theoretical physics

MIT researchers told WIRED that artificial intelligence may soon become the default way to solve theoretical problems in economics, high-energy physics, and other fields. They argue AI systems are increasingly capable of assisting with the kinds of complex reasoning long handled solely by human theorists, potentially reshaping how fundamental research is conducted across multiple scientific disciplines.

MIT researchers told WIRED that artificial intelligence, having made major inroads in mathematics, may soon become the default method for solving theoretical problems in economics, high-energy physics and other scientific fields. The report suggests the shift already seen in math could spread rapidly across theoretical disciplines, raising questions about how research is done and who does it.

Researchers report surpassing what was considered a fundamental speed limit in superconductors, a long-standing bound on how quickly superconducting currents can respond or change. The result challenges established theoretical assumptions and could influence future work on ultrafast electronics and quantum technologies. Details of the experiments and their implications are still being digested by the physics community.

A new benchmark tests AI systems on theoretical physics problems, and leading models are performing strongly on it. Researchers say the results show AI moving beyond routine calculation into genuine reasoning about abstract scientific concepts. Commenters are debating whether this signals AI's arrival as a real research tool or whether the benchmark overstates what the models truly understand.

AI researcher François Chollet has described string theory as a form of hallucinated physics, arguing that decades of theoretical work have produced elaborate mathematics without experimental confirmation. His remark has drawn pushback from physicists who defend string theory's mathematical contributions, while others agree it has struggled to deliver testable predictions. The debate touches on the limits of theory-driven science.

An AI-assisted study using data from the Large Hadron Collider is challenging the theory that the universe has ten dimensions, a cornerstone idea from string theory. The findings suggest the extra dimensions predicted by the theory may not exist, prompting debate among physicists about the model's validity and the growing role of machine learning in fundamental physics research.

Theoretical physicists, encouraged by recent progress in understanding black holes, are now applying the same tools to entire universes. Writing for Quanta, physicist Matt von Hippel explains how what they are finding is leading researchers to question fundamental assumptions about physics and cosmology.

Physicist Carlo Rovelli is presenting new ways of thinking about the nature of reality, in an interview feature with New Scientist. Rovelli, known for his work on loop quantum gravity and the relational interpretation of quantum mechanics, argues that reality may be better understood through relationships and events rather than fixed substances. The piece is drawing attention from readers interested in theoretical physics and philosophy of science.

A physicist says he challenged an AI model to tackle a nine-loop calculation, a notoriously difficult problem in theoretical physics, and Claude reportedly solved it. If accurate, it would mark a striking demonstration of AI's ability to handle complex, multi-step scientific reasoning that has traditionally required expert mathematicians and physicists.

Anthropic says its Claude AI solved a nine-loop particle physics challenge, an extremely complex calculation in quantum field theory. Nine-loop computations involve vast numbers of terms and are traditionally done with specialized software and significant human effort, so a successful AI solution would mark a milestone for AI in theoretical physics. The claim is drawing attention from researchers assessing how far AI models can go in advanced scientific work.

An AI system has reportedly set a record by independently computing a 9-loop physics amplitude, a Feynman diagram calculation far beyond typical human work. Most real-world perturbative calculations in quantum field theory stop at 2 or 3 loops due to their complexity. The result highlights how machine learning is beginning to automate some of the most demanding mathematical tasks in theoretical physics.

Wormholes, long a fixture of both popular culture and theoretical physics as potential shortcuts through spacetime or 'time machines,' may be losing favor among scientists. Recent commentary suggests excitement over the concept has cooled, with researchers questioning whether wormholes can ever be observationally confirmed or practically realized, prompting debate over whether the field remains productive physics or a dead end.

An astrophysicist has shared a thread on electromagnetism trivia noting that standard physics holds magnetic monopoles to be impossible: every magnet has a north and south pole, and splitting a magnet always creates a new pair of dipoles. He points out that this rule is apparently violated in certain contexts, inviting discussion about why isolated magnetic charges have never been observed despite theoretical predictions.

A physics feature examines how increasingly precise measurements can confirm or break established theories. In physics, when experimental results diverge from theoretical predictions at high precision, it can signal new phenomena or force revisions to existing models. The piece highlights the role of precision measurement in driving fundamental discoveries and shaping what scientists accept as settled knowledge.

Physicists have reportedly proven a long-suspected limit on how quickly quantum systems can thermalize, meaning the speed at which they settle into thermal equilibrium. The result confirms what researchers had conjectured for years: there is a fundamental bound, set by quantum mechanics, on how fast information and energy can spread through a system. The proof is expected to matter for fields ranging from quantum computing to the study of many-body physics.

A Spanish-language introduction to the philosophy of SUM describes the 'Zero Position' as the mathematical origin point of the ΨΝ field: a point of pure self-presence from which the Witness can orient toward any region of M₄ without being captured by the GRAVIS of any particular region. The author stresses it is not mere emptiness but a structural starting point linking mathematics, physics and philosophy.

Marcos Marino, Ricardo Schiappa and Maximilian Schwick have published an open-access paper titled 'New instantons for matrix models' in SciPost Physics (volume 21, article 098, 2026). The work is affiliated with the University of Geneva, the Isaac Newton Institute, the University of Lisbon and IST's CAMGSD in Lisbon, and is freely available on the SciPost website.

Physicists are revisiting the idea that the Higgs field may be metastable, meaning the Universe could in principle transition to a lower-energy vacuum through quantum tunneling. Such a 'bubble' of true vacuum would expand at near light speed, ending everything instantly and without warning. Scientists stress this is serious theoretical physics based on current measurements of the Higgs boson, not a forecast of imminent doom.

A 1966 paper from the Journal of Experimental and Theoretical Physics, 'Propagation of Sound in Strongly Viscous Liquids', is being shared again via its English-language PDF hosted by the Russian Academy of Sciences. The study examines how acoustic waves travel through liquids with very high viscosity, a topic relevant to acoustics and fluid dynamics. It has drawn a small but curious audience among science and technology readers.

OpenAI's GPT-6 model, called Astra, is claimed to have solved 98% of new theoretical physics problems presented to it. The figure suggests a level of performance in advanced physics reasoning well beyond previous AI systems. Details on who set the problems, how the results were verified, and which institutions were involved have not been given, so the claim is so far unconfirmed.

A BBC Science Focus article argues that understanding nothingness — the quantum vacuum and the true nature of empty space — may be key to explaining dark energy, the mysterious force accelerating the universe's expansion. The piece is being shared across physics and cosmology communities, sparking discussion about vacuum energy, cosmological constants, and why theoretical predictions of empty space conflict so badly with observed values.

A new physics discussion suggests neutrino flavor states could help solve the puzzle of 'missing' black holes, addressing gaps between theoretical predictions and observed black hole populations. The idea ties particle physics—how neutrinos oscillate between flavors—to cosmology and black hole formation, sparking interest among astronomy and particle physics enthusiasts debating whether neutrino properties could account for objects that current models fail to detect.

Physicists are advancing efforts to map the internal structure of atomic nuclei and the nucleons that make them up — protons and neutrons. The work, highlighted by Innovation News Network, reflects ongoing experimental and theoretical campaigns to understand how quarks and gluons are arranged inside matter, a field central to modern nuclear and particle physics research.

A new piece of physics writing asks whether nature contains a universal speed limit beyond the familiar speed of light, suggesting recent theoretical work may offer clues. The discussion centres on whether fundamental constants and new models point to hidden constraints on how fast processes in the universe can occur. Details of the research, its authors and peer review are not yet clear from the coverage available.

Scientists are still puzzling over an ultra-high-energy particle that struck Earth's atmosphere in 2023, and one new proposal offers an exotic answer: cosmic strings, hypothetical wrinkles in spacetime left over from the early universe. Making the idea work would require a lot of cosmic strings, but researchers argue wild events may demand wild explanations, and the debate is drawing attention across physics circles.

Brian Greene, the Columbia University physicist and science communicator, has stopped teaching the university's Frontiers of Science course after more than a decade in the classroom. Greene, known for his work popularizing string theory and theoretical physics, was a longtime fixture of the core science curriculum, and his departure marks the end of a notable chapter for the course.

A 1966 Soviet physics paper, 'Propagation of Sound in Strongly Viscous Liquids', has drawn renewed attention after its PDF was shared from the Journal of Experimental and Theoretical Physics archive. Readers are revisiting the classic work on how acoustic waves behave in highly viscous fluids, with discussion focusing on the enduring value of mid-century theoretical physics made freely accessible online.

Anthropic claims its Claude AI model computed a nine-loop particle physics amplitude, an extraordinarily complex calculation in quantum field theory that would normally demand enormous effort from human physicists. If verified, the result would mark a striking demonstration of AI capabilities in theoretical physics, and it is prompting debate among researchers about how the computation was performed and whether it can be independently confirmed.

Quotes attributed to the German theoretical physicist Arnold Sommerfeld are being shared and discussed on social media under science and philosophy hashtags. Sommerfeld, a pioneer of atomic theory and quantum physics mentor to several Nobel laureates, remains a popular figure for reflections on science. The engagement is modest, indicating a niche audience of physics enthusiasts.

The INFN PhD school in Experimental Physics is hosting a seminar titled 'Universality in Power-of-Two graphs' on 5 November 2026 at 14:30. The talk, organised within Italy's National Institute for Nuclear Physics doctoral programme, will address mathematical properties of graph structures relevant to theoretical and experimental physics research. It is aimed at PhD students and researchers in the physics community.

Researchers report that a quantum simulator has produced evidence of higher-order topological phases, an exotic state of matter whose properties are protected at corners or edges rather than along full boundaries. The result, covered by physics outlets including Quantum Zeitgeist, is being discussed as a step toward confirming theoretical predictions about higher-order topology in programmable quantum systems.