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first_img Cardano founder is developing a new programming language that integrates transaction intentions with Groth16 proofs

According to CoinDesk, Cardano founder Charles Hoskinson stated that he is personally developing a new programming language for the Cardano network and collaborating with Input Output Global engineer Lucas Rosa. Lucas Rosa is a co-creator of Aiken, one of Cardano's main smart contract languages. Hoskinson posted on the X platform that this will be the first programming language to combine user transaction completion intentions with cryptographic proofs.It is reported that the language will support three tools: transaction intent, data with carry proofs, and Groth16 proofs. Transaction intent allows users to specify the goals they want to achieve, while leaving the specific steps to the application, for example, traders can request that a token be exchanged for another only when the final price meets certain conditions, without specifying the exact path.Data with carry proofs can attach cryptographic evidence to information, proving that it complies with specific rules, allowing other applications to verify without recalculating. Groth16 is a widely used proof system that can generate small-sized, fast-verifying proofs, demonstrating that conditions have been met without exposing private data.With the combination of the three, developers can build applications that coordinate transactions, check complex conditions, and pass verified information between services, ultimately verified by Cardano with a small proof. Currently, Cardano developers mainly use Haskell-based Plutus and Aiken to write smart contracts, while Input Output Global, founded by Hoskinson, has its own privacy blockchain Midnight with its language Compact. The name, public code, and release date of this new language have not yet been announced.

first_img Micron is developing a physical AI-specific edge inference memory

Micron Technology Vice President Li Zhe stated at the Korea Semiconductor Exhibition SEDEX 2026 held at COEX in Seoul that the company is developing Edge Inference Memory (EIM) for physical AI. The industry expects this product to enter mass production in the second half of 2028. Micron is researching the use of EIM in LPDDR6 to meet the demand for low-power DRAM in applications such as autonomous driving and humanoid robots, and is in discussions with major customers regarding related products.According to a report by the Science and Technology Innovation Board Daily, EIM is positioned between AI chips and memory, utilizing a method of stacking LPDDR on logic chips to process inference data at high speed, although the computing architecture has not been fully disclosed. Li Zhe mentioned that current robotic AI models have about 1 billion to 2 billion parameters, with low bandwidth requirements; however, as more advanced visual language models emerge, LPDDR alone will not suffice, and HBM will eventually be used for humanoid robots. Micron anticipates that future high-performance humanoid robots will require approximately 200 GB of DRAM and 4 TB of storage, while current service robots require about 12 GB of DRAM and 256 GB of storage.Micron CEO Sanjay Mehrotra stated that the storage capacity of a single humanoid robot is about 10 times that of an ordinary L2+ passenger vehicle. The storage industry may enter a period of sustained demand growth for several decades around 2030, driven by the need to synchronize data from hundreds of sensors and run large models locally for millisecond-level control. Counterpoint Research predicts that global DRAM demand for humanoid robots will increase from approximately 8,300 Tbit this year to about 172,000 Tbit by 2030.

first_img The Zcash development team plans to allocate independent keys for each ZEC exchange to prevent quantum cracking

The Zakura team, which operates the Zcash network, released a technical article stating that they plan to allocate a unique viewing key for each ZEC exchange completed through NEAR Intents, in order to block future quantum computers from exploiting public refund addresses to piece together user payment histories. NEAR Intents supports cross-chain token exchanges, and when users exchange the privacy coin ZEC for USDC, the service will publish a Zcash address for the user on the NEAR public blockchain, which will be used to return any unused ZEC.The Zcash address contains a public key generated by the wallet's viewing key, which cannot be reverse-engineered by ordinary computers, but large quantum computers running Shor's algorithm could theoretically deduce the key from the address. Zcash wallets can generate multiple seemingly unrelated addresses, but they typically share the same viewing key. Once an attacker cracks it, they can associate all payments received by the account and read the amounts and notes. Zakura's solution allocates a unique viewing key for each exchange, while the spending key remains in the user's main account. Even if the future refund address is compromised, the attacker would only be able to see payments related to that specific exchange.This design also addresses a practical issue: wallets conducting hundreds of exchanges would generate hundreds of keys, requiring each key to scan the entire Zcash chain during backup recovery. Zakura's solution is a privately queryable database that uses private information retrieval technology, so when the wallet inquires about the refund destination, the database will not know the address being queried. Zakura claims that wallets built on its open-source library (including Vizor) will be able to add this feature in the coming weeks, and hardware wallets will follow after firmware support, ahead of the January quantum-resistant payment target set by Zcash developers this month.

first_img SemiAnalysis: ASML is currently developing hybrid bonding equipment

On October 15, the semiconductor research organization SemiAnalysis published an article stating that the lithography equipment manufacturer ASML has not officially announced related products, but patents, news reports, and the company's roadmap all indicate that it is developing hybrid bonding equipment. The author of the article judges that ASML may first launch more challenging chip-to-wafer hybrid bonding tools and view it as an extension of vertical integration.Patents show that the system operates on a track, with each chip placed in an independent carrier, sequentially completing inspection, cleaning, plasma activation, morphology inspection, leveling, coarse alignment, position adjustment, and fine alignment before entering the bonding station; the final placement is completed by the carrier and suction cup. The track's repeat accuracy is about 10 microns, far from the approximately 50 nanometers required for bonding. ASML submitted 27 bonding patent families from December 2022 to November 2024, most of which are aimed at chip-to-wafer. The Elec reported in March that ASML has begun hybrid bonding machine architecture design with Prodrive Technologies and VDL ETG.The article states that wafer-to-wafer hybrid bonding has been used for image sensors and 3D NAND; chip-to-wafer is currently only used for mass production of logic chips, including AMD's hybrid bonding V-Cache shipped since 2022 and TSMC's SoIC. The current spacing of SoIC is about 6 microns, with a target of reaching approximately 4.5 microns by 2029. Besi is currently the only supplier with chip-to-wafer mass production tools, with related logic business mainly concentrated in TSMC and Intel.

first_img Jensen Huang: The U.S. and China should strengthen dialogue on artificial intelligence and jointly promote safe development

NVIDIA's CEO Jensen Huang told CNBC that the company must collaborate with Chinese artificial intelligence companies to monitor related risks. In a media briefing in London on Wednesday evening, he stated that both parties should work together to safely advance technological development. Huang mentioned that artificial intelligence poses potential dangers and indicated that he maintains ongoing dialogue with many researchers in China.Huang believes that the way to collaborate with Chinese artificial intelligence companies is through dialogue and emphasized the need to strengthen this dialogue. He stated that the United States should do this and also advocated for the United Kingdom to take the same approach. The page noted that OpenAI CEO Sam Altman and Anthropic CEO Dario Amodei advocate for increased regulation, while Huang has become a prominent voice opposing this stance. In recent months, researchers from laboratories including OpenAI and Anthropic have called for a slowdown in technological development and warned of risks to human survival.The page also mentioned that U.S. Treasury Secretary Scott Bessent discussed U.S.-China artificial intelligence dialogue with Chinese counterpart He Lifeng in September, covering communication channels for events up to the national security level. The Chinese side reported that Xi Jinping pointed out that there may be competition between China and the U.S. in artificial intelligence, but the space for cooperation may be larger, and both sides can continue to exchange views on risks and benefits to jointly prevent abuse. Huang stated that the UK, with its intellectual capital, is well-positioned to become the convener of relevant dialogue. The related market data showed that NVIDIA's stock price fell by $3.95, a decrease of 1.78%.

first_img Google DeepMind's First Audit: AI Did Not Accelerate Its Own Development, 75% of Code Written by AI

Google DeepMind released the first comprehensive empirical assessment of automation in machine learning research and development in the Gemini 4 Argon security report. The conclusion is that AI has not accelerated the R&D of AI itself, despite the fact that AI has written most of the code delivered by the lab's engineers. Researcher Haydn Belfield, who participated in the assessment, stated on X that there is currently no significant end-to-end ML R&D acceleration, so the risks of AI-driven ML R&D are currently low.The team built an internal index, GCI v1, which synthesizes the scores of 123 AI models across 92 benchmarks into a single value. The cutting-edge Gemini capabilities are improving at a stable rate of about 0.1 GCI points per month, with Gemini 1.5 Pro approaching 0.5 points by the end of 2024, Gemini 3.8 Flash slightly above 2.9 points by September 2026, and Argon about 3.3 points above the trend line. However, Belfield noted that this is due to increased computing power and organizational investment, rather than AI-driven acceleration.Over 75% of the code produced by DeepMind is written by AI, and the proportion of fully delegated code merge requests increased from 7.5% to 11.9% between April and September, but about 88% of requests still require multiple rounds of human guidance or manual writing. A survey of 12 senior researchers showed that automation is highest in clearly defined, verifiable execution tasks and lowest in areas such as open science concepts, new experimental designs, and unstable diagnostic training.

first_img Nasdaq-listed Solana Reserve Company DeFi Development raised the CHAD dividend yield to 14%

According to The Block, Nasdaq-listed Solana reserve company DeFi Development Corp. (DFDV) announced that it will raise the annual dividend yield of its CHAD preferred stock from 13% to 14%, effective November 2. Based on a par value of $10 per CHAD share, the annual dividend will increase from $1.3 per share to $1.4 per share, paid once every business day, contingent upon the company's board declaring the dividend. The company stated that future funds raised from CHAD issuance will be used to expand its Solana reserves, which generate income through staking and validating node operations.CEO Joseph Onorati stated that raising the dividend yield to 14% will help expand investor participation and grow the scale of CHAD. He noted that the appeal of CHAD lies in providing double-digit dividend income through Nasdaq-listed preferred securities, with daily payouts, while the issuer holds income-generating SOL reserves. The company aims to position CHAD as a leading digital credit tool, enhancing the ability to accumulate SOL, adding value for common stock shareholders, while maintaining prudent capital management.DeFi Development increased its holdings by approximately 22,070 SOL and equivalent assets last week, raising its total holdings to about 2.59 million SOL; the company stated that CHAD reached a new trading price high that week and recently approved a buyback plan to repurchase up to all issued CHAD shares.

first_img The developer who replicated Photoshop is taking action again, releasing an open-source clone of the Microsoft Office suite

Brandon Thomas, the developer who previously used AI to reconstruct Adobe Creative Cloud for free, has now turned his attention to Microsoft Office. He has released open-source clone applications WordCraft, GridCraft, and DeckCraft on GitHub, corresponding to Word, Excel, and PowerPoint, respectively. The three applications are written in Rust, with a single codebase that can run natively on Windows, macOS, Linux, and BSD, and can also run in a browser. Thomas refers to this as a clean room reconstruction, meaning it is based on publicly available file format specifications and observations of the original software's behavior, without ever copying Microsoft's code, similar to the legal path taken by Compaq in the 1980s to clone the IBM PC BIOS.WordCraft can read and write .docx format, covering 88% of the features in the Word ribbon. It currently supports revision tracking, footnotes, citations, and mail merge; however, taking into account document fidelity and stability, the team estimates its completeness as a Word alternative for actual work is only about 60%, and it is still labeled as an alpha early testing version. GridCraft has supported 513 out of 523 Excel worksheet functions and 89% of ribbon commands, with the developer self-assessing about 50% as usable for actual work. The next step is to improve compatibility with real .xlsx files.
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