OpenAI is seeking more funds from Microsoft to build future models both companies can profit from.
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Since its blockbuster product, ChatGPT, which came out in November last year, OpenAI has released improved versions of GPT, the AI model that powered the conversational chatbot. Its most recent iteration, GPT Turbo, offers a faster and cost-effective way to use GPT-4.
“Whoever leads in AI will rule the world,” President Vladimir Putin declared at an address commencing the 2017 Russian school year. Six years later, despite intense focus from senior leadership and heavy investment from the federal budget and state-owned enterprises, Russia remains a laggard in this field, hobbled by international isolation and structural challenges.
Military, political, and business leaders in Moscow have long understood the importance of controlling the information space to secure their grasp on power. After the scare of social media powered “color revolutions” on Russia’s doorstep, Moscow doubled down on these efforts. But facing both headwinds intrinsic to the nature of generative AI and deep, self-inflicted wounds from the war in Ukraine, the window for Russia to take a lead is closing quickly.
Russia’s leaders were caught flat-footed by the rise of social media. The supposed dangers of emerging technology were brought to the fore by Chisinau’s so-called “ Twitter revolution,” when protests organized in part on American social networks prevented Moldova’s ardently pro-Russian Party of Communists from winning the election in 2009.
A US national lab has started training a massive AI brain that could ultimately become the must-have computing resource for scientific researchers.
Argonne National Laboratory (ANL) is creating a generative AI model called AuroraGPT and is pouring a giant mass of scientific information into creating the brain.
The model is being trained on its Aurora supercomputer, which delivers more than an half an exaflop performance at ANL. The system has Intel’s Ponte Vecchio GPUs, which provide the main computing power.
An executive at one of generative AI’s leading companies has quit over the startup’s controversial use of copyrighted content.
Ed Newton-Rex had been VP of audio at Stability AI, which produces the popular image-generator Stability Diffusion, but resigned due to the firm’s treatment of creators.
“I’ve resigned from my role leading the Audio team at Stability AI, because I don’t agree with the company’s opinion that training generative AI models on copyrighted works is ‘fair use’,” Newton-Rex announced Wednesday on X.
USA: Timely diagnosis and treatment are critical to restore blood flow and reduce injury to the heart muscle and increase a person’s chance of recovery after a heart attack.
A recent study has revealed that technology incorporating artificial intelligence (AI) and electrocardiogram (EKG) testing for patients having a heart attack decreased the time to diagnose and send patients for treatment by almost 10 minutes. The findings from the late-breaking science study conducted in a hospital in Taiwan were presented at the American Heart Association’s Scientific Sessions 2023 held from Nov. 11–13, in Philadelphia.
“Modern AI may now be as good as expert cardiologists in diagnosing serious heart attacks,” said lead study author Chin-Sheng Lin, M.D., Ph.D., a professor, director of the Medical Technology Education Center and vice dean at the School of Medicine, at the National Defense Medical Center, in Taipei, Taiwan. “Hospitals can use AI tools more to help front-line doctors, especially those with less experience. This could lead to faster treatment and less mistakes when it comes to treating patients who are experiencing heart attacks.”
