcil can proactively join relevant Slack discussions, send emoji reactions, and automatically follow up when issues go unaddressed. Coinbase states that the system also once refused to submit operational documents containing customer identity information to Git, suggesting the use of redacted versions or compliant storage methods instead—demonstrating a certain level of security judgment.Architecturally, CEEcil consists of a Go service and an AI agent runtime, and connects to tools such as memory retrieval, knowledge bases, real-time queries, and Slack via MCP. Coinbase also has set up a real-time "kill switch," call limits and spending caps, audit mechanisms, and requires human review and merging of the code it generates.Coinbase says CEEcil is now able to help teams handle production incidents and answer expert knowledge that previously would have required waiting hours to obtain. In the future, the company hopes to expand this model into multiple AI agents tailored to specific teams, enabling AI not only to "answer questions" but also to continuously remember, proactively participate, and complete actual work.
SK hynix showcases HBM4 and AI storage product portfolio at Dell Technologies Forum
According to Yonhap News Agency, SK Hynix showcased a complete lineup of storage solutions for AI infrastructure at the Dell Technologies Forum 2026 held in Seoul, including sixth-generation High Bandwidth Memory (HBM4), HBM4E, AI server DRAM, enterprise SSDs (eSSDs) and client SSDs (cSSDs). The AI data center products include liquid-cooling-ready PEB210 E1.S, high-capacity low-power PS1110 E3.S, and the company's first QLC flash-based enterprise SSD PS1101 E3.S. SK Hynix also served as a partner keynote speaker at the forum for the first time, introducing the applications of next-generation storage technologies in the AI era.
Related news
Bank of America: Semiconductor TAM Raised to $3.2 Trillion, Memory Drives Growth
According to TrendForce, a September 14, 2026 research report from Bank of America upgraded its total addressable market forecast for the semiconductor industry from $2.7 trillion to $3.2 trillion, raising the compound annual growth rate from 2026 to 2030 from 14% to 18%. Semiconductor sales are projected to increase 113% year-on-year in 2026, with memory chip sales rising approximately 327%, comprising DRAM at 328% and NAND at 341%. Expenditure on wafer fabrication equipment is forecast at $156 billion in 2026, $210 billion in 2027, and $272 billion in 2028. The rental price for Nvidia’s B200 GPU is approximately $5.72 per hour, less than 10% below the March peak.
Gate's stock derivatives market sees active trading, with SKHX and SAMSUNG contract open interest both ranking among the top two in the industry
Odaily News: On September 15, the South Korean semiconductor sector saw active trading. According to Gate platform data, SK Hynix (000660) is currently priced at $1,275.12, up 1.17% in 24 hours; Samsung Electronics (005930) is currently priced at $186.03, down 0.60% in 24 hours. According to CoinGlass data, Gate's related stock derivatives are actively trading: SKHX contract open interest is nearly $123 million, ranking second across the network, with 24-hour trading volume of nearly $177 million, also ranking among the top in the industry; SAMSUNG contract open interest reached $7.44 million, with 24-hour trading volume reaching $32.37 million, both ranking second across the network.Gate continues to expand its stock contract coverage, providing users with richer trading options through the industry's fastest response to hot trends and the most comprehensive target layout. Currently, Gate stock contracts already support popular stock targets from multiple markets including US stocks, Hong Kong stocks, and Korean stocks, and have further launched an innovative sector, with the first batch of 40 popular stock contracts listed, covering market hot targets such as ChangXin Memory Technologies, Unitree Robotics, and CATL, providing users with 7×24-hour diversified trading opportunities.
a16z crypto releases Lattice Jolt: The first high-performance post-quantum zkVM based on lattice cryptography
According to an official post from a16z crypto, a16z crypto has officially released Lattice Jolt, a new version of its open-source zkVM (zero-knowledge virtual machine) that fully transitions its underlying cryptography from elliptic curves to a lattice architecture, achieving post-quantum security while significantly boosting performance. Key highlights include: • Performance improvement: Proof generation speed increased by 2-3 times, reaching up to 2 million RV64IMAC cycles per second in CPU mode, and breaking through 10 million cycles per second with MacBook GPU acceleration (Apple Metal); • Smallest proof size: Proof footprint is under 100 KB, significantly outperforming other post-quantum zkVMs with sizes ranging from 200 KB to 600 KB; • Memory optimization: Memory consumption per cycle reduced from approximately 300 bytes to 200 bytes, supporting proof generation for millions of RISC-V cycles on mobile devices; • Security: Based on the standard Module-SIS assumption, providing a complete 128-bit security strength, sharing the same assumption framework as ML-DSA and ML-KEM; • New commitment scheme: The Akita polynomial commitment scheme, jointly developed by LayerZero in collaboration with institutions such as Carnegie Mellon University and the University of Southern California, replaces the original Dory scheme. a16z crypto also pointed out that hash-based SNARKs are widespread...
Vitalik: Recursive STARK Memory Pool Can Reduce Costs of Quantum-Safe Signatures and Privacy Transactions
Odaily News, Vitalik posted on the X platform, expressing his hope to include the recursive STARK memory pool proposal EIP-8288 in the Ethereum I-star upgrade, stating that it can be seen as the next step after Frames. This solution can place quantum-safe signature data off-chain, reducing signature costs; the fuel cost of quantum-safe privacy transactions is also expected to drop from approximately 10 million to tens of thousands. The solution aggregates transaction dependencies through frames and recursive STARKs, with nodes sending one STARK of about 100 to 300KB per time cycle; the on-chain overhead is one STARK and 96 bytes per statement to be proven.
Bernstein: July semiconductor sales up 131% year-over-year, with memory contributing nearly 70% of the increase.
According to Chaoxiang Research, a September 8, 2026 report by Bernstein noted that global semiconductor sales in July increased 131% year-over-year but declined 9.5% month-over-month, slightly missing the historical average of 8.5%. Memory sales surged 452% year-over-year, contributing approximately $355 billion in incremental revenue year-to-date and accounting for nearly 70% of the sector's 111% year-to-date growth. Excluding memory, overall sales still grew 35% year-over-year. Month-over-month performance across product segments broadly outperformed seasonal trends: DRAM fell 17.5% (seasonal average: -25.7%), NAND dropped 14.7% (seasonal average: -28.8%), and logic chips gained 2.2% (seasonal average: -0.9%). Regional divergence was stark, with China declining 28% month-over-month while the Americas saw just a 0.4% drop.
Kioxia Denies Cooperation Plan with SK hynix, Says It Will Ease Upward Pressure on Memory Chip Prices
According to Bloomberg, Kioxia Holdings’ chief executive denied the possibility of strengthening ties with rival and shareholder SK hynix, stating that the company will manage the rapid rise in memory chip prices to prevent them from negatively impacting long-term demand in the artificial intelligence sector. Currently, memory chip makers are expanding capacity to meet surging orders from AI service providers, pushing related chip prices significantly higher. Some investors believe that such manufacturing partnerships could help mitigate the risks tied to large-scale capital expenditures.