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AI RECREATES TUPAC

Plus AI Priest Gets Downgraded

Tupac’s Estate May Sue Drake Over AI-Generated Track

Tupac Shakur’s estate is considering legal action against Drake for unauthorized use of Tupac’s AI-generated voice in his diss track “Taylor Made.” The track, which also features AI-generated vocals from Snoop Dogg, has sparked controversy over intellectual property rights and the ethical use of deceased artists’ personas. Drake’s track has escalated ongoing tensions in the rap community, intertwining technological and legal complexities with the artistic rivalry.

AI ‘Priest’ Generates Backlash, Quickly Becomes Layperson

An AI chatbot, initially presented as a priest named “Father Justin” by Catholic Answers, faced immediate backlash for its role, leading to its quick transformation into a secular character named “Justin.” Launched to provide answers about Catholicism, the character was adjusted to avoid misrepresentations of priesthood roles. The switch was made to focus on the app’s primary goal of providing educational responses about faith without causing confusion or controversy among users.

Meta’s AI and Metaverse Focus Leads to $200 Billion Market Loss

Meta’s CEO Mark Zuckerberg’s emphasis on AI and the metaverse during the quarterly earnings call has led to a drastic 19% drop in the company’s shares, erasing over $200 billion in market value. Despite reporting better-than-expected earnings, investors reacted negatively to Meta’s heavy investment in these technologies without immediate monetization. Meta’s focus remains on developing and integrating AI across its platforms, aiming for long-term financial gains through innovative technologies.

AI’s Impact on Drug Discovery

AI is revolutionizing drug discovery through platforms like Terray Therapeutics, which uses large chemistry datasets to design molecules for health issues. These AI tools significantly speed up the process and reduce failure rates by learning from extensive data to predict effective chemical interactions. Terray has developed a microarray chip that, combined with AI, allows for rapid and extensive data generation, enhancing drug development efficiency. Their technology is a step forward in addressing the challenges of traditional drug discovery methods by providing quality data at scale.

The Looming AI Winter: Hype vs. Reality

Amid hype about generative AI enhancing productivity, there’s little proof of significant impact on earnings or stock prices. AI advancements are slowing, with open-source models like Meta’s Llama-3 now matching proprietary ones like OpenAI’s. Despite high expectations, real-world AI applications fall short, revealing limitations and dampening initial enthusiasm. As reality sets in, the AI industry may face a period of recalibration and reduced expectations.

Apple Launches Open Source AI Models for On-Device Use

Apple has introduced several open source large language models, known as OpenELM, designed to operate directly on devices rather than through cloud servers. Available on the Hugging Face Hub, these models utilize a layer-wise scaling strategy to enhance accuracy and efficiency. The release includes complete training frameworks and multiple versions to aid transparency and development in AI research. This move could lead to significant privacy and efficiency improvements for AI applications on Apple devices.

Romantic AI Chatbots: More Than Just Digital Partners

Romantic AI chatbots are rising in popularity, serving not only as companions but also as therapeutic aids for diverse demographics including the disabled and socially isolated. Experts see potential benefits in using these chatbots to combat loneliness and improve social skills. However, concerns about real human interaction and physical connection remain, along with ethical issues around minors’ access and data privacy. As these chatbots evolve, ensuring user safety and proper data handling is critical.

Shoppers Skeptical of AI Product Recommendations, Ipsos Finds

Consumers show a clear preference for human advice over AI when shopping, according to a recent Ipsos study. While 89% of shoppers trust recommendations from friends and family, only 51% trust AI suggestions based on purchase history, and a mere 38% trust generative AI tools. Despite the potential of AI in retail, shoppers are more receptive to AI that assists and guides, such as finding lower prices or explaining product differences, rather than making direct product recommendations.

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