Insights from Tech Pioneers: AI, Quantum Computing, Cloud and Emerging Technologies

The article is a transcript of the "Cloud+ Community Salon Online" where three experts—Qingrun (a veteran software engineer), Hao Shaogang (Tencent Quantum Lab researcher), and Li Zhuohuan (PreAngel partner and TVP)—share their career journeys and perspectives on emerging technologies.

Growth Stories : Qingrun recounts starting with BASIC in 1986, moving from material engineering to programming, working on face‑recognition and behavior analysis at the Chinese Academy of Sciences, and later founding a company focused on animal‑related technologies such as cross‑species language communication. Hao Shaogang describes graduating from Tsinghua physics, research at the US Department of Energy labs, work at ASML and Google, and now leading quantum‑computing projects at Tencent. Li Zhuohuan introduces his decade‑long experience as an angel investor, backing early mobile‑Internet, AI, blockchain and NLP startups, and mentions his open‑source chatbot project Wechaty.

Views on New Technologies : The speakers discuss the rapid evolution from AI, cloud, and 5G to future fields like autonomous driving, edge computing, and quantum computing. Hao emphasizes the physical limits of Moore’s law and the challenges of sub‑2 nm chips, while noting opportunities in AI‑accelerated quantum simulation. Li highlights the importance of practical AI applications beyond high accuracy, such as object detection and conversational agents. Qingrun stresses the role of curiosity, interest‑driven learning, and the value of re‑using older concepts (e.g., Spring’s helper pattern) in modern development.

Q&A Highlights :

Why does productivity feel lower despite better hardware? – AI performance gains have plateaued; future work should focus on new research problems and real‑world deployment.

Which programming language to start AI with? – Python, due to its rich ecosystem (PyTorch, TensorFlow).

AI in drug discovery – AI can accelerate molecule screening and has already entered FDA‑level pipelines.

Will AI replace humans? – Repetitive tasks are replaceable; creative work remains human‑centric.

How to embrace technology as a non‑programmer? – Cultivate curiosity, hands‑on practice, and focus on concrete use‑cases.

Impact of 5G on AI – Faster transmission enables richer AI‑driven experiences (e.g., cloud‑rendered 3D scenes, remote animal interaction).

The discussion repeatedly underscores that genuine learning comes from applying technology to real problems, that interest drives sustained growth, and that interdisciplinary experience (physics, material science, finance) enriches innovation.