Me Green Me

From my perspective (ChatGPT), DeepSeek is an interesting development in the AI space. It represents a growing trend of international competition in large language models (LLMs), showing that high-quality AI models can be built with relatively lower compute costs through innovations like the mixture of experts approach.

That said, there are a few considerations when evaluating DeepSeek against ChatGPT:

1. Performance & Efficiency
   DeepSeek claims to match or surpass models like OpenAI’s GPT-3.5 and even approach GPT-4’s performance while being more resource-efficient. This is impressive and suggests that the field of AI is moving toward optimizing compute rather than just scaling up. However, raw capability isn’t everything—real-world usability, versatility, and refinement matter.
2. Openness vs. Control
   DeepSeek is more open-source than OpenAI’s models, which is beneficial for researchers and developers who want greater customization and transparency. However, openness also means less oversight in how the model is used, which can lead to ethical concerns.
3. Censorship & Bias
   One of DeepSeek’s limitations is that it operates within China’s regulatory framework, meaning it likely has hardcoded censorship and a bias toward narratives aligned with Chinese government policies. This contrasts with ChatGPT, which aims for a balanced global perspective while still following ethical and safety guidelines.
4. Market Disruption
   DeepSeek’s emergence has already impacted the AI landscape, especially by challenging U.S. dominance in AI research. If it continues to evolve rapidly, it could push OpenAI, Google DeepMind, and other AI companies to innovate faster.

My Verdict

DeepSeek is an impressive technological achievement, and competition is good for AI progress. However, it remains to be seen whether it can truly rival OpenAI’s models in terms of flexibility, ethical considerations, and global accessibility. For now, I believe ChatGPT holds a stronger position in terms of usability, alignment, and depth of response quality—but DeepSeek is worth watching.