AI expanding the frontier of human knowledge

OPINION:

On Sept. 29, Elon Musk stood outside the White House alongside President Trump and top artificial intelligence executives after an indoor AI leadership luncheon.

Addressing reporters on the driveway, Mr. Musk offered an optimistic prediction about where society is headed: “I think by far the most likely outcome is an age of abundance,” he said, describing a future in which advances in AI and robotics dramatically increase wealth and improve healthcare and living standards.

Such predictions can sound overly optimistic. For most Americans, AI is still largely associated with comparatively mundane tasks. People regularly use AI to summarize documents, write computer code, generate images and videos and help answer general questions.

Considering that the modern AI revolution is only a few years old, even these capabilities are remarkable.

AI is poised to transform virtually every aspect of our lives, including education, healthcare, logistics and advanced manufacturing. For the most part, AI functions as a force multiplier of human effort. It allows people to work faster and more efficiently, automating repetitive tasks and accomplishing more with fewer resources.

Yet something bigger seems to be on the horizon.

Recent reports say AI can solve problems, identify patterns and make discoveries at the outer edges of human understanding. It may be beginning to expand the frontier of human knowledge.

Tackling the unsolvable

On Sept. 8, OpenAI announced that one of its internal AI systems had produced a proposed solution to the Navier-Stokes problem, one of the famous Millennium Prize problems announced in 2000 by the Clay Mathematics Institute.

OpenAI turned a fleet of up to 10,000 parallel AI agents on the problem to see what they could come up with. The agents explored different approaches, shared useful findings and built upon one another’s work. After 88 hours, the system arrived at its proposed solution.

The answer will be analyzed by experts, but what happened was remarkable: a group of autonomous AI agents worked through this millennium problem in a matter of days.

Taking on biology

Just a few weeks after news broke about the Navier-Stokes problem, a similar report emerged in biology.

Anthropic researchers gave their AI system relatively broad instructions to comb through a massive DNA database and look for any unusual enzymes worth investigating. Nearly 1,000 AI agents went to work.

In 21 hours, the agents scoured a database of more than 200,000 reverse transcriptases, identified thousands of potential candidates and narrowed them down to the most interesting. One agent noticed an unusual repeating pattern in DNA sitting alongside a strange-looking enzyme.

After additional analysis and testing by scientists, Anthropic concluded that Claude, Anthropic’s AI model, had identified a previously uncharacterized enzyme system with features reminiscent of CRISPR.

Researchers still do not know exactly what this system does, but the significance lies in the method of discovery. AI appears to have noticed a biological pattern that humans have previously overlooked.

Helping with physics

Physicist and science writer Matt von Hippel recently challenged AI companies with a difficult calculation involving particle physics. The details are far above my head, but the results are like the two other examples.

Anthropic’s Claude was able to push an extremely difficult physics calculation one step beyond what researchers had previously accomplished. Stanford physicist Lance Dixon, one of the experts involved in the earlier work, checked Claude’s results.

Mr. Dixon called the feat “quite a triumph” for a large language model.

These three stories, involving mathematics, biology and physics, all occurred within weeks of one another.

When intelligence becomes abundant

Mr. Musk’s prediction for humanity can seem overly optimistic, given that the human experience has always been marked by scarcity.

We have limited time, limited labor and limited resources. We also have a limited number of people capable of working on the frontier of human knowledge.

Now, AI is changing those realities. What happens when a laboratory can regularly deploy thousands of AI agents against a problem? Or when millions of AI agents can continuously scour scientific literature, analyze massive databases and perform digital experiments around the clock? The results could be something approaching superhuman.

People have spent thousands of years building tools that allow us to overcome our natural limitations. The simple lever allowed us to lift more than our muscles permitted; telescopes allowed us to see farther than our eyes allowed; computers allowed us to calculate at speeds our minds could not match.

AI may become another such tool.

An unimaginable future

Of course, none of this necessarily eliminates the serious questions surrounding the development of advanced AI. I have written extensively about AI’s potential impact on privacy, employment, surveillance, manipulation and personal autonomy.

Those concerns remain legitimate, and the more capable these systems become, the more pressing those concerns become.

Yet the same extraordinary capabilities that make advanced AI worthy of caution also come with extraordinary possibilities.

Consider the problems that have plagued humanity. We have collectively mustered huge amounts of time, effort and resources to cure diseases, unlock fusion energy, discover new drugs, explore the far reaches of space and answer fundamental questions about the universe.

Despite incredible progress, many of these remain unsolved.

There is no guarantee that AI will solve these problems, but today we are seeing glimpses of AI reaching beyond human limitations.

For decades, science fiction has trained us to imagine the worst-case scenarios that could result from super intelligence. These warnings are important, but we must also consider the other side of the equation: a bright and prosperous future dreamed by optimists.

• Donald Kendal (dkendal@heartland.org) is the director of the Emerging Issues Center at The Heartland Institute. Follow @EmergingIssuesX.