Supported by the launch of the chatbot ChatGPT in November 2022, 2023 has become a turning point in the history of AI (artificial intelligence) development. The active open source environment and multi-modal models have jointly promoted the progress of AI research.

  As generative AI continues to move from the laboratory into reality, attitudes toward the technology are becoming increasingly mature. Industry experts also gave some prospects for AI development trends in 2024. Here, The Paper reporter comprehensively analyzed relevant issues and summarized the five major development trends of AI in 2024:

1. Generative AI will continue to develop rapidly

  In the second half of 2022, AI graph software first ignited the popularity of generative AI, and this craze reached its peak with the release of ChatGPT.

  Before generative AI gained traction, most AI applications used predictive AI. As the name suggests, predictive AI predicts trends or provides insights based on existing data, rather than generating entirely new content. In contrast, generative AI uses machine learning to learn patterns of "thinking" from training data to create original output.

  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 and democratized in daily life. This is not just a simple instead of novelties that will drive breakthrough advances in entertainment, education and provision.”

2. AI models will shift from single mode to multi-modal

  Traditional AI models focus on processing information from a single modality. Now, through multi-modal deep learning, we can train models to discover relationships between different types of modalities, meaning that these models can "translate" text into images, as well as images into videos and text into audio. etc.

  Multimodal models have received enthusiastic attention since last year, allowing users to interact with AI more efficiently. This is why the promotional video of the large model Gemini released by Google in December last year caused a sensation: In the video, Gemini seems to be able to recognize pictures in real time, and will also generate audio and pictures to assist in answering.

  However, Google later admitted that the promotional video had undergone some editing. However, it at least shows us what multimodal AI may look like in the future.

3. AI will be further integrated into work in all walks of life

  I believe that many people will habitually open AI tools such as ChatGPT when they are working, and let them serve as "secretaries" to assist them in their work at any time.

  At the Davos Forum in January this year, Sam Altman, founder and CEO of the emerging AI giant OpenAI, emphasized that the technological revolution brought by AI is different from the past, but AI will not replace many jobs as people feared. , but has become an “incredible tool for increasing 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 felt 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 the right content at the right time. AI is accelerating the transformation of various media from "popular" to "niche", and the ultimate goal is to truly achieve one-to-one interaction.

  Victor Riparbelli, CEO of AI startup Synthesia, said: "We predict that in the not-too-distant future, mass communication will increasingly become a thing of the past. Synthetic media and content will create new, personalized forms of communication, while (traditional) 's) media landscape will be completely transformed."

5. AI regulatory issues will receive attention

  Finally, unsurprisingly, 2024 will be a critical year for AI regulation. The increasingly powerful AI has also brought many new challenges to regulatory authorities, just like the classic line in Marvel's "Spider-Man": "With great power comes great responsibility."

  Gillian Crossan, head of risk consulting and global head of technology at Deloitte, believes that AI brings the "right to be forgotten" into focus again: "When these big models use large amounts of data to learn, how do you ensure that they are controllable? , and can your information be forgotten by them?”

  The EU can be said to have taken 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 these rules will be replicated around the world.

  The Paper reporter Hu Hanyan