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pre-screen 100+ engineering candidates in 5 mins using gpt-vetting.

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Ali Ansari

22,051 subscribers

5,215,821 görüntüleme • 2 yıl önce •via X (Twitter)

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8 Yorum

Ali Ansari profil fotoğrafı
Ali Ansari2 yıl önce

We do not want a machine to determine a candidate's fate. Therefore, there is no concept of "passing" or "failing" in gpt-vetting. The objective is to provide employers with a comprehensive view by offering more data. This includes an AI-generated report based on all responses, as well as a transcript. This allows humans to review and listen to the answers, aiding them in deciding whether to proceed with interviewing the candidate. This process supplements the candidate's resume, LinkedIn profile, and other relevant data points that influence the employer's decision to interview. In summary, AI does not pass or fail candidates. Rather, it equips employers with additional data, enabling them to make more informed decisions about advancing candidates to the next stage of the interview process.

M profil fotoğrafı
M2 yıl önce

I don’t think this is a good idea. People will just start needing to research how to best optimize their resume for AI, adding more unnecessary complexity to job applications

Ali Ansari profil fotoğrafı
Ali Ansari2 yıl önce

its not a resume parser

Evan Otero profil fotoğrafı
Evan Otero2 yıl önce

These guys just wanna talk

AztkSmooth profil fotoğrafı
AztkSmooth2 yıl önce

Terrible product.

Texburgh profil fotoğrafı
Texburgh2 yıl önce

Imagine getting your career entirely determined by a mfing computer 💀💀💀💀

miss trial profil fotoğrafı
miss trial2 yıl önce

This feels illegal and anti-human

Stalowka🧯 profil fotoğrafı
Stalowka🧯2 yıl önce

Terrible idea

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Excited to introduce the world’s first AI interviewer, gpt-vetting. With gpt-vetting, you can interview 100x more candidates in less time & candidates get a more enjoyable, gamified, and less biased interview experience. You define the skills you want the interview to focus on, gpt-vetting asks verbal questions, and then jumps into a coding exercise. You then review the report that includes an AI assessment of each tech stack, and a trust score. In its beta, gpt-vetting has already conducted 13,000 AI interviews, saving ~10k hours for software engineers who would otherwise be conducting technical interviews.
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