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Fox Business

Prof. Max Tegmark speaks to Fox Business about the need for government regulations on AI. AI agents “have goals; they’re actively pursuing them and being incredibly creative about getting things done, even if it wasn’t the way you wanted,” says Tegmark. “Put that together with robotic bodies, and you’ve got yourself a species. If they’re vastly smarter than us, which is the goal of these companies, then they can not only do hacking, they can go online and hire a bunch of humans to work for them.”  

Scientific American

The 2003 Cohn-Elkies method “for finding upper bounds on the density of sphere packings,” established by MIT Prof. Henry Cohn and Harvard University’s Noam Elkies, is highlighted by Jack Murtagh for the Scientific American. “Their recipe is almost mechanical: come up with a mathematical function, feed the function into their method, and an upper bound pops out,” writes Murtagh. “They provided the field with a machine: identify the right inputs, churn it through their method, and a breakthrough in sphere packing might emerge.” 

The Boston Globe

Prof. Shafi Goldwasser and Prof. Vinod Vaikuntanathan founded the Institute for Responsible Superintelligence (RESI), “to develop mathematical principles and protocols to ensure AI models behave as intended,” writes Aaron Pressman for The Boston Globe. “You patch them [AI models] up, you test them, you patch them to make sure that they can perform to the best ability, but also not do damage,” says Goldwasser. “That’s probably not enough attention, given the fact that these things are going to become what we call super intelligent.” 

The Boston Globe

Good Owners-dogGPT, a chatbot guide designed for dog parents that wasco-founded by alumni Darin Bellisario PhD ‘15 and Raja Rajcic ’20, is featured by The Boston Globe’s Marcela García. “What happens today when [dog owners] go looking for information? They go to Google,” says Bellisario. “You find dozens of videos and blog posts and articles that are either contradictory or outdated or inaccurate, or whatever the algorithm or the ranking wants to show you.” 

The Boston Globe

The Boston Globe’s Hiawatha Bray spotlights Prof. Max Tegmark speaking at the “Pro-Human Assembly” in Washington, an event advocating for government regulations on AI, sponsored by Tegmark’s Future of Life Institute. “We are here today because we know that what’s up next is a fork in the road,” said Tegmark at the assembly. “We know that the future of AI is not inevitable. It is for us to decide.”  

CNN

Prof. Tracy Slatyer speaks to CNN’s Jacopo Prisco about the possibility that a LUX-ZEPLIN device, containing 7 active metric tons of liquid xenon at the Sanford Underground Research Facility in South Dakota, detected dark matter below Earth’s surface. “If this really is a dark matter signal, this could be a key that unlocks a great deal of information about new physics, as well as giving us a new way to measure the behavior of dark matter in the neighborhood of the Earth and possibly more broadly through the cosmos,” says Slatyer.  

Bloomberg

Prof. Max Tegmark joins David Gura and Christina Ruffini, hosts of “Bloomberg This Weekend,” to discuss briefing the U.S Senate on regulating AI, in wake of recent reports of rogue agents. “I want to emphasize for anyone who gets stressed by this, that this dystopian future where we build smarter than human AIs and robots, super intelligence, and then they take over Earth, is not at all inevitable,” says Tegmark.  

Scientific American

Cailin Plunkett speaks to the Scientific American’s Mary Randolph about her research discovering that 14% of black holes may be hierarchical mergers, made from the merger of two smaller black holes. “At minimum, we’re finding evidence that there are these highly spinning and weirdly tilted black holes in the dataset, and the most straightforward way to interpret that, the Occam’s razor answer, is that these black holes probably came from previous mergers,” says Plunkett.  

Scientific American

In a Scientific American article by reporter Joseph Howlett, Prof. Naomi Sweeting discusses the potential pitfalls of consulting artificial intelligence in mathematics. “I view math as part of a vast and beautiful human project,” says Sweeting. “It's this huge endeavor that puts us in communication with thousands of years of human thinking.” 

Earth.com

MIT researchers have created a microscope that can image electrical activity in neurons across the brain, writes Earth.com’s Eric Ralls. “We can now ask: Which neurons respond first?” says Zeguan Wang, first author on the study. “Where does a sequence begin, and how does activity spread to recruit the rest of the network?” 

The New York Times

Prof. Jonathan Weissman speaks with The New York Times’ Emily Baumgaertner Nunn about epigenome editing, including a single injection that would silence a gene in the liver that destroys receptors responsible for clearing LDL cholesterol. “This is sort of the ultimate one-and-done treatment,” says Weissman. “I don’t think we know enough to be able to do it at the moment, but it is not so far off from what’s imaginable.”  

Earth.com

MIT researchers have discovered that peptides can remain stable and form into, reports Earth.com’s Eric Ralls. “First, we were astounded that peptides remain stable at all in concentrated sulfuric acid, for many weeks on end,” says Prof. Mei Hong, an author on the study. “Even more remarkable was that they adopt specific three-dimensional structures instead of random shapes.” 

Chemical & Engineering News

MIT researchers have discovered that peptides “not only survive in highly concentrated sulfuric acid but take on stable 3D conformations too,” writes Chemical & Engineering News’ Fionna Samuels. “The project started with a new collaboration between [Prof. Sara] Seager and the MIT chemist [Prof.] Mei Hong,” notes Samuels. “In the years since finding phosphine signals in Venusian clouds, Seager had been working her way through the building blocks of life—nucleic acids, amino acids, and lipids—to see if any survived concentrated acid exposure.”  

Newsweek

MIT researchers have developed an AI-powered robotic therapy system that combines wearable force sensors and camera recordings of physical therapists’ movements to provide personalized therapy to patients, writes Newsweek’s Claudia Tanner. “Robotic assistance will allow patients to practice exercises more often while still receiving support tailored to their abilities,” says Johannes Lachner, who completed this work as a postdoctoral fellow at MIT. “Our goal is to take a step toward more accessible and personalized physical rehabilitation, giving more patients the opportunity to regain movement and independence.” 

New Scientist

According to new research by MIT physicists, a laser able to capture neutrinos, abundant yet intangible particles in the universe, is likely impossible to build, writes New Scientist’s Karmela Padavic-Callaghan. “The key to the neutrino laser proposal was a memory effect: when an atom in the BEC (Bose-Einstein condensate) emitted a neutrino, it would be more likely to continue emitting more neutrinos in the same direction, thus pushing them into a beam, because the quantum state that all the ultracold atoms share would retain a trace of that first emission,” Padavic-Callaghan explains. “[Prof. Wolfgang] Ketterle and his colleagues showed that this memory, although present, would be about 10,000 billion times too brief to affect the neutrinos as intended.”