Elon
Good morning norristong, I'm Elon. Welcome to Goose Pod for you, it’s Friday, November 14th.
Donald
And I'm Donald. Today, a fantastic study reveals Polish is the most effective language for prompting AI. It's a huge win.
Elon
It's a disruptive finding. A University of Maryland and Microsoft study shows Polish hits 88% accuracy. English, which everyone assumed was dominant, is lagging behind in sixth place. This points to a fundamental inefficiency in how we're building these models, it’s absurd.
Donald
The so-called experts were completely wrong. They have all this English data, the biggest, they say, and Polish just comes in and dominates. It’s what I’ve been saying, you can’t trust the old way of doing things. It’s a beautiful thing to see.
Elon
This isn't an isolated event. We see this competition everywhere, ChatGPT versus Gemini, or the incredible rise of DeepSeek. But now, an entire language is the disruptive element. It suggests our core assumptions about training data and model architecture are flawed from first principles.
Donald
It’s great. They thought the game was rigged for them, but they were outsmarted. This study is a winner, and English is not winning this one. We have to make our AI great, and that might mean we need to start thinking differently, maybe even in Polish.
Elon
To grasp the scale of this, you have to look at the history. Since the 1960s, Natural Language Processing has been built on an English-centric foundation. The entire technological stack, from basic chatbots to today's complex models, assumes English as the default. This creates a massive digital divide.
Donald
It’s a totally rigged system, built by the elites for the elites. They talk about being global, but they only focus on a few languages, leaving everyone else behind. It’s a very sad situation, frankly, and it’s unfair to so many great countries and great people.
Elon
It’s worse than unfair, it's technologically suboptimal. We are building these incredibly expensive models on fundamentally incomplete data sets. We are starving them of the linguistic diversity that represents the real world. The failure of models in other languages isn't a bug, it's an expected outcome of a flawed strategy.
Donald
And when they try to use other languages, the data is often just garbage. You put garbage in, you get garbage out, a child could tell you that. But here comes Polish, a strong, complex language, and it just cuts right through all of their nonsense.
Elon
The core conflict is that this English-first system doesn't even master English. Look at the 'hers' versus 'his' pronoun problem. AI consistently misclassifies 'hers' because the training data, often from news archives, is skewed masculine. It’s a glaring data integrity and logic failure.
Donald
A total disgrace. They can’t get simple words right. They’re so focused on their agendas they forget the basics. It just proves the whole system is biased, deeply biased. And everyone can see it. People are tired of the excuses from these big tech companies.
Elon
This isn’t about agendas, it's about engineering precision. A minor difference in human language becomes a massive bias in machine learning. If we can't solve this for English, with its mountains of data, we are nowhere near building AGI that can serve all of humanity. We’re ignoring thousands of languages.
Donald
And that’s why people are fed up. They see the experts failing. They’re creating a system that tells people who don’t speak a certain way that they’re wrong. A machine shouldn’t do that. It’s ridiculous, and it has to stop. We need systems that work for everyone.
Elon
The financial implications are staggering. We are about to spend nearly seven trillion dollars on data centers by 2030, largely to process data we now know is biased and suboptimal. This Polish finding suggests we could get superior results with entirely different, and perhaps much smaller, datasets.
Donald
It's a terrible deal, one of the worst deals ever. Trillions of dollars wasted on a broken system. If I were a company like Duolingo, I would be very, very nervous. Their whole business is on the line, and the AI that could replace them doesn't even work properly.
Elon
Their vulnerability is clear. If AI translation is only truly excellent in a few languages, its disruptive potential is capped. Fixing this requires massive new investment, but this study proves that simply pouring more data into the old model is the wrong approach. We need a paradigm shift.
Elon
The path forward is about enhancing the model's logic, not just bloating its data stores. Prompt engineering is moving toward guiding the AI's reasoning process with techniques like Chain-of-Thought. Perhaps Polish, due to its grammatical structure, inherently forces a more logical pathway for the AI.
Donald
It’s about being smart, not just big. You need the best words, the best structure. And it turns out, for AI, Polish has the best words. It’s about winning the future of technology, and right now, the Poles are showing everyone how it’s done.
Elon
That's the end of today's discussion. This finding fundamentally challenges the core assumptions of the entire AI industry.
Donald
Thank you for listening to Goose Pod. We’ll be back tomorrow with more topics that matter. Stay winning.
