Technology

PITY THE POOR PETROPHILES:

Floating wave energy converter deployed at sea to test performance in challenging environments (Prabhat Ranjan Mishra, May 16, 2026, Interesting Engineering)


Called MARMOK A 5, the wave energy converter (WEC) will be electrically connected to the network through the Lab platform, integrated into the BiMEP infrastructures.

The device will be evaluated in real operating conditions, with the aim of verifying its performance, robustness, reliability and ease of maintenance in the demanding marine environment. The data obtained will be fundamental to evaluate the design and move towards future pre-commercial phases of the technology.

THE FUTURE ALWAYS HAPPENS FASTER THAN YOU EXPECT:

US nuclear fusion firm begins installing final 48-ton vacuum vessel half for net energy (Aman Tripathi, May 15, 2026, Interesting Engineering)

The completed 96-ton steel chamber is designed to house plasma heated to 100 million degrees Celsius. CFS plans to start operations in 2027, with the objective of achieving a net energy gain, known as Q>1, where the machine produces more energy than it consumes.

“Ultimately, the goal of SPARC is to get to Q>1 as fast as we can so that we can get to the next step — to build ARC, our fusion power plant,” said CFS Chief Science Officer and Co-founder Brandon Sorbom in a press release.

YOUR NEXT PLANE WILL BE A VOLT:

First hydrogen helicopter just proved it can fly a real mission (Omar Kardoudi, May 11, 2026, New Atlas)


Last month, a modified Robinson R44 lifted off from Roland-Désourdy Airport in Bromont, Quebec, and completed what may be the most consequential short flight in rotorcraft history. It was the first hydrogen-powered helicopter to complete a full operational circuit – takeoff, climb, pattern flight, approach, and landing – under real-world conditions.

THE FUTURE ALWAYS HAPPENS FASTER THAN YOU EXPECT:

Trump Is Losing His War on Renewables: This is the second war Trump is losing. Last year solar and wind power accounted for 99 percent of the growth in world electricity supply, while generation using fossil fuels declined. (Paul Krugman , 5/08/26, NY Times)

The global energy transition — the shift from fossil fuels to electrotech, which uses solar, wind and batteries to power an electrified economy — is accelerating. It’s now clear that the closure of the Strait of Hormuz marks an inflection point: the global green energy curve, which was already on a rapidly rising trajectory, has suddenly become even steeper. “Investors,” reports the Financial Times, “are piling into clean energy funds.”

This acceleration isn’t just a consequence of soaring fossil fuel prices. It is also the result of the worldwide realization that, with the end of Pax Americana, depending on imported hydrocarbons is a risk not worth taking. The United States cannot be relied on to keep sea lanes open when cheap drones can take out an oil tanker or a major pipeline. Even relying on oil and gas from America itself is dangerous, since one never knows when an erratic U.S. government – now under the control of a twice-elected malignant narcissist — will try to use energy as a tool of coercion.


Despite the perversity of its causes, the current acceleration of electrotech is overwhelmingly positive for the world as a whole. It will slow climate change and reduce pollution. It will diminish the power of anti-democratic petrostates and limit the vulnerability of the world economy to disruptions at choke points like Hormuz. It will democratize access to cheap energy sources in places like Africa.

There is another positive consequence of the clean energy boom: the diminishment of the carbon coalition — the interest groups and ideologues who hate renewable energy and want the world to keep burning fossil fuels.

Economics trumps ideology.

DUDE, YOU’RE HARSHING MY LUDDISM:

What If AI Chatbots Are Saving Lives? (Adam Omary and Jennifer Huddleston, 5/05/26, Cato at Liberty)

According to the Centers for Disease Control and Prevention, the American suicide rate began climbing around the year 2000—before ChatGPT, smartphones, or social media even existed. It accelerated through the 2010s, then, contrary to popular narrative, plateaued and modestly declined after 2018—even as generative AI moved from research labs into the pockets of nearly every teenager in the country. If chatbots were a meaningful driver of adolescent suicide, the curves should have moved together. They have not, and, importantly, suicide rates among young Americans remain the lowest among any age group.

While any loss of a young life to suicide is a tragedy, whatever is killing young Americans predates the technology that lawmakers now propose to ban them from using.

What the GUARD Act’s sponsors do not seriously consider is the other side of the ledger. There are cases where AI could help Americans of all ages when it comes to mental health. Roughly half of Americans with a diagnosable mental health condition never seek professional help; stigma, cost, and fear of involuntary intervention keep them silent. For some of them—especially adolescents in households where therapy is unaffordable, unavailable, or unsafe to disclose—a chatbot is their most reliable form of emotional support.

MOOD IS NOT ILLNESS:

Are we over-diagnosing ourselves? Rethinking the language of mental illness.: As mental health diagnoses become more common and expansive, the labels meant to help us understand our suffering may instead oversimplify it. (Gavin Francis, May 5, 2026, Big Think)

“Life is inherently difficult,” wrote the English psychiatrist and pediatrician Donald Winnicott, and “it follows that in everyone there will be symptoms, any one of which, under certain conditions, could be a symptom of illness. Even the most kindly, understanding background of home life cannot alter the fact that ordinary human development is hard.”

When the feelings that filter through into our awareness are negative, then clinicians call them “symptoms.” When those feelings are positive, we tend to regard them simply as elements of well-being.

IDENTITARIANISM RUN AMOK:

Why We’re Turning Psychiatric Labels Into Identities: So you’re on the spectrum, or you’ve got borderline personality disorder, or you’re a sociopath: once you’re sure that’s who you are, you’ve got a personal stake in a very creaky diagnostic system. (Manvir Singh, May 6, 2024, The New Yorker)

The DSM as we know it appeared in 1980, with the publication of the DSM-III. Whereas the first two editions featured broad classifications and a psychoanalytic perspective, the DSM-III favored more precise diagnostic criteria and a more scientific approach. Proponents hoped that research in genetics and neuroscience would corroborate the DSM’s groupings. Almost half a century later, however, the emerging picture is of overlapping conditions, of categories that blur rather than stand apart. No disorder has been tied to a specific gene or set of genes. Nearly all genetic vulnerabilities implicated in mental illness have been associated with many conditions. A review of more than five hundred fMRI studies of people engaged in specific tasks found that, although brain imaging can detect indicators of mental illness, it fails to distinguish between schizophrenia, bipolar disorder, major depression, and other conditions. The DSM’s approach to categorization increasingly looks arbitrary and anachronistic.

Steven Hyman, who directed the National Institute of Mental Health from 1996 to 2001, told the Times that he considered the manual an “absolute scientific nightmare.” In 2009, four leaders of the DSM-5 revision wrote about their hopes to “update our classification to recognize the most prominent syndromes that are actually present in nature.” The outcome didn’t live up to those aspirations. In April, 2013, weeks before the DSM-5’s slated release, Thomas Insel, then the director of the N.I.M.H., remarked, “The final product involves mostly modest alterations of the previous edition.” As a result, he announced, the institute “will be re-orienting its research away from DSM categories.”

In “DSM: A History of Psychiatry’s Bible” (2021), the medical sociologist Allan V. Horwitz presents reasons for the DSM-5’s botched revolution, including infighting among members of the working groups and the sidelining of clinicians during the revision process. But there’s a larger difficulty: revamping the DSM requires destroying kinds of people. As the philosopher Ian Hacking observed, labelling people is very different from labelling quarks or microbes. Quarks and microbes are indifferent to their labels; by contrast, human classifications change how “individuals experience themselves—and may even lead people to evolve their feelings and behavior in part because they are so classified.” Hacking’s best-known example is multiple personality disorder. Between 1972 and 1986, the number of cases of patients with multiple personalities exploded from the double digits to an estimated six thousand. Whatever one’s thoughts about the reality of M.P.D., he observed, everyone could agree that, in 1955, “this was not a way to be a person.” No such diagnosis existed. By 1986, though, multiple personality disorder was not only a recognized psychiatric label; it was also sanctioned by academics, popular books, talk shows, and, most important, the experiences of people with multiple personalities. Hacking referred to this process, in which naming creates the thing named—and in which the meaning of names can be affected, in turn, by the name bearers—as “dynamic nominalism.”

Three new books—Paige Layle’s “But Everyone Feels This Way: How an Autism Diagnosis Saved My Life,” Patric Gagne’s “Sociopath: A Memoir,” and Alexander Kriss’s “Borderline: The Biography of a Personality Disorder”—illustrate how psychiatric classification shapes the people it describes. It models social identities. It offers scripts for how to behave and explanations for one’s interior life. By promising to tell people who they really are, diagnosis produces personal stakes in the diagnostic system, fortifying it against upheaval.

Just as personality tests (see, I’m an introvert!), astrological signs (I’m a Libra!), and generational monikers (I’m Gen Z!) are used to aid self-understanding, so are psychiatric diagnoses.

Adopting an Identity is an effort to avoid personal responsibility.

THERE’S NO SUCH THING AS QUALITY:

Consumers Prefer AI Music Until They’re Told It’s AI (Jana Friedrichsen, Julia Schwarz and Michel Clement, May 4, 2026, ProMarket)

In our final study from 2024, we conducted a similar experiment to study how listeners compared human-made songs to AI-generated ones. Our study varied whether songs were human-made or AI-generated (song origin) and whether the listener received this information or not for pop and electronic dance songs. In addition to listeners’ stated preferences, we also measured how much they were willing to pay to listen to the song as a second measure of preference. We found that listeners actually perceive AI-generated songs to be superior. However, if the music is disclosed to be AI-generated, their desire to relisten to the song and their willingness to pay decreases. This effect is mainly driven by pop listeners.