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An astrophysicist at the University of Rochester writes that "many" of his colleagues in physics "have come to believe that a mystery is unfolding in every microbe, animal, and human." And it's a mystery that: - "Challenges basic assumptions physicists have held for centuries" - "May even help redefine the field for the next generation" - "Could answer essential questions about AI." In short, while physicists have favored a "reductionist" philosophy about the fundamental laws controlling the universe (energy, mattery, space, and time), "long-promised 'theories of everything' such as string theory, have not borne significant fruit: There are, however, ways other than reductionism to think about what's fundamental in the universe. Beginning in the 1980s, physicists (along with researchers in other fields) began developing new mathematical tools to study what's called "complexity" — systems in which the whole is far more than the sum of its parts. The end goal of reductionism was to explain everything in the universe as the result of particles and their interactions. Complexity, by contrast, recognizes that once lots of particles come together to produce macroscopic things — such as organisms — knowing everything about particles isn't enough to understand reality... Physicists have always been good at capturing the essential aspects of a system and casting those essentials in the language of mathematics... Now those skills must be brought to bear on an age-old question that is only just getting its proper due: What is life? Using these skills, physicists — working together with representatives of all the other disciplines that make up complexity science — may crack open the question of how life formed on Earth billions of years ago and how it might have formed on the distant alien worlds we can now explore with cutting-edge telescopes. Just as important, understanding why life, as an organized system, is different at a fundamental level from all the other stuff in the universe may help astronomers design new strategies for finding it in places bearing little resemblance to Earth. Analyzing life — no matter how alien — as a self-organizing information-driven system may provide the key to detecting biosignatures on planets hundreds of light-years away. Closer to home, studying the nature of life is likely essential to fully understanding intelligence — and building artificial versions. Throughout the current AI boom, researchers and philosophers have debated whether and when large language models might achieve general intelligence or even become conscious — or whether, in fact, some already have. The only way to properly assess such claims is to study, by any means possible, the sole agreed-upon source of general intelligence: life. Bringing the new physics of life to problems of AI may not only help researchers predict what software engineers can build; it may also reveal the limits of trying to capture life's essential character in silicon.

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On Wednesday (Christmas Eve), the Free Software Foundation announced it had received two major contributions totaling around $900,000 USD — in the cryptocurrency Monero. The two donations "are among some of the largest private gifts ever made to the organization," the FSF said in a statement. "The donors wish to remain anonymous," according to the FSF's statement: The organization is in its annual winter fundraising drive, currently at three-quarters of its $400,000 USD winter goal, and will now switch its focus to a member drive thanks in part to these donations... The donation will support the organization's technical team and infrastructure capacity, as well as strengthen its campaigns, education, licensing, and advocacy initiatives, and future opportunities. The FSF is seeking donations until year-end after which they aim to gain 100 associate members through its year-end fundraising ending January 16. The FSF's executive director said the donations prove "that software freedom is recognized more and more as a principal issue today, at the core of several other social movements people care about like privacy, ownership, and the right to repair... "We are proudly supported by a large variety of contributors who care about digital rights. All donations matter, whether $5 or $500,000."

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Those brief freezes and audio hiccups that plague video calls are not the benign nuisances that most people assume them to be, according to a new study published in Nature that found glitches during virtual interactions can meaningfully damage hiring prospects, reduce trust in healthcare providers and even correlate with lower chances of being granted parole. Researchers from Columbia, Cornell, and the University of Missouri-Kansas City conducted ten studies examining glitches across thousands of participants and real-world parole hearing transcripts. The core finding is that glitches harm interpersonal judgments because they break the illusion of face-to-face contact, triggering what psychologists call "uncanniness" -- a strange, creepy, or eerie feeling typically associated with humanoid robots or CGI characters that look almost but not quite human. In one experiment, participants watching a telehealth pitch chose to work with a health professional 77% of the time when no glitches occurred, but only 61% when brief freezes were present. The job interview studies found similar patterns, and when researchers examined 472 Kentucky parole hearings conducted over Zoom, they found that inmates were granted parole 60% of the time in glitch-free hearings versus 48% when transcripts indicated technical problems had occurred. The researchers ruled out simpler explanations like mere disruption or comprehension difficulties. Glitches inserted during natural pauses in speech -- where no information was lost -- still damaged evaluations. And critically, when participants watched presentations where a shared screen froze rather than a human face, glitches had no effect on judgments at all. The uncanniness only emerged when the technology broke the simulation of sitting across from another person.

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