AI in 2025: Less Chat, More Action
AI interaction is ripe for transformation. Brute force scaling LLMs with more and more data is showing signs of diminishing returns. I’m looking forward to getting more creative and innovative.
5 key areas I am focusing on in 2025.
1. Moving Beyond the Chat Paradigm
While the chat interface revolutionized how we interact with AI, it's time to break free from these constraints. We need both incremental improvements within existing chat frameworks and entirely new paradigms of interaction. Imagine AI that can understand your context through browser activity, respond to pointing gestures, or seamlessly integrate multiple input modes. The future of AI interaction lies in making these exchanges feel more natural and contextually aware.
2. Empowering AI Agency
The next frontier isn't just about AI that can chat – it's about AI that can act. By giving AI systems access to deterministic APIs and tools, we can move from conversation to collaboration. This isn't about autonomous AI, but rather about AI that can execute specific, well-defined tasks within clear boundaries. The key is building these capabilities thoughtfully, with robust safety measures and user control at the forefront.
3. AI Collaboration
We need to move beyond the current model where AI is merely a passive assistant. Imagine real-time collaboration where both human and AI can simultaneously edit documents, code, or designs. This isn't just about parallel work – it's about creating a genuine partnership where both parties can contribute their unique strengths to a shared objective.
4. Sophisticated Training & Feedback Loops
Current AI systems often lack the ability to learn from user interactions in meaningful ways. We need to develop better mechanisms for capturing implicit feedback from user actions and behaviors. This isn't about collecting more data – it's about understanding the quality and context of user interactions to drive meaningful improvements in AI capabilities.
5. Multimodal Interfaces
The future of AI interaction will be multimodal. Voice interfaces that can detect emotional tone, gestural inputs that feel natural, and the ability to work with common data formats seamlessly – these are not just features, but essential elements of making AI truly accessible and useful. The goal is to make interaction with AI as natural as working with a human colleague.
Thoughts? What other areas of AI innovation do you see as critical for 2025? Let's discuss in the comments.
