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More →OpenAI Buys Orchestra Bio to Put AI Agents in Charge of Drug Development Grunt Work
OpenAI has bought Orchestra Bio, a San Francisco startup whose AI agents help drug companies keep sprawling development programs on schedule, the ChatGPT maker <a href="https://openai.com/index/openai-to-acquire-orchestra-bio/" target="_blank" rel="nofollow external noopener" class="sc-adb616fe-0 dJryYS">>announced Tuesday</a>. “Our goal is to help scientists make discoveries and manage the work needed to turn them into treatments that reach patients sooner,” OpenAI said in the announcement. Orchestra’s team and platform will be folded into <a href="https://openai.com/rosalind/" target="_blank" rel="nofollow external noopener" class="sc-adb616fe-0 dJryYS">>Rosalind</a>, OpenAI’s family of AI models and tools for biologists and chemists. The financial terms were not disclosed. Getting a new medicine from first idea to U.S. approval takes time—up to 15 years according to OpenAI. Every month shaved off that timeline is a month earlier that a new treatment can reach the people waiting for it, and a month earlier that the company can generate cash. The process is also absurdly expensive: bringing one approved drug to market can cost more than <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12668846/" target="_blank" rel="nofollow external noopener" class="sc-adb616fe-0 dJryYS">>$2.6 billion</a>, and <a href="https://arxiv.org/pdf/2106.05386" target="_blank" class="sc-adb616fe-0 dJryYS" rel="nofollow">fewer than 10%</a> of candidates that enter human testing ever make it to pharmacy shelves. Beyond the science itself, OpenAI says drug teams have to coordinate work across internal departments and outside partners, often relying on systems that don’t talk to each other. Those partners usually include contract research organizations, the outside labs hired to run studies, and contract manufacturers that produce the experimental drug. Orchestra’s AI agents—software that can watch over tasks and flag problems on its own—work out which activities and deadlines take the hit, gather the relevant information and compare ways to respond, while scientists and program leaders make the final call. Founded in the fall of 2022, Orchestra raised its <a href="https://jobs.8vc.com/companies/orchestra/jobs/28818089-senior-software-engineer" target="_blank" rel="nofollow external noopener" class="sc-adb616fe-0 dJryYS">>seed round</a> from Andreessen Horowitz, Definition Capital, Insight Partners, and 8VC, and about $20 million in total, according to <a href="https://www.caplight.com/company/orchestra-bio" target="_blank" class="sc-adb616fe-0 dJryYS" rel="nofollow">Caplight data</a>. The company should not be confused with Orchestra BioMed, an unrelated Nasdaq-listed medical device maker that trades under the ticker OBIO. In April, OpenAI launched <a href="https://decrypt.co/364783/openai-gpt-rosalind-drug-discovery-life-sciences-model" target="_blank" class="sc-adb616fe-0 dJryYS" rel="nofollow">GPT-Rosalind</a>, a model built specifically for biology and dru
JPMorgan: Momentum Grows for SpaceX-Tesla Merger
CoinWorld news, JPMorgan says a merger between SpaceX ($SPCX) and Tesla ($TSLA) is gaining momentum, with JPMorgan believing the strategic logic for the two companies to form a special committee to explore a merger is strong. The bank noted that the two companies' shared AI infrastructure, engineering talent and chip development, as well as SpaceX's reported $2 trillion valuation, are all favorable factors for a merger. JPMorgan expects that an all-stock deal led by SpaceX could emerge, giving Tesla a 30% to 35% premium. The key point is: a merger could consolidate Musk's AI ecosystem under one company, but no deal has yet been announced.
NVIDIA: Cloud service providers are expanding AI computing infrastructure.
Nvidia says cloud service providers in Europe, the Nordic region, Africa, and Central Asia are expanding AI computing infrastructure and building AI factories based on Nvidia technology to support model training, inference, and post-training services. Nscale plans to deploy Vera Rubin infrastructure and expand in five European markets; Crusoe is developing liquid-cooled modular AI factories for the Vera Rubin platform; Nebius is adopting Nvidia Groq 3 LPX and integrating it with Vera Rubin NVL72 via Spectrum-X Ethernet. In addition, cloud service providers such as Aleria, CoreWeave, Lambda, Nebius, and Nscale support Nvidia's OpenShell reference architecture, providing access control and secure operating mechanisms for AI agents.
NVIDIA partners with European cloud service providers to expand AI infrastructure.
Nvidia says cloud service providers in Europe, the Nordic region, Africa, and Central Asia are expanding AI computing infrastructure and building AI factories based on Nvidia technology to support model training, inference, and post-training services. Nscale plans to deploy Vera Rubin infrastructure and expand in five European markets; Crusoe is developing liquid-cooled modular AI factories for the Vera Rubin platform; Nebius is adopting Nvidia Groq 3 LPX and integrating it with Vera Rubin NVL72 via Spectrum-X Ethernet. In addition, cloud service providers such as Aleria, CoreWeave, Lambda, Nebius, and Nscale support Nvidia's OpenShell reference architecture, providing access control and secure operating mechanisms for AI agents.
Xiao Yuanqi of the National Financial Regulatory Administration: AI applications in finance must have a sound governance framework.
According to a report from Bijie.com, Xiao Yuanqi, Deputy Director of the National Financial Regulatory Administration, pointed out at the Fintech Conference of the 2026 Financial Street Forum Annual Meeting that the integration of artificial intelligence and finance is not merely a technological overlay, but a systemic transformation encompassing strategy, business, business models, organizational processes, and culture. He emphasized that financial institutions need to strengthen independent research and development, consolidate the three foundational capabilities of data, models, and engineering, and advance industry-finance collaboration, peer cooperation, and international cooperation. He also mentioned that the application of artificial intelligence in finance must have a sound governance framework to ensure that intelligence is directed toward good, safeguard data and network security and business continuity, and at the same time promote the digital and intelligent transformation of regulation, incorporate AI governance into a full-lifecycle management system, and ensure that applications are safe and controllable.
Jensen Huang: Europe needs to accelerate AI deployment and application
According to CoinWorld news, NVIDIA CEO Jensen Huang called on Europe to accelerate the deployment of artificial intelligence at the GTC conference in Berlin. He stated that amid investors' doubts about the returns on massive investments in AI infrastructure, he remains optimistic about the prospects of AI. At the conference, NVIDIA unveiled new data center hardware, software, and models, and announced multiple partnerships with leading European companies. Huang pointed out that for Europe to benefit from AI, it must enable various end markets and industries to embrace AI, especially in sectors such as automotive, finance, and healthcare, and drive the transformation into AI-driven enterprises.
A whale added $15.8879 million in ETH on HyperLiquid, bringing total position size to $382 million.
Data from Bijie: A whale's addresses 0x77dd and 0x0392 on HyperLiquid added a combined $15.8879 million worth of ETH, with an average add-on price of $2,453.50. The whale holds BTC and ETH long positions totaling $382 million, with an overall unrealized loss of $8.2101 million. Among these, the ETH position is 109,162 ETH, valued at $268 million, with an average entry price of $2,543.57, and an unrealized loss of $9.6911 million. The BTC position is 1,373.60 BTC, valued at $115 million, with an average entry price of $82,286, and an unrealized profit of $1.4811 million. The associated accounts have total equity of $43.6343 million, with overall leverage of about 8.77x. The estimated liquidation prices for the ETH long positions of addresses 0x77dd and 0x0392 are $2,254.71 and $2,224.81, respectively, with a mark price of $2,454.80.
Oracle launches AI agent studio for industry applications.
CoinWorld news: Oracle has announced the launch of an AI agent studio aimed at providing application solutions for various industries. The studio will help enterprises leverage artificial intelligence technology to improve efficiency and innovation capabilities.
Jensen Huang: Europe needs to accelerate AI adoption to build an AI ecosystem.
According to CoinWorld news, NVIDIA CEO Jensen Huang said at the GTC conference in Berlin that for Europe to benefit from artificial intelligence and truly build an AI ecosystem and AI economy, all end markets and industries need to adopt AI. He pointed out that the automotive, financial services, and healthcare industries must all become AI companies. Huang's remarks are a bullish signal at a time when some investors are increasingly skeptical about the money being invested in the technology infrastructure.
Oracle launches AI Agent Studio for industry applications
CoinWorld news: Oracle (ORCL.N) has launched AI Agent Studio for industry applications.