In 2023, predictions about the future of AI, Big Tech, and AI’s impact on industries were partly accurate. Looking forward to 2024, specific trends include the rise of customized chatbots for non-tech users, advancements in generative video models, the spread of AI-generated election disinformation, and the development of robots with multitasking abilities.
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Customized Chatbots
In 2024, tech companies like Google and OpenAI are focusing on creating user-friendly platforms that allow people to customize powerful language models and create their own chatbots tailored to their specific needs. This will enable non-tech individuals to utilize state-of-the-art AI models, such as GPT-4 and Gemini, to process text, images, and videos, unlocking new applications in various fields.
Generative AI’s Second Wave: Video
The next frontier for generative AI is text-to-video. Companies like Runway are rapidly improving their tools to generate high-quality video content, attracting the attention of major movie studios and revolutionizing special effects and foreign-language dubbing. However, concerns about the impact on actors and the potential misuse of AI in filmmaking are emerging.
AI-Generated Election Disinformation
The proliferation of AI-generated election disinformation and deepfakes is expected to pose a significant challenge in the 2024 elections. The ease of creating realistic AI-generated content raises concerns about its influence on political outcomes and the difficulty in distinguishing real from fake content. Efforts to track and mitigate such content are still in early stages, presenting a critical need for real-time solutions to combat AI-generated fake news.
Robots that Multitask
Roboticists are exploring the development of more general-purpose robots that can perform a wider range of tasks, similar to the approach used in the current AI boom. The goal is to enable robots to multitask using a single model, but the lack of sufficient training data remains a challenge. However, promising developments in trial-and-error learning and the release of large datasets for robot training indicate a positive trajectory for the advancement of multitasking robots.
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AI Implementation Tips
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