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SF Tech Week 举办 AI-Native Talent Hunt:用真实工作任务替代 LeetCode 面试

Why we picked it

面试不看 LeetCode,看你真干活的过程,OpenAI Codex、Dify 这些公司出的都是真实业务题,找工作的人可以关注后续校园场。

Emergences Labs 在 SF Tech Week 举办了 AI-Native Talent Hunt 招聘活动,获得 1600+ 报名、300+ 现场参与者和 200+ 作品提交,累计超过 10000 分钟工作录像。活动由 OpenAI Codex 担任 agent 合作伙伴,Dify、GenDigital、Cresta 等 10 家公司参与出题,任务分为 Product、Marketing、Engineering 三个赛道,每题约一小时。流程是公司将内部业务问题做成真实工作任务,候选人用 Codex 等 AI 工具完成,NeoWork 平台评估交付物和过程录像,重点观察人类判断力,比如发现 AI 错误、行动前核实信息。总冠军 samshanmukh 得分 97/100,主办方还将在 11 月走进 UC Berkeley 和 Stanford 举办校园场。

Original · Dify

Amazing energy in the room. Glad to be part of it! 🙌 Emergences Labs @EmergencesLabs “The coding interview is dead!” We have turned the idea by @felixrieseberg at @AnthropicAI into a huge AI-Native Talent Hunt at SF Tech Week. Don’t interview people about the work. Watch them do the work. We believe hiring needs a better signal than LeetCode: Proof of Work with your PROCESS, a new credential in the AI era. We made it happen with early believers in changing how AI-native talent is assessed and hired. Thank you to our amazing co-host @Tiny_Fish , agent partner @OpenAI Codex, and hiring partners @GenDigitalInc , @ZingageAI , @Gruve_ai , @cresta , @CreaoAI , @SmithfieldFoods , @dify_ai , @OpusClip , and @openart_ai . Together with the enthusiasm of our candidates, we got: • 1,600+ signups • 300+ attendees • 200+ submissions • 10,000+ minutes working videos How it works: 1. Companies turn internal business problems into real work sample tasks on NeoWork ( neo-work.ai ). 2. Candidates tackle them on NeoHuman ( neo-human.ai ) using Codex and other AI tools. 3. NeoWork evaluates the deliverable and recorded process. We highlight moments that reveal human judgment: catching an AI mistake, checking a claim before acting, or changing an approach that isn’t working. 4. Hiring managers review the work, our assessment, and supporting evidence to decide whom to interview or hire. We grouped the 10 companies' works into 3 tracks: Product, Marketing, and Engineering. Each work was designed for about an hour. Examples include: @GenDigitalInc : design a browser agent’s action pipeline that resists prompt injection. @CreaoAI : turn design guidelines into enforceable rules and prove they catch real UI issues. @cresta : build a support agent that follows policy and knows when to escalate. @openart_ai : select consistent memories for an AI director. @dify_ai : decide whether a support AI is ready to ship, backed by evidence. Congratulations to our overall winners! 🥇 @samshanmukh : 97/100 🥈 Rohan R: 89/100 🥉 Shivam Mahajan: 87/100 And our track winners: Product: Marcus Wong Marketing: @AndrewDrok Engineering: Akshat Patel We know today’s job market is tough, even for people already in work: - Juniors need experience to get experience. - Career changers have skills their old titles don’t show. - Laid-off professionals have to prove themselves all over again. - Employed professionals must adapt to AI while keeping up with today’s workload. That’s why we’ll keep hosting AI-Native Talent Hunts, with campus events at @UCBerkeley and @Stanford this November. Follow our events calenda lnkd.in/gzjNWahB FAW) for your next chance to show what you can do. 🔗 View Quoted Tweet 💬 1 🔄 0 ❤️ 1 👀 949 📊 1 ⚡