Nuance is hard. Binary choices are fast, comforting, and require less thought. Certainty feels safer than ambiguity — especially in conflict, where complexity threatens identity. And in most arenas (tech, media, politics), decisive hot takes get applause. Fence-sitters get ignored.
I worked at a startup where the CEO swore up and down that real-time fine-tuning was the future — that models would continuously update with company data. It sounded cool until you remember:
That’s not how LLMs work.
It’s not efficient.
It’s not flexible.
And it’s not even necessary — we already have RAG.
Pipedreams make good pitch decks. But they break when you hit production.
It's a fucking pipedream, this. That's not how LLMs work, it's not efficient, it's not useful (we have RAG for reference augmentation), and it’s not even desirable unless you want your model overfitting on stale, internal narratives every night.
I worked at a startup where the CEO swore up and down that real-time fine-tuning was the future — that models would continuously update with company data. It sounded cool until you remember: That’s not how LLMs work. It’s not efficient. It’s not flexible. And it’s not even necessary — we already have RAG.
Pipedreams make good pitch decks. But they break when you hit production.
It's a fucking pipedream, this. That's not how LLMs work, it's not efficient, it's not useful (we have RAG for reference augmentation), and it’s not even desirable unless you want your model overfitting on stale, internal narratives every night.