I reviewed many videos and articles on the web – from MIT, Matt Wolfe, Matt Bergman, and many others, in many languages. Here are the most important predictions in the world of AI in 2024.

Customized Chatbots

A significant shift is happening in chatbot technology, with major tech companies like Google and OpenAI introducing tools that make it easier for anyone, regardless of their technical expertise, to create custom chatbots. This is a big deal because it democratizes AI, meaning that more people can use AI to create chatbots for a variety of purposes, from improving customer service to personalizing assistance. However, the success of these chatbots heavily depends on how accurate and reliable the AI models are. There are concerns about biases in these models, especially when they have the capability to browse the internet, which might lead to misinformation. Ensuring that these chatbots are not only effective but also ethically sound is a significant challenge that companies will need to address.

Generative AI’s Second Wave Video

Generative AI, which has already made impressive strides in creating images, is now rapidly advancing into video generation. This development is set to transform the way we consume and create media, with vast applications ranging from film production to advertising. Imagine AI being used to create realistic scenes in movies, or for creating advertisements without the need for actual filming. This evolution in AI could change how stories are told visually, offering new creative possibilities in filmmaking and beyond.

AI-Generated Election Disinformation

The upcoming year is likely to see an increase in the use of AI for generating false information, especially around elections. This is concerning because technologies like deepfakes, which can create very realistic but fake images and videos, are becoming more accessible and sophisticated. They pose a threat to the integrity of political processes by potentially misleading the public and influencing election outcomes. This calls for better ways to detect such false content, increased public awareness, and regulatory measures to combat the spread of AI-generated misinformation.

Robots that Multitask

The field of robotics is undergoing a significant transformation. Traditionally, robots were designed for specific tasks – for instance, a robot in a car factory might only be equipped to attach doors to cars. However, now there’s a shift towards creating versatile, multi-tasking robots. These robots are being designed to adapt and learn a variety of functions. This means in the future, we might have robots that can perform a combination of tasks in industrial, domestic, and personal settings, like a robot that could help in manufacturing, assist with household chores, and provide personal assistance. However, developing such robots is challenging, mainly due to the limited availability of diverse training data, which is essential for teaching robots to handle various tasks.

AI Assistants Becoming More Integrated and Personalized

AI assistants, like Siri or Alexa, are predicted to become more ingrained in our daily routines. They are expected to become smarter, understanding individual preferences and habits, and integrating more seamlessly with personal tools like email and calendars. This means they will be able to manage schedules, respond to emails, and even assist in creating content in a way that reflects the user’s personal style and preferences, enhancing efficiency in both personal and professional tasks.

Advancements in AI and Healthcare

AI is set to revolutionize healthcare in several ways. One area is improving medical diagnoses. Using advanced techniques like computer vision and diffusion models, AI can help healthcare professionals interpret medical images more accurately and quickly. Additionally, AI is expected to accelerate drug discovery. By identifying correlations and patterns that might not be obvious to human researchers, AI could help in finding new treatments and vaccines, potentially leading to major breakthroughs in medical treatments.

Gaming Innovations Driven by AI

The gaming industry is expected to see significant advancements due to AI. AI-driven NPCs (Non-Playable Characters) will offer unique interactions each time, making games more dynamic and engaging. Also, AI-generated game art will speed up the game development process, allowing creators to produce games more quickly. However, the ease of game creation might also result in an influx of lower-quality games, as more people, including those with limited game development experience, start creating games.

Rise of AI Influencers

AI-generated influencers, which are virtual personas created using AI, are expected to become more common. As AI technologies for creating art and videos improve, it will become easier to create virtual personas that look realistic and consistent. This will open new possibilities in digital marketing and entertainment, where these AI influencers could engage with audiences on social media platforms, participate in marketing campaigns, and even create their content.

Robotics and Self-Driving Vehicles

2024 is expected to be a significant year for advancements in robotics and self-driving vehicle technology. Companies like Tesla are making notable strides in this area. This could lead to more automation in transportation, with self-driving cars becoming more common and reliable. It might also lead to automation of low-skill or hazardous jobs, as robots take on tasks that are currently performed by humans.

Open-Source vs Closed-Source AI

There’s an ongoing debate between open-source and closed-source AI models. Open-source models are freely available for anyone to use and build upon, which can lead to innovation and reduced biases. However, they could be used unethically. Closed-source models, controlled by specific organizations, may offer safer environments but raise concerns about data privacy and potential biases. The balance between fostering innovation and addressing ethical concerns will be a key discussion point in the AI community.

The Year of XR (Extended Reality)

2024 is predicted to be a big year for extended reality, which includes technologies like virtual reality (VR) and augmented reality (AR). With major releases like the Apple Vision Pro and advancements in AR glasses, XR technologies are expected to become more popular and accessible. This could lead to new and innovative applications in entertainment, education, and other fields.

Apple’s Increased Involvement in AI

Apple is expected to make significant moves in the AI arena in 2024. There’s speculation about a new version of Siri that could compete with advanced AI models like GPT-3.5 or GPT-4. Additionally, the Apple Vision Pro, a device that might feature numerous AI capabilities, indicates a deeper integration of AI into Apple’s product ecosystem.

Legal Battles Over AI Copyright and News

The rise of AI technologies like ChatGPT presents challenges to traditional news outlets. There might be increased legal battles over copyright and the distribution of AI-generated content. This could lead to a need to reevaluate copyright laws and how news is disseminated and consumed.

AI Agents and Emergent Behavior

AI agents, which are AI systems designed to perform specific tasks or roles, are expected to show improvements in their capabilities and find more real-world applications. They are predicted to exhibit more emergent, human-like behavior, raising philosophical questions about the nature of consciousness and humanity. AI agents could be used in simulations to predict human behavior in various contexts, such as advertising, political polling, and social studies.

Synthetic Data’s Growing Importance

Synthetic data, which is data created artificially rather than by real-world events, is anticipated to become more important, especially in sectors where privacy is a major concern, like healthcare and finance. The ability to generate new data for training future AI models could be key to overcoming challenges related to data privacy and availability.

Multimodal AI Becoming the Standard

Multimodal AI, which can process and understand various forms of input like images, video, audio, and text, is predicted to become standard in AI models. However, challenges remain in ensuring that all input types are equally represented and not dominated by one over the others, and in effectively combining different types of data to enhance AI understanding and capabilities.

Challenges in Detecting Advanced AI Bots

As AI technology advances, detecting bots, especially those used for malicious purposes, will become more difficult. This poses significant challenges, especially in the context of the 2024 elections, as deep fakes and AI-generated content could influence public opinion. One proposed strategy to combat bot networks is charging for online services, which could make it economically unfeasible to operate large networks of bots.

No Emergence of AGI in 2024

Despite significant advancements in AI, a true Artificial General Intelligence (AGI) – an AI that has the ability to understand, learn, and apply its intelligence broadly across different domains – is not expected to emerge in 2024. Discussions around the nature and definition of AGI continue, along with speculation about when such a breakthrough might occur.

GPT-4.5 Release

GPT-4.5, a successor to the current GPT-4, is expected to be released in the first half of 2024. It is predicted to be a significant improvement over GPT-4, being faster, cheaper, and more efficient, but it will still be based on the existing GPT-4 architecture and not a complete leap to GPT-5. This model is expected to enhance various AI applications with improved performance and capabilities.

LlaMA 3 and Open-Source AI Models

In 2024, we’re eagerly anticipating the launch of LlaMA 3, an open-source language model that promises to be a game-changer. This model is poised to rival the likes of GPT-4, which are proprietary models developed by big tech companies. Open-source AI, where the underlying code and models are freely available for anyone to use and modify, is gaining momentum. Companies like Meta (formerly Facebook) are leading this charge, making AI more accessible and collaborative. This shift towards open-source AI is significant because it allows more people, including researchers, developers, and hobbyists, to contribute to and benefit from AI advancements, fostering a more inclusive and innovative environment in the tech world.

Conclusion

These predictions for 2024 showcase an exciting and transformative year for AI, with advancements spanning from open-source models and chatbots to robotics, healthcare, and beyond. As AI continues to evolve and integrate into various aspects of our lives, it brings both opportunities and challenges that will shape the future of technology and society.