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Supported by the launch of the chatbot ChatGPT in November 2022, 2023 has become a turning point in the history of AI (artificial intelligence), with the active open source environment and multimodal models driving progress in AI research.
As generative AI continues to move from the laboratory to reality, people's attitudes towards this technology are becoming increasingly mature. Industry experts have also provided some prospects for the development trend of AI in 2024. Based on a comprehensive analysis of relevant factors, the reporter from Paper News has summarized five major development trends of AI in 2024:
1. Generative AI will continue to develop rapidly
In the second half of 2022, AI cultural and graphic software was the first to ignite the popularity of generative AI, and this trend reached its peak with the release of ChatGPT.
The search volume for "generative AI" has surged in 2023. Source: Exploring Topics

Before generative AI gained attention, most AI applications used predictive AI. As the name suggests, predictive AI predicts trends or provides insights based on existing data, without generating entirely new content. In contrast, generative AI utilizes machine learning to learn "thinking" patterns from training data, thereby creating original outputs.
Henry Adjer, a research expert on generative AI and Deepfake, pointed out, "We are still in the early stages of this generative revolution; in the future, synthetic media and content will be ubiquitous in daily life and democratized. This is not just a simple novelty, but will drive breakthrough progress in entertainment, education, and supply."
2. AI model will change from single mode to multi-mode
Traditional AI models focus on processing information from a single mode. Now, through multimodal deep learning, we can train models to discover the relationships between different types of modalities, which means these models can "translate" text into images, and turn images into videos, texts into audio, and so on.
Multimodal models have received enthusiastic attention since last year, making user interaction with AI more efficient. That's why Google's promotional video for the large model Gemini released in December last year caused a sensation: in the video, Gemini seemed to be able to recognize images in real time and also generate audio and images to assist in answering.
Screenshot of Google Gemini promotional video.

However, Google admitted afterwards that the promotional video had undergone some editing. However, it at least shows us what multimodal AI may develop in the future.
3. AI will further integrate into the work of various industries
I believe many people have become accustomed to using AI tools such as ChatGPT as a "secretary" to assist their work at any time.
ChatGPT is becoming the most popular "office partner".

At the Davos Forum in January this year, Sam Ultraman, founder and CEO of the emerging AI giant OpenAI, emphasized that the technological revolution brought about by AI is different from before, but AI will not replace many jobs as people worry, but has become an "incredible tool to improve productivity".
For such a future, one thing is certain: as "workers", we will need to adapt and acquire new skills related to AI.
4. AI will amplify and enhance personalization
In recent years, users have experienced the charm of "personalized push": from social media to video websites, increasingly complex algorithms seem to always know what users want to see and display appropriate content at the right time. AI is accelerating the transformation of various media from "popularization" to "niche", with the ultimate goal of truly achieving one-on-one interaction.
"We predict that in the near future, mass communication will increasingly become a thing of the past. Synthetic media and content will create new, personalized forms of communication, and the (traditional) media landscape will be completely transformed," said Victor Riparbelli, CEO of AI startup Synthesia
5. AI regulatory issues will be given attention
Finally, as expected, 2024 will become a crucial year for AI regulation. The increasingly strong AI has also brought many new challenges to regulatory authorities, just like the classic line in Marvel's Spider Man: "The greater the ability, the greater the responsibility."
Gillian Crossan, Head of Risk Consulting and Head of Global Technology at Deloitte, believes that AI has once again given importance to the "forgotten right": "When these big models use large amounts of data for learning, how can you ensure that they are controllable and that your information can be forgotten by them?"
The EU has achieved a leading position in AI regulation. According to reports, negotiators from the European Parliament and EU countries reached an agreement on AI regulation in December last year. In the future, AI systems will be classified into different risk groups: the higher the potential risk of an application, the higher the requirements for it should be. The EU hopes that these rules will be replicated worldwide.
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