We are starting to make use of AI for drug and intervention discovery and development, and by the top of the 2020s, biological simulators might be advanced enough to generate some essential safety and efficacy data in hours relatively than the years that clinical trials typically take. The transition from human trials to simulated in silico The legal proceedings are determined by two forces that work in opposite directions.
On the one hand, there might be legitimate concerns about safety: we don’t need simulations to miss relevant medical facts and falsely declare a dangerous drug to be secure. On the opposite hand, simulated trials can use many more simulated patients and examine a wide selection of comorbidities and demographic aspects – so doctors can learn in great detail how a brand new treatment is prone to affect many alternative patients.
In addition, many lives might be saved by getting life-saving drugs to patients faster. While the transition to simulated trials will even be fraught with political uncertainty and bureaucratic resistance, ultimately the effectiveness of the technology will prevail.
As a results of these technologies, the old linear models of medical progress and longevity will not be up to this point. Both our natural intuition and a glance back at history suggest that the following twenty years might be about as advanced because the last twenty, but this ignores the exponential nature of the method. Knowledge that radical life extension is imminent is spreading, but most individuals – doctors and patients alike – are still unaware of this major transformation in our ability to reprogram our outdated biology.
Courtesy of Penguin Random House
The 2030s will bring one other health revolution, which I call the third bridge to radical life extension in my book on health (co-authored with Dr. Terry Grossman): medical nanorobots. This intervention will greatly expand the immune system. Our natural immune system, which incorporates T cells that may intelligently destroy hostile microorganisms, could be very effective against many kinds of pathogens – so effective that we’d not survive long without it.
However, it evolved at a time when food and resources were very limited and most of the people had a brief life expectancy. If early humans reproduced at a young age after which died of their twenties, evolution had no reason to favor mutations that would have strengthened the immune system against threats that arise primarily later in life, similar to cancer and neurodegenerative diseases (often attributable to misfolded proteins called prions). Because many viruses originate from livestock, our evolutionary ancestors, who existed before animal domestication, didn’t develop strong defenses against them.
Nanorobots are being programmed not only to destroy all types of pathogens, but additionally to treat metabolic diseases. With the exception of the guts and brain, our most significant internal organs are liable for transporting substances into the bloodstream or excreting them, and lots of diseases are the results of their malfunction. Type 1 diabetes, for instance, is attributable to the incontrovertible fact that the islet cells of the pancreas not produce insulin.
Medical nanorobots will monitor blood flow and increase or decrease the delivery of assorted substances, including hormones, nutrients, oxygen, carbon dioxide and toxins, improving and even replacing organ function. These technologies will enable us to largely overcome disease and the aging process by the top of the 2030s.
The 2020s might be marked by increasingly dramatic discoveries in pharmaceutical and dietary science, largely based on sophisticated AI. While these will not be enough to cure aging alone, they’re enough to increase many lives long enough to succeed in the third bridge. And so, around 2030, probably the most conscientious and informed people will reach “escape velocity from longevity” – a tipping point where we will add greater than a yr to our remaining life expectancy with each calendar yr that passes. The sands of time might be running out relatively than running out.
The fourth bridge to radical life extension might be the power to essentially substantiate who we’re, just as we routinely do with all of our digital information. By augmenting our biological neocortex with realistic (though much faster) models of the neocortex within the cloud, our pondering will develop into a hybrid of the biological pondering we’re used to today and its digital extension. The digital part will grow exponentially and eventually develop into dominant. It will develop into powerful enough to totally understand, model, and simulate the biological part, allowing us to substantiate all of our pondering. This scenario will develop into realistic as we approach the singularity within the mid-2040s.
The ultimate goal is to place our fate in our own hands, not within the metaphorical hands of fate – to live so long as we would like. But why would anyone select death? Research shows that individuals who take their very own lives often experience unbearable pain, whether physical or mental. While advances in medicine and neuroscience cannot prevent all of those cases, they’re prone to make them significantly less common.
How could we even die once we have backed up our data? The cloud already has quite a few backups of all the data it incorporates, a feature that might be greatly enhanced within the 2040s. It is likely to be nearly inconceivable to destroy all copies of ourselves. If we design mind backup systems in order that an individual can easily resolve to delete their files (within the hope of maximizing personal autonomy), this inevitably creates security risks, as an individual might be tricked or coerced into making such a choice, increasing vulnerability to cyberattacks.
On the opposite hand, limiting control over this most intimate data is a very important restriction on freedom. However, I’m optimistic that appropriate safeguards will be put in place, similar to people who have successfully protected nuclear weapons for a long time.
If you were to revive your mind file after biological death, would you actually restore it? himself? This is just not a scientific query, but a philosophical one that we are going to need to take care of inside the lifetime of most individuals alive today.
Finally, some have ethical concerns about justice and inequality. A typical argument against these longevity predictions is that only the wealthy can afford the technologies to radically extend life. My response to that is to point to the history of the cellphone. Only thirty years ago, you really needed to be wealthy to own a cellphone, and that device didn’t work particularly well. Today, there are billions of phones, and so they can do lots greater than just make calls. They are actually memory extensions that give us access to just about all of human knowledge. Such technologies are expensive to start with and have limited features. When perfected, they’re inexpensive for nearly everyone. And the rationale for that is the exponential improvement in price-performance ratio inherent in information technologies.
Adapted from The singularity is closer: When we merge with AI by Ray Kurzweil, published by Viking. Copyright © 2024 Ray Kurzweil. Reprinted with permission of Penguin Random House.
