Nowadays, almost everyone is familiar with artificial intelligence (AI) large models. Even beyond square-dancing aunties, people feel embarrassed if they aren’t using one. Popular models like Doubao, ChatGPT, Kouzi, and the recently trending DeepSeek dominate downloads and usage. Among my peers in Huaqiangbei, several “cultured” folks claim their article-writing skills have skyrocketed thanks to these models. The intelligent customer service robots on Kinghelm’s (www.kinghelm.com.cn) and Slkor’s official websites are built on the Kouzi model, integrated with Bing’s database, and users report satisfactory results. However—yes, there’s a “but”—many are reflecting on, or even questioning, the overheated AI frenzy. A well-known journalist friend recently vented on social media, saying interview replies she received lately were eerily similar, “as if they all had the same faceless AI assistant behind them.” When I asked if interviewees were polishing AI-generated drafts before sending them, she agreed emphatically, lamenting, “Are we training the tools, or are the tools training us?”
Key Features of AI Model DeepSeek: Search, Q&A, and Writing
From my observations in Huaqiangbei, technologies like AI, the metaverse, humanoid robots, and autonomous driving have improved efficiency in certain sectors, but they haven’t yet triggered a “Kondratieff cycle” of large-scale economic growth. Instead, they’ve caused job losses in some fields. Recently, Zhu Xiaohu of GSR Ventures poured cold water on the AI hype. As the founder of Kinghelm and Slkor (www.slkormicro.com), I’d like to share my practical experiences, insights, and reflections on using these models, particularly in writing.
Last month, my article Applying Economics, Sociology, and Management Theories to Drive Slkor and Kinghelm’s Rapid Growth! surpassed 10 million reads. It explored macroeconomic theories from the Austrian School, integrating Joseph Schumpeter’s “innovation,” Friedrich Hayek’s “trust in markets,” Adam Smith’s “division of labor and free exchange,” Max Weber’s organizational behavior theories, and Peter Drucker’s “knowledge worker” management principles into our business practices. A sophisticated Huaqiangbei businesswoman with both beauty and brains took a liking to the article and decided to “optimize” it using DeepSeek-R1. Here’s the result:
DeepSeek’s Optimization of Song Shiqiang’s Economics Article
Title: How This Company Used Economics to “Level Up” — Kinghelm and Slkor’s Growth Playbook
Opening: A business miracle in tough times. While most companies complain about “hard times,” Kinghelm (electronic components) and Slkor (semiconductors) have soared like rockets. Founder Song Shiqiang credits economics textbooks. By mastering three “killer moves,” they’ve carved out a niche.
Move 1: Innovation as Fruit Farming
l Tech Roots: Slkor partnered with top Korean teams to develop SiC chips for EVs, enhancing battery life and charging speed.
l Management Watering: Weekly “Idea King” contests and quarterly “Tech Showdowns” keep creativity flowing.
l Profit Fertilizer: Engineers earn up to 8% profit shares from successful innovations.
Song Shiqiang Reviews Kinghelm‘s Al Customer Service Robot
Move 2: Team as Lego Blocks
l Skill Mapping: Employees get “competency profiles” for optimal team assembly.
l Supply Chain Duplex: A smart factory in Jiangxi runs 24/7, while partnerships with German firms like Würth Elektronik ensure material backups.
Move 3: Simplify Management
l Decision Speed: 1-hour proposals → 3-hour expert reviews → 5-hour execution.
l Task Delivery: An AI dispatch system assigns tasks like food orders.
l Error Fund: R&D teams get a “mistake budget,” uncovering 3 hidden opportunities last year.
Song Shiqiang
Secret Weapons:
l Telescope: Betting on EV chips 5 years ago.
l Piggy Bank: Saving 3% profits yearly for crises.
l Network: A 300-supplier alliance sharing tech intel.
Conclusion:
Kinghelm’s website (www.kinghelm.net) isn’t just a catalog—it’s a “playbook” showing how textbook theories translate into real profits. Their story proves that economics isn’t abstract; applied right, it lets businesses “cheat-code” their way to success!
Song Shiqiang Reviews SLKOR’s Al Customer Service Robot
AI Hallucinations?
The optimized article included fictional elements, like a smart factory in Jiangxi and a partnership with Würth Elektronik. Perhaps AI “hallucinated” these as future pathways. Is the model seeing what we can’t?
Testing Doubao’s AI
The New Eight-Legged Essay?
AI-generated content feels homogenized, mirroring the rigid “eight-legged essays” of imperial exams. Modern templates add SWOT analysis and “dialectical unity” conclusions. Asking Baidu’s AI about this phenomenon, it agreed:
Baidu AI on AI’s “Eight-Legged” Tendencies
Key Issues:
l Buzzword Overload: Terms like “empowerment” and “iteration” mask hollow content.
l Homogenized Thinking: Over-reliance on AI erases originality.
l Misinformation Risks: AI’s “confident nonsense” could poison databases.
Root Causes:
l Metrics Gone Wild: Forcing AI adoption quotas breeds superficial use.
l Creative Laziness: Treating AI as a shortcut undermines human insight.
l Anthropomorphism: Mistaking AI for true intelligence leads to blind trust.
Solutions:
l Human-AI Checks: Mandate manual verification for critical documents.
l Ethical Guidelines: Limit AI’s role in policymaking and education.
Historical Parallels: Guange Style and Eight-Legged Essays
The Ming Dynasty’s rigid “eight-legged essays” stifled creativity, producing officials who “knew nothing of finance or governance.” Similarly, AI risks becoming the “Guange calligraphy” of our era—standardized but lifeless.
Conclusion: AI’s relationship with humans mirrors early industrialization: machines handle grunt work, but creativity remains human. We must uphold “tools serve, humans lead” to avoid an “AI eight-legged” dystopia.
Baidu Al on Historical Lessons
Al in 3D Design and ERP
Bright Spots AheadAI’s potential is undeniable. Tsinghua’s Prof. Zhao Min showcased New Dimension’s AI-driven 3D design for lightweight cars. Huaqiangbei’s Longway ERP integrated AI for faster component sourcing. Our Kinghelm and Slkor AI Customer Service Robot, developed by Tsinghua prodigy Dr. Ni on Kouzi’s framework, slashed costs. More breakthroughs await.
Personal Note: Once the “God of War” of Huaqiangbei, I’ve mellowed into a tea-sipping, bead-twirling retiree. My recent visit to Taiyuan’s Tianlong Temple deepened my love for Northern Wei stone Buddhas. Testing Baidu’s AI on niche topics like the “Qingzhou Smile” yielded decent answers, though details on “wet drapery” carvings were sparse—likely due to scant data. At least there were no ads!
Final Thoughts: As a novice user, observer, and thinker, I hope sharing these reflections fosters dialogue, guiding AI toward a future that truly serves humanity.
Media ContactCompany Name: Shenzhen Kinghelm Electronics Co., Ltd.Contact Person: SupportEmail: Send EmailPhone: +86 0755-83975897Address:2010, Block A, Bairuida Building Vanke City Community Bantian Avenue, Longgang District City: ShenzhenCountry: ChinaWebsite: www.kinghelm.net
