What Will DeepSeek Look Like in 2035? A Future‑Facing Take on the Current AI Hype
The author reflects on DeepSeek’s explosive popularity, compares it to early ChatGPT hype, and outlines ten observations—from early‑stage entry and tool comparison to long‑term AI marathon thinking—offering a forward‑looking perspective on how technologists should navigate the AI transformation.
This piece starts with a personal anecdote about how DeepSeek has become ubiquitous, noting that the author spent a morning testing DeepSeek and other AI tools with a longtime friend, and that publishers are rushing to release DeepSeek books.
Images illustrate the media frenzy, university newsletters, and search index trends surrounding DeepSeek.
1. Not just a current AI rush; the entry point should have been two years ago
Early entrants can build technical barriers, mid‑term players can capture scenario revolutions, and latecomers should focus on vertical domains. Any valuable output—beyond simple AI content copying—is still worthwhile.
2. Those who never use AI tools will be left behind
This view is gaining traction: many tech bloggers who once produced technical articles have stopped updating, prompting the author to explore new AI‑plus pathways to avoid being replaced.
3. Even the best AI tools need comparison shopping
The author’s personal toolkit includes DeepSeek, Doubao, Kimi, Perplexity.ai, and ChatGPT‑4o.
4. From a ten‑year perspective, AI is a marathon, not a sprint
Racing ahead is meaningless; the goal is to see farther, anchor direction, deepen commitment, and persist longer.
5. Embrace AI hotspots and changes
From both technical and media angles, staying up‑to‑date with AI developments is essential.
6. AI development must learn from history
Recall the rise and fall of mobile‑internet technologies; today’s AI tools resemble the “hundred‑team battle” of the post‑mobile‑Internet era, and in ten years perhaps only the top three providers will remain.
7. Prioritize AI in all work
Whether writing code, drafting technical proposals, or other tasks, use AI first when it can outperform human effort, and refine prompts before blaming the AI for unsatisfactory results.
8. Do not fantasize that humans can outpace AI
In many specialized and comprehensive domains, AI already surpasses individual capabilities, a widely accepted fact.
9. Keep pace with the AI megatrend
True AI empowerment means integrating it into daily life, work, and learning, not merely watching short videos; beware of scams promising quick million‑dollar gains.
10. Re‑thinking AI long‑termism: not just chasing the hype
When the hype subsides, the lasting impact will belong to those who continuously practice AI‑plus thinking and nurture human curiosity and creativity, rather than merely riding the wave.
Signed-in readers can open the original source through BestHub's protected redirect.
This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactand we will review it promptly.
Mingyi World Elasticsearch
The leading WeChat public account for Elasticsearch fundamentals, advanced topics, and hands‑on practice. Join us to dive deep into the ELK Stack (Elasticsearch, Logstash, Kibana, Beats).
How this landed with the community
Was this worth your time?
0 Comments
Thoughtful readers leave field notes, pushback, and hard-won operational detail here.