A Comparison Between Deep Seek and Chat GPT

 


China's launch of its artificial intelligence app Deep Seek has sent shockwaves through financial markets worldwide, prompting US President Donald Trump to call it a "wake-up call" for the US tech industry.

Deep Seek claims that its AI model, R-1, was developed at a fraction of the cost of its competitors' models. The claim has raised questions about the future of the entire industry and has led to the downgrade of some of the world's largest companies.

Deep Seek has become the most downloaded free app in the US just a week after its launch. The question is how it stacks up against its already established and seemingly much more expensive US rivals, such as Open AI, Chat GPT, and Google's Gemini.

Writing Assistance

When you ask Chat GPT what the biggest reasons are for using it, he claims that helping people write is one of them.

Artificial Intelligence has become a tool for its users to collect information in a helpful format, summarize it, and write blog posts on a wide range of topics. Thus, it has become a wonderful companion for many in their office work.

As a proud fan of the Scottish football team, I asked the chatbots to ‘draft a blog post summarizing the best Scottish football players in history.’ Similarly, I asked Chat GPT and Deep Seek to summarize the best Scottish football players.

Deep Seek responded within seconds. It produced a list of the top ten players, with Liverpool and Celtic's Kenny Dalglish at number one. He also provided information about the players, including the position they played in and the clubs they played for, as well as summaries of their notable performances.

Deep Seek also profiled two non-Scottish players. The Danish native and Ranger's legend Brian Laudrup, and the other was Celtic hero Henrik Larsson.

For Larsson, Deep Seek added that "the Swede Larsson is often included in discussions of Scottish football legends due to his influence at Celtic."

For a subsequent blog post, he detailed Laudrup's nationality before giving a brief overview of the players' careers.

The answers that Chat GPT gave to the same question and had many names in common. He also put ‘King Kenny’ at the top. His detailed blog post concisely and accurately covered the careers of all the players.

He concluded that ‘although the game has changed over the decades, the impact of these Scottish greats is timeless.’ And there’s no doubt about it.

In this fun test, Deep Seek certainly looked more valuable than his most famous American rival, Chet GPT.


Coding

The emergence of advanced AI models has made a big difference to those who code.

When Chat GPT was shut down last week, many coding or developer users made humorous posts on social media X that they could not do their work without their trusty tool.

How does Deep Seek Compare here?

Javier Aguirre, an AI researcher at Samsung Medical Center in Seoul, South Korea, is associated with a field of medicine, i.e. research in medicine and artificial intelligence.

He wrote in a post on LinkedIn social media platform “I am quite impressed with Deep Seek. During coding, we usually try to take AI chatbots to the point where they explode to see their capabilities in helping with coding.

“Today I have a difficult and complex problem in front of me. Even Chat GPT O-1 couldn't give a proper solution. I then tried Deep Seek and it solved it immediately with accuracy.

He also pointed out that a combination of models can lead to success for coders. Eddie Osmani, head of Chrome Developer Experience at Google also agreed with this.

In a LinkedIn post to his 208,000 followers, he talked about combining Deep Seek with Cloud Sonnet, an artificial intelligence tool from American company Anthropic.

It should be noted that in 2023, Amazon invested four billion US dollars in Anthropic.

Eddie Osmani said that coding with artificial intelligence. Cloud Sonnet with Deep Seek R-1 for coding could be the best hybrid model. And yes, engineers are using them together.

Osmani also said that Deep Seek is “significantly cheaper” to use than the Cloud Sonnet and the Open AIK O-1 model.

Fresh Ideas

We brainstormed and asked Chat GPT and Deep Seek to ‘give me ideas for children’s stories about a boy living on the moon.’

Chat GPT came up with six neat ideas within seconds. One was about a boy named Max who works as a postman on the moon and is sent on an adventure. Another was about Oliver who is drawn to the sounds of a mysterious orchestra created by aliens (creatures from another world).


None of these stories will challenge Harry Potter or the Rool of the Tomb Raider anytime soon, but it might be the beginning of a much better idea.

 On the other hand, Deep Seek responded with just one idea. He came up with the idea of ‘Luna and a boy who chases the stars.’ His answer was 387 words long, in which he didn’t explain what ‘Luna’ was, but rather told the story of a curious boy named Milo who lives on the moon. 

I found that while the Chat GPT gave me six different ideas, Deep Seek wrote a whole story. Although it wasn’t a very good story, it quickly delivered a story based on a simple character going from A to B. It’s just the beginning, but it’s impressive.

Learning and Research

I remember my high school history teacher telling us how World War I began in 1914 in a complex situation between many European powers, with the assassination of Archduke Franz Ferdinand as the immediate cause.

We wondered how chatbots would handle explaining such a complex and important part of history. And it turned out very well.

Chat GPT gave a detailed overview of it and outlined the key factors. Deep Seek’s analysis was not as thorough, but its brief overview covered all the important points and events.

Google’s Gemini Assistant provided a summary similar to Chat GPT and Deep Seek, but it also gave the user the opportunity to click on links to credible sources, such as the Imperial War Museum in the UK.

I also saw other tasks and indicators that Deep Seek outperformed its American competitors.

The Attempt to Get Ahead

The tasks I gave the chatbots were simple, but they point to something more important, and the winner in the so-called artificial intelligence race is yet to be decided because the race is still long.

Despite the vast resources that American companies have poured into the field, their Chinese rivals have shown that their successes can be emulated.

Professor Neil Lawrence, professor of deep mind machine learning in the Department of Computer Science and Technology at the University of Cambridge, said this was just the beginning.

“I think this is the tip of the iceberg in terms of the kind of innovation, we can expect from these models,” he said.

He cited an example from history, highlighting how James Watt is considered synonymous with the steam engine, even though he improved it rather than invented it.

He said that there is plenty of room for the new James Watts to emerge and that the likelihood of him coming from among the existing players is slim.

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