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Home»ADOPTION NEWS»AI’s 2024 outlook: Insights from Germanidis, Hooker, Liang, Luccioni, Moiloa and Scott
ADOPTION NEWS

AI’s 2024 outlook: Insights from Germanidis, Hooker, Liang, Luccioni, Moiloa and Scott

By Crypto FlexsJanuary 2, 20242 Mins Read
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AI’s 2024 outlook: Insights from Germanidis, Hooker, Liang, Luccioni, Moiloa and Scott
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Batch Issue 229 provides an exciting look at the breakthroughs in artificial intelligence expected in 2024. It includes contributions from Anastasis Germanidis, Sara Hooker, Percy Liang, Sasha Luccioni, Pelonomi Moiloa and Kevin Scott.

The growth of artificial intelligence systems is what Anastasis Germanidis expects, especially in the areas of video production and real-time interaction. He focuses on automating AI research and building modular systems. Sara Hooker predicts that there will be a greater emphasis on inclusivity, along with the development of multimodal and multilingual models and a trend towards smaller, more efficient AI models. In her speech, she highlights the importance of addressing the language gap in artificial intelligence and supporting global participation in AI-related research.

Percy Liang raises concerns about the declining openness of artificial intelligence (AI), while also emphasizing the need for rigorous evaluation and governance, including implementation of the Foundation Model Openness Index. He advocates more democratic methods in value alignment and model building, and places great emphasis on the role of evaluation in artificial intelligence technologies.

Sasha Luccioni advocates greater appreciation of human creativity and labor in the creation of artificial intelligence. She also highlights the ethical issues surrounding training data and development processes. She advocates artificial intelligence systems with more human-centered and transparent processes.

To overcome the challenges of deploying artificial intelligence in resource-limited environments, Pelonomi Moiloa is focused on creating AI models that are smaller, more efficient, and use less data. She highlights the potential of artificial intelligence to solve global problems and argues for AI to be more accessible and helpful for the inclusion of diverse groups.

Kevin Scott ponders the rapid development of artificial intelligence and the possibilities of modern generative AI. He emphasizes that to take full advantage of the capabilities of artificial intelligence tools, you need to keep up with the latest technology and experiment with new tools.

Image source: Shutterstock

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