AI Research Lab: Has Human Intelligence Stagnated? By David Stephen

"The advances in machine learning have taught us more about the essence of intelligence than anything that neuroscience has discovered in the past hundred years." - Doris Tsao, neuroscience professor at the University of California, Berkeley.

The world has been unable to solve most of the major global problems in the last few years. This is not about things that went bad but needed to be solved to return to the preexisting status, but major problems that would have exponentially advanced the world - including in economics.

Nations, mostly, are not solving their national problems either. There are projects, budgets and much else, but there is mostly stagnation, in most nations, across the globe.

Has Human Intelligence Stagnated?

Though it is true that there are lots of differences from centuries ago, progress, at this time, has become incremental. Sometimes, negligible. The lack of solutions to [most of] the world's problems is an indication that human intelligence may have peaked.

People complain about brain rot, AI slop, doom scrolling, and much else. There are layoffs, hiring freezes, illegal migration and deportations, automation, and so forth. The numbers of universities, institutes, centers, labs, startups and so forth have ballooned, yet fewer major problems are getting solved because human intelligence is having efficiency issues. Human are sticking with intelligence with little economic value.

Several problems that would not even require huge facilities or funding, where there is no excuse for not doing something excellent, yet nothing of major usefulness gets done.

Criticisms are often partitioned. Oh, it's this political party, or that group, or that device or app, or whatever. Maybe some have had an effect, but the core is that major problems are no longer within reach for solutions.

Human intelligence seems to be at sunset, after rapid progress in the last 200 years. So, for now, there is often something to utilize to manage most problems or find a way around [minor] problems [that were major, years ago].

And when big problems cannot be solved, which is a purpose in itself, then small or new problems take the stage and non-problems as well.

Most importantly, human intelligence became adapted to finding ease, as the world became easier. AI is not suddenly making people lazy or unwilling to think, work, try or whatever else, human intelligence had already dwindled, unable to action solutions, then AI came along.

LLMs Capex

AI is the only thing propping the economy because AI is the only thing worth investing in, it seems and it is the only direction where growth in intelligence appears possible. Hence, the prospect for solutions, so the stock market gives AI all its mitochondria.

The capital expenditures on large language models, by four of the big tech, was reported to be $360 billion in the last year.

It was shown that jobs openings, since 2022, after ChatGPT was launched had plummeted, compared to the surge in the stock market. All these are signals that hiring en masse for the expectation that problems would get solved is now anachronistic. Managing or operating things are the outline of most tasks, while improvement that are expected are marginal - or spread over a long, unknown time.

The United Nations does not have any world day for human intelligence. There should be a world day for human intelligence every month, starting from this November 10, 2025 and then December 20, 2025 and some date per month.

There is no human intelligence research lab on earth. Neither the World Health Organization nor the United Nations has it.

People are hating on AI. They are critical of data centers, in investments, energy consumption and water. However, there is something more to these. In recent years, several investments have been made to processes involving human intelligence - while some things are complex, and take a lot of time - most of those have not...