Observation
- computing cost is decreasing exponentially
- teaching more low-level intelligence from induce incentive requires more computing
- low level (transformer) for high incentive structure (intelligence)
- unlike human, machine has different time budget
- some abilities emerge with scale
- Emergent ability this idea doesn't work yet
- 진짜 잘되는 건 처음부터 잘 안된다
- for such scalability and generalization, time and computing required
Approach
- make learn them how we think
- matmul + length + dimension
- superintelligence를 위해서는 human method를 꼭 따라갈 필요는 없다 (loss 0)
- learning objective and reasoning from induced incentive
- larning something general for milons of real world task
Seeking Your Guidance: Career Advice for Pursuing Opportunities at OpenAI
Dear Hyung Won Chung,
I hope this message finds you well. I'm Seonglae Cho and I had the pleasure of attending the LLM talk at Yonsei University on 11/23.
As someone preparing to pursue jobs in AI companies, I am reaching out with the hope of seeking career advice. Currently, my goal is to secure a position at OpenAI, and to achieve this, I am actively engaged in job hunting. I am presently in the midst of the coding test process with Anthropic.
I would greatly appreciate any guidance you might offer to help me focus or provide directional comments towards joining OpenAI. While I am currently focusing more on engineering, my future goal is to contribute to research about superintelligence. I have also attached my resume to provide further background information about myself.
Your time in reading this message amid your busy schedule is sincerely appreciated. Additionally, I wanted to express my gratitude for sharing your insights during yesterday's lecture; your firsthand experiences from the industry were invaluable.
Best regards,
Seonglae Cho
핵심을 보고 부수적인 걸 신경쓰지 읺고 경험으로 확신을 가지기