Polymathic

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The Limitations of Generative AI

The year 2023 saw widespread hype around generative AI, with expectations of AI-powered advancements becoming common. However, in 2024, there will be a need to readjust expectations as evidence emerges showcasing the limitations of generative AI. These models are prone to providing false information and hallucinations, making it difficult to anchor predictions to known truths. Anticipation of exponential productivity improvements and artificial general intelligence will prove unfounded, leading to a shift in focus towards identifying human tasks that can be augmented by these models. Moreover, the adoption of generative AI will result in job displacement without significant productivity gains. ChatGPT and similar models will dominate social media and online search, leading to increased manipulation, misinformation, and mental health issues. The industry will experience a duopoly with Google and Microsoft/OpenAI as dominant players, sparking calls for antitrust and regulation. However, meaningful regulation is not likely to arrive until the US government catches up with the technology in subsequent years.

https://www.wired.com/story/get-ready-for-the-great-ai-disappointment/


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About Me

Visionary leader driving digital transformation across higher education and Fortune 500 companies. Pioneered AI integration at Emory University, including GenAI and AI agents, while spearheading faculty information systems and student entrepreneurship initiatives. Led crisis management during pandemic, transitioning 200+ courses online and revitalizing continuing education through AI-driven improvements. Designed, built, and launched the Emory Center for Innovation. Combines Ph.D. in Philosophy with deep tech expertise to navigate ethical implications of emerging technologies. International experience includes DAAD fellowship in Germany. Proven track record in thought leadership, workforce development, and driving profitability in diverse sectors.

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