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first_img OpenAI acquires Orchestra Bio, AI entities take over drug development

OpenAI announced the acquisition of San Francisco startup Orchestra Bio, which has developed AI agents to help pharmaceutical companies track the progress of drug development projects. Orchestra's team and platform will be integrated into OpenAI's life sciences product line Rosalind, aimed at biologists and chemists, with the transaction amount undisclosed. Orchestra was founded in the fall of 2022, with seed funding from Andreessen Horowitz, Definition Capital, Insight Partners, and 8VC, raising a total of approximately $20 million.According to OpenAI, a new drug can take up to 15 years from initial conception to approval in the United States, and the cost of bringing a single approved drug to market can exceed $2.6 billion, with less than 10% of candidate drugs entering human trials ultimately reaching the market. Orchestra's AI agents can automatically monitor tasks and flag issues, analyze how setbacks like production batch failures affect the overall development project, compile relevant information, and compare response strategies, ultimately allowing scientists and project leaders to make decisions.This acquisition follows competitor Anthropic's acquisition of Coefficient Bio for approximately $400 million in April, reflecting the competition among AI labs for new drug development workflows. In April, OpenAI launched the model GPT-Rosalind specifically designed for biology and drug discovery, available only to vetted U.S. corporate clients such as Amgen and Moderna, with the accompanying product Rosalind Workbench connecting the model to research tools and data.

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 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.
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