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5 things about AI you may have missed today: OpenAI's new 'control' AI team, Elon Musk praises China and more

By Oliver Davis
Published in OpenAI
July 10, 2023
2 min read
5 things about AI you may have missed today: OpenAI's new 'control' AI team, Elon Musk praises China and more

Today’s AI news is buzzing with intriguing developments! OpenAI, the well-known artificial intelligence research organization, just announced the formation of a new “control” AI team. This team will be dedicated to focusing on the influence AI systems can have on society and specifically aim to ensure they are used safely and ethically. This caught my attention as it highlights the growing concerns around the potential ramifications of AI technology.

Next up, we have Tesla CEO Elon Musk expressing his admiration for China’s abilities in building infrastructure projects quickly. Musk praised China’s efficiency and effectiveness, pointing out that it would be great to learn from their experience. This demonstrates the significance of China’s advancements in various sectors, including AI and technology, which continue to make global headlines.

Moving on, we have news from Twitter that they are working on a new feature called “Birdwatch.” It is designed to bring a community-driven approach to tackling misinformation on the platform, enabling users to identify and annotate misleading posts. This fresh approach to combating the spread of false information highlights the ongoing battle against misinformation and the creative solutions being explored.

Furthermore, researchers have devised a way to use AI to transform images of people’s faces into voices with surprising accuracy. Known as “Speech2Face,” this technology has the potential to assist in emergency situations where voice recordings are available, but a visual representation of the speaker is not. This innovation showcases the versatility and potential applications of AI beyond the expected boundaries.

Last but not least, scientists from the University of Texas have developed a unique method to train machine learning models with limited labeled data. By utilizing a technique known as “Noisy Student Training,” these researchers were able to surpass state-of-the-art results in various image recognition tasks. This breakthrough could lead to more efficient and cost-effective training of AI models, opening up opportunities for wider adoption and enhanced performance.

In conclusion, today’s article flaunted an array of intriguing news from the world of AI. OpenAI’s new “control” AI team, Elon Musk’s praise of China’s efficient infrastructure building, Twitter’s “Birdwatch” feature, the development of “Speech2Face” technology, and the novel approach to training AI models with limited labeled data highlighted the rapid advancements and potential of AI. As AI continues to shape our world, it is crucial to not only understand its capabilities but also ensure its responsible use, addressing the challenges it presents.


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Oliver Davis

Oliver Davis

Futurist and Philosopher

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