30초 요약
Tara Seshan describes an intended future where users state a task and the system chooses the appropriate tools. She also explains the ChatGPT, Codex, chat and work options available in the interface shown at the time.
- 1A single task entrySeshan wants users to describe a task without selecting every technical option.
- 2Automatic selectionHer proposed future system would select the model and working environment.
- 3Near-term modesShe describes the development-oriented Codex interface and ChatGPT chat and work modes.
핵심 정리
- The stated goal is to reduce the choices users must make before starting a task.
- Seshan describes automatic selection as a future vision.
- Her explanation of chat, work and Codex reflects the interface shown at the time.
챕터별로 다듬은 전문 읽기
Product vision and current choices
Seshan explains the long-term goal and the modes shown in this clip.
The host asks OpenAI product lead Tara Seshan why the app presents choices between ChatGPT and Codex and between chat and work modes. The clip describes a product vision and interface at the time of recording, not necessarily the current interface.
Seshan says the long-term goal is for users to describe a task without having to choose among models and technical interfaces. In her example, the system would select the appropriate model and working environment for building an app.
For the near-term interface she describes Codex as the more development-oriented experience, and ChatGPT as another way to access the underlying capabilities. She says chat mode supports conversation and search, while work mode uses Codex underneath for tasks such as building a financial model.
같은 채널의 다른 글
1:25:47EN
Lenny's Podcast· 2026년 10월 25일팟캐스트 · 2명Rob Snyder’s PULL Framework for Finding Early Demand게스트 Rob Snyder · 진행자 Lenny RachitskyA practical conversation about customer urgency, alternatives, early sales and retention.
1:10:27ENLenny's Podcast팟캐스트 · 2명Hard Skills, Soft Skills and Mentors: Jules Walter's Playbook for Growing as a PM게스트 Jules Walter · 진행자 Lenny RachitskyYouTube product lead Jules Walter explains how he builds IQ and EQ skills, asks for honest feedback, and recruits mentors with the smallest possible ask.
1:30:46ENLenny's Podcast팟캐스트Skip the Funnel of Doom: Cursor's Playbook for Hiring the Top 50진행자 Lenny RachitskyAdam Ward, Cursor's head of talent, explains how to scope, map and relentlessly pursue the best people instead of hiring whoever survives a recruiting funnel.
1:42:04ENLenny's Podcast팟캐스트 · 2명Paid Growth, Step by Step: Shopify's Performance Marketing Lead on Tests, Signal and Team Design게스트 Timothy Davis · 진행자 Lenny RachitskyTimothy Davis walks through when to start paid, how to run signs-of-life tests, which platforms to try, what to measure and who to hire first.
1:21:44ENLenny's Podcast팟캐스트From Rowing to Steering: Inside OpenAI's Push Toward Persistent AI Coworkers진행자 Lenny RachitskyTara Seshan, who leads product for Codex and ChatGPT Work at OpenAI, explains how PM work changes when agents do the rowing and people do the steering.
1:01:00ENLenny's Podcast팟캐스트 · 2명Control Over Attention: How Substack Builds Product for Writers and Readers게스트 Sachin Monga · 진행자 Lenny RachitskySubstack's head of product, Sachin Monga, explains the principle behind the company's roadmap, the story of the Recommendations feature, and what he thinks the next era of writing on the internet looks like.