The Artificial Intelligence Podcast Dr. Tony Hoang

Tupac Shakur's estate is considering suing Drake over his latest diss track, in which it appears the late rapper's voice was generated using artificial intelligence (AI). The estate argues that the use of Tupac's voice without consent is a violation of his right to publicity and an abuse of his legacy. They are seeking damages for the unauthorized use of Tupac's likeness and any profits from the record. The incident raises ethical questions about the use of AI in music production. More than 200 artists have signed an open letter urging AI developers and tech companies not to undermine or replace human artistic contributions.


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Social media giant Meta, formerly known as Facebook, has unveiled a new approach to combatting fake news on its platforms. The company will now label a wider range of AI-generated content on Facebook, Instagram, and Threads as 'Made with AI' in an effort to protect freedom of speech while addressing misinformation. The decision to label instead of removing content comes after criticism from the Oversight Board concerning Meta's handling of a controversial AI-altered video of President Biden. The labeling system will be implemented from May 2024, allowing users time to adjust to the notifications and reducing content removal based on the existing manipulated video policy by July 2024.


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Researchers at Gartnavel General Hospital in Glasgow have developed a machine learning model that accurately predicts inpatient hypoglycemic events using capillary blood glucose (CBG) measurements. The model, which focuses solely on CBG data, showed excellent performance in identifying patients at risk for hypoglycemia. The study analyzed a large dataset of CBG information from the Greater Glasgow and Clyde region, generating nearly 5 million rows of data. The researchers plan to further test the model in clinical practice and develop an intervention tool for healthcare professionals. The study has been praised for its potential impact on managing hypoglycemia in inpatient care.


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Microsoft is making progress in closing the gap on Amazon in the cloud-computing market, with its Azure service attracting more businesses. Microsoft's adoption of generative AI features, powered by Open AI's technology, is drawing clients to its Azure cloud-computing service. Strong earnings are anticipated for Microsoft, driven by the billions invested in generative AI. RBC Capital Markets analyst Rishi Jaluria believes Azure's growth is due to Microsoft's overall AI strategy and expects the company to capture market share from Amazon. While Google is also investing in AI, analysts predict that Google Cloud's significant boost from AI will not come until 2025. Amazon is integrating AI technology into AWS through its investment in Anthropic.


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Consulting firm BCG predicts that 20% of its revenues in 2024 will come from helping companies integrate artificial intelligence (AI) into their businesses, with this share projected to rise to 40% by 2026. BCG has seen a boost in revenues from AI and generative AI over the past year as companies move from experimenting with the technology to implementing it on a larger scale. The firm is partnering with tech giants and AI companies such as Microsoft and Google to integrate their technology into operations and is providing training to board directors and executive teams. BCG has invested in its AI business since 2015 and has equipped its employees with AI tools. While advising on climate change and sustainability projects remains its fastest-growing practice, the firm has observed a decrease in vocal support for environmental, social, and governance (ESG) issues among business leaders, although this does not reflect a lack of commitment to these matters.


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The rapid growth of AI technology is raising concerns about the availability of electricity to power data centers. AI systems have immense power requirements, and the demand is expected to increase significantly as more AI-focused data centers are established. The United States alone may require an additional 18 to 30 gigawatts of capacity in the next few years. While tech companies have invested in renewable energy, data centers require a consistent power source that renewables may not always provide. The consequences extend beyond power concerns, with communities near data centers experiencing disruptions to their quality of life. Proactive measures, such as capping power usage and incentivizing sustainable practices, are crucial to balance the potential of AI with environmental responsibility.


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