After the explosion of generative AI, what are the new trends in the AI industry in 2024?

With the launch of the chatbot ChatGPT in November 2022, 2023 marked a turning point in the history of AI (artificial intelligence), with an active open-source environment and multimodal models driving the progress of AI research.

As generative AI continues to move from the lab to reality, attitudes toward the technology are becoming more sophisticated. For the development trend of AI in 2024, industry experts also gave some prospects. Here, the surging news reporter summarized the five major development trends of AI in 2024 based on relevant analysis:

1. Generative AI will continue to grow at a rapid pace

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

Searches for "generative AI" have seen a surge in 2023. Source: Exploding Topics

Before generative AI gained traction, most AI applications used predictive AI. As the name suggests, predictive AI makes predictions of 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 outputs.

Henry Adjer, an expert in generative AI and deepfakes, said: "We are still in the early stages of this generative revolution, and in the future, synthetic media and content will be ubiquitous and democratized in everyday life. It's not just a simple novelty, it's going to drive groundbreaking advancements in entertainment, education, and supply. ”

2. AI models will shift from a single mode to a multimodal one

Traditional AI models focus on processing information from a single modality. Now, with multimodal deep learning, we can train models to discover relationships between different types of modalities, meaning that these models can "translate" text into images, turn images into video, text into audio, and so on.

Multimodal models have received a lot of attention since last year, making users' interactions with AI more efficient. That's why Google's promotional video for the large-scale Gemini, released in December, caused a stir: in the video, Gemini appears to be able to recognize images in real time and generate audio and images to aid answers.

Screenshot of Google Gemini promotional video.

However, Google later admitted that the promo had been edited a bit. But at least it shows us what multimodal AI might look like in the future.

3. AI will be further integrated into work across all industries

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

ChatGPT is becoming the most popular "office partner".

At the Davos Forum in January this year, Sam Altman, founder and CEO of AI giant OpenAI, emphasized that the technological revolution brought about by AI is different from the past, but AI will not replace many jobs as people fear, but will become an "incredible tool for increasing productivity".

One thing is certain for such a future: 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 power of "personalized push": from social media to video sites, increasingly sophisticated algorithms seem to know what users want to see and show the right content at the right time. AI is accelerating the transformation of media from "popular" to "niche", with the ultimate goal of truly enabling one-to-one interaction.

Victor Riparbelli, CEO of AI start-up Synthesia, said: "We predict that in the not-too-distant future, mass communication will become more and more of the past. Synthetic media and content will create new, personalized forms of communication, and the (traditional) media landscape will be completely transformed. ”

5. AI regulatory issues will be taken seriously

Finally, unsurprisingly, 2024 will be a pivotal year for AI regulation. The gradual improvement of AI also brings many new challenges to regulators, just like the classic line in Marvel's "Spider-Man": "With great power comes great responsibility." ” 

Gillian Crossan, head of risk consulting and head of global technology at Deloitte, believes that AI has brought the "right to be forgotten" back into focus: "When these big models learn from large amounts of data, how do you ensure that they are controllable and that their information is forgotten by them?"

The European Union is leading the way in AI regulation. Negotiators from the European Parliament and EU countries reportedly reached an agreement on AI regulation in December last year. In the future, AI systems will be grouped into different risk groups: the higher the potential risk of an application, the higher the requirements for it. The EU hopes that these rules will be replicated around the world.