AI Medical Expansion: Anthropic Continues to Invest Heavily in the Biotechnology Sector with Frequent Acquisitions and Strategic Layouts

Artificial intelligence giant Anthropic is significantly accelerating its expansion in the fields of healthcare and life sciences. Recently, the company has been aggressively pursuing acquisitions, investments, and diversified collaborations with AI biotech companies through dedicated hiring managers, with its strategic focus closely covering core stages from drug discovery to clinical development.

Prior to this, Anthropic successfully acquired the AI biotechnology startup Coefficient Bio, which had only been in operation for eight months, through a stock transaction worth approximately $400 million. The original team has officially joined Anthropic's healthcare and life sciences department. This major deal not only allowed the company to quickly gain valuable laboratory experience but also laid a solid foundation for its subsequent expansion. From the current hiring criteria, it is clear that Anthropic places high value on mature experimental processes and the practical implementation capabilities of specialized teams in the biotechnology sector.

In addition to M&A activities at the capital level, Anthropic has also made frequent moves in technical tools and underlying infrastructure. The company recently launched a new research platform called Claude Science, which can deeply integrate various research tools and flexibly call professional models to assist researchers. At the same time, Anthropic also released a research preview of the MHS model hardware standard, aiming to significantly reduce the cost of access and coordination during the experimental process by establishing a unified device control interface, allowing the model's capabilities to smoothly pass down through software, computing, and physical devices.

From an overall architecture perspective, the newly launched research platform and the unified hardware device interface have a strong synergistic effect, enabling mutual reinforcement. However, although the MHS open interface has reduced concerns to some extent and allows other similar models to be used, it is still necessary to continuously monitor the system's reusability and how much actual time it can save for frontline researchers. With the influx of capital and the gradual improvement of underlying tools, Anthropic is building a complete ecosystem chain in the life sciences field, spanning algorithms, data, and physical laboratories.

Anthropic Abandons Acquisition of AI Startup Decart, $6 Billion Deal Falls Through

According to reports, Anthropic has decided to abandon the acquisition of AI startup Decart. The two parties had been negotiating a deal worth around $6 billion, but Anthropic withdrew after completing due diligence. The company may seek other collaborations in the future. Anthropic is increasing its investment in computing power to develop new products, while Decart's software can improve chip utilization efficiency and reduce the cost of AI training operations, which may have been the motivation for the acquisition, but the deal ultimately did not go through.

Anthropic Invests 51.7 Billion Dollars in 11 Months for 14.8 GW of Remarkable Computing Power

The arms race for AI computing power is intensifying. Anthropic signed a computing power contract worth 51.7 billion dollars in 11 months, adding at least 14.8 gigawatts to its existing 1 to 2 gigawatts starting from October 2025, and launching its own data centers. However, its scale may still fall short of OpenAI, reflecting the strategic confrontation behind its aggressive expansion.

Matt Clifford, the Architect of the UK's AI Policy, Leaves Anthropic Amid Conflict of Interest Controversy

Matt Clifford, a UK AI regulation policy architect, left Anthropic shortly after joining. His rapid move from a core government regulatory role to an AI firm affected by his policies was called a “revolving door,” sparking strong conflict-of-interest concerns among politicians and the public.....

Behind the Battle of Trillion-Level Computing Power: OpenAI Astra Has Burned Hundreds of Billions of Dollars, Where Are the Gaps Between Domestic Large Models and American Companies?

Recently, Anthropic released Fable5.1, and OpenAI launched Astra, further intensifying the global competition in large models. Although Astra has sparked discussions about its performance and cost-effectiveness, the massive financial and hardware consumption behind it highlights the gap in computing infrastructure between China and the United States. Reports indicate that OpenAI has not disclosed specific parameters, but it has used the StarGate program to train models utilizing over 100,000 NVIDIA GPUs.

Anthropic Begins Distributing $1.5 Billion Copyright Settlement Funds, Authors and Publishers Dispute Allocation

Anthropic reached a settlement in a copyright class-action lawsuit. The court ruled that using copyrighted materials to train AI models constitutes fair use and is legal; however, obtaining uncopyrighted materials through piracy is not. Therefore, Anthropic will compensate the original authors of nearly 500,000 pirated works used in training, at $3,000 per work, totaling $1.5 billion.