@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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@FinanceYF5: Garry Tan believes that the AI era will see a wave of highly capable "older founders." They may be 35, 40, or even 45, with years of engineering experience and having stepped on enough landmines to know what's worth doing. Peter Steinberger is a typical example. Once AI amplifies such people's abilities 400 times, one...
Garry Tan believes the AI era will bring forth a cohort of experienced older founders, with AI greatly amplifying their abilities — to the point where a single person can rival an entire department of a tech giant.
@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: Sharing two opportunities to enter high-paying fields with zero experience, first come first served: 1. Alibaba is hiring reinforcement learning (RL) algorithm interns, responsible for long-horizon task dataset synthesis, regular master's students can do it. 2. Alibaba is hiring Code Agent direction interns, responsible for self-evolving code Agent development, regular master's students can...
The tweet shares two internship positions at Alibaba (in reinforcement learning and Code Agent directions), and highlights the open-source terminal AI programming assistant mimofan: built on Rust, supporting Xiaomi MiMo and mainstream large models, with capabilities such as code generation, bug fixing, and automated testing.
@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.