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From the confronting-new-realities department: Researchers should not be using tools like ChatGPT to automatically peer review papers, warned organizers of top AI conferences and academic publishers worried about maintaining intellectual integrity. From a report: With recent advances in large language models, researchers have been increasingly using them to write peer reviews -- a time-honored academic tradition that examines new research and assesses its merits, showing a person's work has been vetted by other experts in the field. That's why asking ChatGPT to analyze manuscripts and critique the research, without having read the papers, would undermine the peer review process. To tackle the problem, AI and machine learning conferences are now thinking about updating their policies, as some guidelines don't explicitly ban the use of AI to process manuscripts, and the language can be fuzzy.
The Conference and Workshop on Neural Information Processing Systems (NeurIPS) is considering setting up a committee to determine whether it should update its policies around using LLMs for peer review, a spokesperson told Semafor.
At NeurIPS, researchers should not "share submissions with anyone without prior approval" for example, while the ethics code at the International Conference on Learning Representations (ICLR), whose annual confab kicked off Tuesday, states that "LLMs are not eligible for authorship." Representatives from NeurIPS and ICLR said "anyone" includes AI, and that authorship covers both papers and peer review comments. A spokesperson for Springer Nature, an academic publishing company best known for its top research journal Nature, said that experts are required to evaluate research and leaving it to AI is risky.
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From the how-about-that department: Several large-scale, human-driven changes to the planet -- including climate change, the loss of biodiversity and the spread of invasive species -- are making infectious diseases more dangerous to people, animals and plants, according to a new study. From a report: Scientists have documented these effects before in more targeted studies that have focused on specific diseases and ecosystems. For instance, they have found that a warming climate may be helping malaria expand in Africa and that a decline in wildlife diversity may be boosting Lyme disease cases in North America. But the new research, a meta-analysis of nearly 1,000 previous studies, suggests that these patterns are relatively consistent around the globe and across the tree of life.
"It's a big step forward in the science," said Colin Carlson, a biologist at Georgetown University, who was not an author of the new analysis. "This paper is one of the strongest pieces of evidence that I think has been published that shows how important it is health systems start getting ready to exist in a world with climate change, with biodiversity loss." In what is likely to come as a more surprising finding, the researchers also found that urbanization decreased the risk of infectious disease. The new analysis, which was published in Nature on Wednesday, focused on five "global change drivers" that are altering ecosystems across the planet: biodiversity change, climate change, chemical pollution, the introduction of nonnative species and habitat loss or change.
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From the leap-forward department: Researchers have hailed another "leap forward" for AI after Google DeepMind unveiled the latest version of its AlphaFold program, which can predict how proteins behave in the complex symphony of life. From a report: The breakthrough promises to shed fresh light on the biological machinery that underpins living organisms and drive breakthroughs in fields from antibiotics and cancer therapy to new materials and resilient crops. "It's a big milestone for us," said Demis Hassabis, the chief executive of Google DeepMind and the spin-off, Isomorphic Labs, which co-developed AlphaFold3. "Biology is a dynamic system and you have to understand how properties of biology emerge through the interactions between different molecules."
Earlier versions of AlphaFold focused on predicting the 3D structures of 200m proteins, the building blocks of life, from their chemical constituents. Knowing what shape a protein takes is crucial because it determines how the protein will function -- or malfunction -- inside a living organism. AlphaFold3 was trained on a global database of 3D molecular structures and goes a step further by predicting how proteins will interact with the other molecules and ions they encounter. When asked to make a prediction, the program starts with a cloud of atoms and steadily reshapes it into the most accurate predicted structure. Writing in Nature, the researchers describe how AlphaFold3 can predict how proteins interact with other proteins, ions, strands of genetic code, and smaller molecules, such as those developed for medicines. In tests, the program's accuracy varied from 62% to 76%.
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From the closer-look department: Full repairs to three submarine internet cables damaged in the Red Sea in February are being held up by disputes over who controls access to infrastructure in Yemeni waters. From a report: The Yemeni government has granted permits for the repair of two out of three cables, but refused the third because of a dispute with one of the cable's consortium members. Repairs to the Seacom and EIG cables have been approved, but the consortium that runs AAE-1, which includes telecommunications company TeleYemen, was not granted a permit by Yemen's internationally recognized government, according to documents seen by Bloomberg.
Three out of more than a dozen cables that run through the Red Sea, a critical route for connecting Europe's internet infrastructure to Asia's, were knocked offline by the Houthi-sunk Rubymar vessel in late February. Although the telecommunications data that passes along the damaged cables was re-routed, the incident highlighted the vulnerability of critical subsea infrastructure and the challenges of making repairs in a conflict zone. The dispute over the third cable derives from the split political control of TeleYemen, the country's sole telecommunications provider, a reflection of the country's broader geopolitical divisions.
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From the how-about-that department: Less than 24 hours after Apple held a special event to unveil the new, record-thin (0.20 inch, the thinnest Apple device yet) iPad Pro with M4 chip inside, which the company says is optimized for AI, it is facing a loud and fast-spreading public backlash to one of its new marquee video advertisements promoting the device -- a spot called "Crush." VentureBeat: The video features a giant, industrial hydraulic press machine -- a device category famous for appearing in viral videos over the last decade-and-a-half -- literally pressing down upon and destroying dozens of other objects and creative instruments, from trumpets to cans of paint. The ad concludes with the press lifting to reveal these objects have somehow been transformed into a new iPad Pro. The metaphor and messaging is pretty obvious: the iPad Pro can subsume and replace all these older legacy instruments and technologies inside of it, and all in a more portable, sleek, and more powerful form factor than ever before.
It's analogous to similar observations and advertisements other fans and creatives have made in the past about how PCs and smartphones replaced nearly all the individual gadgets -- stereo radios/boom boxes, journals, calculators, drawing pads, typewriters, video cameras -- of yore by offering many of their same core capabilities in a smaller, unified, more portable form factor. [...] People are revolted by the bluntness of Apple's metaphor, the destruction of beloved traditional instruments and objects which people hold in high esteem and affix intangible value to for their creative potential, and the overarching and perhaps unintentional messaging that Apple wants to literally flatten creativity and violently crush the creative tools of yesterday in favor of a multi-hundred dollar piece of luxury technology whose operating system and ecosystem of applications it tightly controls and restricts.