Anthropic Upgrades AI for Science Program, Author Compares It with OpenAI's Research Approach

Damn! The industrialization singularity of human scientific research is here! 🤯 @OpenAI is busy proving that AI itself can win a Nobel Prize, while @AnthropicAI is quietly monopolizing the entire scientific research world. Today they announced the wholesale distribution of top-tier compute to 20 leading institutions worldwide; if we can understand this battle over the AI for Science roadmap, we will understand why leveraging others' strength is the most ferocious form of business strategy.

The day before yesterday, OpenAI had just loudly announced that an internal model had independently overturned a conjecture in the scientific community, and today AnthropicAI launched a head-on counterstrike with an official announcement: declaring a comprehensive upgrade of its "AI for Science" program, directly upgrading top-tier Claude allocations from the previous piecemeal "individual retail" to "ecosystem wholesale" for 20 top scientific foundations and research institutions worldwide.

Many people seeing this news think it is just a Silicon Valley company doing routine corporate social responsibility (CSR) or handing out charitable benefits.

But if you understand the caliber of the 20 institutions it is courting, you will realize that Anthropic is playing an extremely ferocious strategic game: from the Sloan, Simons, and former Google CEO Schmidt science foundations, to STScI, which handles the scientific operations of the Hubble and Webb telescopes, to the Francis Crick Institute and Imperial College.

It does not need to go begging scientists one by one to use its model at all; instead, it directly borrows the world's smartest and best-funded professional foundations to turn Claude into the unquestioned "default operating system" of the entire scientific research world.

This is precisely the two diametrically opposed strategic routes of AI giants in the basic science arena: OpenAI takes the "god-making route," eager to flex its technological muscles and prove that AI itself can independently pluck the crown of mathematics; while Anthropic takes the "infrastructure route," telling the whole world with the most restrained posture: scientists are the center, and we are responsible for seamlessly placing the sharpest hoes and compute into the hands of humanity's top brains. What should make everyone working in hard tech and agents feel a chill down their spine even more is not how many free allocations were given out, but the "physical-level ambition" hidden in the announcement: they are jointly developing a "Model Hardware Standard" with HHMI Janelia.

This means that AI's penetration into scientific research is formally leaping from "helping you read literature, write code, and analyze offline data" to "letting AI Agents personally take over laboratory instruments to run real experiments."

When algorithms can not only think but also automatically shake test tubes, adjust lasers, and operate microscopes for scientists in the real world, the iteration speed of scientific research will be completely pushed onto a ten-thousand-fold industrialized track.

Of course, we must also maintain a necessary clarity: Anthropic did not disclose the specific funding scale of this allocation, and many frontier experiments remain in the early preview stage.

But the undercurrent of the era is already incomparably clear: when a company makes the world's top physicists, biologists, and astronomers unable to start their day without its reasoning window,

what it establishes is not merely a commercial moat, but a silent monopoly over the right to produce all of humanity's future foundational knowledge.