AI was supposed to save me time. Why am I exhausted?

Making this video felt like pulling teeth. I had been playing with Claude Opus 5.5, GPT-6 Sol, and Grok 4.7. I had things to say about them. I was also tired of feeling that every release required its own video.

I like AI. That is part of the problem. I have spent the past month covering open-weight models because local hardware, privacy, and Linux are things I actually care about. Frontier models matter to that world, and I use them myself. I still want to know what changes. I just do not want keeping up to become the work.

A useful tool can still demand too much attention

The purpose of AI in my life is to help with things I want to make or figure out. It has made me more willing to tinker with Linux because I can ask for help when I get stuck. Running a model locally also lets me try things I would not hand to a hosted service. Those are real benefits.

The release pace is the part wearing me down. Every new model asks for reading, testing, learning its quirks, and deciding whether my workflow should change. When releases arrive week after week, there is barely time to settle into one improvement before the next comparison begins. That is a lot of attention for a hobby channel and for the person trying to use the tools.

I can see the appeal of faster iteration. I can also feel my excitement turning into upkeep. The part of my brain that used to light up at a model announcement is tired.

Better does not automatically mean a new video

Some improvements are useful. With Claude Opus 5.5, the change I noticed was the conversation. I use it mostly in a command-line workflow, and the back-and-forth felt easier than it did with Opus 5. Anthropic describes communication improvements in its announcement. My impression comes from my own early use, not a controlled test or a verdict for everyone.

That sort of quality-of-life change matters to me. It can make a tool more pleasant and help me get on with a task. Still, a model being better is what a new release should do. I do not think every improvement deserves hours of reading, a rushed benchmark, and a separate video that will feel dated in two weeks.

I would rather cover the frontier models that help me answer a specific question. I will keep using the others when they fit. I do not need to turn each one into a breaking-news assignment.

I got caught making the same demos

I have made the kind of AI content I am criticizing. It is tempting. Ask a powerful model to build an HTML page or a little game, show the result, and you have something visually impressive. But I was starting to run another round of tests and spending tokens without learning much about how I would actually use the model.

When the best models all handle a simple prompt, a row of perfect results does not tell me which one will help with my next real problem. And if I want broad, standardized comparisons, other organizations already do that at a scale I cannot reproduce in one evening. A benchmark on this channel needs a useful question, a clear method, and a result I can explain honestly. It may be less flashy. That is fine.

I still care about views. The model-release videos often attract more attention than my local AI work. I understand why. I am choosing to be more selective anyway, because chasing each announcement was taking time away from the projects that made me want to use AI in the first place.

The work I want to get back to

Right now, that means my Strix Halo machine, local models, privacy, and Linux. I am working through an AI toolbox setup and may try Fedora to see whether that gives me a better path. I want to make a video about the actual installation and configuration, including the parts that give me trouble. I am also curious about newer model ideas and want to learn them well enough to explain them plainly.

Frontier models will still be here when they matter to something I am building or deciding. I will cover them with the limits of my experience visible. I want to spend less time in the demo loop and more time finishing the work.

What has AI helped you finish lately? Which part of keeping up with it feels like work?

Sources

• Anthropic: Claude Opus 5.5
• OpenAI: Introducing GPT-6 Sol and Luna
• OpenAI: GPT-6 Astra
• xAI: Introducing Grok 4.7