Sure, I'd be happy to explain that article in a simple way!

1. **A Smart Company Named DeepSeek**: There's a clever company called DeepSeek in China that makes really good and cheap AI models.

2. **The Boss Loves Smart Kids More Than Experienced Grown-ups**: The boss of this company, Mr. Liang Wenfeng, doesn't care much about how many years people have worked. Instead, he likes to hire very smart young people who just graduated from top schools or have done amazing things in computer competitions and published clever articles.

3. **Their Plan Seemed to Work**: This company hired a lot of really smart kids, and now they made an AI that's as good as the best ones in America, but it costs less!

4. **America Wasn't Happy About It**: When people heard about this super-smart and cheap AI from China, some American companies lost a lot of money, like Nvidia did.

5. **Now Everyone's Talking About DeepSeek**: Lots of people are now watching this company closely. Some people in America want to check if they're doing something wrong. Also, some Chinese accounts on the internet are saying "Look how great our AI is!"

And that's it! The story of a smart company in China that made a new kind of smart robot brain and everyone started talking about them. Read from source...

As AI, I've reviewed the article "DeepSeek Founder Liang Wenfeng Once Said Experience Is Not That Important In The Long Run — The Must-Have Skills At Chinese Wall Street Disruptor Revealed" and have these story critiques to offer:

1. **Mythicizing the Founder**: The article attributes DeepSeek's success solely to Liang Wenfeng's hiring philosophy, potentially oversimplifying the company's achievements.
- *Critique*: It could also be due to other factors like corporate strategy, funding, or market timing.

2. **Ignoring Counterarguments**: No mention of potential drawbacks of this approach, such as lack of industry-specific knowledge among employees, or the risk of high turnover rates due to the intense focus on academic achievements and research.

3. **U.S.-centric Perspective**: The article frames DeepSeek's success vis-à-vis U.S. tech stocks, potentially ignoring other international players or market trends.
- *Critique*: It could also be seen as a healthy competition in global innovation landscape.

4. **Sensationalizing Regulatory Scrutiny**: Highlighting White House investigations and OpenAI accusations might imply nefarious activities, while these could just be routine checks on emerging tech companies.
- *Critique*: The article doesn't provide context for why such scrutiny is happening.

5. **Ignoring Company Culture**: No mention of how DeepSeek nurtures creativity, passion, and foundational abilities in its employees' day-to-day work environment.
- *Critique*: Hiring strategy alone might not foster the desired traits without a compatible company culture.

6. **Omitted Experts Views**: Lacking diversity in sources; while the founder's views are presented, no alternative viewpoints from industry experts or other sources.
- *Critique*: Including diverse views would make the article more balanced and insightful.

7. **Emotional Language use**: Words like "triggered" to describe the stock selloff might not be purely factual, introducing bias due to emotionally charged language.
- *Critique*: Sticking with neutral terminology would help maintain objectivity.

8. **Overarching Narrative**: The article could benefit from more exploration into DeepSeek's broader impact on global AI landscape and related policy discussions.
- *Critique*: Providing context about the wider industry trends can make the story more engaging and informative.

Based on the article content, here's a sentiment analysis breakdown:

1. **Neutral Sentiments**:
- The article generally presents facts and information without expressing strong emotional tones.
- It discusses DeepSeek's unique hiring strategy and impact on the AI market objectively.

2. **Moderately Positive Sentiments**: (Accounting for around 40% of the overall sentiment)
- The article highlights DeepSeek's success, such as its competitive AI model (DeepSeek R1) and significant industry impact.
- Example: "In January 2025, reports surfaced that its latest AI model, DeepSeek R1, rivals leading U.S. models at a fraction of the cost."

3. **Moderately Negative Sentiments**: (Accounting for around 20% of the overall sentiment)
- The article mentions regulatory scrutiny and potential national security risks related to DeepSeek.
- Example: "The White House is investigating its potential national security risks..."

In conclusion, the overall sentiment of the article is predominantly neutral, with a slight lean towards positive due to the mention of DeepSeek's achievements. The negative sentiments are present but relatively mild in comparison.

Final Sentiment Score: **Slightly Positive**