@seclink: In the future, there will be 23-year-old 'old programmers' with 5 years of experience everywhere: 1. Using PyTorch, PySpark, Gemini, GPT, Claude, Mimo, Qwen, Doubao like pros... 2. In the past, training a developer familiar with Spring Boot took 3-5 years...
Summary
Discusses the phenomenon of young programmers quickly mastering multiple tools and frameworks such as PyTorch, Spark, Gemini, GPT, Claude in the era of large AI models, and believes that in the future, there will be a large number of young developers with many years of experience.
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@turingbook: Actually, this has been the norm for a while. In 2023, at Guangnian Zhiwai, many of my colleagues were former CTOs of some company or early employees of Kuaishou (around the 10th employee). Today, I had dinner with an old friend who just joined a major large model company. He sold his company, interned for a while, just became a regular employee, and is now starting to build a team.
An observation on talent flow in the AI large model industry: many former CTOs and early Kuaishou employees join relevant companies, and the phenomenon of founders selling their companies, then interning, becoming regular employees, and starting to build teams.
@shitunote: Former Google CEO Eric Schmidt described a dramatic shift in programming paradigms in a recent video interview: "Programmers no longer write code line by line. Instead, they wake up in the morning, go to the office (because people have social needs); then gather 10 Claude friends or 10 Gemini friends (i.e., AI agents), set them up with target functions, and watch them generate code; then go out for lunch, ensuring the AI keeps working; come back in the afternoon, assign a long enough task for the AI to run overnight, and go home to spend time with family. The next morning, the results are there."
Former Google CEO Eric Schmidt described a future programming paradigm in an interview: programmers will command multiple AI agents (like Claude, Gemini) to generate code instead of manually coding. This tweet sparked discussion, asking if the description is accurate.
@seclink: https://x.com/seclink/status/2057086514975404108
Anthropic engineer shared development experience of long-duration AI agents, including multi-role division and independent evaluators, enabling AI to automatically generate complete applications within 3-5 hours, with a 12x improvement in continuous operation capability.
@AYi_AInotes: Fellow AI learners, stop just tuning packages. Writing a large language model from scratch is now easier than mastering PyTorch. Look at these two 19-year-old undergrads—they built a complete ML framework and a large model from scratch in four months. Two 19-year-old Waterloo undergrads, who knew nothing about ML four months ago, now…
Two 19-year-old undergraduates from the University of Waterloo built a complete machine learning framework and a 12M-parameter large language model from scratch in four months, using Rust and TypeScript, emphasizing understanding from the bottom up rather than just using packages.
@ai_super_niko: https://x.com/ai_super_niko/status/2070299861757616606
This article discusses whether computer professionals still need to learn technical skills in an era where AI can write code. The author argues that surface-level technologies like syntax and APIs are depreciating, but deeper capabilities such as algorithms, design architecture, and judgment become more important. The focus of learning should shift from beginner-level skills to the knowledge required of senior engineers.