DeepSeek’s rise sent shockwaves through the industry, stoking fears that the free-source movement could unravel AI’s economic foundations—triggering turmoil in US tech stocks. Markets wavered. Investors panicked. The power balance in AI seemed to shift overnight. Is this the dawn of a new AI superpower, or will ChatGPT’s dominance remain unchallenged?
So, which side are you on—Team DeepSeek or Team ChatGPT?
Decoding Malaysian Sentiment: Key Themes Emerging from the Comments
To truly understand the discourse, it’s essential to delve into the comments, which highlight the core themes shaping public opinion.
1. Cost Efficiency: Open Source Reigns Supreme
DeepSeek: 87% positive sentiment (praised for its open-source, free-to-use model).
Key Phrases: (Deepseek is like Linux OS, free and open source)
ChatGPT: 85% negative sentiment (criticised for its subscription-based pricing).
Key Phrase:
“Ko pakai chat GPT tu kena langgan buat apa. Sok yang kaya Elon Musk orang US. Nanti dia bantu Israel. Nak ke ?””(Why do you use chatGPT, you need a subscription. If you let Elon Mask get richer will you help the Israel’s)”
Implication: The most downloaded free app advantage gives DeepSeek significant traction in Malaysia’s AI market.
2. Reliability: The Need for Accuracy and Consistency
ChatGPT: 70% positive sentiment (trusted for accuracy).
DeepSeek: 56% positive sentiment (struggles with consistency).
Key Phrase: “ade tgok satu comparison deepseek jawapan tk jelas dan lmbat response berbanding chatgpt” (Saw a comparison, DeepSeek answers aren’t clear and response is slow compared to ChatGPT)
Implication: Building trust through reliable and consistent performance is crucial for long-term adoption.
3. Data Privacy: Geopolitical Concerns and User Control
ChatGPT: 78% negative sentiment (users wary of U.S. data practices).
Key Phrases: (To use ChatGPT, you have to agree to give data.)
DeepSeek: 56% negative sentiment (concerns linger but are less pronounced).
Key Phrase: “deepseek amik data juga,tp samalah mcm app usa yg lain 
” (Deepseek takes data too, but it’s the same as other US apps)
Implication: Data analysis and security concerns, often tied to geopolitical views, significantly influence user trust.
4. Speed and Clarity: The User Experience
ChatGPT: 71% positive sentiment (praised for quick, coherent responses).
DeepSeek: 32% positive sentiment (lagging in clarity despite decent speed).
Implication: A user-friendly interface and clear, concise answers are essential for everyday tasks.
5. Tech Prowess: Coding and Logical Reasoning
DeepSeek: 70% positive sentiment (applauded for coding and logical reasoning).
Key Phrase: “Dh try deepseek r kat home server. X perlu hardware power pun. Tapi padu teruk. Habis code aku dia tapau” (Tried deepseek on my home server. Doesn’t need powerful hardware but it’s really good. It finished all my code.)
ChatGPT: 50% positive sentiment (criticized for numerical flaws).
Implication: For users requiring AI for specialized tasks like technical queries and creative tasks, DeepSeek is gaining ground.
Sentiment Analysis: A Numerical Overview
Important Note: These percentages are based on the analysed comments and may not be representative of the entire Malaysian population.
Final Thoughts: A Shifting AI Landscape
The competition between DeepSeek and ChatGPT is more than just a battle of algorithms. In Malaysia, it reflects a complex interplay of economic factors, geopolitical considerations, and a desire for accessible, trustworthy AI solutions. As the AI landscape continues to evolve, understanding these diverse perspectives will be crucial for navigating the future.
There is an ever-present debate in the comments regarding the China vs. US rivalry, with users actively discussing the potential power shift in AI dominance. The demand for powerful AI systems like ChatGPT, DeepSeek and other AI tools that cater to specialized technical tasks, and creative writing continues to shape the market. Both DeepSeek, ChatGPT and other AI models are vying for dominance in this head-to-head comparison, each offering unique advantages within the landscape of large language models.
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