Multimedia

A groundbreaking study challenges 70 years of assumptions about how human language works. By analyzing billions of word uses, scientists discovered that meaning is organized around power, danger, and order rather than emotion alone. Even more surprisingly, human language shows a powerful hidden preference for safety, suggesting that our words may reflect ancient survival instincts.

A Yellowstone super-eruption would begin not with a sudden surprise, but with weeks of increasingly alarming warning signs such as migrating earthquake swarms, rapid ground uplift, changing geysers, and rising volcanic gases. In a worst-case scenario, those signals could culminate in a VEI 8 eruption that blasts ash tens of kilometers into the atmosphere, unleashes deadly pyroclastic flows, buries parts of the western United States in ash, and cripples transportation, electricity, water […]

Astronomers may have been listening for alien civilizations in only a small slice of the radio spectrum while overlooking a largely unexplored range of higher frequencies. Using archived data from the ALMA telescope in Chile, researchers conducted the observatory’s first SETI survey, searching for narrow signals that could indicate advanced technology. No possible alien transmissions were found, but the study revealed that even a handful of telescope observations may quietly include millions […]

The Backrooms began as a single eerie image of empty yellow rooms, but internet users transformed it into a vast fictional world that feels disturbingly real. Through videos, games, maps, survival guides and social media stories, audiences do more than watch the horror unfold. They help build and explore it. Researchers suggest this popularity reflects a new kind of digital tourism, where people emotionally enter imaginary places filled with mystery, nostalgia and unease.

A new book claims AI has been built on a flawed assumption dating back to Alan Turing's famous 1950 paper. Peter J. Denning argues that the most important parts of human intelligence, including common sense, intuition, culture, and practical know-how, cannot be encoded into computers. He believes this makes true human-level AI impossible, regardless of how large language models become.