The world of AI is evolving at an unprecedented pace, and as we look towards 2025, several key trends are emerging that will shape the future of this technology. Martin Keen, a Master Inventor, shares his insights on what we can expect in the coming years, from advancements in AI agents to the rise of both large and small models.
Key Takeaways
AI Agents: Expect significant improvements in AI agents that can reason, plan, and take action.
Inference Time Compute: New models will enhance reasoning during inference, allowing for smarter responses.
Very Large Models: The next generation of AI models may reach up to 50 trillion parameters.
Very Small Models: Smaller models will operate efficiently on personal devices without heavy computational requirements.
Advanced Use Cases: AI will tackle more complex enterprise challenges, enhancing customer service and IT operations.
Near Infinite Memory: AI systems will retain extensive memory, improving user interactions.
Human In The Loop Augmentation: Collaboration between AI and human experts will become more effective.
Audience Engagement: The community's input will shape future AI trends.
The Rise Of AI Agents
AI agents are becoming a focal point in the AI landscape. These intelligent systems are designed to reason, plan, and take action, breaking down complex problems into manageable steps. However, current models often struggle with logical reasoning in intricate scenarios. As we move towards 2025, the expectation is that we will see better models that can handle these complexities more effectively.
Enhancements In Inference Time Compute
Inference time compute is another critical trend. This refers to the time an AI model spends processing real-time data and generating responses. New AI models are being developed to extend this processing time, allowing for more thoughtful reasoning before delivering answers. This means that the time taken for simple queries may be just a few seconds, while more complex requests could take several minutes. The ability to improve reasoning during inference without retraining the entire model is a significant advancement.
The Era Of Very Large And Very Small Models
The landscape of AI models is set to diversify dramatically. On one hand, we have very large models, with the next generation potentially reaching up to 50 trillion parameters. On the other hand, there will be a rise in very small models, which can operate efficiently on personal devices like laptops and smartphones. These smaller models, despite having only a few billion parameters, will be tailored for specific tasks, making them accessible and practical for everyday use.
Advanced Use Cases In AI
As AI technology matures, we can expect to see more advanced use cases in enterprise settings. In 2024, common applications included improving customer experience and automating IT operations. By 2025, we will likely see AI systems that can proactively optimise entire IT networks and customer service bots capable of solving complex problems rather than merely routing tickets.
Near Infinite Memory For AI Systems
One of the most exciting prospects is the development of AI systems with near infinite memory. This capability will allow AI to retain extensive information about users, leading to more personalised and effective interactions. Imagine customer service chatbots that can recall every conversation they've had with you, enhancing the overall user experience.
Human In The Loop Augmentation
The concept of human in the loop augmentation is gaining traction. Studies have shown that while AI can outperform human experts in certain tasks, the combination of human expertise and AI should ideally yield even better results. However, the challenge lies in effectively integrating AI tools into professional workflows. As we approach 2025, we can expect advancements that make it easier for professionals to leverage AI without needing to be experts in the technology.
Engaging The Community
Finally, the future of AI trends will not solely be dictated by experts. The input from the community will play a crucial role in shaping what’s next. In previous discussions, audience members have shared their thoughts on important trends, and this engagement will continue to be vital as we move forward.
In conclusion, the landscape of AI in 2025 promises to be dynamic and multifaceted, with significant advancements in AI agents, model sizes, and practical applications. As we navigate this evolving field, staying informed and engaged will be key to harnessing the full potential of AI technology.
