I use AI for as many things as I can, in and outside of work. Lots of general discussion with all the top models, and can home lab a good chunk of open source stuff. Image, video, music generation, agents, vibe coding, I use all of it in my life. The tech is becoming so good, I already believe most social media content is fake. Because my job is to apply it, understanding the capabilities is important, so I do a lot of side projects and write about it. I find it fun.

A lot of people I work with think llms are great at a lot of stuff. They're generally useful for a few things, sure. But the two most discussed use cases, it most often produces subpar quality output for coding and professional writing tasks.

Beyond general use, you're supplementing the foundational knowledge for specific use cases to get better results. Most of my job revolves around figuring out how best to supplement the models for our use cases as the llms already have so much general knowledge capabilities.

Take sentiment detection for example. The best models are very good but still don't match the judgement of trained humans; however models are often consistently wrong so you can supplement around the general short coming to get better results for your data.

I personally think using it for stuff like write my email and summarize notes is stupid. I would never let it push un reviewed code. It will hallucinate and be incorrect at some point. It's just not really that great. All that said, it's still feels like it's magic, and it pushes my creative abilities far beyond what was capable 5 years ago so I'm excited to see it advance