Kelvin J. McQueen at Notre Dame Philosophical Review:

In Consciousness as Complex Event: Towards a New Physicalism, Craig DeLancey argues that what makes conscious (or “phenomenal”) experiences mysterious and seemingly impossible to explain is that they are extremely complex brain events. This is then used to debunk the most influential anti-physicalist arguments, such as the knowledge argument. A new “complexity-based” way of thinking about physicalism is then said to emerge.

Brain complexity has been appealed to before, to try to explain why consciousness seems so intractable. What makes DeLancey’s approach distinctive is two-fold. First, DeLancey does not use some vague and informal notion of complexity. Instead, he uses the formal notion of Kolmogorov complexity, which he refers to as descriptive complexity. Second, this notion is intended to do most of the heavy lifting. In particular, DeLancey is clear that he does not wish to supplement his complexity-based defense of physicalism with other existing strategies (the phenomenal concepts strategy, the ability hypothesis, knowledge by acquaintance etc. (23)). The central claim is that “what makes a phenomenal experience mysterious is its [descriptive] complexity” (21).

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Piotr Florczyk at The American Scholar:

The opening sentence of Jacob Mikanowski’s sweeping history of Eastern Europe—“a place,” he asserts, “that doesn’t exist”—calls to mind a seminal 1983 essay by the recently deceased Czech-French novelist, Milan Kundera. In A Kidnapped West: A Tragedy of Central Europe, Kundera reminded his readers that Poland, Hungary, and Czechoslovakia were historically and culturally closer to the West than to the Soviet East, and should therefore be thought of as central rather than eastern European. Alas, his appeal fell on deaf ears, and the region remains “eastern,” shorthand for a place where, rumor has it, nobody smiles and the smell of burned cabbage wafts through the corridors of charmless, concrete apartment blocks. Indeed, western prejudice was never more in evidence than during the early days of Russia’s invasion of Ukraine, when many commentators painted the war as just another incomprehensible scuffle in the other Europe, among the denizens of lands once obscured by the Iron Curtain.

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Sara Reardon in Nature:

An artificial-intelligence system can describe how compounds smell simply by analysing their molecular structures — and its descriptions are often similar to those of trained human sniffers.

The researchers who designed the system used it to list odours, such as ‘fruity’ or ‘grassy’, that correspond to hundreds of chemical structures. This odorous guidebook could help researchers to design new synthetic scents and might provide insights into how the human brain interprets smell. The research is reported today in Science¹. Smells are the only type of sensory information that goes directly from the sensory organ — the nose, in this case — to the brain’s memory and emotional centres; the other kinds of sensory input first pass through other brain regions. This direct route explains why scents can evoke specific, intense memories.

“There’s something special about smell,” says neurobiologist Alexander Wiltschko. His start-up company, Osmo in Cambridge, Massachusetts, is a spin-off from Google Research that is trying to design new smelly molecules, or odorants.

More here.

The Origins of Utopia

Many people have long felt the desire to do something
With their lives besides consuming goods. They desire
To interact and develop but for this there is no remedy
Calculable in classical economics. This gets me
Wondering. It would be a fine thing, all that flourishing,
Along with everyone else, but also decently private
So as not to burden one’s neighbors with too much noise
Or such a torrent of dumb ideas all at once. Space required
Is also allocated into the general scheme of the better life,
If not the best life, since the latter wedges its dissatisfaction
Into the minds of each of us according to our old desires,
Childhood vistas, incurable heartbreak by the age of sixteen.
It was silly then but also so totally serious that now our leaders
Wage their private warfare, their revenge, and we’re all implicated.

by Darren Bifford
from Numero Cinq Magazine

Michael Gibson at City Journal:

In 1963, the philosophers Gilbert Ryle and Isaiah Berlin had lunch with the composer Igor Stravinsky. Ryle, the least famous of the bunch, was the most scathing in his survey of the philosophical landscape. He dubbed the celebrated American pragmatists William James and John Dewey the “Great American Bores.” He condemned the work of French Jesuit Teilhard de Chardin, with its speculation about an emerging world consciousness, as “old teleological pancake.” Then he summed it up in a sweeping crossfire that could serve as the most Oxonian of putdowns: “Every generation or so philosophical progress is set back by the appearance of a ‘genius.’”

What did Ryle have against such geniuses? And is progress in philosophy even possible?

Largely thanks to Ryle and his colleagues, by the 1950s Oxford had ascended to a commanding position in philosophy, at least in the English-speaking world. On the European continent, things were different: German and French philosophers had run headlong down another path. The two broad traditions that emerged from the split after World War I are known as analytic and continental philosophy. The gap between the two styles is vast.

More here.

Sean Carroll in Preposterous Universe:

Over the last year, AI large-language models (LLMs) like ChatGPT have demonstrated a remarkable ability to carry on human-like conversations in a variety of different concepts. But the way these LLMs “learn” is very different from how human beings learn, and the same can be said for how they “reason.” It’s reasonable to ask, do these AI programs really understand the world they are talking about? Do they possess a common-sense picture of reality, or can they just string together words in convincing ways without any underlying understanding? Computer scientist Yejin Choi is a leader in trying to understand the sense in which AIs are actually intelligent, and why in some ways they’re still shockingly stupid.

More here.

Richard V Reeves in Persuasion:

One hundred and fifty years ago, John Stuart Mill died in his home in Avignon. His last words were to his step-daughter, Helen Taylor: “You know that I have done my work.”

He certainly had. During his 66 years of life, Mill became the preeminent public intellectual of the century, producing definitive works of logic and political economy, founding and editing journals, serving in Parliament, and churning out book reviews, journalism and essays, most famously his 1859 masterpiece, On Liberty. Oh, and he had a day job, too: as one of the most senior bureaucrats in the East India Company.

What is too often forgotten about Mill is that he was as much an activist as an academic. Benjamin Franklin exhorted his followers to “either write something worth reading or do something worth writing.” Mill, like Franklin himself, is among the very few who managed to do both.

More here.

Attention Everyone

Gloom is the enemy, even to the end.
The parodies of self-knowledge were embossed by
Gloom inside our eyelids, and the abrasion makes us
weep, for no reason, like a new bride disconsolate in the
nightgown she had sewn so carefully.

The dog comes back from the fields, lumpy with burrs.
I put down my pen and pull them out; it is care
I have taught him to expect. I’ve always said
it would be difficult.

I’m declaring a new regime. Its flag is woven loam.
Its motto is: Love is worth even its own disasters.
Its totem is the worm. We eat our way through grief
and make it richer. We don’t blunt ourselves against stones
—their borders go all the way through. We go around them.
In my new regime Gloom dances by itself, like a sad poet.

Also I will be sending out some letters:
Dear Friends, please come to the party for my new life.
The dog will meet you at the road, barking,
running stiff-legged circles. Pluck one of his burrs and
follow him here. I’ve got lots of good wine. I’m in love,
my new poems are better than my old poems. It’s been
too long since we started over.

The new regime will start when you lift your eyes
from this page. Here it comes.

by William Matthews
from Sleek for the Long Flight
White Pine Press 1972

(Note: For dear friend Kevin Ham)

Shelly Fan in Singularity Hub:

We often think of proteins as immutable 3D sculptures. That’s not quite right. Many proteins are transformers that twist and change their shapes depending on biological needs. One configuration may propagate damaging signals from a stroke or heart attack. Another may block the resulting molecular cascade and limit harm.

In a way, proteins act like biological transistors—on-off switches at the root of the body’s molecular “computer” determining how it reacts to external and internal forces and feedback. Scientists have long studied these shape-shifting proteins to decipher how our bodies function. But why rely on nature alone? Can we create biological “transistors,” unknown to the biological universe, from scratch? Enter AI. Multiple deep learning methods can already accurately predict protein structures—a breakthrough half a century in the making. Subsequent studies using increasingly powerful algorithms have hallucinated protein structures untethered by the forces of evolution. Yet these AI-generated structures have a downfall: although highly intricate, most are completely static—essentially, a sort of digital protein sculpture frozen in time.

A new study in Science this month broke the mold by adding flexibility to designer proteins. The new structures aren’t contortionists without limits. However, the designer proteins can stabilize into two different forms—think a hinge in either an open or closed configuration—depending on an external biological “lock.” Each state is analogous to a computer’s “0” or “1,” which subsequently controls the cell’s output. “Before, we could only create proteins that had one stable configuration,” said study author Dr. Florian Praetorius at the University of Washington. “Now, we can finally create proteins that move, which should open up an extraordinary range of applications.” Lead author Dr. David Baker has ideas: “From forming nanostructures that respond to chemicals in the environment to applications in drug delivery, we’re just starting to tap into their potential.”

More here.

James Steichen at The Nation:

It’s fitting that choreographer George Balanchine is experiencing a cultural moment around the 40th anniversary of his death. In the ephemeral realm of dance, the longevity of his influence is unique and it shows no signs of waning. Balanchine’s ballets—beloved for their sophisticated abstraction and musicality—have become staples of the repertoire for ballet companies in the United States and beyond, and they have been performed more often since his death than during his lifetime. Two institutions jointly founded by Balanchine and impresario Lincoln Kirstein—the New York City Ballet (NYCB) and the School of American Ballet (SAB)—continue to cultivate his artistic legacy on the stages and in the classrooms of Lincoln Center. Among his other accomplishments, Balanchine made The Nutcracker a Christmas classic in the United States, and for many ballet enthusiasts it would be as difficult to conceive of ballet without Balanchine as it would be to spend the holidays without the Mouse King and the Sugar Plum Fairy.

Just as Balanchine towers over ballet, a recent biographical portrait of him looms larger than the rest: Jennifer Homans’s long-awaited Mr. B: George Balanchine’s 20th Century.

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Mayukh Sen at The New Yorker:

In March, 1929, when the twenty-four-year-old Chinese American actress Anna May Wong made her London stage début on the city’s West End, in a play called “The Circle of Chalk,” critics took issue with one aspect of her performance: her voice. Up to this point, Wong, five foot seven with dreamy eyes, had appeared primarily in American silent films that pandered to stereotypes of docile Asian women. Her live audience may have expected a dulcet trill. What she gave them instead was, to the ears of reviewers, “squeaky” and “uncultivated.” Wong was reared around Los Angeles’s Chinatown and had grown up speaking both Cantonese and English; she had an accent that was pure California. After the eight-week run of “The Circle of Chalk” concluded, Wong lunched with some journalists who probed her about her bad reviews. At first, she answered their questions in English. Then, catching them by surprise, she switched to Cantonese.

This episode arrives about halfway through the academic Yunte Huang’s searching new biography of the star, “Daughter of the Dragon: Anna May Wong’s Rendezvous with American History,” as evidence of what Huang calls Wong’s “defiance and playfulness.”

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Michael Wood at Literary Hub:

Among the many dolls mentioned in Greta Gerwig’s film Barbie there is one associated with time and memory and literally named after Marcel Proust. It didn’t sell well. Perhaps Mattel got the wrong writer. They could have gone for the same Marcel, but as a comedian, a French, philosophical, disguised partner of Dickens. Critics have been finding Proust funny since 1928—he died in 1922. Christopher Prendergast’s Mirages and Mad Beliefs (2013) has a chapter on Proust’s jokes, and in 2015 Elizabeth Ladenson published a marvelous essay called “Proust and the Marx Brothers.”

And yet. This claim for comedy in Proust always comes as a surprise and is instantly forgotten. Why is this? I don’t know the answer to the question, but a guess or two about its grounds may help us to understand it a little better.

More here.

Mariana Lenharo in Nature:

Science fiction has long entertained the idea of artificial intelligence becoming conscious — think of HAL 9000, the supercomputer-turned-villain in the 1968 film 2001: A Space Odyssey. With the rapid progress of artificial intelligence (AI), that possibility is becoming less and less fantastical, and has even been acknowledged by leaders in AI. Last year, for instance, Ilya Sutskever, chief scientist at OpenAI, the company behind the chatbot ChatGPT, tweeted that some of the most cutting-edge AI networks might be “slightly conscious”.

Many researchers say that AI systems aren’t yet at the point of consciousness, but that the pace of AI evolution has got them pondering: how would we know if they were?

To answer this, a group of 19 neuroscientists, philosophers and computer scientists have come up with a checklist of criteria that, if met, would indicate that a system has a high chance of being conscious.

More here.

Jared Starr in The Conversation:

About 10 years ago, a very thick book written by a French economist became a surprising bestseller. It was called “Capital in the 21st Century.” In it, Thomas Piketty traces the history of income and wealth inequality over the past couple of hundred years.

The book’s insights struck a chord with people who felt a growing sense of economic inequality but didn’t have the data to back it up. I was one of them. It made me wonder, how much carbon pollution is being generated to create wealth for a small group of extremely rich households? Two kids, 10 years and a Ph.D. later, I finally have some answers.

In a new study, colleagues and I investigated U.S. households’ personal responsibility for greenhouse gas emissions from 1990 to 2019. We previously studied emissions tied to consumption – the stuff people buy. This time, we looked at emissions used in generating people’s incomes, including investment income.

More here.