The emergence of DeepSeek underscores that the global AI landscape remains fluid and unpredictable.

In essence, as long as innovation persists in AI, the status quo can be overturned at any moment.

Observing DeepSeek's ascent amidst industry giants, it becomes evident that it has struck a crucial blow to the vulnerabilities of global AI players, thereby securing its renown.

From now on, people's perceptions of AI will undergo a profound transformation.

If I were to encapsulate the significance of DeepSeek's emergence, I would characterize it as a pivotal moment in the evolution of global AI.

With DeepSeek, the development of global AI transcends the realms of mystery and elitism, truly embracing a stage of widespread and popular advancement.

AI in the future will cease to be the exclusive domain of early adopters who monopolize every advantage; instead, it will become a new frontier for any player willing and capable of innovating.

Retrospecting on the past trajectory of AI development, it is evident that it has largely been a capital-driven model of expansion.

Both the computational demands of AI players and their heavy reliance on hardware exemplify this point.

The advent of DeepSeek altered this narrative. Previously established "formulas" were fundamentally rewritten, gradually unveiling a grander vision of AI development.

One of the primary reasons for DeepSeek's immense impact is its precise targeting of the vulnerabilities of global AI.

1. The Vulnerability of "Closed Source" Supremacy

Even as AI development reaches a relatively mature stage, the debate over the merits of open source versus closed source continues.

A significant factor fueling this debate is the lack of a clear criterion for players to determine which approach is superior for AI.

This remains true even with the rise of OpenAI.

However, with DeepSeek's emergence, this question begins to find a definitive answer.

DeepSeek resoundingly declares to the world that only through continuous open sourcing and integration of external computational power can AI truly advance to a new level of development.

For those players aiming to maintain their edge through closed source, DeepSeek serves as a stark reminder of their limitations.

DeepSeek's advocacy for open source stems from the belief that only by doing so can we continually dismantle established barriers and bridge the gap between AI pioneers and latecomers, thereby restoring AI to its core application.

For those who once revered closed source as gospel, DeepSeek's appearance is a jarring wake-up call.

Examining the current state of the AI industry, it becomes apparent that while some players claim to be open source and others closed source, in reality, none have achieved true open source. Instead, they view closed source as a means to preserve their market position.

DeepSeek's emergence has altered this landscape, exposing the vulnerabilities of global AI players to the world.

2. The Vulnerability of "Computing Power" Supremacy

If DeepSeek has provided clarity to the open source versus closed source debate in AI, its dismantling of the myth surrounding computational power and hardware is another tangible example of its targeting of global AI's vulnerabilities.

This is evident in the sharp decline in the market value of AI hardware players like NVIDIA following DeepSeek's emergence.

DeepSeek's rise truly underscores that AI is not about amassing vast quantities of hardware or computational power to maintain a lead.

For AI, innovation—and only continuous innovation—can sustain an advantage and continually extend leadership.

For those players who view the accumulation of AI software and hardware as a means to preserve their lead, DeepSeek strikes at their core.

Through DeepSeek, we recognize that neither software nor hardware is the bargaining chip for maintaining a leading position in the AI race. Only innovation can truly ensure invincibility in the AI arena.

Another tangible example of DeepSeek's targeting of global AI's vulnerabilities is its reshaping and correction of the essence and core of AI industry development.

Post-DeepSeek, AI players must abandon the mindset of relying solely on first-mover advantages and hardware accumulation to reap perpetual dividends. Instead, they should seek new dividends through continuous innovation, thereby truly achieving leadership in the AI race.

3. The Vulnerability of "Model" Supremacy

Prior to DeepSeek's emergence, the external perception of AI was misconstrued.

The most direct manifestation of this was the mystified admiration for large AI models.

However, the adoration for large models stems not only from the approach of AI pioneers who use them as an entry point but also from the misdirected focus of capital markets on AI.

They erroneously believe that only by investing heavily in constructing a dam of large models can they gain an edge in future applications.

As DeepSeek began to rise, the shortcomings of a development model that emphasizes only large models started to become apparent.

DeepSeek vividly demonstrates to the world that even without substantial investments in developing large models, one can still compete in the AI race with low costs and minimal investments.

Whether it's DeepSeek's strategy of leveraging small investments to compete with large models or the fact that Li Feifei's team created a model comparable to DS-R1 for less than $50 after DeepSeek's emergence, it becomes clear that relying on vast capital to build large models to maintain leadership is outdated and will lead to a dead-end development path.

Another manifestation of DeepSeek's targeting of global AI's vulnerabilities is the shift away from the supremacy of large models towards a greater focus on applications and constructing cost-effective models.

For players who have always centered AI development around capital and large models, DeepSeek represents a significant setback.

Abandoning the approach of solely relying on heavy investments to build large models and truly focusing the center of AI development on applications, while shifting the driving force of AI to algorithmic innovation, may be the mainstream and trend of AI industry development in the post-DeepSeek era.

Conclusion

DeepSeek has confronted the current global AI players with undeniable facts.

Ultimately, DeepSeek's targeting of global AI's vulnerabilities is a tangible manifestation of its role as a pivotal moment in AI development.

For DeepSeek, instead of adhering to closed source, it embraces open source; instead of emphasizing computational power, it focuses on algorithmic innovation; instead of amassing large models, it emphasizes implementation and application. Perhaps this is the key to its successful emergence and rise amidst giants.

DeepSeek is indeed a watershed moment.

It bids farewell to an era dominated by capital and computational power, ushering in a future where innovation and algorithms reign supreme.