There are enough AI blogs. Most of them read like a press release with the serial numbers filed off. This one is trying to be the thing I actually wanted to read: written by someone who uses these tools every day, likes them more than is probably healthy, and still reads the fine print.
The short version
I think large language models are one of the most useful things to happen to my work in a decade. I also think most of what gets written about them is either breathless hype or lazy doom. Both are boring, and both are usually wrong.
So the rule here is simple. I write about tools I have actually used, news I have actually read past the headline, and opinions I am willing to defend. If a model is good, I say so. If it is overpriced, oversold, or quietly worse than last month version, I say that too.
What you will find
- News that has been filtered. Not every model release matters. Most of them are a decimal point.
- Guides written from real use, not from the documentation. If a trick only works in a demo, it does not go here.
- Reviews that test things instead of repeating the benchmark chart. Benchmarks lie, gently, and I will show you where.
- Opinion with a spine. You will disagree with some of it. Good.
The stance, stated plainly
I am a skeptic who loves the technology. Those two things are not in tension. The people who love a thing the most are usually the ones most annoyed when it gets misused, and right now AI gets misused constantly. It is bolted onto products that were fine without it. It is sold as a person when it is a very good autocomplete. It is trusted with decisions it has no business making.
Loving a technology means being honest about what it cannot do yet. Anything else is fandom.
None of that changes the fact that I used a model this morning to untangle a bug that would have cost me an hour, and it took ninety seconds. Both things are true. Keeping both in your head at once is the whole job.
What this blog will not do
No affiliate-bait listicles. No "10 prompts that will change your life." No pretending a chatbot is your friend. And no articles that could have been generated by the very tools they describe, which, given the topic, would be a special kind of failure.
If that sounds like your kind of thing, stick around. The models keep getting better, the marketing keeps getting worse, and somebody has to keep score.