The Limits Of Human Intelligence – Why We Need AI

Four times a day I take a drug called levodopa. I take it because my brain does not produce enough dopamine, without it my hands and feet shake and I have difficulty getting my body to do what I want it to do. These are symptoms of Parkinson’s disease and mean that many of my dopamine producing neurons have died. But, thanks to levodopa, I can feed my brain synthetic dopamine.


It is an incredible  drug that we discovered to be naturally produced in the broad bean plant, pictured here. (Astounding display of the interconnections between all life on earth that nature makes in this plant the exact molecule that is missing in my brain) In the first half of the 20th century we figured out how to chemically produce the compound, allowing us to manufacture it in mass quantities and distribute it to Parkinson’s disease patients world-wide. That we figured all that out is a testament to our ingenuity and our intelligence. If someone was diagnosed with Parkinson’s just 60 years ago there would be nothing that any doctor could do for them.

But it is not good enough. Every time I take this drug it floods my entire brain with dopamine, while this does produce a cool high and also makes me more alert and focused, it has some negative effects. In any drug that you might take, from the THC in marijuana to the caffeine in coffee, there are chemicals that bind to receptors on neurons in your brain. This either stimulates or inhibits those neurons which then leads to a cascade of effects. When taken regularly the brain produces extra receptors in anticipation of the drug which alters the chemistry and even the physical structure of your brain.

Many people who take levodopa for many years start to experience a side-effect of the drug called dyskinesia that makes it very difficult to control one’s body. To combat this side effect we have other drugs that further alter your brain which eventually leads to more drugs to combat the harmful effects of the previous drug. Before long patients end up spending most of their day shoving pills into their mouth and the disease becomes incredibly difficult to manage.

Also, every person’s brain is wired differently and as a result these drugs produce a slightly different response in each one of us. For now the pharmaceutical industry is built around a one-drug-fits-all motto and until we get to the point where we can have a personalized approach to treating diseases this will continue to be the case.

The biggest impediment to figuring out diseases such as Parkinson’s or Alzheimer’s is the astounding complexity of the brain itself. As James Watson put it, “The brain is the last and grandest biological frontier, the most complex thing we have yet discovered in our universe. It contains hundreds of billions of cells interlinked through trillions of connections. The brain boggles the mind.”

So what to do? Well, it is very likely that the mechanisms underlying neurodegeneration, which everyone will suffer from to some degree, are just too complex for us to figure out. The number of factors that one needs to consider to make sense of such diseases is incredibly long, possibly too long for any human, or even any group of humans, to make sense of. While we have come pretty far in our treatment of such diseases and have some exciting new therapies in the pipeline, there is no cure on the horizon. It is possible that we might just not be smart enough to figure this out.


The same can be said for a number of riddles that we are still faced with. The reason why we can’t figure out how to deal with climate change or what the origins of the universe is that they might just exceed thee limits of what we are currently capable of.

Which is why the creation of artificial intelligence might ultimately be a good thing as the hope is that if we give birth to an artificial form of intelligence it will enable us to be wiser than we are and help us figure out many problems that we are just not capable of on our own.

And we might be a lot closer to bringing about AI than most people think…



  1. It is not as if achieving full AI will be the point when we are starting to solve our problems. We have been using for a long time tools to augment our physical abilities and intelligence. The tools will be getting better. It make take time to achieve full AI though, we are still very early in the process.

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