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After hands-on testing Dot, I finally got OpenAI's DevDay play — Dot vs Muse

灵姐说AI | Ling Talk AI@aihublab

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实测Dot后，我才看懂OpenAI这次DevDay的布局 ｜ Dot vs Muse

First-hand Chinese-language hands-on (Ling Talk AI / 灵姐说AI, 8.2K views, Sep 30): the creator tested her own Dot end-to-end — account connection, email delegation, voice interaction, and a complex task — then ran the same questions against Meta Muse for a direct comparison. Real findings: the Dot still lags, voice interaction and confirmation flows need polish, but its ability to handle complex tasks reframed how she reads the whole DevDay launch. She also sketches a practical workflow connecting Dot + ChatGPT + cloud environment + GitHub + Feishu. No sponsored tags detected.

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Dot migrated blog posts and caught the risk he missed

Dot migrated blog posts and caught the risk he missed

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Dot monitors YouTube, downloads new videos, returns Korean translation + 2 dubbed versions

Dot monitors YouTube, downloads new videos, returns Korean translation + 2 dubbed versions

Dot 대략 사용법 (이번 openai dev)때 예시로 이번에 그록봇으로 썼던 내용 공유 드리자면 유튜브에 영상 뜨면 그거 체크해서 ,다운 받은뒤 ,한글번역본 , 더빙판 2개 만들어서 나에게 반환해 (gemini api키 선 제출) 하트비트로 확인하고 , 완료되면 종료해 -결과물는 클라우드 컴퓨터 에서 작업하고 사용자에게 줍니다
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getting my finances in check with dots, an always on agent in chatgpt

getting my finances in check with dots, an always on agent in chatgpt

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@averiebishop