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What do we need to know about DeepSeek?

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January 28, 2025

TLDR: A new Chinese AI called DeepSeek has caused debate, similar to previous controversies like TikTok and ChatGPT. UT-Dallas computer science professor Dr. Gopal Gupta discusses it on Ask the Expert.

1Ask AI

In recent days, the tech world has been buzzing with the announcement of a new AI model known as DeepSeek, which has stirred debate reminiscent of the TikTok controversy. In this episode of Ask the Expert, Dr. Gopal Gupta, a computer science professor from UT Dallas, delves into the implications of this innovative AI model originating from China.


What is DeepSeek?

DeepSeek is an AI tool akin to popular models like ChatGPT, Co-Pilot, and Grok, but it’s distinct in that it claims to have significantly reduced the resources and costs associated with training large language models. Key points discussed include:

  • Training Efficiency: Traditional large language models can require massive amounts of computing power and financial investment. For instance, OpenAI reportedly spent upwards of $100 million for a single training iteration. In contrast, DeepSeek reportedly achieved comparable outcomes using only $5 million to $10 million.
  • Impact on Suppliers: The introduction of DeepSeek led to a notable decline in the stock prices of companies supplying hardware for AI training, as the need for extensive resources appeared diminished.

Who Can Use DeepSeek?

DeepSeek is designed for a broad audience:

  • Individuals: Similar in functionality to existing AI models, it is accessible to anyone familiar with platforms like ChatGPT.
  • Businesses: By democratizing access to AI, DeepSeek also paves the way for small businesses to utilize advanced technologies without the hefty price tag often linked to traditional models.

Open Source Approach

One remarkable aspect of DeepSeek is its open-source model, which comes with both potential benefits and concerns:

  • Transparency: The model has been released publicly, allowing users to download and install it on their local machines. This alleviates concerns about data privacy, especially given the geopolitical backdrop, as users can manage their data without it being routed through servers based in China.
  • Community Verification: While the training process remains a private venture, the details published in their research paper allow the tech community to scrutinize and verify claims.

Cost Implications for AI Use

The episode highlights how DeepSeek's innovations could lead to lower costs in AI usage:

  • Subscription Costs: Current expenses for using models like OpenAI’s can range from $20 to $200 per month. With DeepSeek's lower training costs, it's anticipated that these subscription fees may also drop, making AI technologies more accessible.
  • Increased Adoption: Cheaper operational costs translate into a wider adoption of AI tools by businesses, making AI a common aspect of everyday operations rather than a luxury.

Addressing Concerns about Data Privacy

Dr. Gupta addresses concerns that arise with the use of AI models from Chinese companies:

  • Skepticism About Claims: While it's clear the company has made strides in reducing costs, skepticism remains about the authenticity of their claims without further scrutiny.
  • Strategic Move: By opting for an open-source approach, DeepSeek aims to sidestep previous data privacy concerns associated with competitors like TikTok.

The Competitive Landscape

DeepSeek is part of an evolving landscape where ongoing improvements in AI are expected:

  • Continuous Innovation: The tech industry is characterized by its rapid evolution, where existing models learn from newcomers to enhance their functionalities. DeepSeek's innovations may inspire other companies to refine their technologies as well.
  • Changing Narratives: The conventional belief in exorbitant costs for AI infrastructure is being challenged, shifting the industry's focus toward more efficient and cost-effective methods.

Conclusion: Embracing the Future of AI

As discussions around DeepSeek unfold, it becomes clear that this development could redefine access to AI technologies. Key takeaways include:

  • The potential for cost-saving innovations in AI training and operation.
  • The democratization of AI usage, allowing broader adoption across varying sectors.
  • The importance of transparency and community involvement in overseeing data privacy concerns.

Overall, as AI continues to permeate various aspects of our lives, tools like DeepSeek reflect its growing accessibility and the shifting paradigms in technological development.

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