스탠포드가 가르치는 AI시대 창의력 훈련법 | 스탠포드 교수 제레미 어틀리(Jeremy Utley)
내가 AI 활용에 관해 생각하고 있는 관점과 매우 일치했던 영상.
Human-AI Collaboration 관점에서
비전문가도 AI를 최대한 생산성 있게 활용할 수 있도록 하는 것이 궁극적인 연구 목표인데
팀원이냐 도구냐, AI가 질문을 하도록 만드는 것 등에 대한 생각이 일치해서 참고가 많이 되었다.
you can use AI to use AI
AI strangely can teach you how to use itself.
it's all because of AI's ability to evaluate its own work.
What I've seen is non-technical employees are able to do incredible things.
one of the things I say is you should focus on parts of your work that you dread, parts of your work that you don't enjoy, that you think, shoud I have to do this again. -> 하기 싫고 반복적인 일을 AI가 대신할 수 있도록
이를 통해 생산성을 크게 향상 시킬 수 있음
what we found is surprisingly AI didn't help most people be more creative.
we studied the under-performers and then we studied the out-performers. And what we found is the outperformers had a fundamentally different orientation towards AI than the underperformers did.
Whereas the underperformers treated AI like a tool, the outperformers treated AI like a teammate.
저성과자와 고성과자를 비교한 결과 고성과자는 AI를 팀메이트처럼 대했음
If it's a tool, you get a mediocre result and then maybe you improve it or maybe you say, "Ah, it's no good at doing that." If it's a teammate who's given you a mediocre result, think about the last teammate who gave you work product that wasn't sufficient. You gave them feedback, you gave them coaching, you gave them mentorship, you helped them improve it. And so what we found is the people who treat AI like a teammate, coach it and give it feedback and importantly get it to ask them questions. The fundamental orientation a lot of people take towards AI is I'm the question asker. AI is the answer giver. But if you think about AI like a teammate, you say, "Hey, what are 10 questions I should ask about this?" Or, "What do you need to know from me in order to get the best response?"
AI를 팀메이트처럼 인식한다는 것은 단순히 사람처럼, 인격체처럼 대한다기보다는,
결과에 대해 피드백을 주고, 양질의 인풋을 주고, 프롬프팅을 디테일하게 던지고, 질문을 유도하는 것으로 볼 수 있다.
검색창으로 쓰기보다는, 아이디어를 발산하고 정리하는 툴로 쓰는 것이 효과적.
보이스를 기반으로 하면 타이핑을 기반으로 할때보다 처음 프롬프트를 입력하는 부담이 낮아지고, 자유로운 표현을 사용할 수 있게 됨.
What is the inspiration you're bringing to the model?
And what do I bring to the model? Certainly, I bring technique, but I also bring my experience. I bring my perspective. I bring all the inspiration I've gleaned from the world.
"Creativity is doing more than the first thing you think of."
Herbert Simon called it satisficing. But it's the idea that if we get to good enough, it's enough.
The reality is with AI, it's now easier than ever to get good enough. If your goal is world class, if your goal is exceptional, then what you want to be prompting for is actually volume and variation.
I don't I don't use AI, I work with it.
AI를 사용했을때 어느정도 만족스러운 수준에 빠르게 도달하기는 훨씬 쉬워졌다.
AI를 단순히 사용하기 보다는 AI와 잘 협업해야 한다.
‘나는 왜 AI를 써도 좋은 보고서가 안 나올까?’ (김덕중 Firb AI연구소장)
Maskara.ai
AI가 질문하게 하라는 팁을 활용할 수 있게 해주는 프롬프트 엔지니어링 툴
NotebookLM
https://notebooklm.google.com/?original_referer=https:%2F%2Fwww.google.com%23&pli=1
자료를 넣으면 학습가이드, Q&A, 요약, 팟캐스트를 생성해주는 AI
양질의 링크 또는 자료를 넣고 분석하기 유용한 툴.
