NASA’s new dark energy space telescope can also detect killer asteroids
technologyreview.com·1h ago
Data Science
Simon Willison's Blog·Jun 24·5 min read
Quoting Tom MacWright
TL;DR
Job applications are increasingly being generated by large language models (LLMs), leading to a lack of personal insight into candidates. These applications often include LLM-created portfolios and GitHub projects, which do not reflect the individual's true capabilities.
✦ Why It Matters
Engineers and researchers should prioritize authenticity in their applications to stand out in a competitive job market.
Key Takeaways
- Avoid relying solely on LLMs for job applications.
- Highlight personal projects and experiences in your portfolio.
- Craft unique and authentic commit messages.
- Engage in discussions to showcase your true self.
Full Summary
In recent months, Tom MacWright has observed a trend where job applications are increasingly co-written by large language models (LLMs). These applications often link to LLM-generated portfolio sites and GitHub projects, complete with automated commit messages.
MacWright expresses concern that such applications lack personal touch and authenticity, making it difficult to understand the true capabilities and character of the applicants. He emphasizes that the polished, generic nature of these resumes reveals little beyond the tools used, leading to a sense of 'accidental anonymity.'
This trend raises questions about the value of human creativity and individuality in the job application process, as candidates may rely too heavily on AI-generated content.