from the world's big
The Universe May Not Have a Purpose — But You Do, Thanks to Science
Life is a temporary, cosmic accident and the universe may very well be meaningless. That's depressing — or is it?
Lawrence Maxwell Krauss is a Canadian-American theoretical physicist who is a professor of physics, and the author of several bestselling books, including The Physics of Star Trek and A Universe from Nothing. He is an advocate of scientific skepticism, science education, and the science of morality. Krauss is one of the few living physicists referred to by Scientific American as a "public intellectual", and he is the only physicist to have received awards from all three major U.S. physics societies: the American Physical Society, the American Association of Physics Teachers, and the American Institute of Physics.
Lawrence Krauss: I have a friend of mine who's a very famous writer, and I'll leave him nameless for the moment, but he writes very dark novels. And when I first met him I was surprised he was so cheerful and I said, "How can you be so cheerful?" And he looked at me and he said, "I'm a pessimist, but that's no reason to be gloomy." And that's become my own mantra in some sense, and it seems appropriate when you think about the universe.
Because the universe first of all isn't here to make us happy, it isn't here to please us and it doesn't give a damn what happens to us. In the far future of the universe is likely to be miserable as I talked about in my last book, and I point in my new book it could even be more miserable.
So in a purposeless universe that may have a miserable future you may wonder, "Well how can I go about each day?" And the answer is we make our own purpose. We make our own joy. We are here by a cosmic accident as I've tried to show, but it's a remarkable accident that's allowed you and I to be here to talk, us to think and appreciate the beauty and splendor of the universe.
So the fact that the universe itself may have no purpose doesn't affect our purpose, in fact it's the incredible height of solipsism to assume that without us the universe doesn't matter, and that if the universe is purposeless we don't matter. We make our own purpose, and it seems to me life is more precious because it's temporary and accidental, and we should take advantage of that. And we have evolved brains and that allows us to ask questions not just about how the universe works but how we should behave.
Now it's a long philosophical debate about whether you can get ought from is, and maybe you can never get ought from is, and maybe reason is the slave of passion. One thing seems clear to me: that without knowing what is you could never get to ought. Or: To do the ought that you get to is silly. If you don't know the consequences of your actions, which is really what science tells us, then you can't assess how to behave. And so understanding empirical phenomena plays a central role in leading a better life, it seems to me. And it should play a central role in public policy so that we as a society can make sound decisions about how to act in the common good.
The universe doesn't care about you, and the future is miserable. So begins theoretical physicist Lawrence Krauss' guide to optimism. Optimism? You heard us right. We may never find meaning or purpose in the universe, but to assume that our purpose is interlinked with that of the universe is what Krauss calls the height of solipsism. Life is beautiful precisely because it's so temporary, and if anything helps us to be optimistic in a morally neutral universe, it's science. Asking questions and understanding what something is helps us realize the consequences of our actions. Armed with knowledge, we can make decisions for the common good. If that's not hope, what is?
This video is part of a collaborative series with the Hope & Optimism initiative, which supports interdisciplinary academic research into significant questions that remain under-explored. The three-year initiative will provide over $2 million for philosophers, philosophers of religion, and social scientists to generate original, high-quality, collaborative research on topics related to optimism and hopefulness. Discover the public components of the Hope & Optimism project, and how you can contribute, at hopeoptimism.com.
Lawrence Krauss' most recent book is The Greatest Story Ever Told -- So Far: Why Are We Here?.
If machines develop consciousness, or if we manage to give it to them, the human-robot dynamic will forever be different.
- Does AI—and, more specifically, conscious AI—deserve moral rights? In this thought exploration, evolutionary biologist Richard Dawkins, ethics and tech professor Joanna Bryson, philosopher and cognitive scientist Susan Schneider, physicist Max Tegmark, philosopher Peter Singer, and bioethicist Glenn Cohen all weigh in on the question of AI rights.
- Given the grave tragedy of slavery throughout human history, philosophers and technologists must answer this question ahead of technological development to avoid humanity creating a slave class of conscious beings.
- One potential safeguard against that? Regulation. Once we define the context in which AI requires rights, the simplest solution may be to not build that thing.
Duke University researchers might have solved a half-century old problem.
- Duke University researchers created a hydrogel that appears to be as strong and flexible as human cartilage.
- The blend of three polymers provides enough flexibility and durability to mimic the knee.
- The next step is to test this hydrogel in sheep; human use can take at least three years.
Duke researchers have developed the first gel-based synthetic cartilage with the strength of the real thing. A quarter-sized disc of the material can withstand the weight of a 100-pound kettlebell without tearing or losing its shape.
Photo: Feichen Yang.<p>That's the word from a team in the Department of Chemistry and Department of Mechanical Engineering and Materials Science at Duke University. Their <a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/adfm.202003451" target="_blank">new paper</a>, published in the journal,<em> Advanced Functional Materials</em>, details this exciting evolution of this frustrating joint.<br></p><p>Researchers have sought materials strong and versatile enough to repair a knee since at least the seventies. This new hydrogel, comprised of three polymers, might be it. When two of the polymers are stretched, a third keeps the entire structure intact. When pulled 100,000 times, the cartilage held up as well as materials used in bone implants. The team also rubbed the hydrogel against natural cartilage a million times and found it to be as wear-resistant as the real thing. </p><p>The hydrogel has the appearance of Jell-O and is comprised of 60 percent water. Co-author, Feichen Yang, <a href="https://today.duke.edu/2020/06/lab-first-cartilage-mimicking-gel-strong-enough-knees" target="_blank">says</a> this network of polymers is particularly durable: "Only this combination of all three components is both flexible and stiff and therefore strong." </p><p> As with any new material, a lot of testing must be conducted. They don't foresee this hydrogel being implanted into human bodies for at least three years. The next step is to test it out in sheep. </p><p>Still, this is an exciting step forward in the rehabilitation of one of our trickiest joints. Given the potential reward, the wait is worth it. </p><p><span></span>--</p><p><em>Stay in touch with Derek on <a href="http://www.twitter.com/derekberes" target="_blank">Twitter</a>, <a href="https://www.facebook.com/DerekBeresdotcom" target="_blank">Facebook</a> and <a href="https://derekberes.substack.com/" target="_blank">Substack</a>. His next book is</em> "<em>Hero's Dose: The Case For Psychedelics in Ritual and Therapy."</em></p>
What would it be like to experience the 4th dimension?
Physicists have understood at least theoretically, that there may be higher dimensions, besides our normal three. The first clue came in 1905 when Einstein developed his theory of special relativity. Of course, by dimensions we’re talking about length, width, and height. Generally speaking, when we talk about a fourth dimension, it’s considered space-time. But here, physicists mean a spatial dimension beyond the normal three, not a parallel universe, as such dimensions are mistaken for in popular sci-fi shows.
An algorithm may allow doctors to assess PTSD candidates for early intervention after traumatic ER visits.
- 10-15% of people visiting emergency rooms eventually develop symptoms of long-lasting PTSD.
- Early treatment is available but there's been no way to tell who needs it.
- Using clinical data already being collected, machine learning can identify who's at risk.
The psychological scars a traumatic experience can leave behind may have a more profound effect on a person than the original traumatic experience. Long after an acute emergency is resolved, victims of post-traumatic stress disorder (PTSD) continue to suffer its consequences.
In the U.S. some 30 million patients are annually treated in emergency departments (EDs) for a range of traumatic injuries. Add to that urgent admissions to the ED with the onset of COVID-19 symptoms. Health experts predict that some 10 percent to 15 percent of these people will develop long-lasting PTSD within a year of the initial incident. While there are interventions that can help individuals avoid PTSD, there's been no reliable way to identify those most likely to need it.
That may now have changed. A multi-disciplinary team of researchers has developed a method for predicting who is most likely to develop PTSD after a traumatic emergency-room experience. Their study is published in the journal Nature Medicine.
70 data points and machine learning
Image source: Creators Collective/Unsplash
Study lead author Katharina Schultebraucks of Columbia University's Department Vagelos College of Physicians and Surgeons says:
"For many trauma patients, the ED visit is often their sole contact with the health care system. The time immediately after a traumatic injury is a critical window for identifying people at risk for PTSD and arranging appropriate follow-up treatment. The earlier we can treat those at risk, the better the likely outcomes."
The new PTSD test uses machine learning and 70 clinical data points plus a clinical stress-level assessment to develop a PTSD score for an individual that identifies their risk of acquiring the condition.
Among the 70 data points are stress hormone levels, inflammatory signals, high blood pressure, and an anxiety-level assessment. Says Schultebraucks, "We selected measures that are routinely collected in the ED and logged in the electronic medical record, plus answers to a few short questions about the psychological stress response. The idea was to create a tool that would be universally available and would add little burden to ED personnel."
Researchers used data from adult trauma survivors in Atlanta, Georgia (377 individuals) and New York City (221 individuals) to test their system.
Of this cohort, 90 percent of those predicted to be at high risk developed long-lasting PTSD symptoms within a year of the initial traumatic event — just 5 percent of people who never developed PTSD symptoms had been erroneously identified as being at risk.
On the other side of the coin, 29 percent of individuals were 'false negatives," tagged by the algorithm as not being at risk of PTSD, but then developing symptoms.
Image source: Külli Kittus/Unsplash
Schultebraucks looks forward to more testing as the researchers continue to refine their algorithm and to instill confidence in the approach among ED clinicians: "Because previous models for predicting PTSD risk have not been validated in independent samples like our model, they haven't been adopted in clinical practice." She expects that, "Testing and validation of our model in larger samples will be necessary for the algorithm to be ready-to-use in the general population."
"Currently only 7% of level-1 trauma centers routinely screen for PTSD," notes Schultebraucks. "We hope that the algorithm will provide ED clinicians with a rapid, automatic readout that they could use for discharge planning and the prevention of PTSD." She envisions the algorithm being implemented in the future as a feature of electronic medical records.
The researchers also plan to test their algorithm at predicting PTSD in people whose traumatic experiences come in the form of health events such as heart attacks and strokes, as opposed to visits to the emergency department.