Bolstered by the launch of the chatbot ChatGPT in November 2022, 2023 has become a turning point in the history of AI (Artificial Intelligence), with a vibrant open source environment and multimodal modeling coming together to drive progress in AI research.
As generative AI continues to move from the lab to reality, attitudes towards the technology are becoming more mature. Industry experts have also given some outlooks on AI trends for 2024. Here the surging news reporter synthesized the relevant analysis 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 text-generated map software first ignited the heat of generative AI, and this boom reached its peak with the release of ChatGPT.
Before generative AI came into the limelight, most AI applications used predictive AI. as the name suggests, predictive AI makes predictions about trends or provides insights based on existing data without generating brand new content. In contrast, generative AI utilizes machine learning to create original output by learning patterns of "thinking" from training data.
Henry Adjer, an expert in generative AI and Deepfake, notes: "We are still in the early stages of this generative revolution; in the future, synthetic media and content will be ubiquitous and democratized in everyday life. This is not just a simple novelty, but will drive breakthroughs in entertainment, education, and provisioning."
2. AI models will move from mono-modal to multi-modal
Traditional AI models have focused on processing information from a single modality. Now, with multimodal deep learning, we are able to train models to discover relationships between different types of modalities, meaning they can "translate" text into images, as well as turn images into video, text into audio, and more.
Multimodal models have received a lot of attention since last year, making user interactions with AI more efficient. That's why Google made a splash last December with the release of a promotional video for its big model, Gemini, which appears to be able to recognize images in real time, as well as generating audio and images to assist in answering them.
However, Google admitted afterward that the promo went through some editing. But it at least shows us what multimodal AI might look like in the future.
3. AI will be further integrated into work across industries
I believe that many people in the work, have been habitually open ChatGPT and other AI tools, let it as a "secretary" to assist their work at any time.
At the Davos Forum in January, Sam Altman, founder and CEO of OpenAI, an up-and-coming AI giant, emphasized that the technological revolution brought by AI is different from the past, but AI will not replace as many jobs as people fear, but become an "incredible tool to improve productivity".
One thing is certain about this future: as "workers" we will need to adapt and acquire new AI-related skills.
4. AI will amplify and enhance personalization
In recent years, users have experienced the appeal of "personalized push": from social media to video sites, increasingly sophisticated algorithms always seem to know what the user wants to see and display the right content at the right time. AI is accelerating the transformation of media from "mass" to "niche," with the ultimate goal of true one-to-one interaction.
Victor Riparbelli, CEO of AI startup Synthesia, says: "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."
5. the issue of AI regulation will be taken seriously
Finally, and unsurprisingly, 2024 will be a critical year for AI regulation. Progressively stronger AI also presents many entirely new challenges for regulators, as in the classic line from Marvel's Spider-Man: "With great power comes great responsibility."