Serious diseases like cancer will become history in the next ten years: Anthropic CEO

Dario Amodei, Chief Executive Officer (CEO) of Anthropic, a company working in the field of Artificial Intelligence (AI), has claimed that within the next 10 years, serious health issues such as cancer, Alzheimer's, heart disease, and mental illnesses will become part of history. According to an NDTV report, Amodei believes that AI technology can bring an era of miracles to the medical field, through which humanity can solve problems that have remained unsolved for thousands of years.

Speaking about the cure for diseases, Amodei stated, "Cancer, Alzheimer's, heart disease, and mental illnesses, all of these I feel will become things of the past in less than a decade." He added that if we use this technology correctly, we can create an era where mankind can solve problems that were hitherto inevitable. Amodei views AI as a technology that can unprecedentedly accelerate the processes of biological research, drug discovery, and achieving major breakthroughs in the medical field.

According to a report by Aruj Ajla, Amodei made these significant remarks during a meeting with investors. He argued that the rapid progress of AI in biological and medical research is leading humanity towards an "era of miracles." According to Amodei, modern AI technology can encapsulate decades of scientific development within a period of just 5 to 10 years. This technology will bring a complete transformation in drug discovery, protein designing, and methods for treating genetic diseases.

The Anthropic company is now using its AI technology 'Claude' to accelerate drug development. For this purpose, the company is forming large-scale partnerships with major bio-pharma companies such as Bristol Myers Squibb and BigHat Biosciences. Recent collaborative trials have also shown positive results in the lab.

Other AI leaders also appear to agree with Amodei's claim. Elon Musk and Google's AI head Demis Hassabis also hold similar views. According to Hassabis, AI could reduce the decades-long timeframe for drug discovery to weeks, which could potentially lead to the "end of diseases" or a cure for all diseases within a decade. Hassabis cited achievements like 'AlphaFold' as evidence of this success, which has mapped more than 200 million protein structures. However, according to the NDTV report, while AlphaFold is a genuine scientific achievement, it is not proof that AI will be able to cure complex diseases like cancer or Alzheimer's within a decade.

Elon Musk has also expressed an optimistic opinion regarding the progress of AI. Musk claimed that due to the progress being made in the AI sector, all of humanity will have access to the best medical treatment, at a level equivalent to the treatment received by the President of the United States.

However, medical experts and heads of pharmaceutical companies are not entirely in agreement with this optimistic claim. Drug developers are not ready to accept this timeline. Jeff リーड, Executive Chairman of Vertex Pharmaceuticals, has dismissed this timeline, calling it "complete BS." According to リーड, Vertex had tested approximately 50 AI companies to investigate 10,000 drug compounds, but not a single company was able to create a functional drug on its own.

Pharmaceutical industry leaders emphasize that while accelerating molecule discovery can be achieved, the processes of clinical trials, regulatory review, or biological testing in animal and human models cannot be bypassed. A large portion of the 10 to 12-year period taken in the drug development process consists of these trials. Finding an attractive molecule on a computer screen is only the beginning, not the end.

Amidst this controversy, the question also arises whether AI will possess only intellectual capacity or if it will also possess discretion. As machines become smarter, the question arises whether AI will be able to develop enough understanding or discretion to comprehend the consequences of its decisions? As the influence of AI grows in the medical, financial, and public service sectors, issues such as ethics, accountability, and human oversight have become extremely important. Will AI be able to understand the difference between what is technically possible and what is ethically right? If an AI system makes a harmful decision, who will be responsible—the technology, the developers, the company, or the person using it?