Two AI startups, Anysphere and Mercor, are in funding talks at £1.6 billion+ valuations each. Anysphere developed a code generation assistant, while Mercor provides staffing for AI companies. Both have received investor term sheets.
AI-generated job applications are becoming prevalent, with an estimated 25% of applications appearing AI-generated. Recruiters can easily identify these due to generic language, lack of personal details, and overuse of buzzwords. Common issues include robotic tone, formulaic templates, and failure to edit AI-generated text. Recruiters advise using AI tools only as a starting point, emphasising personalisation with specific experiences and targeted information. Quality over quantity is recommended when submitting job applications.
Research on open-source large language models (LLMs) revealed significant racial and gender biases in resume screening. The models strongly favoured white and male candidates, with Black men facing the most discrimination. These biases likely stem from societal privileges reflected in the LLMs' training data.
