AI is the not-so-secret weapon that enabled the U.S. military to choose and strike at least 2,000 targets in the first four days of the current Mideast war as bots sifted through intelligence, satellite images, and other data far faster than humans could.
The global employment landscape continues to undergo profound disruption as companies adapt to economic pressure, technological transformation, and shifting consumer behavior.
In the early days of the Iran war, the X account of the Tehran Times newspaper showed a satellite video said to document damage to a U.S. radar installation in Bahrain from and Iranian drone attack. Analysis proved it was a manipulated image of a site in Qatar.
Newspapers have been a disappearing medium during this century, but some publishers have found a new lease on life thanks to AI.
Generative AI’s large language models (LLMs) work by matching patterns to predict the next word in a sentence or the most likely response to a question.
A new design of photonic, or light-powered, AI chip can perform an individual AI operation in trillionths of a second using light that needs less electricity and runs cooler than conventional chips, according to its developers at the University of Sydney.
On 4 March, Nvidia CEO Jensen Huang said his company’s new $30-billion investment in OpenAI “might be the last time” until Sam Altman’s business issues stock.
In late February, talks between AI lab Anthropic and the U.S. defense department collapsed after Anthropic CEO Dario Amodei refused language in their draft agreement that would allow the Pentagon to use the AI developer’s Claude AI to carry out mass surveillance of the U.S. population.
At the beginning of this month, financial services company Block – formerly known as Square – cut 4,000 of its 10,000 workers as part of CEO Jack Dorsey’s plan to reconfigure the company to run as much as possible on AI instead of human labor.
AIs that interrupt or contradict users, or that sometimes remain silent in conversation with a person to draw out a response, are “smarter” and more accurate than polite, well-mannered models, according to a study from the University of Electro-Communications in Japan.