Last year, we witnessed a rise in groundbreaking AI technology – Generative AI. It revolutionized our lives and many industries in just a few months. In 2024, we can expect even more revolutionary AI technologies that will shape the direction of our lives. This year, we anticipate an even greater impact from Generative AI, with stronger integrations of it and the emergence of some silent technologies from the past, such as multimodal, quantum AI, and AI robots, which will become major trends in 2024.
At the end of last year, the emergence of AI influencers such as Aitana Lopez created a buzz in the world of social media. The Clueless.AI’s creation amassed around 200k followers and generated over 10000 USD in just a month, making it a hot topic across the globe.
Thanks to rapid advancements in generative AI, it is now easier than ever before to create highly realistic, expressive, and engaging AI characters. Virtual AI influencers are not only cost-effective but also scalable compared to human influencers. Moreover, the boundaries of these AI characters are still low, making them easily replicable for different campaigns and markets. Their content can also be quickly adapted to cater to specific audiences, making them an attractive option for brands with limited budgets or global reach aspirations.
Given the increasing number of companies and individuals investing in AI character creation, we can expect to see even more AI influencers on social media platforms by 2024. This trend will compel us to rethink what constitutes real in the world of social media.
Last year, most generative AI tools, algorithms, and LLMs were only capable of simulating a single mode of expression. However, with the introduction of models like Gemini and GPT-4, the trend in generative AI is now towards multimodality.
Google’s Gemini Multimodal AI
Multimodal models are capable of processing various types of data and modalities, including images, sound, text, and videos. By combining these different modalities, AI systems can better understand and interpret information, leading to more accurate and comprehensive results.
Currently, technology leaders such as Google and Open AI are in a fierce battle to create a complete multimodal model. Therefore, the future of generative AI will inevitably involve multimodality. It will become a more common feature over the coming months, and interacting with an image or video will become as normal for generative AI as it is for text.
Text-to-image technology has made significant advancements in recent years, with improved accuracy and other details. Additionally, video generation technology has also improved, and now we can create movie trailers and high-quality videos in just a few minutes. Moreover, the quality of video generation has exponentially improved, with 1080p video generation now possible.
Runway Gen-2: New AI Video Generator
Looking forward to 2024, we can anticipate even more significant advancements in video generation technology. AI models will have the ability to generate more realistic and higher-quality videos based on text prompts. In fact, it is possible that we may even be able to create a full movie using generative AI alone. This breakthrough will have implications for various industries, including entertainment, marketing, and virtual reality, unlocking new creative possibilities.
Overall, by 2024, we can expect to see the full text-to-video capabilities available, bringing even more exciting possibilities for the future.
The gaming industry has already witnessed the impact of AI, but in 2024, we can expect to see even more revolutionary developments. The integration of AI will enhance gameplay by creating more immersive and realistic experiences for gamers.
Generative AI is particularly valuable in generating game content, such as maps, levels, and characters. By leveraging AI’s ability to generate diverse and original content based on user inputs, game developers can produce vast and engaging game environments that offer endless possibilities. Furthermore, it enables game developers to create more realistic non-player characters (NPCs) in video games. So soon, NPCs in games may have realistic conversations with players.
AI-powered game development tools are enabling developers to create intelligent and dynamic virtual worlds. Moreover, AI algorithms will continuously adapt to players’ behavior, providing personalized challenges and automatic generation of narratives. This means that the game’s quests, storylines, and character interactions will adapt in real-time based on the player’s unique decisions, enhancing overall gameplay. This could potentially spark a revolution in the AI gaming industry and enhance games like “No Man’s Sky” where every experience is unique using generative technology.
No Man’s Sky Official Trailer – IGN
It is expected that big game studios will soon create native integrations with generative AI. In 2024 we can anticipate commercial versions of these adaptive and dynamic gaming experiences to be released, providing gamers with personalized and immersive gaming experiences.
Autonomous agents, also known as intelligent bots or virtual assistants, are a type of AI application that performs tasks with little or no input from humans. Unlike standard chatbots, these agents understand complex user queries, provide personalized recommendations, and take proactive actions based on user preferences and historical data.
They can schedule appointments, manage tasks, and even make online purchases on behalf of the user. However, these agents need to make consistent and accurate decisions over an extended period. To address these challenges, companies are focused on developing more advanced autonomous agents.
By 2024, we can expect significant progress in this field, leading to greater automation in various industries. These agents will enable machines to operate independently, making our lives more efficient and convenient, from self-driving cars to smart homes.
In 2024, there will be significant efforts towards regulating AI due to the ethical and societal implications associated with its development and deployment. As AI technologies continue to advance, there is an increasing concern about the rise of deepfakes and fake influencers, which may lead to non-real content flooding the internet.
To ensure transparency, fairness, and accountability in the development and deployment of AI systems, governments, policymakers, and industry stakeholders will collaborate to establish guidelines and frameworks that address privacy concerns, algorithmic biases, and potential job displacement. Social media platforms such as Instagram, Twitter, and YouTube need to update their guidelines for AI influencers to require disclosure.
The EU agrees on AI regulations – DW News
These regulations will play a vital role in providing guidance for the development and deployment of AI systems, which will foster public trust and ensure ethical practices. By incorporating ethical AI practices into the design and development of AI systems, we can create a responsible AI ecosystem that benefits society as a whole.
The emergence of no-code platforms has significantly reduced the barrier for non-IT professionals to create technology products and services. This shift is expected to open up opportunities for a more diverse group of innovators, including business technologists and citizen developers.
BlackBox AI Code Generator
No-code AI platforms are democratizing AI development, allowing individuals without extensive programming knowledge to create AI-powered solutions. These machine learning programs offer a simple drag-and-drop interface for model building and deployment, reducing or eliminating the need for long programming hours and code editing. This approach is more time and cost-efficient, while still offering speed and flexibility. It also doesn’t require high technical expertise, thus saving HR from long hours and efforts.
In 2024, we anticipate further advancements in user-friendly no-code AI platforms, enabling citizen developers to easily build and deploy AI applications. This trend will drive innovation across various sectors and empower individuals to leverage AI in their respective domains like never before.
Quantum computing has the potential to revolutionize AI algorithms and solve complex problems that traditional computing cannot handle. By utilizing the principles of quantum mechanics, quantum computers can perform calculations at an unprecedented speed and scale that surpasses traditional computers.
AI algorithms can benefit from quantum computing in various ways. Quantum machine learning algorithms can process and analyze vast amounts of data more efficiently, leading to improved model training and prediction accuracy. Optimization problems, such as route planning and resource allocation, can be solved more effectively using quantum algorithms.
Michio Kaku about Quantum Computing – Big Think
Although quantum computing is still in its early stages, significant advancements are expected in this year. As the field matures, the integration of quantum computing and AI will unlock new possibilities and accelerate AI research and development.
Robotic systems and automation are changing the face of various industries, ranging from manufacturing and logistics to healthcare and transportation. AI-powered robots are now more advanced and capable of performing intricate tasks with accuracy and efficiency. The integration of cutting-edge humanoid robotics and AI technology is predicted to become even more widespread in this year.
Stefano Calzolari in Google about Robotics and AI
“Demis Hassabis, the CEO of Google’s DeepMind, stated that future versions of Gemini will be combined with physical robots because that is how the next step in AI AGI is going to be because it needs tactile feedback and physical senses.”
OpenAI’s Neo is an example of a robot that combines embodied artificial intelligence with physical sensors, allowing it to understand its environment and continuously learn and improve through interaction with humans.
Moreover, the combination of advanced humanoid robots and large language models can allow for real-time conversations, significantly improving the ability to have seamless conversations without delay. However, current chat AI models such as GPT-4 have a delay in generating and speaking information. With the rapid advancement of technology, chatbots will soon be able to respond quickly, resulting in more efficient communication. Therefore, next year, AI robots are expected to play a more significant role in our daily lives.
As the field of AI continues to advance, its role in warfare and security is also increasing. In the year 2024, we will witness the widespread adoption of AI in military applications, ranging from autonomous drones to intelligent surveillance systems. AI will enable more sophisticated and autonomous decision-making on the battlefield.
The role of AI in modern warfare – Channel 4 News
The US Air Force is developing AI-powered fighter jets for air combat, which can provide advantages over human pilots. However, there is a concern that an AI could go rogue and use the fighter jet to harm people. To address this issue, safety systems programmers are continually adapting and engaging with AI control systems to ensure they remain safe.
In an increasingly digital world, cybersecurity has become a crucial concern for organizations across industries. In 2024, we can expect to see significant growth in AI-powered security systems, which offer advanced capabilities for identifying and mitigating cyber threats. With the power of Generative AI, cybersecurity can enter a new era of heightened defense that is capable of enhancing cybersecurity through AI-driven threat analysis and predictive modeling. These systems can monitor network traffic, identify anomalies, and potential security breaches in real-time, improve code security with AI-assisted code reviews and vulnerability assessments, and more.
AI in Cybersecurity – IBM Technology
Video surveillance integrated with biometric authentication will enhance the security of online systems, reducing reliance on traditional passwords that are prone to hacking. AI-based security systems can accurately identify potential threats and raise timely alerts through face and voice recognition, and automated image analysis. These systems can detect anomalies and suspicious activities, helping secure public and private spaces effectively.
Overall, AI-powered security presents a promising future for cybersecurity. The potential benefits of AI in safeguarding our digital world are undeniable. Therefore, AI-powered tools ensure businesses and individuals stay protected against evolving threats. We can expect to see this trend rapidly evolve and shape the security landscape in 2024 and beyond.
As we look ahead to 2024, the AI landscape holds immense potential for groundbreaking advancements across various domains. From multimodal AI and video generation to AI integration in gaming and AI regulation, these trends are poised to reshape industries and transform the way we interact with technology. As AI becomes more ingrained in our lives, it is essential to foster responsible development, ensuring that ethical considerations and human well-being remain at the forefront of our minds. The future of AI is brighter than ever, and it is up to us to shape it in a way that benefits humanity as a whole. So, let’s buckle up because the AI journey is just getting started!
