man... where do we even start. lately ive been working a lot with ai agents and large language models (llms). let me just say this so it's recorded in history -- ai agents are going to take over user experience for casual internet users, that's without question.
the shift is already happening. people are starting to interact with systems in completely natural ways, using voice, natural language, and conversational interfaces instead of clicking through menus and filling out forms.
what makes ai agents special?
traditional software requires you to learn its interface. ai agents learn yours. that's the fundamental difference. instead of memorizing where the "export to pdf" button is buried in some menu, you just say "export this as a pdf" and it happens.
but it goes deeper than convenience. ai agents can maintain context across conversations, remember your preferences, and adapt to your workflow in ways that traditional software never could.
the edge computing angle
here's where it gets interesting for me personally. i run most of my ai workloads on nvidia jetson boards - edge computing devices that can handle serious ai processing locally. why does this matter?
- privacy: your data doesn't leave your device
- speed: no network latency for ai responses
- reliability: works even when internet is down
- cost: no per-request charges to cloud providers
what i'm building
i've been experimenting with voice-controlled ai assistants that run entirely on local hardware. the experience is pretty wild - you can have natural conversations about complex topics, ask for research help, or just bounce ideas around.
the key insight is that ai agents work best when they're deeply integrated into your existing workflow, not as separate applications you have to context-switch to.
where this is all heading
in the next few years, i think we'll see ai agents become the primary interface for most computing tasks. instead of learning software, we'll just describe what we want to accomplish.
the interesting question isn't whether this will happen, but how quickly, and whether it happens through centralized cloud services or distributed edge computing. i'm betting on edge.
anyway, that's enough rambling for now. if you're interested in this stuff, feel free to reach out. always happy to talk about ai, edge computing, or whatever other technical rabbit holes i'm currently exploring.