Will AI model take into communites stock ?

This is where OpenAI and Microsoft have raised concerns, alleging that DeepSeek might have used ChatGPT to train its model. OpenAI has spent billions scraping the internet to train its model, despite facing ongoing copyright disputes. For DeepSeek, replicating this approach would be both inefficient and constrained by limited GPU availability and financial resources. Instead, it leveraged distillation to train its model.

If distillation becomes widespread, building AI models will become significantly easier. Developers can now train new models using multiple existing AIs, each excelling in different areas. This is precisely what DeepSeek did—it distilled knowledge from Meta’s open-source Llama model and Alibaba’s Qianwen. Furthermore, it incorporated a Mixture of Experts (MoE) approach, activating specific AI components only when required, thereby reducing compute costs.

Think about it this way: I could build my own model by combining open-source models and refining them through distillation, using various trained AIs. If I wanted to, I could even distill DeepSeek into my own model. This effectively makes AI models a commodity—similar to how anyone can find free recipes online and mix elements to create their own unique dish.

With AI models becoming commoditized, many closed, paid models will struggle to compete. However, ChatGPT holds a distinct advantage—it’s not just an AI model but a fully developed consumer product.

Consider Microsoft Office as an analogy. Free alternatives like Google Docs, OpenOffice, and LibreOffice exist, yet Microsoft Office remains dominant. Why? Because of its network effect—users stay within its ecosystem due to familiarity, compatibility, and widespread adoption.

ChatGPT has achieved a similar effect, becoming the most widely used LLM in the world with an estimated 300 million weekly active users. In contrast, most other models have yet to reach this scale or evolve into full-fledged consumer products. As a result, many of them will be commoditized and primarily serve as one of the many models available rather than standalone AI products.

AI models are increasingly heading toward commoditization. In the near future, building a model will no longer be a challenge—anyone will be able to adopt and customize existing models for their own use.

We've already seen a proliferation of models following ChatGPT’s success—Perplexity, Anthropic, Claude, Ernie, Qianwen, and many more. DeepSeek is just another addition to this growing list. The reality is, creating a model isn't the hardest part. The real challenge lies in breaking through the noise and achieving widespread adoption and monetizing it.