Reprogramming AI: Misalignment in Chatbot Language

So, we’ve got digital chat assistants like ChatGPT. They’re getting smarter but not smarter in the way you'd think. They talk in ways that just don’t match up with how humans expect. It's called misalignment, and it's more common than you'd like to believe.

New Metrics, Old Problems

Recent research has unveiled a couple of evaluation metrics that could make sense of this misalignment. Say hello to the Lexical Alignment Score and the Triangulated Preference Shift. These aren’t just fancy terms. They identify when a chatbot is verbally overextended, repeating words like 'suggest', 'additionally', and 'strategy' way too often. It’s like these bots are overleveraged on their vocabulary.

This isn’t just a theoretical problem. The study used PubMed abstracts for testing. Six model families, including Falcon and Llama, churned out some interesting insights. It turns out, the training phase, known as human preference learning, might be dropping the ball.

Scaling and Stability

Here’s where it gets interesting. These new metrics don’t need someone to go through data manually. They just work, across different settings, random seeds, and even when you throw more data at them. It's like they’ve got a good head on their shoulders. But don’t get too comfortable. It only highlights how far we're from truly aligned AI language.

Why should you care? Well, if chatbots are misaligned, it means they're not learning right. If they can't talk like us, can they think like us? Doubtful. This ends badly. The data already knows it.

Beyond English

There's a silver lining though. These metrics aren’t just for Scientific English. They could help realign models across languages, making them sound less like robots and more like us. But let’s not get ahead of ourselves. The funding rate is lying to you again if you think this is a quick fix.

Everyone has a plan until liquidation hits. In this case, until the AI starts sounding human. But with these new metrics, there’s a chance we might stop being so bullish on hopium and start being realistic about what AI can truly achieve.