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We journey together through the captivating realms of entrepreneurship, investment, life, and technology. This is my chronicle of exploration, where I capture and share the lessons that shape our world. Join us and let's never stop learning!

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OpenAI ์˜์žฅ ๊ทธ๋ ‰ ๋ธŒ๋ก๋งŒ์ด ํŠธ์œ„ํ„ฐ์— ์ด๋Ÿฐ ๋ง์„ ๋‚จ๊ฒผ๋„ค์š”. "์ผ๋ถ€ ์˜ˆ์™ธ๋ฅผ ์ œ์™ธํ•˜๋ฉด, AI์˜ ๊ฐ€์žฅ ํฐ ์˜ํ–ฅ๋ ฅ์€ ์†Œํ”„ํŠธ์›จ์–ด์™€ ๋จธ์‹ ๋Ÿฌ๋‹ ๋ชจ๋‘์— ์ „๋ฌธ๊ฐ€์ธ ์‚ฌ๋žŒ๋“ค๋กœ๋ถ€ํ„ฐ ๋‚˜์˜ต๋‹ˆ๋‹ค. ๋Œ€๋ถ€๋ถ„์˜ ์‚ฌ๋žŒ๋“ค์€ ๊ทธ ๋ฐ˜๋Œ€๋ฅผ ์˜ˆ์ƒํ•˜์ง€๋งŒ, ์ผ๋ฐ˜์ ์œผ๋กœ ์†Œํ”„ํŠธ์›จ์–ด๋ณด๋‹ค ๋จธ์‹ ๋Ÿฌ๋‹์„ ํ•™์Šตํ•˜๋Š” ๊ฒƒ์ด ํ›จ์”ฌ ๋น ๋ฆ…๋‹ˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋›ฐ์–ด๋‚œ ์†Œํ”„ํŠธ์›จ์–ด ์—”์ง€๋‹ˆ์–ด๋Š” AI ๋ถ„์•ผ์—์„œ ๋” ํฐ ์ž ์žฌ๋ ฅ์„ ๋ฐœํœ˜ํ•˜๋Š” ๊ฒฝํ–ฅ์ด ์žˆ์Šต๋‹ˆ๋‹ค." ๋ธŒ๋ก๋งŒ์˜ ๊ฒฝ์šฐ ์›๋ž˜๋ถ€ํ„ฐ ์ธ๊ณต์ง€๋Šฅ ์—ฐ๊ตฌ์ž๊ฐ€ ์•„๋‹Œ ์†Œํ”„ํŠธ์›จ์–ด ์ชฝ์—์„œ ์ธ๊ณต์ง€๋Šฅ ์ชฝ์œผ๋กœ ์™”๊ธฐ ๋•Œ๋ฌธ์— ๊ทธ๋ ‡๊ฒŒ ๋А๋‚€๋‹ค ์‹ถ๋„ค์š”. https://twitter.com/gdb/status/1692699977628242279 ๊ทธ๋ ˆ๊ทธ๊ฐ€ AI๋ฅผ ๊ณต๋ถ€ํ•˜๋Š” ๋ฐฉ๋ฒ•์— ๋Œ€ํ•ด์„œ ์ด์•ผ๊ธฐํ•œ ๋ธ”๋กœ๊ทธ: https://blog.gregbrockman.com/its-time-to-become-an-ml-engineer https://blog.gregbrockman.com/how-i-became-a-machine-learning-practitioner

https://10point.cmail19.com/t/d-l-vjhullk-iuhthuudhd-yh/ SpaceX๋Š” 1๋ถ„๊ธฐ์— ์†Œํญ์˜ ์ˆ˜์ต์„ ์˜ฌ๋ ธ์Šต๋‹ˆ๋‹ค. WSJ์ด ์ž…์ˆ˜ํ•œ ๋ฌธ์„œ์— ๋”ฐ๋ฅด๋ฉด, ์—˜๋ก  ๋จธ์Šคํฌ์˜ ๋น„์ƒ์žฅ ๋กœ์ผ“ ํšŒ์‚ฌ๋Š” 15์–ต ๋‹ฌ๋Ÿฌ์˜ ๋งค์ถœ์— 5,500๋งŒ ๋‹ฌ๋Ÿฌ์˜ ์ˆ˜์ต์„ ์˜ฌ๋ ธ์œผ๋ฉฐ, ์ด๋Š” ํšŒ์‚ฌ์˜ ์žฌ๋ฌด ์ƒํ™ฉ์„ ์—ฟ๋ณผ ์ˆ˜ ์žˆ๋Š” ๋“œ๋ฌธ ์ˆ˜์น˜์ž…๋‹ˆ๋‹ค. ์•„์ง ๊ฒ€์ฆ๋˜์ง€ ์•Š์€ ๊ธฐ์ˆ ์ ์œผ๋กœ ๊นŒ๋‹ค๋กœ์šด ๋กœ์ผ“์— ๋ˆ์„ ์Ÿ์•„๋ถ“๊ณ  ์žˆ๋Š” SpaceX์˜ ์†์‹ค์€ 2๋…„ ๋™์•ˆ ์ค„์–ด๋“ค๊ณ  ์žˆ์ง€๋งŒ ์—ฌ์ „ํžˆ ์ƒ๋‹นํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด ๊ฐ™์€ ๊ฒฐ๊ณผ๋Š” ํŒฐ์ปจ ๋กœ์ผ“์˜ ๊ฐ€๊ฒฉ ์ธ์ƒ๊ณผ ๊ฒฝ์Ÿ์‚ฌ์˜ ์‹ ์ฐจ ์ถœ์‹œ ์ง€์—ฐ์ด ์˜ํ–ฅ์„ ๋ฏธ์ณค์„ ๊ฐ€๋Šฅ์„ฑ์ด ๋†’์Šต๋‹ˆ๋‹ค.

์ง€๋‚œํ•ด ์ธ๋„ ์—ฌ์„ฑ์˜ ๋…ธ๋™๋ ฅ ๋น„์ค‘์€ 24%๋กœ 2018๋…„์˜ 21%๋ณด๋‹ค ์ฆ๊ฐ€ํ–ˆ์ง€๋งŒ, ์‚ฌ์šฐ๋””์•„๋ผ๋น„์•„์— ์ด์–ด ์„ธ๊ณ„ 12๋ฒˆ์งธ๋กœ ๋‚ฎ์€ ์ˆ˜์น˜์ž…๋‹ˆ๋‹ค. ๊ฒฝ์ œํ•™์ž๋“ค์€ ๋‘ ๊ฐ€์ง€ ์ฃผ์š” ์š”์ธ, ์ฆ‰ ์ผ์ž๋ฆฌ ์ฐฝ์ถœ์ด ๋ฏธ์•ฝํ•˜์—ฌ ์ผ์ž๋ฆฌ๋ฅผ ์ฐจ์ง€ํ•˜๊ธฐ ์œ„ํ•œ ๊ฒฝ์Ÿ์ด
์ง€๋‚œํ•ด ์ธ๋„ ์—ฌ์„ฑ์˜ ๋…ธ๋™๋ ฅ ๋น„์ค‘์€ 24%๋กœ 2018๋…„์˜ 21%๋ณด๋‹ค ์ฆ๊ฐ€ํ–ˆ์ง€๋งŒ, ์‚ฌ์šฐ๋””์•„๋ผ๋น„์•„์— ์ด์–ด ์„ธ๊ณ„ 12๋ฒˆ์งธ๋กœ ๋‚ฎ์€ ์ˆ˜์น˜์ž…๋‹ˆ๋‹ค. ๊ฒฝ์ œํ•™์ž๋“ค์€ ๋‘ ๊ฐ€์ง€ ์ฃผ์š” ์š”์ธ, ์ฆ‰ ์ผ์ž๋ฆฌ ์ฐฝ์ถœ์ด ๋ฏธ์•ฝํ•˜์—ฌ ์ผ์ž๋ฆฌ๋ฅผ ์ฐจ์ง€ํ•˜๊ธฐ ์œ„ํ•œ ๊ฒฝ์Ÿ์ด ์น˜์—ดํ•˜๊ณ  ์—ฌ์„ฑ์˜ ์—ญํ• ์„ ๊ฐ€์ •์—์„œ ๊ฐ•์กฐํ•˜๋Š” ๋งค์šฐ ๋ณด์ˆ˜์ ์ธ ๋ฌธํ™”๊ฐ€ ๊ทธ ์›์ธ์œผ๋กœ ๊ผฝ์Šต๋‹ˆ๋‹ค. ๋” ๋งŽ์€ ์—ฌ์„ฑ์„ ๋…ธ๋™๋ ฅ์œผ๋กœ ๋Œ์–ด๋“ค์ด์ง€ ๋ชปํ•˜๋ฉด ์„œ๊ตฌ ๊ธฐ์—…๋“ค์ด ์ œ์กฐ์—…์—์„œ ์ค‘๊ตญ์„ ๋Œ€์ฒดํ•  ์ˆ˜ ์žˆ๋Š” ๋Œ€์•ˆ์„ ๋ชจ์ƒ‰ํ•˜๋Š” ๊ฐ€์šด๋ฐ ์ธ๋„์˜ ์ Š์€ ์ธ๊ตฌ ํ†ต๊ณ„๋ฅผ ํ™œ์šฉํ•˜๋ ค๋Š” ๊ณ„ํš์ด ๋ณต์žกํ•ด์ง‘๋‹ˆ๋‹ค.

ํˆฌ์ž์ž๋“ค์€ ์ค‘๊ตญ์— '๋ฆฌ๋จผ ์‚ฌํƒœ'๊ฐ€ ๋‹ฅ์น ๊นŒ ์šฐ๋ คํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. 2022๋…„ ๋ง 1,080์–ต ๋‹ฌ๋Ÿฌ๋ฅผ ๊ด€๋ฆฌํ•˜๋˜ ๋‚œํ•ดํ•œ ๊ธˆ์œต ์ƒํ’ˆ ํŒ๋งค์—…์ฒด๊ฐ€ ์ตœ๊ทผ ํฌ์œ„๋œ ๋ถ€๋™์‚ฐ ๋ถ€๋ฌธ์—์„œ ๊ธˆ์œต ์ „์—ผ๋ณ‘์ด ํ™•์‚ฐ๋  ์ˆ˜ ์žˆ๋‹ค๋Š” ์šฐ๋ ค๋ฅผ ๋ถˆ๋Ÿฌ์ผ์œผ์ผฐ์Šต๋‹ˆ๋‹ค. ๋งŽ์€ ๊ฐœ๋ฐœ์ž์—๊ฒŒ ์ž๊ธˆ์„ ์ œ๊ณตํ•œ ์ค‘๋ฃฝ์ด ๊ด€๋ฆฌํ•˜๋Š” 4๊ฐœ์˜ ์‹ ํƒ ์ƒํ’ˆ์ด ์ตœ๊ทผ ์ค‘๊ตญ ์ƒ์žฅ ๊ธฐ์—… 3๊ณณ์— 1,400๋งŒ ๋‹ฌ๋Ÿฌ๋ฅผ ์ง€๊ธ‰ํ•˜์ง€ ๋ชปํ–ˆ์Šต๋‹ˆ๋‹ค. ์†Œ์…œ ๋ฏธ๋””์–ด์—์„œ ์ผ๋ถ€ ๊ฐœ์ธ ํˆฌ์ž์ž๋“ค์€ ์ค‘๋ฃฝ์ด๋‚˜ ์ค‘๋ฃฝ์˜ ๊ฑฐ๋Œ€ ๋ชจ๊ธฐ์—…์ธ ์ค‘์ฆˆ ์—”ํ„ฐํ”„๋ผ์ด์ฆˆ ๊ทธ๋ฃน์˜ ๋‹ค๋ฅธ ๋ถ€์„œ์—์„œ ์ œ๊ณตํ•œ ์ƒํ’ˆ์—์„œ ์•ฝ์†๋œ ์ง€๊ธ‰๊ธˆ์„ ๋ฐ›์ง€ ๋ชปํ–ˆ๋‹ค๊ณ  ๋งํ•˜๋ฉฐ ๋‹น๊ตญ์— ์‹ ๊ณ ํ–ˆ์Šต๋‹ˆ๋‹ค. ๋‘ ํšŒ์‚ฌ ๋ชจ๋‘ ์ด๋Ÿฌํ•œ ์˜ํ˜น์— ๋Œ€ํ•ด ๊ณต๊ฐœ์ ์œผ๋กœ ๋Œ€์‘ํ•˜์ง€ ์•Š์•˜์œผ๋ฉฐ, ๋…ผํ‰ ์š”์ฒญ์—๋„ ์‘๋‹ตํ•˜์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค. ๊ธธ๊ฑฐ๋ฆฌ์—์„œ ๋“ค์€ ์ด์•ผ๊ธฐ: ์ค‘๊ตญ์— ๋Œ€ํ•œ ์–ด๋‘์šด ์ „๋ง์€ ์œ„์•ˆํ™” ์•ฝ์„ธ๋ฅผ ์˜๋ฏธํ•  ์ˆ˜ ์žˆ์ง€๋งŒ, ๊ธ‰๋ฝ์„ ๊ธฐ๋Œ€ํ•˜์ง€๋Š” ๋งˆ์„ธ์š”. (์ฝ๊ธฐ) https://www.wsj.com/finance/currencies/get-ready-for-a-weaker-yuan-50dfb196

<ํˆฌ์ž์˜ ๋‹ฌ์ธ์ด๊ธฐ ์ด์ „์— ์žฅ์‚ฌ์˜ ๋‹ฌ์ธ์ด์—ˆ๋˜ ์›Œ๋Ÿฐ ๋ฒ„ํ•> 1. โ€˜์˜ค๋งˆํ•˜์˜ ํ˜„์ธ' ์›Œ๋Ÿฐ ๋ฒ„ํ•์€ ์—ญ์‚ฌ์ƒ ๊ฐ€์žฅ ์„ฑ๊ณต์ ์ธ ํˆฌ์ž์ž ์ค‘ ํ•œ ๋ช…์ž…๋‹ˆ๋‹ค. 2. (์›Œ๋Ÿฐ ๋ฒ„ํ•์€) 2022๋…„ 3์›” ๊ธฐ์ค€, ๋ธ”๋ฃธ๋ฒ„๊ทธ ์„ธ๊ณ„ ์ตœ๊ณ  ๋ถ€ํ˜ธ ์ˆœ์œ„์—์„œ 5์œ„๋ฅผ ์ฐจ์ง€ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๋ถ€ํ˜ธ ์ˆœ์œ„๋ฅผ ์ญ‰ ๋ณด๋ฉด, ์ผ๋ก  ๋จธ์Šคํฌ, ์ œํ”„ ๋ฒ ์กฐ์Šค, ๋นŒ ๊ฒŒ์ด์ธ  ๋“ฑ ์ง์ ‘ ์ฐฝ์—…์„ ํ•˜์—ฌ ํฐ ๋ถ€๋ฅผ ์ด๋ฃฌ ์‚ฌ๋žŒ๋“ค์ด ๋Œ€๋ถ€๋ถ„์ธ๋ฐ, ๋ฒ„ํ•์ด ํˆฌ์ž ์‹ค๋ ฅ์„ ๋ฐ”ํƒ•์œผ๋กœ ๊ทธ ์ž๋ฆฌ๊นŒ์ง€ ์˜ฌ๋ž๋‹ค๋Š” ์‚ฌ์‹ค์ด ๋†€๋ž์Šต๋‹ˆ๋‹ค. 3. 1930๋…„ ๋„ค๋ธŒ๋ผ์Šค์นด์ฃผ ์˜ค๋งˆํ•˜์—์„œ ํƒœ์–ด๋‚œ ๊ทธ๋Š” ํŽœ์‹ค๋ฒ ์ด๋‹ˆ์•„๋Œ€ํ•™๊ต ์™€ํŠผ ์Šค์ฟจ์„ ๊ฑฐ์ณ ์ปฌ๋Ÿผ๋น„์•„๋Œ€ํ•™์›์—์„œ ๋ฒค์ €๋ฏผ ๊ทธ๋ ˆ์ด์—„์œผ๋กœ๋ถ€ํ„ฐ ํˆฌ์ž๋ฅผ ๋ฐฐ์› ์Šต๋‹ˆ๋‹ค. 4. 1953๋…„ ๊ทธ๋ ˆ์ด์—„์˜ ํšŒ์‚ฌ โ€˜๊ทธ๋ ˆ์ด์—„-๋‰ด๋จผ ์ฝ”ํผ๋ ˆ์ด์…˜'์— ํ•ฉ๋ฅ˜ํ–ˆ๋‹ค๊ฐ€ 1956๋…„ ํšŒ์‚ฌ์˜ ์ฒญ์‚ฐ๊ณผ ํ•จ๊ป˜ ๋ณธ์ธ์˜ ํŽ€๋“œ๋ฅผ ์‹œ์ž‘ํ–ˆ์Šต๋‹ˆ๋‹ค. โ€˜๋ฒ„ํ• ํŒŒํŠธ๋„ˆ์‹ญ'์œผ๋กœ ๋ถˆ๋ฆฐ ์ด ํŽ€๋“œ๋Š” 13๋…„๊ฐ„ ์—ฐํ‰๊ท  29.5%๋ผ๋Š” ์—„์ฒญ๋‚œ ์„ฑ๊ณผ๋ฅผ ๋ƒˆ์Šต๋‹ˆ๋‹ค. 5. (์ดํ›„) 1969๋…„ ํŽ€๋“œ๋ฅผ ์ฒญ์‚ฐํ•˜๋ฉด์„œ ํŽ€๋“œ์˜ ์ฃผ์š” ์žฌ์‚ฐ์ด๋˜ โ€˜๋ฒ„ํฌ์…” ํ•ด์„œ์›จ์ด'๋ฅผ ํ˜„๋ฌผ๋กœ ์ธ์ˆ˜, ๊ฐœ์ธ ์ตœ๋Œ€์ฃผ์ฃผ ์ž๋ฆฌ์— ์˜ฌ๋ž์Šต๋‹ˆ๋‹ค. (๊ทธ๋ฆฌ๊ณ ) ๋ฒ„ํ•์ด ํšŒ์‚ฌ๋ฅผ ์ง€๋ฐฐํ•˜๊ธฐ ์‹œ์ž‘ํ•œ 1965๋…„๋ถ€ํ„ฐ 2021๋…„๊นŒ์ง€ ๋ฒ„ํฌ์…” ํ•ด์„œ์›จ์ด์˜ ์ฃผ์‹ ์—ฐํ‰๊ท  ์ˆ˜์ต๋ฅ ์€ 20.1%๋กœ, S&P500์˜ 10.5% ๋Œ€๋น„ 9.6%p ์ดˆ๊ณผ์ˆ˜์ต์„ ๋ƒˆ์Šต๋‹ˆ๋‹ค. 6. 1965๋…„ S&P500์— 1๋‹ฌ๋Ÿฌ๋ฅผ ํˆฌ์žํ–ˆ๋‹ค๋ฉด 2021๋…„๋ง 302๋‹ฌ๋Ÿฌ๊ฐ€ ๋ฉ๋‹ˆ๋‹ค. (๊ทธ๋Ÿฐ๋ฐ) ๊ฐ™์€ ๊ธฐ๊ฐ„ ๋ฒ„ํฌ์…” ํ•ด์„œ์›จ์ด์— ํˆฌ์žํ•œ 1๋‹ฌ๋Ÿฌ๋Š” 3๋งŒ 6416๋‹ฌ๋Ÿฌ ๋ฉ๋‹ˆ๋‹ค. 7. ์›Œ๋Ÿฐ ๋ฒ„ํ•์€ ํ›Œ๋ฅญํ•œ ํˆฌ์ž์ž๋กœ์„œ ์„ฑ๊ณต์„ ๊ฑฐ๋‘์—ˆ์„ ๋ฟ ์•„๋‹ˆ๋ผ, ์ด ์‚ฌํšŒ๊ฐ€ ๊ฑด๊ฐ•ํ•˜๊ฒŒ ์œ ์ง€๋  ์ˆ˜ ์žˆ๋„๋ก ํ—Œ์‹ ํ•ด์™”์Šต๋‹ˆ๋‹ค. 1973๋…„ โ€˜์˜ค๋งˆํ•˜ ์„ '์˜ ๋Œ€์ฃผ์ฃผ๋กœ์„œ ์ง€์—ญ ๊ณต์ต ๋‹จ์ฒด์˜ ๋น„๋ฆฌ๋ฅผ ํŒŒํ—ค์ณ ํ“ฐ๋ฆฌ์ฒ˜์ƒ์„ ์ˆ˜์ƒํ•œ ๋ฐ” ์žˆ์Šต๋‹ˆ๋‹ค. 8. ๋ฒ„ํ•์€ 11์‚ด ๋•Œ ์ฒ˜์Œ์œผ๋กœ ์ฃผ์‹์„ ๋งค์ˆ˜ํ•˜๋ฉด์„œ ํˆฌ์ž์ž์˜ ๊ธธ๋กœ ๋“ค์–ด์„ฐ์Šต๋‹ˆ๋‹ค. 13์‚ด์— ์ฒ˜์Œ์œผ๋กœ ์„ธ๊ธˆ ์‹ ๊ณ ๋ฅผ ํ–ˆ์Šต๋‹ˆ๋‹ค. 9. (๊ทธ๋Ÿฐ๋ฐ) ๋ฒ„ํ•์€ 6์‚ด ๋•Œ๋ถ€ํ„ฐ ๊ปŒ์„ ํŒ”์•„์„œ ๋ˆ์„ ๋ฒŒ์—ˆ์Šต๋‹ˆ๋‹ค. 9์‚ด ๋•Œ์—๋Š” ์ฝ”์นด์ฝœ๋ผ๋ฅผ ํŒ”์•˜๊ณ , ์‹ ๋ฌธ๋ฐฐ๋‹ฌ์„ ํ•˜๊ณ , ์žก์ง€๋„ ํŒ”์•˜์Šต๋‹ˆ๋‹ค. ์ค‘๊ณ  ๊ณจํ”„๊ณต๋„ ํŒ”๊ณ , ๋ฏธ์‹์ถ•๊ตฌ ๊ฒฝ๊ธฐ์žฅ์—์„œ ๋•…์ฝฉ๊ณผ ํŒ์ฝ˜๋„ ํŒ”์•˜์Šต๋‹ˆ๋‹ค. 10. 10์‚ด ๋•Œ <1000๋‹ฌ๋Ÿฌ๋ฅผ ๋ฒ„๋Š” 1000๊ฐ€์ง€ ๋ฐฉ๋ฒ•>์ด๋ผ๋Š” ์ฑ…์„ ์ฝ๊ณ  ๋ณต๋ฆฌ์˜ ๋งˆ์ˆ ์„ ๊นจ๋‹ฌ์€ ์›Œ๋Ÿฐ ๋ฒ„ํ•์€, 35์‚ด์— ๋ฐฑ๋งŒ์žฅ์ž๊ฐ€ ๋  ๊ฑฐ๋ผ๊ณ  ์„ ์–ธํ–ˆ์Šต๋‹ˆ๋‹ค. 11. ์ด๋“ฌํ•ด ๊ทธ๋Š” ์‹ค์ œ๋กœ ์ฃผ์‹์„ ๋งค์ˆ˜ํ•จ์œผ๋กœ์จ ๋ณต๋ฆฌ ์„ฑ์žฅ์˜ ์ฒซ๊ฑธ์„ ๋—์Šต๋‹ˆ๋‹ค. 17์‚ด์—๋Š” ํšŒ์‚ฌ๋ฅผ ์„ค๋ฆฝํ•˜๊ณ  ํ•€๋ณผ ๊ธฐ๊ณ„๋ฅผ ์„ค์น˜ํ•˜์—ฌ ์šด์˜ํ•˜๋Š” ์‚ฌ์—…์„ ํ–ˆ์Šต๋‹ˆ๋‹ค. (์ฆ‰) ๋ฒ„ํ•์€ 10๋Œ€ ๋•Œ ์ด๋ฏธ ํˆฌ์ž์™€ ์‚ฌ์—…์„ ๋ณ‘ํ–‰ํ•˜๋ฉฐ ๋ˆ์„ ๋ชจ์œผ๊ณ  ๊ฒฝํ—˜์„ ์Œ“์•˜์Šต๋‹ˆ๋‹ค. 12. (๊ทธ๋ ‡๊ฒŒ) ๋ฒ„ํ•์€ 20์‚ด์ด ๋˜๋˜ 1950๋…„์— ์ด๋ฏธ 1๋งŒ ๋‹ฌ๋Ÿฌ๊ฐ€๋Ÿ‰์„ ์ €์ถ•ํ–ˆ๊ณ , 30์‚ด์ธ 1960๋…„์— ์žฌ์‚ฐ 100๋งŒ ๋‹ฌ๋Ÿฌ๋ฅผ ๋ชจ์•„์„œ 11์‚ด ๋•Œ์˜ ์„ ์–ธ์„ 5๋…„ ์ดˆ๊ณผ ๋‹ฌ์„ฑํ–ˆ๊ณ , 35์‚ด์ด ๋œ 1965๋…„์—๋Š” 3700๋งŒ ๋‹ฌ๋Ÿฌ๋ฅผ ์†Œ์œ ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋•Œ ์ด๋ฏธ ๋ฏธ๊ตญ ๋‚ด ์ตœ๊ณ  ๋ถ€์ž์˜ ๋ฐ˜์—ด์— ์˜ฌ๋ผ์„ฐ์ง€์š”. 13. (์ •๋ฆฌํ•˜๋ฉด) ๋ฒ„ํ•์€ ์œ ๋…„๊ธฐ์— ๋ˆ„๊ตฌ๋ณด๋‹ค ๋นจ๋ฆฌ ๋ˆ๊ณผ ์‚ฌ์—…์— ๋ˆˆ์„ ๋– ์„œ ์žฌ์‚ฐ์„ ๋ชจ์œผ๊ธฐ ์‹œ์ž‘ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ฒญ๋…„๊ธฐ์—๋Š” ํŽ€๋“œ๋งค๋‹ˆ์ €๋กœ์„œ ๋ง‰๋Œ€ํ•œ ์žฌ์‚ฐ์„ ๊ธ์–ด๋ชจ์•˜์Šต๋‹ˆ๋‹ค. ์žฅ๋…„๊ธฐ ์ดํ›„์—๋Š” ์ง€์ฃผํšŒ์‚ฌ์˜ ๊ฒฝ์˜์ž๋กœ์„œ ์ผ๋ฐ˜์ ์ธ ํŽ€๋“œ๋งค๋‹ˆ์ €๊ฐ€ ์“ธ ์ˆ˜ ์—†๋Š” ๋ฐฉ๋ฒ•์œผ๋กœ ํฐ๋ˆ์„ ๋” ํฌ๊ฒŒ ๋ถˆ๋ ค๊ฐ”์Šต๋‹ˆ๋‹ค. - ํ™์ง„์ฑ„, <๊ฑฐ์ธ์˜ ์–ด๊นจ 1> ์ค‘

ํ•œ ๋‹ฌ ๊ฐ€๊นŒ์ด Llama2 70B H100/A100์—์„œ ์ƒ์งœ๋กœ ๋Œ๋ ค๋ณด๊ณ  ํŒŒ์ธ ํŠœ๋‹๋„ ํ•ด๋ณด๊ณ  ์–‘์žํ™”๋„ ํ•ด๋ณด๊ณ  ๋งฅ์—์„œ ๋Œ๋ ค๋ณด๊ณ  ๋“ฑ๋“ฑ๋“ฑ ๊ฐ–๊ณ  ๋…ผ ๊ฒฐ๊ณผ ์š”์•ฝ. ํ† ํฌ๋‚˜์ด์ €๊ฐ€ ํ•œ๊ตญ์–ด๋ฅผ ์ข€ ๋งŽ์ด ๊นจ๋จน๋Š” ์‹์œผ๋กœ ํ•œ๊ตญ์–ด๋ฅผ ์ •์˜ํ•˜๊ณ  ์žˆ์–ด์„œ ํŒŒ์ธํŠœ๋‹์œผ๋กœ ํ•œ๊ตญ์–ด ์„ฑ๋Šฅ์„ ๋Œ์–ด ์˜ฌ๋ฆด ์ˆ˜ ์žˆ๋Š” ๋ฒ”์œ„ ํ•œ๊ณ„๊ฐ€ ๋ช…ํ™•ํ•จ. ์˜์™ธ๋กœ ํ›ˆ๋ จ ๋ฐ์ดํ„ฐ๊ฐ€ ์ถฉ๋ถ„์น˜ ์•Š์€๊ฑฐ ๊ฐ™๋‹ค๋Š” ์ƒ๊ฐ์ด ๋“ฆ. (repetitive output์„ ๋งŒ๋“ค์–ด๋‚ด๊ธฐ๊ฐ€ ์‰ฌ์›€.) 12B์™€ 70B๋Š” ํ•˜๋Š˜๊ณผ ๋•… ์ฐจ์ด์ž„. (34B ๋‚ด๋†“์•„๋ผ~) Falcon 40B์™€ ์ผ๋Œ€์ผ ๋น„๊ต๋ฅผ ํ•˜๋ฉด ๋А๋‚Œ์ด ๊ผญ ChatGPT 3.5/4 ๋น„๊ตํ•˜๋Š” ๊ธฐ๋ถ„์ด ๋‚จ. (์ฒœ์ƒ ๋ง๊ณ  ์ง€์ƒ์—์„œ.) ๋™์‹œ์— ์˜์–ด๊ถŒ์—์„  ์ด์ •๋„๋ฉด ChatGPT 3.5์— ๊ธฐ๋ถ„์ƒ ๋น„๋ฒผ๋ณผ๋งŒํ•˜์ง€ ์•Š๋‚˜? ํ•˜๋Š” ์ƒ๊ฐ๋„ ๋“ ๋‹ค. https://ksc23.talkativot.com ์— KSC 2023 ๊ธฐ๊ฐ„๋™์•ˆ ์˜คํ”ˆํ•ด ๋†“๋Š” ์ค‘. ์–‘์žํ™” ์•ˆํ•œ Llama 70B-chat ๋ฐ ๋ž˜๋ธ”์—…, ์—…์Šคํ…Œ์ด์ง€ ํŒŒ์ธํŠ  ๋ชจ๋ธ๋“ค์„ ์˜ฌ๋ ค ๋†“์•˜์œผ๋‹ˆ ์ง์ ‘ ๊ฐ€์ง€๊ณ  ๋†€์•„๋ณด์…”๋„ ๋ฉ๋‹ˆ๋‹ค.

You might also see a lot of chat aggregators with their own UX.

"What would someone need a personal computer for?" -> "What would someone need a personal LLM node for?"

Humans should focus on bigger problems. Human history is a story of capabilities and tools. New capabilities are rare. They're often discovered rather than invented. In the early ages, we got fire. In the 1800s, we got electricity. In the 1900s, we got computing. And in the 2000s, we are getting artificial intelligence. Tools are invented. They operate on a shorter timescale. They are how humans interact with our capabilities. They are about details and craft and enjoyment for their user, as well as expansion and nurturement and real-world applicability of their underlying capability. Tool builders take a capability and turn it into something useful and enjoyable to make the world better. We are tool builders. We're taking AI, and we're turning it into something useful and enjoyable to make the world better. Concretely, we're building Cursor. It's our attempt at a new way to write code. We're early, so don't expect too much. But it's the start of something that we think will both radically increase productivity and be immensely enjoyable to use. If we succeed, it will mean the reallocation of human intelligence toward greater and greater problems. We're excited. If you're excited too, please reach out to us at hiring@anysphere.co or read more about what we're looking for here. โ€” Aman, Sualeh, Michael, Arvid, and the entire (tiny) Anysphere team ์ธ๊ฐ„์€ ๋” ํฐ ๋ฌธ์ œ์— ์ง‘์ค‘ํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ์ธ๋ฅ˜์˜ ์—ญ์‚ฌ๋Š” ๋Šฅ๋ ฅ๊ณผ ๋„๊ตฌ์˜ ์ด์•ผ๊ธฐ์ž…๋‹ˆ๋‹ค. ์ƒˆ๋กœ์šด ๋Šฅ๋ ฅ์€ ๋“œ๋ญ…๋‹ˆ๋‹ค. ๋ฐœ๋ช…๋˜๊ธฐ๋ณด๋‹ค๋Š” ๋ฐœ๊ฒฌ๋˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ๋งŽ์Šต๋‹ˆ๋‹ค. ์ดˆ๊ธฐ์—๋Š” ๋ถˆ์„ ๋ฐœ๊ฒฌํ–ˆ์Šต๋‹ˆ๋‹ค. 1800๋…„๋Œ€์—๋Š” ์ „๊ธฐ๊ฐ€ ์ƒ๊ฒผ์Šต๋‹ˆ๋‹ค. 1900๋…„๋Œ€์—๋Š” ์ปดํ“จํ„ฐ๊ฐ€ ๋“ฑ์žฅํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  2000๋…„๋Œ€์—๋Š” ์ธ๊ณต ์ง€๋Šฅ์ด ๋“ฑ์žฅํ–ˆ์Šต๋‹ˆ๋‹ค. ๋„๊ตฌ๊ฐ€ ๋ฐœ๋ช…๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๋„๊ตฌ๋Š” ๋” ์งง์€ ์‹œ๊ฐ„ ๋‚ด์— ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค. ๋„๊ตฌ๋Š” ์ธ๊ฐ„์ด ์šฐ๋ฆฌ์˜ ๋Šฅ๋ ฅ๊ณผ ์ƒํ˜ธ์ž‘์šฉํ•˜๋Š” ๋ฐฉ์‹์ž…๋‹ˆ๋‹ค. ๋„๊ตฌ๋Š” ์‚ฌ์šฉ์ž๋ฅผ ์œ„ํ•œ ๋””ํ…Œ์ผ๊ณผ ๊ธฐ์ˆ , ์ฆ๊ฑฐ์›€๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๊ธฐ๋ณธ ๋Šฅ๋ ฅ์˜ ํ™•์žฅ ๋ฐ ์œก์„ฑ, ์‹ค์ œ ์ ์šฉ ๊ฐ€๋Šฅ์„ฑ๊นŒ์ง€ ๊ณ ๋ คํ•ฉ๋‹ˆ๋‹ค. ํˆด ๋นŒ๋”๋Š” ํ•˜๋‚˜์˜ ๊ธฐ๋Šฅ์„ ๋” ๋‚˜์€ ์„ธ์ƒ์„ ๋งŒ๋“œ๋Š” ๋ฐ ์œ ์šฉํ•˜๊ณ  ์ฆ๊ฑฐ์šด ๊ฒƒ์œผ๋กœ ์ „ํ™˜ํ•ฉ๋‹ˆ๋‹ค. ์šฐ๋ฆฌ๋Š” ํˆด ๋นŒ๋”์ž…๋‹ˆ๋‹ค. ์šฐ๋ฆฌ๋Š” AI๋ฅผ ๋” ๋‚˜์€ ์„ธ์ƒ์„ ๋งŒ๋“ค๊ธฐ ์œ„ํ•ด ์œ ์šฉํ•˜๊ณ  ์ฆ๊ฑฐ์šด ๊ฒƒ์œผ๋กœ ๋ฐ”๊พธ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๊ตฌ์ฒด์ ์œผ๋กœ๋Š” ์ปค์„œ๋ฅผ ๋งŒ๋“ค๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ƒˆ๋กœ์šด ์ฝ”๋“œ ์ž‘์„ฑ ๋ฐฉ์‹์„ ์‹œ๋„ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์•„์ง ์ดˆ๊ธฐ ๋‹จ๊ณ„์ด๋ฏ€๋กœ ๋„ˆ๋ฌด ํฐ ๊ธฐ๋Œ€๋Š” ํ•˜์ง€ ๋งˆ์„ธ์š”. ํ•˜์ง€๋งŒ ์ƒ์‚ฐ์„ฑ์„ ํš๊ธฐ์ ์œผ๋กœ ๋†’์ด๊ณ  ์‚ฌ์šฉํ•˜๊ธฐ ๋งค์šฐ ์ฆ๊ฑฐ์šธ ๊ฒƒ์œผ๋กœ ์ƒ๊ฐ๋˜๋Š” ๋ฌด์–ธ๊ฐ€์˜ ์‹œ์ž‘์ž…๋‹ˆ๋‹ค. ์ด ์‹œ๋„๊ฐ€ ์„ฑ๊ณตํ•œ๋‹ค๋ฉด ์ธ๊ฐ„์˜ ์ง€๋Šฅ์„ ๋” ํฐ ๋ฌธ์ œ์— ์žฌ๋ถ„๋ฐฐํ•  ์ˆ˜ ์žˆ๊ฒŒ ๋  ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ €ํฌ๋Š” ํฅ๋ถ„๋ฉ๋‹ˆ๋‹ค. ์—ฌ๋Ÿฌ๋ถ„๋„ ๊ธฐ๋Œ€๊ฐ€ ๋˜์‹ ๋‹ค๋ฉด hiring@anysphere.co ์œผ๋กœ ๋ฌธ์˜ํ•˜์‹œ๊ฑฐ๋‚˜ ์—ฌ๊ธฐ์—์„œ ์ €ํฌ๊ฐ€ ์ฐพ๊ณ  ์žˆ๋Š” ๊ฒƒ์— ๋Œ€ํ•ด ์ž์„ธํžˆ ์ฝ์–ด๋ณด์„ธ์š”. https://www.cursor.so/ MIT ํ•™์ƒ 4๋ช…์ด ๋งŒ๋“ค๊ณ  ์žˆ๋Š” AI based IDE(Copilot๊ณผ ๊ฒฝ์Ÿํ•˜๋Š” ํฌ์ง€์…˜)

NYT์˜ ์นผ๋Ÿผ๋‹ˆ์ŠคํŠธ ๋ฐ์ด๋น— ๋ธŒ๋ฃฉ์Šค์˜ ์ด๋ฒˆ ์ฃผ ์ฃผ๋งํŒ ์นผ๋Ÿผ์€ ํฅ๋ฏธ๋กญ๊ณ ๋„ ์˜๋ฏธ์‹ฌ์žฅํ•œ ์ฃผ์ œ๋ฅผ ๋‹ค๋ฃจ๊ณ  ์žˆ๋‹ค. ๋ฏธ๊ตญ์˜ ์ Š์€์ด๋“ค์ด ์ ์  ๋” ๊ฒฐํ˜ผ์„ ์•ˆ ํ•˜๊ณ  ๋”ฐ๋ผ์„œ ์ถœ์ƒ๋ฅ ๋„ ์ €ํ•˜๋˜๋Š” ๊ฒƒ์ด ๋ฏธ๊ตญ์—์„œ๋„ ์šฐ๋ ค๋˜๋Š” ํ˜„์ƒ์ธ ๊ฐ€ ๋ณด๋‹ค. ๋ฒ„์ง€๋‹ˆ์•„ ๋Œ€ ๋ธŒ๋ž˜๋“œ ์œŒ์ฝ•์Šค๊ต์ˆ˜์˜ ์กฐ์‚ฌ ์ž๋ฃŒ์— ์˜ํ•˜๋ฉด 18~40์„ธ์˜ ์„ฑ์ธ ์ค‘ 75%๊ฐ€ ๋ถ€์ž๋กœ ์—ฌ์œ  ์žˆ๊ฒŒ ์‚ฌ๋Š” ๊ฒƒ์ด ์ธ์ƒ์—์„œ ๊ฐ€์žฅ ์ค‘์š”ํ•˜๋‹ค๊ณ  ๋‹ตํ–ˆ๋‹ค๊ณ  ํ•œ๋‹ค. ๊ฒฐํ˜ผ์ด ์ค‘์š”ํ•˜๋‹ค๊ณ  ํ•œ ์‚ฌ๋žŒ์€ 32% ๋ฟ. ๋ถ€๋ชจ๋“ค๋„ ๋งˆ์ฐฌ๊ฐ€์ง€๋‹ค. ํ“จ ๋ฆฌ์„œ์น˜ ์„ผํ„ฐ์˜ ์กฐ์‚ฌ์— ์˜ํ•˜๋ฉด 88%์˜ ๋ถ€๋ชจ๊ฐ€ ์ž๊ธฐ ์•„์ด๋“ค์ด ์žฌ์ •์ ์œผ๋กœ ๋…๋ฆฝํ•˜๋Š” ๊ฒƒ์ด ์ธ์ƒ์—์„œ ๊ฐ€์žฅ ์ค‘์š”ํ•œ ์ผ์ด๋ผ๊ณ  ํ–ˆ๋‹ค. ๊ฒฐํ˜ผ์ด ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค๊ณ  ์ƒ๊ฐํ•˜๋Š” ๋ถ€๋ชจ๋Š” 21% ๋ฟ์ด์—ˆ๋‹ค. 2006๋…„์—๋Š” 50%์˜ ์ Š์€์ด๋“ค์ด ๊ฒฐํ˜ผ์ด ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค๊ณ  ๋‹ตํ–ˆ๋Š”๋ฐ, 2020๋…„์—๋Š” 29%๋งŒ์ด ๊ทธ๋ ‡๋‹ค๊ณ  ๋Œ€๋‹ตํ–ˆ๋‹ค. ์‚ฌํšŒํ•™์ž ์•ค๋“œ๋ฃจ ์…œ๋ฆฐ์˜ ์šฉ์–ด๋ฅผ ๋นŒ๋ฆฌ์ž๋ฉด ๊ทธ๋“ค์€ ๊ฒฐํ˜ผ์„ ๋” ์ด์ƒ ์ฃผ์ถง๋Œ(corner stone)๋กœ ๋ณด๋Š” ๊ฒƒ์ด ์•„๋‹ˆ๋ผ ๊ฑด๋ฌผ ๊ผญ๋Œ€๊ธฐ๋ฅผ ์žฅ์‹ํ•˜๋Š” ๊ฐ“๋Œ(capstone)๋กœ ๋ณด๋Š” ๊ฒƒ์ด๋‹ค. ๋‹ค์‹œ ๋งํ•˜๋ฉด ์„ฑ๊ณต์ ์œผ๋กœ ์ปค๋ฆฌ์–ด๋ฅผ ๋‹ค ์Œ“์€ ๋’ค ๋งˆ์ง€๋ง‰์— ๋ง๋ถ™์ด๋Š” ํ™”๋ คํ•œ ์žฅ์‹์ด๋ผ๋Š” ๊ฑฐ๋‹ค. ์ด๋Ÿฐ ํƒœ๋„ ๋•Œ๋ฌธ์— ๋ฏธ๊ตญ์˜ ๊ฒฐํ˜ผ๋ฅ ์€ ๊ธ‰๊ฒฉํžˆ ๋–จ์–ด์ง€๊ณ  ์žˆ๋‹ค. 1980๋…„์—๋Š” 40๋Œ€์˜ 6%๋งŒ์ด ํ•œ ๋ฒˆ๋„ ๊ฒฐํ˜ผ์„ ์•ˆ ํ–ˆ๋Š”๋ฐ, 2021๋…„์—๋Š” 40๋Œ€์˜ ๋ฌด๋ ค 25%๊ฐ€ ํ•œ ๋ฒˆ๋„ ๊ฒฐํ˜ผ์„ ํ•˜์ง€ ์•Š์€ ์ƒํƒœ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์‹œ์นด๊ณ ๋Œ€ ๊ฒฝ์ œํ•™๊ณผ ๊ต์ˆ˜ ์ƒ˜ ํŽ ์ธ ๋จผ์€ ์ง€๋‚œ ๋‹ฌ ๋ฐœํ‘œํ•œ ์—ฐ๊ตฌ ๋…ผ๋ฌธ์—์„œ ๊ฒฐํ˜ผ์ด โ€˜ํ–‰๋ณตํ•œ ์‚ฌ๋žŒ๊ณผ ๋ถˆํ–‰ํ•œ ์‚ฌ๋žŒโ€™์„ ๊ฒฐ์ •ํ•ด ์ฃผ๋Š” ๊ฐ€์žฅ ์ค‘์š”ํ•œ ๊ตฌ๋ณ„์š”์†Œ(differentiator)๋ผ๊ณ  ํ–ˆ๋‹ค. ์ž์‹ ์˜ ์ธ์ƒ์— ๋งŒ์กฑํ•˜๋‹ค๊ณ  ๋‹ตํ•œ ์‚ฌ๋žŒ ์ค‘ ๊ฒฐํ˜ผํ•œ ์‚ฌ๋žŒ์ด ๊ฒฐํ˜ผํ•˜์ง€ ์•Š์€ ์‚ฌ๋žŒ๋ณด๋‹ค 30% ๋” ๋งŽ์•˜๋‹ค๋Š” ๊ฒƒ์ด๋‹ค. ์†Œ๋“์ด ํ–‰๋ณต์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ธฐ๋Š” ํ•˜์ง€๋งŒ ๊ทธ๋ ‡๊ฒŒ ์ค‘์š”ํ•˜์ง€๋Š” ์•Š๋‹ค๊ณ ๋„ ํ–ˆ๋‹ค. ์œŒ์ฝ•์Šค๋„ ๊ณง ๋ฐœ๊ฐ„๋  โ€˜๊ฒฐํ˜ผํ•˜๋ผโ€™๋Š” ์ œ๋ชฉ์˜ ์ฑ…์—์„œ ๊ฒฐํ˜ผ์˜ ํ€„๋ฆฌํ‹ฐ๊ฐ€ ์ธ์ƒ ๋งŒ์กฑ์˜ ๊ฐ€์žฅ ์ค‘์š”ํ•œ ์ง€ํ‘œ๋ผ๊ณ  ๋งํ–ˆ๋‹ค. ์›๋งŒํ•œ ๊ฒฐํ˜ผ ์ƒํ™œ์„ ํ•˜๋Š” ์‚ฌ๋žŒ๋“ค์ด โ€˜๋งค์šฐ ํ–‰๋ณตํ•˜๋‹คโ€™๋ผ๊ณ  ๋‹ตํ•œ ๋น„์œจ์€ ๊ฒฐํ˜ผํ•˜์ง€ ์•Š์•˜๊ฑฐ๋‚˜ ๋ถˆํ–‰ํ•œ ๊ฒฐํ˜ผ ์ƒํ™œ์„ ํ•˜๋Š” ์‚ฌ๋žŒ๋“ค์— ๋น„ํ•ด 545%๋‚˜ ๋†’์•˜๋‹ค๊ณ  ํ•œ๋‹ค. ๊ทธ๋Š” ์ด์–ด์„œ โ€œ์ธ์ƒ์˜ ํ–‰๋ณต์„ ํฌ๊ด„์ ์œผ๋กœ ์‚ดํŽด ๋ณผ ๋•Œ ๋‹น์‹ ์ด ์–ผ๋งˆ๋‚˜ ๊ต์œก์„ ๋งŽ์ด ๋ฐ›์•˜๋Š”์ง€, ์–ผ๋งˆ๋‚˜ ๋ˆ์„ ๋งŽ์ด ๋ฒ„๋Š”์ง€, ์–ผ๋งˆ๋‚˜ ์ž์ฃผ ์„ฑ๊ด€๊ณ„๋ฅผ ๊ฐ–๋Š”์ง€, ๋˜๋Š” ๋‹น์‹  ์ผ์— ์–ผ๋งˆ๋‚˜ ๋งŒ์กฑํ•˜๋Š”์ง€ ๋Š” ํ–‰๋ณต์„ ๊ฒฐ์ •ํ•˜๋Š” ๋ฐ ์ค‘์š”ํ•œ ์š”์†Œ๊ฐ€ ์•„๋‹ˆ๋‹คโ€๋ผ๊ณ  ๋งํ–ˆ๋‹ค. ๊ฒฐ๊ตญ ์ปค๋ฆฌ์–ด๊ฐ€ ์•„๋ฌด๋ฆฌ ํ›Œ๋ฅญํ•ด๋„ ๊ฒฐํ˜ผ ์ƒํ™œ์ด ๋ถˆํ–‰ํ•˜๋ฉด ๊ทธ ์ธ์ƒ์€ ๋ถˆํ–‰ํ•œ ๊ฒƒ์ด๊ณ , ์ปค๋ฆฌ์–ด๊ฐ€ ์‹œ์›์น˜ ์•Š์•„๋„ ๊ฒฐํ˜ผ ์ƒํ™œ์ด ํ–‰๋ณตํ•˜๋ฉด ๊ทธ๊ฑด ํ–‰๋ณตํ•œ ์ธ์ƒ์ด๋‹ค, ๋ผ๊ณ  ๋ฐ์ด๋น— ๋ธŒ๋ฃฉ์Šค๋Š” ๊ฒฐ๋ก ์ง“๋Š”๋‹ค. ํŒ์— ๋ฐ•ํžŒ ์ง„๋ถ€ํ•œ ์ด์•ผ๊ธฐ์ผ์ง€ ๋ชฐ๋ผ๋„ ์ด๊ฑด ์ž๋ช…ํ•œ ์ง„์‹ค์ด๋ผ๋ฉด์„œ. ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ์ถœ์ƒ๋ฅ  ์ €ํ•˜ ๋ฌธ์ œ๋„ ์ด๋Ÿฐ ์‹์˜ ์ ‘๊ทผ์ด ํ•„์š”ํ•˜์ง€ ์•Š์„๊นŒ. ํ•œ๊ตญ์˜ ๋งŽ์€ ๋ถ€๋ชจ๋“ค๋„ ์ž๋…€๋“ค์—๊ฒŒ ๊ฒฐํ˜ผ์€ ์ค‘์š”ํ•˜์ง€ ์•Š์•„, ์ปค๋ฆฌ์–ด๊ฐ€ ๋” ์ค‘์š”ํ•ด, ์ด๋ ‡๊ฒŒ ๋งํ•˜๊ณ  ์žˆ์ง€ ์•Š์€๊ฐ€.

Private Credit Explained In Just 3 Minutes (Cheat Sheet) ๐Ÿคฏ So what is it? Private credit is a type of debt financing provided by non-bank lenders, allowing smaller to mid-sized companies to access funding. It is not traded or issued on public markets and is typically unrated and illiquid. What are the main types of Private Credit strategies? โ€ข Direct lending = loans made directly from lenders to support growth, acquisitions, refinancing โ€ข Venture debt = loans to venture-backed companies by a specialized financier โ€ข Distressed & special situations = Troubled companies at a discount, usually on the secondary market โ€ข Mezzanine = Subordinated between debt and equity usually with embedded equity instruments Who are some of the biggest private credit funds? Ares Management Corporation, Oaktree Capital Management, L.P., The Carlyle Group, Blackstone, Sixth Street, Bain Capital. Why do investors allocate to private credit? โ€ข Income generation โ€ข Resilience โ€ข Reduction in price volatility โ€ข Return enhancement (illiquidity premium) โ€ข Diversification How big is the private credit market? โ€ข The market has surged from around $500 billion in 2015 to approximately $1.5 trillion today. Why has the market got so big? โ€ข Banks pulling back from lending (banking crisis) โ€ข Low rates pushing investors to seek higher yields โ€ข Floating rate nature (direct lending) mitigates risk when rates rise

Bay Area ์— ๊ฑฐ์ฃผํ•˜๋ฉฐ ๊ฐ€์žฅ ๋งŒ์กฑํ•˜๋Š” ๊ฒƒ์€ '๋‹ค๋ฆ„'์„ ์‹ ๊ฒฝ ์“ธ ํ•„์š”๊ฐ€ ์—†๋Š”, ๊ทธ๋ž˜์„œ ๋„ˆ๋ฌด๋‚˜๋„ '๋‹จ์กฐ๋กœ์šด ์‚ถ'์ด๋‹ค. ์˜ท์€ ํŒŒํƒ€๊ณ ๋‹ˆ์•„ 2~3๋ฒŒ, ๋ฃฐ๋ฃจ๋ ˆ๋ชฌ์—์„œ ์‚ฐ ๋ฐ”์ง€ 2~3๊ฐœ, ์˜ฌ๋ฒ„์ฆˆ ์‹ ๋ฐœ 1~2๊ฐœ๋ฉด ์ถฉ๋ถ„ํ•˜๋‹ค. ํŽธํ•˜๊ณ , ๊ธฐ๋Šฅ์ ์ด๊ณ , ๋ฌด์—‡๋ณด๋‹ค ๋‹ค๋“ค ๊ทธ๋ ‡๊ฒŒ ์ž…๊ธฐ์— ์–ด๋–ค ์ƒํ™ฉ์—์„œ๋“  ์œ ์‚ฌ ๋ณต์žฅ์„ ์ฐฉ์šฉํ•ด๋„ ๋œ๋‹ค (IR ํ•  ๋•Œ์—๋„, ์œ ์ €๋ฅผ ๋งŒ๋‚  ๋•Œ์—๋„, ํŒ€๊ณผ ๋ฏธํŒ…์„ ํ•  ๋•Œ์—๋„, client ๋ฅผ ๋งŒ๋‚  ๋•Œ์—๋„, ๋ฐœํ‘œ๋ฅผ ํ•  ๋•Œ์—๋„ ๋ง์ด๋‹ค) ์ฐจ๋„ ์ „ ์„ธ๊ณ„์—์„œ ํ‰๊ท  ์†Œ๋“ ๋Œ€๋น„ ๊ฐ€์žฅ ๊ธฐ๋Šฅ์ ์ธ ์„ ํƒ์„ ํ•˜๋Š” ์ง€์—ญ์ด์ง€ ์•Š์„๊นŒ ์‹ถ๋‹ค. ์‚ฌ๋žŒ์„ ๋งŒ๋‚˜ ๋Œ€ํ™”ํ•˜๋Š” ๊ณต๊ฐ„๋„ ์„ ํƒ์ง€๊ฐ€ ๋‹จ์กฐ๋กญ๋‹ค. ์ฃผ๋ณ€์— ๋ญ ๋จน๊ณ  ๋งˆ์‹ค๋•Œ๊ฐ€ ๋งŽ์ง€ ์•Š๊ธฐ๋„ ํ•˜๋‹ค. ๊ทธ๋ž˜์„œ, ํšŒ์‚ฌ ๋‚ด ์นดํŽ˜ (Ringle ์ด ์œ„์น˜ํ•œ wework ๋‚ด ๊ณต๊ฐ„) ๋˜๋Š” ๋ธ”๋ฃจ๋ณดํ‹€, ํ•„์ฆˆ์ปคํ”ผ, ์Šคํƒ€๋ฒ…์Šค, ์ฟ ํŒŒ์นดํŽ˜ ๋“ฑ ์ด์šฉํ•œ๋‹ค. ์–ด๋””์„œ ์–ด๋–ป๊ฒŒ ๋งŒ๋‚ ์ง€ ๊ณ ๋ฏผ์„ ๋œ ํ•˜๋Š” ๊ฒƒ ๊ฐ™๋‹ค. (๊ฐœ์ธ์ ์œผ๋กœ๋Š” ์Šคํƒ ํฌ๋“œ ๋‚ด GSB ๋‚˜ Green Library์— ์žˆ๋Š” ์ฟ ํŒŒ์—์„œ ์ด์•ผ๊ธฐ ํ•  ๋•Œ๊ฐ€ ๊ฐ€์žฅ ์ข‹๋‹ค) ๊ทธ๋ฆฌ๊ณ , ๊ฝค ๋งŽ์€ ์‹œ๊ฐ„์„ ์‚ฌ๋žŒ๊ณผ ๋งŒ๋‚˜ ๋Œ€ํ™”ํ•˜๋Š”๋ฐ ์‚ฌ์šฉํ•˜๋Š”๋ฐ, ๊ทธ ๋Œ€ํ™”์™€ ๊ณ ๋ฏผ์˜ ์ค‘์‹ฌ์€ '๋‚˜' ์™€ '๋„ˆ', ๊ทธ๋ฆฌ๊ณ  '์šฐ๋ฆฌ (๊ฐ€์กฑ์ด ๋  ์ˆ˜๋„, ํŒ€/ํšŒ์‚ฌ๊ฐ€ ๋  ์ˆ˜๋„, ์ง€์—ญ์‚ฌํšŒ๊ฐ€ ๋  ์ˆ˜๋„, ์œ ์ €๊ฐ€ ๋  ์ˆ˜๋„...)'์— ์ง‘์ค‘๋œ ๋“ฏ ํ•˜๋‹ค. ๊ทธ๋ž˜์„œ, ์‚ฌ๋žŒ๋“ค์ด ์–ด๋–ค ๊ณ ๋ฏผ์„ ํ•˜๋Š”์ง€, ์–ด๋–ค unmet needs ๊ฐ€ ์žˆ๋Š”์ง€, ์–ด๋–ค ๋ฌธ์ œ๋“ค์— ๋‘˜๋ ค์Œ“์—ฌ ์‚ด์•„๊ฐ€๋Š”์ง€ ๋“ค์„ ์ˆ˜ ์žˆ๋‹ค. (๋ค์œผ๋กœ Bay Area ์— ์žˆ์œผ๋ฉด, ํ•œ๊ตญ์—์„œ ๋งŽ์€ ๋ถ„๋“ค์ด ์ถœ์žฅ/์—ฌํ–‰์œผ๋กœ ๋ฐฉ๋ฌธํ•˜๊ธฐ์—, ํ•œ๊ตญ์— ์žˆ์„ ๋•Œ ๋Œ€๋น„, ํ•œ๊ตญ์— ๊ฑฐ์ฃผ ์ค‘์ธ ์ง€์ธ/์œ ์ €๋ฅผ ๋” ๋งŽ์ด ๋งŒ๋‚  ์ˆ˜ ์žˆ๋Š” ์•„์ด๋Ÿฌ๋‹ˆํ•จ์ด ์žˆ๋‹ค. ์—ฌ๊ธฐ์— ๋ฐฉ๋ฌธํ•˜๋Š” ๋ถ„๋“ค๊ณผ๋Š” ํ•œ๊ตญ์—์„œ ๋Œ€๋น„ ๋” ์†”์งํ•œ ๋Œ€ํ™”๋ฅผ ๋‚˜๋ˆŒ ์ˆ˜ ์žˆ์–ด ์—ฌ๋Ÿฌ๋ชจ๋กœ ์ข‹๋‹ค) ๊ฐœ์ธ์ ์œผ๋กœ๋Š”, ์ฆ๊ธธ๊ฑฐ๋ฆฌ๊ฐ€ ํ’์„ฑํ•œ ๋„์‹œ์˜ ์‚ถ ๋ณด๋‹ค๋Š”, ์ผ๊ณผ ๊ฐ€์กฑ์— ์ง‘์ค‘ํ•  ์ˆ˜ ์žˆ๋Š” ์‚ถ์„ ์„ ํ˜ธํ•˜๊ธฐ์—, ์œ„์™€ ๊ฐ™์€ ์ด ๊ณณ ๋ถ„์œ„๊ธฐ๊ฐ€ ์ž˜ ๋งž๋Š” ๋“ฏ ํ•˜๋‹ค. ํ˜์‹ ๊ณผ ์ข‹์€ ์ œํ’ˆ์€ '์„ ํƒ๊ณผ ์ง‘์ค‘'์—์„œ ๋‚˜์˜ค๊ณ  '๋‹จ์กฐ๋กœ์›€'์—์„œ ๋‚˜์˜จ๋‹ค๊ณ  ์ƒ๊ฐํ•˜๋Š”๋ฐ, ๊ทธ๋ž˜์„œ ์ด ๊ณณ ์ฃผ๋ณ€์— ์„ธ์ƒ์˜ ์ฃผ๋ชฉ์„ ๋ฐ›๋Š” ๊ธฐ์ˆ ๊ณผ ํšŒ์‚ฌ๋“ค์ด ๋งŽ์ด ๋‚˜์˜ค๋Š” ๊ฒƒ์ด ์•„๋‹๊นŒ ์‹ถ๋‹ค. ๋” ๋งŽ์€ ๋ถ„๋“ค์ด ์ด ๊ณณ์— ์˜ค๋ฉด ์ข‹๊ฒ ๋‹ค.

https://youtu.be/gySlUPJMr40 ์ „ํ†ต์ ์ธ ๊ฒ€์ƒ‰ ์—”์ง„์˜ 3๊ฐ€์ง€ ์—ญํ•  - ๋‚ด๋น„๊ฒŒ์ด์…˜(AI ํ•„์š” ์—†์Œ) - ์ •๋ณด ์ œ๊ณต(๋™์ผ) - ์—ฐ๊ตฌ(์˜ˆ! ์—ฌ๊ธฐ ์—์ด์ „ํŠธ) ํ•˜์ง€๋งŒ ์ œ๋„ˆ๋ ˆ์ดํ‹ฐ๋ธŒ AI์—์„œ ์ƒˆ๋กœ์šด ํ–‰๋™์ด ์ž์—ฐ์Šค๋Ÿฝ๊ฒŒ ๋‚˜์˜จ๋‹ค๋Š” ์ ์ด ๋งˆ์Œ์— ๋“ญ๋‹ˆ๋‹ค(์ œ ํ•ด์„): - ๋Œ€ํ™”/๊ฐ์ • ์ง€์› - ์ด๋ฏธ์ง€/์˜ˆ์ˆ /(์˜ค๋””์˜ค) ์ƒ์„ฑ - ์ฝ”๋“œ/๊ธฐ์ˆ  ์ƒ์„ฑ

was going over this old @yusuf_i_mehdi interview and found this segment interesting. 3 traditional search engine roles: - navigation (no need for AI) - informational (ditto) - research (yes! agents here) but i love that new behaviors naturally emerged from generative AI (my interpretation): - conversation/emotional support - image/art/(audio) generation - code/skill generation I like thinking of AI product opportunities often as unbundling search, but imo the real blue ocean is in doing things we never asked search to do.

My notes from Poor Charlie's Almanack: The Wit and Wisdom of Charlie Munger turned into maxims: 1. Find a simple idea and take it seriously. 2. Good ideas are rare. When you find one bet heavily. 3. Humans have been writing down their best ideas for 5,000 years. Read them. 4. Avoiding stupid mistakes is more important than being smart. 5. Donโ€™t work with anyone you donโ€™t admire. 6. Donโ€™t sell anything you wouldnโ€™t buy. 7. Avoiding a bad habit is easier than breaking a bad habit. 8. Work on your best idea. Don't diversify 9. Incentives rule everything around you. Look for them. 10. Great businesses are built by going ridiculously far in maximizing or minimizing one or a few things. Think Costco. 11. Learning is changing behavior. 12. Do the unpleasant tasks first. 13. Charlie has read hundreds of biographies. Do the same. 14. Stop multitasking. Concentrate. 15. Many hard problems are solved best when approached backwards. 16. Think of ideas as tools. When a better tool comes along use it. 17. Clip your business and personal expenses. Small leaks sink big ships. 18. Make friends with smart dead people. Adam Smith, Darwin, Cicero, Ben Franklin โ€”whoever interests you. Read their writing. Steal their ideas. They donโ€™t need them anymore. 19. Don't confuse intelligence with invincibility. 20. Bad things will happen to you. Itโ€™s inevitable. When they do get up and keep going and remember the next maxim. 21. Self pity has no utility. 22. Find out what you are best at. Then pound away at it. Forever. 23. Only plays games where you have an edge. 24. Avoid mob rule. Avoid demagogues. Avoid dogma. Avoid bureaucracy. 25. Optimize for independence. 25. Use money to buy freedom. 26. Develop durability. 27. What do you have an *intense* interest in? Do that for money. 28. Self improvement has no end.

Thiel suggests that the emphasis on diversity can sometimes distract from more important issues and redirect our attention away from them. The first is the decline of science and technology, which he argues has been stagnant due to the focus on humanities and the lack of questioning in the sciences. Thiel also mentions the distraction from economic issues such as inequality and stagnant economic growth caused by the intense campus and culture wars. He further suggests that diversity serves as a substitute for religion and squeezes out important religious questions. Lastly, Thiel argues that politics itself might be a distraction, and the concept of political correctness could be a way to divert attention from communism and the influence of the CCP. He points out that many fields, such as engineering, were not progressing quickly and had limited opportunities for innovation. Computer science, on the other hand, became a successful field due to its adjacency to the internet and the ability to quickly reach the frontier of innovation. He also argues that diversity and woke ideology may be distracting us from bigger economic issues, such as distortions in real estate that lead to economic injustice. Thiel proposes a Georgist economic analysis, emphasizing the correlation between rising rents and the proliferation of identity politics, suggesting that trillions of dollars may be at stake for urban landlords. success of tech companies, the average person may feel like an insignificant part of a larger machine, leading to frustration. Furthermore, the increasing unaffordability of housing in Silicon Valley contributes to this sentiment. Thiel suggests that the phenomenon of workplace politics may be a distraction or substitute for the original purpose and vision of these tech companies. However, he points out that woke ideology lacks forgiveness and assumes an absolute sense of who the victims are, whereas Christianity recognizes the fallibility of all individuals. Thiel concludes by outlining different responses to grappling with the dark history, including the temptation to dismiss it entirely, the desire to punish those responsible, and the need to find a middle ground.