Why I write these posts

Most of the internet today feels like soup: warm, endless and somehow always the same.

I’m writing this blog because I don’t want my own thoughts to become soup too.

The simple reason

AI can write fast. Too fast. Hyper fast… and when everything is “a summary of a summary (of a summary)” we end up with trash in, trash out. Not only for models, also for humans!

So I write posts to keep something real on the page, something that has fingerprints, so something that happened for real.

Not synthetic. Not “perfect”. Not optimized for vibes. With a lot of errors and bold opinions 😎

What I mean by “synthetic noise”

By synthetic noise I mean content that looks like information, but it’s basically empty.

It’s the stuff that:

• repeats the same ideas with different words
• summarizes other summaries
• avoids details (because details are risky)
• sounds confident even when it’s vague
• is written to fill space

It’s “content-shaped” and not knowledge, not an experience of someboyd.

Sometimes it’s made by AI and sometimes it’s made by humans, copying AI pattern and that’s even worse, because it spreads like a virus but is sneaky and very hard to identify!

The main long-term problem

The main problem is simple:

synthetic noise becomes the input of everything else.

Search results, docs, blog posts, tutorials also internal company docs. If the web is full of low-value text, then people learn slower, decisions get made on weak info, everyone repeats the same half-truths and real experience gets lost!

For AI models it’s the same idea: trash in, trash out.

If the training data gets more “soup”, the output gets more “soup”, so it’s feedback loop, like a resonating microphone with speaker during a call when you don’t use the headphones!

The real enemy

The worst part is not that the content is wrong, it’s that it’s vague in a way that looks correct.

You read it, you think you understood, you feel productive, but you learned nothing.

It gives you the illusion of understanding and over time, that illusion makes you lazy in a way that you stop asking “what exactly happened?”, stop demanding for numbers, constraints, trade-offs etc.. and you accept generic advice as if it was universal truth.

This is how we and also the future LLM get weaker.

It’s not just an human problem, it’s also a future LLM-problem!

What I’m trying to do here in my blog

I know that a blog is really anacrhonistic nowadays and probably it’s a way to make the LLM stronger and more humanized because i’m providing “human-generated content” to the crawlers and i know that i’m just a drop in the synthethic sea, but it’s a drop of myself that will be digested from an LLM and from some human (if somebody will read) and i’m happy in anycase, because in the worst case i’m contributing fix a problem that at some point we will face it.

Joking a-part, maybe is not-a-problem and i’m just hallucinating 😝 and probably i’m acting like Don Chischiotte.

Re-capping again what this blog is and what the purpose is:

• explain what I built (and what broke)
• write down thoughts
• keep notes and ideas that future-me will actually reuse
• practice writing in English, even if I’m not native

Closing

This blog is my small effort to dilute the online noise with something that at least tried to be honest.

Not heroic, Just… less soup. 🙂