🇨🇳 Breaking Down DeepSeek

AI is evolving fast, but not every model is playing by the same rules.

DeepSeek is stepping onto the scene with a bold proposition: an open-source, highly technical AI built to challenge industry heavyweights like OpenAI and Google.

Unlike its more mainstream counterparts, DeepSeek isn’t just another chatbot—it’s designed for precision, logic, and customization, making it a standout choice for developers and engineers.

But does it live up to the hype? Let’s break down what DeepSeek can do, where it struggles, and how it stacks up against the competition.

What is DeepSeek?

DeepSeek is an advanced AI language model developed by a Chinese startup that’s looking to compete with the major players.

Unlike many proprietary AI models, DeepSeek is open-source, meaning developers can access, modify, and deploy the model on their own infrastructure. This has made it particularly appealing for researchers, businesses, and developers looking for a customizable AI solution.

It’s also made it particularly unappealing to Big Tech and Wall Street who were sent into a tizzy last week after the sophisticated model claimed to have been made at a fraction of the cost of its rivals.

What DeepSeek Can Do

DeepSeek functions similarly to other large language models, and looks remarkably similar to ChatGPT’s platform. It enables user to:

• Generate text-based content, including articles, stories, and code

• Assist with problem-solving in mathematics, engineering, and science

• Provide AI-powered customer support solutions

• Answer general knowledge questions with rapid response times

However, what sets DeepSeek apart from many competitors is its technical focus—it excels in logical reasoning, problem-solving, and coding-related tasks.

Some users have found it superior to ChatGPT in mathematics and technical problem-solving, making it a preferred choice for developers and engineers.

What DeepSeek Can’t Do

While DeepSeek has garnered attention for its efficiency and open-source nature, there are several areas where it falls short compared to other LLMs:

• Limited Creativity: DeepSeek is primarily designed for technical tasks and may lack the creative flair found in models like OpenAI's GPT-4. This limitation makes it less suitable for generating imaginative content, such as creative writing or marketing copy.

• Reduced Conversational Depth: DeepSeek's focus on technical accuracy can result in less engaging conversational abilities, making it less effective for applications that require nuanced human-like interactions.

• Strict Content Restrictions: Operating under more stringent content moderation policies means DeepSeek may avoid or limit responses on politically sensitive topics, which can hinder open discussions in certain contexts.

• Opaque Data Sources: There are concerns regarding the transparency of DeepSeek's training data, leading to potential biases and misinformation in its outputs. This opacity contrasts with other models that strive for more transparent data practices.

How DeepSeek Compares to ChatGPT

Both DeepSeek and ChatGPT are powerful AI chatbots, but they have distinct differences in terms of functionality, accessibility, and regulation:

One of the biggest advantages of DeepSeek is customization—developers can modify the model for specific applications without being tied to proprietary software.

On the other hand, ChatGPT offers a more well-rounded experience, excelling in both creative and conversational tasks.

DeepThink Ponders Before It Speaks

DeepSeek's "DeepThink" feature is designed to enhance it’s reasoning capabilities by elaborating on the initial prompt to provide more detailed and structured responses.

When activated, DeepThink takes a few moments to process the user's query thoroughly, elaborating on the objective and breaking it down into more manageable components. This deliberate processing allows the AI to generate step-by-step explanations, particularly beneficial for complex tasks such as mathematical problem-solving, coding assistance, or theoretical noodlings.

For example, we asked DeepSeek:

In just 12 seconds, the LLM shared all of its thoughts on our inquiry—weighing economic and employment factors, considering alternative viewpoints, and even generating additional pertinent questions—before delivering a comprehensive analysis.

This thorough approach not only provides a detailed response but also highlights other areas worth exploring, leading to a more well-rounded and effective search.

What’s Next?

DeepSeek is proof that AI isn’t just evolving—it’s diversifying. Whether it’s a real challenger to ChatGPT or simply a specialized tool for a niche audience depends on how you plan to use it.

Either way, DeepSeek’s arrival signals one thing: the AI race is far from over, and the next big breakthrough can come at any time and from anywhere.

Have you tried out DeepSeek for yourself yet? What did you think? Let us know in the comments below!