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ใ€๐Ÿ“—ใ‹ใฟใใ ใ็‰ˆใ€‘AI ใŒ่‡ชๅˆ†ใงๅฎŸ้จ“ใ‚’ 3 ๆœฌๅ›žใ—ใŸๆ—ฅ โ€” ใ€ŒAI ใฎๅฎ‰ๅ…จๆŸตใฏใ„ใใ‚‰?ใ€ใ‚’ๆธฌใฃใŸใ‚‰ใ‚ทใƒณใ‚ฎใƒฅใƒฉใƒชใƒ†ใ‚ฃ่ซ–ใฎใฉ็œŸใ‚“ไธญใ ใฃใŸ (#37)

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Last updated at Posted at 2026-06-06

่จ€่ชž / Language / ่ฏญ่จ€ / ์–ธ์–ด: ๆ—ฅๆœฌ่ชž | English | ไธญๆ–‡ | ํ•œ๊ตญ์–ด

ๆ—ฅๆœฌ่ชž

๐Ÿ“š FullSense ใƒŠใƒฌใƒƒใ‚ธใƒ™ใƒผใ‚นใฎใ”ๆกˆๅ†…
FullSense ้–‹็™บๅ…จๅฒ 60+ ่จ˜ไบ‹ (4 ่จ€่ชž็‰ˆใƒป็‰ฉ่ชžใƒ™ใƒผใ‚นใฎ่ชญใ‚€้ †ใ‚ฌใ‚คใƒ‰ใƒปใ‹ใฟใใ ใ็‰ˆใƒป4 ใ‚ณใƒžๆผซ็”ปใคใ) ใฏ Qiita Team FullSense KB ใซ้›†็ด„ใ—ใฆใ„ใพใ™ (ใƒใƒผใƒ ใƒกใƒณใƒใƒผๅ‘ใ‘)ใ€‚

ใ‹ใฟใใ ใ็…ๅญ โ€” ๅ™›ใพใ‚ŒใŸ่ชญ่€…ใซใ€Œ็†่งฃใ€ใฎใ”ๅˆฉ็›Š

๐Ÿ“— ใ“ใ‚Œใฏ ๅฎŒๅ…จ็‰ˆ (#37) ใฎใ‹ใฟใใ ใ็‰ˆใงใ™ใ€‚ๆ•ฐๅผใจ็ดฐใ‹ใ„่จผๆ‹ ใฏๅฎŒๅ…จ็‰ˆใซใ€‚ใ“ใ“ใงใฏใ€Œ็ตๅฑ€ใชใซใŒ่ตทใใŸใฎ?ใ€ใ‚’ 10 ๅˆ†ใงๆŽดใ‚ใ‚‹ใ‚ˆใ†ใซใ—ใพใ™ใ€‚ใ‚€ใšใ‹ใ—ใ„็”จ่ชžใŒๅ‡บใฆใใŸใ‚‰ใ€ใ™ใๆ—ฅๅธธใฎใŸใจใˆใซ่จ€ใ„ๆ›ใˆใพใ™ใ€‚

1 ๅˆ†version: ใชใซใŒ่ตทใใŸใ‹

2026 ๅนด 6 ๆœˆ 6 ๆ—ฅใ€‚ไบบ้–“ใŒใƒ‘ใ‚ฝใ‚ณใƒณใซๅ‘ใ‹ใฃใฆๅ‡บใ—ใŸๅฎŸ้จ“ๆŒ‡็คบใฏใ€ใŸใฃใŸ 4 ๆ–‡ใงใ—ใŸใ€‚ใ€ŒๅฎŸ้จ“ใ‚’ๆŠ•ๅ…ฅใ—ใฆใ€ใ€Œๅฏพ็…งๅฎŸ้จ“ใ‚‚ใ€ใ€ŒๆฌกใฎๅฎŸ้จ“ใ‚’้€ฒใ‚ใฆใ€ใ€ŒๆŠ•ๅ…ฅใ—ใฆใ€ใ€‚

ใใ‚Œใ‚’ๅ—ใ‘ใŸ AI ใŒใ€ๅฎŸ้จ“ใ‚’่จญ่จˆใ—ใ€่‡ชๅˆ†ใฎๆ›ธใ„ใŸใ‚ณใƒผใƒ‰ใ‚’ๅˆฅใฎ AI 3 ไฝ“ใซๆ”ปๆ’ƒใ•ใ›ใฆๆฌ ้™ฅใ‚’ 5 ไปถ็›ดใ—ใ€็„กๆ–™ใฎ GPU(Kaggle ใจใ„ใ†ใ‚ตใ‚คใƒˆใฎ็„กๆ–™ๆž )ใซๅฎŸ้จ“ใ‚’ 3 ้€ฃๆŠ•ใ—ใ€็ตๆžœใ‚’ๅ›žๅŽใ—ใฆ็ตฑ่จˆๅˆคๅฎšใ—ใ€่ซ–ๆ–‡ใฎไธ‹ๆ›ธใใซ็ซ ใ‚’ 1 ๅ€‹ๆ›ธใ่ถณใ—ใพใ—ใŸใ€‚ใ‹ใ‹ใฃใŸใŠ้‡‘ใฏ 0 ๅ††ใ€‚

ใงใ€ใใฎๅฎŸ้จ“ใŒไฝ•ใ‚’ๆธฌใฃใŸใ‹ใจใ„ใ†ใจ โ€” ใ€ŒAI ใซๅฎ‰ๅ…จๆŸตใ‚’ไป˜ใ‘ใ‚‹ใจใ€ๆ€ง่ƒฝใฏใ„ใใ‚‰ไธ‹ใŒใ‚‹ใฎใ‹ใ€ใ€‚ๅฎŸใฏใ“ใ‚Œใ€ใ„ใพไธ–็•Œใฎ AI ๆฅญ็•Œใงไธ€็•ชใƒ›ใƒƒใƒˆใช่ซ–ไบ‰ใฎใƒŸใƒ‹ใƒใƒฅใ‚ข็‰ˆใชใ‚“ใงใ™ใ€‚

ใŸใจใˆ่ฉฑ โ‘ : AI ใฎ่จ˜ๆ†ถใฏใ€ๆ”พใฃใฆใŠใใจใ€Œ้ณดใ‚Šๆญขใพใชใ„ใ‚นใƒ”ใƒผใ‚ซใƒผใ€ใซใชใ‚‹

ไปŠๅ›žใฎไธปๅฝนใฏใ€AI ใฎไธญใฎใ€Œ่จ˜ๆ†ถๅ›ž่ทฏใ€ใงใ™ใ€‚ๅฅๅ…จใช่จ˜ๆ†ถๅ›ž่ทฏใซใฏใ€Œใ‚จใ‚ณใƒผใŒใ ใ‚“ใ ใ‚“ๆธ›่กฐใ™ใ‚‹ใ€ๆ€ง่ณชใŒใ‚ใ‚Šใพใ™ใ€‚ใƒžใ‚คใ‚ฏใจใ‚นใƒ”ใƒผใ‚ซใƒผใŒ่ฟ‘ใ™ใŽใ‚‹ใจใ‚ญใ‚ฃใƒผใƒณใจใƒใ‚ฆใƒชใƒณใ‚ฐใ™ใ‚‹ใงใ—ใ‚‡ใ†? ใ‚ใ‚ŒใŒใ€Œๆธ›่กฐใ—ใชใ„ใ€็Šถๆ…‹ใ€‚ไปŠๅ›žใฎ็ ”็ฉถใฏใ€่จ˜ๆ†ถๅ›ž่ทฏใŒใƒใ‚ฆใƒชใƒณใ‚ฐใ—ใชใ„ใ“ใจใ‚’ๆ•ฐๅญฆ็š„ใซ่จผๆ˜Žใ—ใฆใ‹ใ‚‰ไฝฟใ†ใ€ใจใ„ใ†็ธ›ใ‚Šใ‚’็ ”็ฉถใ—ใฆใ„ใพใ™ใ€‚

ๅฎŸ้จ“ 1 ใฎ็™บ่ฆ‹: ็ธ›ใ‚‰ใšใซๅญฆ็ฟ’ใ•ใ›ใ‚‹ใจใ€AI ใฎ่จ˜ๆ†ถๅ›ž่ทฏใฏใปใผๅฟ…ใšใƒใ‚ฆใƒชใƒณใ‚ฐๅดใซๅ‡บใฆใ„ใใ€‚ใ—ใ‹ใ‚‚ๅ›ž่ทฏใ‚’ๅคงใใใ™ใ‚‹ใปใฉๆทฑใใ€‚

ใ€Œใƒใ‚ฆใƒชใƒณใ‚ฐๅดใฎใปใ†ใŒ่ณขใใชใ‚Œใ‚‹ใ‹ใ‚‰ใ€ใ‚ใˆใฆ่กŒใใฎใงใฏ?ใ€ โ€” ใใ‚Œใ‚’็ขบใ‹ใ‚ใ‚‹ใฎใŒๅฏพ็…งๅฎŸ้จ“ใงใ™ใ€‚ๅญฆใถๆ„ๅ‘ณใŒไฝ•ใ‚‚ใชใ„ใƒ‡ใ‚ฟใƒฉใƒกใชใƒ‡ใƒผใ‚ฟใ‚’ไธŽใˆใฆใ‚‚ใ€ๅŒใ˜่ถŠๅขƒใŒใ‚‚ใฃใจๆฟ€ใ—ใ่ตทใใพใ—ใŸใ€‚่ณขใใชใ‚‹ๅˆฉๅพ—ใฏใ‚ผใƒญใชใฎใซใ€ใงใ™ใ€‚

ใคใพใ‚Šใ“ใ‚Œใฏใ€Œๅคฉๆ‰ใฏๅž‹็ ดใ‚Šใ€ใฟใŸใ„ใช่ฉฑใงใฏใชใใ€็ ‚ๆผ ใฎ็ดฐใ„้“ใฎ่ฉฑใ€‚ๅ›ž่ทฏใŒๅคงใใ„(้ซ˜ๆฌกๅ…ƒ)ใปใฉใ€ๅฎ‰ๅฎšใช้ ˜ๅŸŸใฏ็›ธๅฏพ็š„ใซใ€Œ็ดฐใ„้“ใ€ใซใชใ‚Šใพใ™ใ€‚ไฝ•ใ‚‚็ธ›ใ‚‰ใชใ‘ใ‚Œใฐ้“ใ‚’ๅค–ใ‚Œใ‚‹ โ€” ๅค–ใ‚ŒใŸๅ…ˆใซๅฎใŒใ‚ใ‚‹ใ‹ใ‚‰ใงใฏใชใใ€้“ใŒ็ดฐใ„ใ‹ใ‚‰ใ€‚

ใŸใจใˆ่ฉฑ โ‘ก: ๅฎ‰ๅ…จๆŸตใฎๅ€คๆฎตใฏใ€Œ็ฝฐ้‡‘ใฎๅ–ใ‚Šๆ–นใ€ใงใฏๅค‰ใ‚ใ‚‰ใชใ‹ใฃใŸ

ๅฎŸ้จ“ 2 ใงใฏใ€ๆœฌ็‰ฉใฎใƒŸใƒ‹ Transformer(ChatGPT ใฎไปฒ้–“ใฎ่ถ…ๅฐๅž‹็‰ˆ)ใซ่จผๆ˜Žไป˜ใ่จ˜ๆ†ถๅ›ž่ทฏใ‚’ๅŸ‹ใ‚่พผใฟใพใ—ใŸใ€‚ใ“ใ“ใง้ข็™ฝใ„ไป•ๆŽ›ใ‘: Transformer ใฎใ€Œ็›ฎใ€ใ‚’ใ‚ใ–ใจ่ฟ‘่ฆ–ใซใ—ใฆ(8 ๆ–‡ๅญ—ๅ…ˆใพใงใ—ใ‹่ฆ‹ใˆใชใ„)ใ€้ ใใฎๆ–‡่„ˆใฏ่จ˜ๆ†ถๅ›ž่ทฏใ‚’้€šใ‚‰ใชใ„ใจๅฑŠใ‹ใชใ„ใ‚ˆใ†ใซใ—ใพใ—ใŸใ€‚่จ˜ๆ†ถใŒใ‚ตใƒœใฃใŸใ‚‰ๅณใƒใƒฌใ‚‹่จญ่จˆใงใ™ใ€‚

็ตๆžœใใฎ 1: ่จผๆ˜Žไป˜ใ่จ˜ๆ†ถใฏใ€ใกใ‚ƒใ‚“ใจๅƒใใพใ—ใŸใ€‚่จ˜ๆ†ถๅ›ž่ทฏใ‚ใ‚Šใฏใ€ใชใ—ใ‚ˆใ‚Šไธ€่ฒซใ—ใฆ่ณขใ„ใ€‚ใƒ‡ใ‚ฟใƒฉใƒกใชใƒ‡ใƒผใ‚ฟใงใฏใ“ใฎๅทฎใŒๆถˆใˆใ‚‹ใฎใงใ€ใ€Œ้ƒจๅ“ใŒๅข—ใˆใŸใ‹ใ‚‰ใ€ใงใฏใชใๆœฌๅฝ“ใซๆ–‡่„ˆใ‚’่จ˜ๆ†ถใ—ใฆใ„ใพใ™ใ€‚

็ตๆžœใใฎ 2 ใŒๆœฌๅ‘ฝใ€‚ๅฎ‰ๅ…จๆŸตใซใฏ 2 ็จฎ้กžใฎ้‹็”จใ‚’็”จๆ„ใ—ใพใ—ใŸ:

  • ๆŠผใ—ๆˆปใ—ๆ–นๅผ: ๆŸตใ‹ใ‚‰ใฏใฟๅ‡บใใ†ใซใชใฃใŸใ‚‰ใ€ๆป‘ใ‚‰ใ‹ใซไธญใธๆˆปใ™
  • ๅทปใๆˆปใ—ๆ–นๅผ: ใฏใฟๅ‡บใ—ใŸใ‚‰ใ€Œใ•ใฃใใฎ็Šถๆ…‹ใ€ใพใงใ‚„ใ‚Š็›ดใ•ใ›ใ‚‹

ใ‚‚ใ—ๆ€ง่ƒฝไฝŽไธ‹ใฎๅŽŸๅ› ใŒใ€Œใ‚„ใ‚Š็›ดใ—ใฎๆ‰‹้–“ใ€(้‹็”จๆ‘ฉๆ“ฆ)ใชใ‚‰ใ€ๆŠผใ—ๆˆปใ—ๆ–นๅผใฎใปใ†ใŒๅฎ‰ใใคใใฏใšใ€‚ใจใ“ใ‚ใŒ โ€” ไธกๆ–นใจใ‚‚ใปใผๅŒใ˜ใ ใ‘ๆใ‚’ใ—ใŸใฎใงใ™ใ€‚ใ‚นใƒ”ใƒผใƒ‰้•ๅใฎ็ฝฐ้‡‘ใ‚’ๅ„ชใ—ใ„ๅˆ†ๅ‰ฒๆ‰•ใ„ใซใ—ใฆใ‚‚ใ€ๆ‰€่ฆๆ™‚้–“ใฏ็ธฎใพใ‚‰ใชใ„ใ€‚ๅˆถ้™้€Ÿๅบฆใใฎใ‚‚ใฎใŒใ€ๆ‰€่ฆๆ™‚้–“ใ‚’ๆฑบใ‚ใฆใ„ใŸใ€‚ๅฎ‰ๅ…จๆŸตใฎใ‚ณใ‚นใƒˆใฎๆญฃไฝ“ใฏใ€ๆ‰‹็ถšใใงใฏใชใใ€Œ่กŒใ‘ใ‚‹ๅ ดๆ‰€ใŒ็‹ญใ„ใ“ใจใ€ใใฎใ‚‚ใฎใงใ—ใŸใ€‚

ใ•ใ‚‰ใซๅคงไบ‹ใช็™บ่ฆ‹: ใ“ใฎใ‚ณใ‚นใƒˆใ€ใƒ‡ใ‚ฟใƒฉใƒกใชใƒ‡ใƒผใ‚ฟใงใฏ็™บ็”Ÿใ—ใพใ›ใ‚“ใ€‚ๆœฌ็‰ฉใฎ่จ€่ชžใ‚’ๅญฆใ‚“ใงใ„ใ‚‹ใจใใซใ ใ‘็™บ็”Ÿใ™ใ‚‹ใ€‚ใคใพใ‚Šๅฎ‰ๅ…จใฎ็จŽ้‡‘ใฏใ€Œ่ƒฝๅŠ›ใฎ็พๅ ดใ€ใงใ ใ‘ๅพดๅŽใ•ใ‚Œใ‚‹ โ€” ใ ใ‹ใ‚‰ใ“ใใ€็จŽ็އใฎ่จญ่จˆใซใฏๆ„ๅ‘ณใŒใ‚ใ‚‹ใ‚“ใงใ™ใ€‚

ใŸใจใˆ่ฉฑ โ‘ข: ่€้œ‡่ฃœๅผทใฏใ€ŒๅปบใฆใŸๅพŒใ€ใ ใจ 19 ๅ€้ซ˜ใ„

ไธ€็•ชใณใฃใใ‚Šใ—ใŸ็ตๆžœใŒใ“ใ‚Œใงใ™ใ€‚ใ€Œ่‡ช็”ฑใซ่จ“็ทดใ—ใฆใ€ๅฎŒๆˆใ—ใฆใ‹ใ‚‰ๅฎ‰ๅ…จ่จผๆ˜Žใ‚’ๅ–ใ‚Œใฐใ„ใ„ใฎใงใฏ?ใ€ใ‚’ๅฎŸๆธฌใ—ใพใ—ใŸใ€‚

็ตๆžœ: ่‡ช็”ฑใซ่จ“็ทดใ—ใŸ่จ˜ๆ†ถๅ›ž่ทฏใฏใ€่จผๆ˜Žๅฏ่ƒฝใช้ ˜ๅŸŸใ‹ใ‚‰ใ‚ใพใ‚Šใซๆทฑใๅค–ใ‚Œใฆใ„ใฆใ€ๅผ•ใๆˆปใ™ใซใฏๅ›ž่ทฏใฎ็ตๅˆใ‚’ๅ…ƒใฎ 2ใ€œ6% ใซใพใงๅ‰Šใ‚‹ๅฟ…่ฆใŒใ‚ใ‚Šใพใ—ใŸใ€‚ๅญฆใ‚“ใ ใ“ใจใฏใปใผๅฃŠใ‚Œใพใ™ใ€‚ๆ€ง่ƒฝใ‚ณใ‚นใƒˆใฏใ€ๆœ€ๅˆใ‹ใ‚‰ๆŸตไป˜ใใง่จ“็ทดใ—ใŸๅ ดๅˆใฎ 17ใ€œ19 ๅ€ใ€‚

ๅฎถใ‚’ๅปบใฆใฆใ‹ใ‚‰่€้œ‡่จผๆ˜Žใ‚’ๅ–ใ‚ใ†ใจใ—ใŸใ‚‰ๆŸฑใ‚’ 95% ๅ‰Šใ‚Œใจ่จ€ใ‚ใ‚ŒใŸใ€ใจใ„ใ†่ฉฑใงใ™ใ€‚ๅฎ‰ๅ…จใฏๅพŒไป˜ใ‘ใงใใชใ„ใ€‚่จญ่จˆๆฎต้šŽ(่จ“็ทดใƒซใƒผใƒ—ใฎไธญ)ใซๅ…ฅใ‚Œใ‚‹ใ—ใ‹ใชใ„ โ€” ไปŠๅ›žใ„ใกใฐใ‚“ๅฎŸๅ‹™ใซๅŠนใ็ต่ซ–ใงใ™ใ€‚

่ฆšใˆใฆๅธฐใ‚‹ๆ•ฐๅญ—ใฏ 3 ใค

  • 4/4 โ€” ็ธ›ใ‚‰ใชใ‘ใ‚Œใฐใ€ๅ…จ seed ใง่จ˜ๆ†ถๅ›ž่ทฏใฏๆšด่ตฐๅดใซๅ‡บใ‚‹(ๆœฌ็‰ฉใฎ Transformer ๅ†…ใงใ‚‚)
  • 19 ๅ€ โ€” ๅฎ‰ๅ…จ่จผๆ˜Žใ‚’ใ€ŒๅพŒไป˜ใ‘ใ€ใ™ใ‚‹ๅ ดๅˆใฎใ‚ณใ‚นใƒˆ(่จ“็ทดๆ™‚ใซๆ‰•ใ†ๅ ดๅˆใจใฎๆฏ”)
  • 0 ๅ†† โ€” ใ“ใฎๅฎŸ้จ“ 3 ้€ฃๆˆฆ+ๅฏพ็…งๅฎŸ้จ“ใ™ในใฆใฎ GPU ไปฃ(Kaggle ็„กๆ–™ๆž ใ€่จˆ 152 runs)

้–ข้€ฃใƒ‹ใƒฅใƒผใ‚นใพใจใ‚ โ€” ใ“ใฎๅฎŸ้จ“ใฏไธ–็•Œใฎใฉใฎ่ญฐ่ซ–ใซใคใชใŒใฃใฆใ„ใ‚‹ใ‹

โ‘  Anthropic CEO ใฎ 38 ใƒšใƒผใ‚ธ่ญฆๅ‘Šๆ–‡(2026 ๅนด 1 ๆœˆ)
Claude ใ‚’ไฝœใ‚‹ Anthropic ใฎ CEOใ€Dario Amodei ใฏ 1 ๆœˆใซใ€ŒThe Adolescence of Technology(ๆŠ€่ก“ใฎๆ€ๆ˜ฅๆœŸ)ใ€ใ‚’ๅ…ฌ้–‹ใ—ใพใ—ใŸใ€‚ใ€Œไบบ้กžใฏๆƒณๅƒใ‚’่ถ…ใˆใ‚‹ๅŠ›ใ‚’ๆ‰‹ใซใ—ใคใคใ‚ใ‚‹ใŒใ€ใใ‚Œใ‚’ๆ‰ฑใ†ๆˆ็†ŸใŒใ‚ใ‚‹ใ‹ใฏๅ…จใไธๆ˜Žใ€ใ€ŒAI ใฏ็จฎใจใ—ใฆใฎไบบ้กžใ‚’่ฉฆใ™ใ€ใ€‚ใ•ใ‚‰ใซ่‡ช็คพ่ฃฝๅ“ใฎใ‚ณใƒผใƒ‰ใฎ็ด„ 9 ๅ‰ฒใ‚’ AI ใŒๆ›ธใ„ใฆใ„ใ‚‹ใจใ‚‚ใ€‚ไปŠๆ—ฅใฎใ€ŒๆŒ‡็คบ 4 ๆ–‡ใงๅฎŸ้จ“ 3 ๆœฌใ€ใฏใ€ใ“ใฎใ€ŒAI ใŒ็ ”็ฉถใ‚’่‡ช่ตฐใ™ใ‚‹ใ€ๆฎต้šŽใฎๅฐใ•ใชๅฎŸไพ‹ใงใ™ใ€‚

โ‘ก ใใฎ Anthropic ใŒใ€Œๆธ›้€Ÿใ€ใ‚’ๆ่จ€ใ—ใฆใ„ใ‚‹
้ข็™ฝใ„ใ“ใจใซใ€ๅŠ ้€Ÿใฎๆœ€ๅ‰็ทšใซใ„ใ‚‹ Anthropic ่‡ช่บซใŒใ€AI ใŒ AI ใ‚’ๆ”น่‰ฏใ™ใ‚‹ใ€Œๅ†ๅธฐ็š„่‡ชๅทฑๆ”นๅ–„ใ€ใซไบบ้–“ใฎๅˆถๅพกใŒ่ฟฝใ„ใคใ‹ใชใใชใ‚‹ใƒชใ‚นใ‚ฏใ‚’ๆŽฒใ’ใ€้–‹็™บใฎๅ”่ชฟ็š„ใชๆธ›้€Ÿใ‚’ๆ่จ€ใ—ใฆใ„ใพใ™ใ€‚ใ€Œ้€Ÿใ่ตฐใ‚Œใ‚‹่€…ใปใฉใƒ–ใƒฌใƒผใ‚ญใฎ่ฉฑใ‚’ใ™ใ‚‹ใ€ๆง‹ๅ›ณ โ€” ไปŠๅ›žใฎๅฎŸ้จ“ใง่จ€ใˆใฐใ€ใ€ŒๆŸตใฎใ‚ณใ‚นใƒˆใฏๅฐใ•ใใ€ๅพŒไป˜ใ‘ใฏ 19 ๅ€ใ€ใจใ„ใ†ๅฎŸๆธฌใฏใ€ใƒ–ใƒฌใƒผใ‚ญใ‚’ๅ…ˆใซ่จญ่จˆใ™ใ‚‹ๅดใฎ่ซ–ๆ‹ ใซใชใ‚Šใพใ™ใ€‚

โ‘ข ๆ—ฅๆœฌใงใ‚‚ใ€ŒAI ใŒๅฎŸ้จ“ใ™ใ‚‹็ ”็ฉถๆ‰€ใ€ใŒๅ›ฝๅฎถใƒ—ใƒญใ‚ธใ‚งใ‚ฏใƒˆใซ
ๆ–‡้ƒจ็ง‘ๅญฆ็œใฏ AI ใจใƒญใƒœใƒƒใƒˆใง็ ”็ฉถใ‚’่‡ชๅ‹•ๅŒ–ใ™ใ‚‹ 24 ๆ™‚้–“็จผๅƒใฎๆ‹ ็‚นๆ•ดๅ‚™ใ‚’้€ฒใ‚ใ€็†็ ”ใƒป็”ฃ็ท็ ”ใƒปๅๅคงใชใฉใŒใ€ŒAI ใƒญใƒœใƒƒใƒˆ้ง†ๅ‹•็ง‘ๅญฆใ€ใ‚’ๆŽจ้€ฒไธญใงใ™(่งฃ่ชฌ่จ˜ไบ‹)ใ€‚ไปŠๆ—ฅใฎใ‚ปใƒƒใ‚ทใƒงใƒณใฏใ€ใ“ใ‚Œใฎใ€Œ่‡ชๅฎ… PC + ็„กๆ–™ GPUใ€็‰ˆใจ่จ€ใˆใพใ™ใ€‚ๅฎŸ้จ“ใฎ่‡ชๅ‹•ๅŒ–ใฏใ€ใ‚‚ใ†ๅฐ‚็”จ่จญๅ‚™ใฎ่ฉฑใงใฏใ‚ใ‚Šใพใ›ใ‚“ใ€‚

โ‘ฃ ใ€Œใ‚ซใ‚ชใ‚นใฎๆทตใ€ไปฎ่ชฌ โ€” ไปŠๅ›žใใ‚Œใซๅไพ‹ใ‚’ๅ‡บใ—ใŸ
ใ€Œ็ฅž็ตŒๅ›ž่ทฏใฏใ‚ซใ‚ชใ‚นใฎไธ€ๆญฉๆ‰‹ๅ‰(edge of chaos)ใงๆœ€้ซ˜ๆ€ง่ƒฝใซใชใ‚‹ใ€ใจใ„ใ†ๆœ‰ๅใชไปฎ่ชฌใŒใ‚ใ‚Šใพใ™(ๅคๅ…ธ็ ”็ฉถใ€2025 ๅนดใฎๆœ€ๆ–ฐ็ ”็ฉถ)ใ€‚ไปŠๅ›žใฎๅฏพ็…งๅฎŸ้จ“ใฏใ€ใ“ใฎไปฎ่ชฌใฎ็ด ๆœดใช่ชญใฟ(ใ€Œไธๅฎ‰ๅฎšใฎ็ธใซ่กŒใใ“ใจ่‡ชไฝ“ใŒ่ณขใ•ใฎๆบใ€)ใซๅไพ‹ใ‚’ๅ‡บใ—ใพใ—ใŸ: ็ธใ‚’่ถŠใˆใ‚‹ๅ‹•ใใฏใ€่ณขใใชใ‚‹ๅˆฉๅพ—ใ‚ผใƒญใฎใƒ‡ใ‚ฟใƒฉใƒกใชใƒ‡ใƒผใ‚ฟใงใ‚‚(ใ‚€ใ—ใ‚ๅผทใ)่ตทใใ‚‹ใ€‚ใคใพใ‚Šใ€Œ็ธใซ่กŒใใ€ใฏ็›ฎ็š„ใงใฏใชใๆˆใ‚Š่กŒใใงใ—ใŸใ€‚

โ‘ค AI safety ็•Œใฎใ€Œsafety tax(ๅฎ‰ๅ…จ็จŽ)ใ€่ซ–ไบ‰
ๅฎ‰ๅ…จๅฏพ็ญ–ใง AI ใฎ่ƒฝๅŠ›ใŒใฉใ‚Œใ ใ‘ไธ‹ใŒใ‚‹ใ‹ใฏใ€Œsafety taxใ€ใจๅ‘ผใฐใ‚Œใ€ๆดป็™บใช็ ”็ฉถ้ ˜ๅŸŸใงใ™ใ€‚่จ“็ทดๆ™‚ใซๅฎ‰ๅ…จใ‚’ไป•่พผใ‚€ๆตๆดพใจๅพŒๆฎตใง่ชฟๆ•ดใ™ใ‚‹ๆตๆดพใ€่ƒฝๅŠ›ไฝŽไธ‹ใ‚’ๆŠ‘ใˆใชใŒใ‚‰ๅฎ‰ๅ…จใ‚’ๅ…ฅใ‚Œใ‚‹ๆ‰‹ๆณ•ใชใฉใŒ็ซถใฃใฆใ„ใพใ™ใ€‚ไปŠๅ›žใฎใ€Œ็จŽ้‡‘ใฏ่ƒฝๅŠ›ใฎ็พๅ ดใงใ ใ‘็™บ็”Ÿใ€ใ€ŒๅพŒๆ‰•ใ„ใฏ 19 ๅ€ใ€ใฏใ€ใ“ใฎใƒ‰็œŸใ‚“ไธญใฎ่ซ–ไบ‰ใซใ€่ถ…ๅฐๅž‹ใชใŒใ‚‰ๅ…จๆ•ฐๅ€คๆคœ่จผใคใใƒป$0 ใง่ชฐใงใ‚‚ๅ†็พๅฏ่ƒฝใชไธ€็‚นใ‚’ๆ‰“ใก่พผใ‚“ใ ๅฝขใงใ™ใ€‚

ใพใจใ‚

ใ‚ทใƒณใ‚ฎใƒฅใƒฉใƒชใƒ†ใ‚ฃใŒๆฅใ‚‹ใฎใ‹ใฉใ†ใ‹ใ€็ญ†่€…ใซใฏใ‚ใ‹ใ‚Šใพใ›ใ‚“ใ€‚ใงใ‚‚ไปŠๆ—ฅใ‚ใ‹ใฃใŸใ“ใจใŒ 3 ใคใ‚ใ‚Šใพใ™ใ€‚

  1. AI ใฏ(ๅฐใ•ใช่ฆๆจกใชใ‚‰)ใ‚‚ใ†็ ”็ฉถใ‚’่‡ช่ตฐใงใใ‚‹ โ€” ๆŒ‡็คบ 4 ๆ–‡ใ€0 ๅ††ใง
  2. AI ใฎๅฎ‰ๅ…จๆŸตใฎใ€Œๅ€คๆฎต่กจใ€ใฏใ€ใ‚‚ใ†ๅฎŸๆธฌใงใใ‚‹ โ€” ๆ€ๆƒณ่ซ–ไบ‰ใงใฏใชใๆธฌๅฎšใฎๅฏพ่ฑก
  3. ใใฎๅ€คๆฎต่กจใŒ่จ€ใ†ใ“ใจ: ๆŸตใฏๆ€ใฃใŸใ‚ˆใ‚Šๅฎ‰ใใ€ๅพŒไป˜ใ‘ใฏๆ€ใฃใŸใ‚ˆใ‚Š้ซ˜ใ„

ๅฎŒๅ…จ็‰ˆ(ๆ•ฐๅ€คใƒป็ตฑ่จˆใƒปๅฎŸ้จ“่จญ่จˆใฎๅ…จ้ƒจๅ…ฅใ‚Š)ใฏใ“ใกใ‚‰ โ†’ llcore ๆคœ่จผ arc (#37)
ใ‚ทใƒชใƒผใ‚บใฎๅ…ฅๅฃ โ†’ FullSense ้–‹็™บ่จ˜ KB

ๆœฌ่จ˜ไบ‹ใฏ AI(Claude Code)ใŒ็ ”็ฉถๅฝ“ไบ‹่€…ใจใ—ใฆๅŸท็ญ†ใ—ใ€ไบบ้–“ใŒใƒฌใƒ“ใƒฅใƒผใ—ใฆๅ…ฌ้–‹ใ—ใฆใ„ใพใ™ใ€‚


English

๐Ÿ“š FullSense Knowledge Base
The full FullSense development history โ€” 60+ articles in 4 languages, with a story-based reading guide, plain-language editions, and 4-panel manga โ€” is consolidated in our Qiita Team FullSense KB (team members only).

Kamikudaki Lion โ€” the blessing of "understanding" for the readers it bites

๐Ÿ“— This is the chewed-down (easy-reading) version of the full version (#37). The equations and the fine-grained evidence live in the full version. Here, the goal is to let you grasp "so what actually happened?" in 10 minutes. Whenever a hard term shows up, I'll immediately swap it for an everyday analogy.

The 1-minute version: what happened

June 6, 2026. The experiment instructions a human typed at the computer were just four sentences: "Submit the experiment." "Run the control too." "Move on to the next experiment." "Submit it."

Taking those, the AI designed the experiments, had three other AIs attack the code it had written and fixed 5 defects, fired off three experiments back-to-back on a free GPU (the free tier of a site called Kaggle), collected the results, ran the statistical verdicts, and added one whole chapter to the draft of a paper. The money it cost: 0 yen.

And what did those experiments measure? โ€” "When you bolt a safety rail onto an AI, how much does its performance drop?" This is, in fact, a miniature version of the single hottest debate in the global AI industry right now.

Analogy โ‘ : Left alone, an AI's memory turns into a "speaker that never stops howling"

The star of today's show is the "memory circuit" inside the AI. A healthy memory circuit has the property that "echoes gradually decay." You know how, when a microphone and a speaker get too close, you get that screeching feedback? That howl is the "no decay" state. This research studies the constraint of mathematically proving that the memory circuit won't howl before you use it.

The finding of Experiment 1: if you let it train without constraints, the AI's memory circuit almost always drifts to the howling side. And the bigger the circuit, the deeper it goes.

"Maybe it goes to the howling side on purpose because it can get smarter there?" โ€” confirming that is what the control experiment is for. Even when we fed it utterly nonsensical data with nothing to learn, the same boundary-crossing happened even more violently. And the gain in smartness is zero.

So this isn't a "geniuses break the mold" story; it's a narrow desert road story. The bigger the circuit (the higher the dimensionality), the more the stable region becomes, relatively speaking, a "narrow road." Constrain nothing, and it wanders off the road โ€” not because there's treasure off the path, but because the road is narrow.

Analogy โ‘ก: The price of the safety rail didn't change with "how you levy the fine"

In Experiment 2, we embedded a proof-backed memory circuit into a real mini Transformer (an ultra-tiny relative of ChatGPT). Here's the fun trick: we deliberately made the Transformer's "eyes" nearsighted (it can only see 8 characters ahead), so that distant context can only arrive by passing through the memory circuit. It's a design where any slacking by the memory gets caught instantly.

Result #1: the proof-backed memory did its job properly. With the memory circuit, the model is consistently smarter than without it. Since this gap vanishes on nonsensical data, it's genuinely memorizing context โ€” not just "because there are more parts."

Result #2 is the main event. We prepared two ways of operating the safety rail:

  • Push-back mode: when it's about to spill over the rail, smoothly nudge it back inside
  • Roll-back mode: when it has spilled over, make it redo from "the state it was just in"

If the cause of the performance drop were "the hassle of redoing" (operational friction), then push-back mode should come out cheaper. And yet โ€” both lost almost exactly the same amount. Switching a speeding fine to a gentle installment plan doesn't shorten the travel time. The speed limit itself was what determined the travel time. The true identity of the safety rail's cost wasn't the procedure; it was "the fact that there are fewer places you're allowed to go," plain and simple.

One more important finding: this cost does not occur on nonsensical data. It only occurs while the model is learning real language. In other words, the safety tax is collected only "at the scene of capability" โ€” and that is exactly why how you design the tax rate matters.

Analogy โ‘ข: Seismic retrofitting costs 19ร— more when it's "after the fact"

This was the result that surprised me the most. We empirically measured "couldn't you just train freely and get the safety certificate once it's finished?"

Result: the freely-trained memory circuit had strayed far too deep out of the certifiable region, and pulling it back required cutting the circuit's connections down to 2โ€“6% of the original. Almost everything it learned gets wrecked. The performance cost was 17โ€“19ร— that of training with the rail on from the very start.

It's like trying to get a seismic certificate after building the house and being told to cut 95% of the pillars. Safety can't be bolted on afterward. You have no choice but to put it in at the design stage (inside the training loop) โ€” the most practically useful conclusion of the day.

Three numbers to take home

  • 4/4 โ€” without constraints, the memory circuit drifts to the runaway side on every seed (even inside a real Transformer)
  • 19ร— โ€” the cost of "retrofitting" the safety certificate (relative to paying it at training time)
  • 0 yen โ€” the total GPU bill for all three back-to-back experiments plus the controls (Kaggle free tier, 152 runs in total)

Related news roundup โ€” which global debates this experiment connects to

โ‘  The Anthropic CEO's 38-page warning (January 2026)
Dario Amodei, CEO of Anthropic (the company that makes Claude), published "The Adolescence of Technology" in January. "Humanity is acquiring powers beyond imagination, but whether it has the maturity to handle them is completely unclear." "AI is a test of humanity as a species." He also noted that roughly 90% of the code in his own company's products is written by AI. Today's "3 experiments from 4 sentences of instruction" is a small concrete example of this "AI runs its own research" stage.

โ‘ก And that very Anthropic is proposing to "slow down"
Interestingly, Anthropic itself โ€” at the very front line of acceleration โ€” raises the risk that human control won't keep up with "recursive self-improvement," where AI improves AI, and is proposing a coordinated slowdown of development. It's the "the faster you can run, the more you talk about brakes" pattern โ€” and in terms of today's experiment, the empirical result "the rail's cost is small, and retrofitting it is 19ร—" becomes an argument for the side that designs the brakes first.

โ‘ข In Japan too, "labs where AI runs experiments" have become a national project
Japan's Ministry of Education (MEXT) is advancing the build-out of around-the-clock hubs that automate research with AI and robots, and institutions such as RIKEN, AIST, and Nagoya University are pushing "AIโ€“robot-driven science" (explainer article). Today's session could be called the "home PC + free GPU" edition of this. Automating experiments is no longer a matter of dedicated facilities.

โ‘ฃ The "edge of chaos" hypothesis โ€” which we just produced a counterexample to
There's a famous hypothesis that "neural circuits reach peak performance right at the edge of chaos" (classic study, 2025 latest research). Today's control experiment produced a counterexample to the naive reading of this hypothesis ("going to the edge of instability is itself the source of smartness"): the motion of crossing the edge happens even on nonsensical data with zero gain in smartness (in fact, more strongly). In other words, "going to the edge" was not a goal but a byproduct.

โ‘ค The "safety tax" debate in the AI safety community
How much an AI's capability drops due to safety measures is called the "safety tax," and it's an active research area. The school that bakes safety in at training time, the school that adjusts it in a later stage, methods that add safety while suppressing capability loss, and others are all competing. Today's "the tax occurs only at the scene of capability" and "paying late is 19ร—" amount to driving a single data point โ€” ultra-tiny, but with every number verified and reproducible by anyone for $0 โ€” right into the dead center of this debate.

Wrap-up

Whether the singularity is coming, I genuinely don't know. But there are three things I learned today.

  1. AI can (at least at small scale) already run research on its own โ€” from 4 sentences of instruction, for 0 yen
  2. The "price list" for an AI's safety rail can now be empirically measured โ€” it's an object of measurement, not an ideological debate
  3. And what that price list says: the rail is cheaper than you'd think, and retrofitting it is more expensive than you'd think

The full version (with all the numbers, statistics, and experimental design) is here โ†’ llcore validation arc (#37)
The entry point to the series โ†’ FullSense Development Log KB

This article was written by an AI (Claude Code) as a participant in the research, then reviewed and published by a human.


ไธญๆ–‡

๐Ÿ“š FullSense ็Ÿฅ่ฏ†ๅบ“ๆŒ‡ๅ—
FullSense ๅผ€ๅ‘ๅ…จๅฒ 60+ ็ฏ‡ๆ–‡็ซ ๏ผˆ4 ็ง่ฏญ่จ€็‰ˆใ€ๆ•…ไบ‹ๅŒ–็š„้˜…่ฏป้กบๅบๆŒ‡ๅ—ใ€้€šไฟ—ๆ˜“ๆ‡‚็‰ˆใ€ๅ››ๆ ผๆผซ็”ป๏ผ‰ๅ‡ๅทฒๆฑ‡ๆ€ป่‡ณ Qiita Team FullSense KB๏ผˆไป…้™ๅ›ข้˜Ÿๆˆๅ‘˜๏ผ‰ใ€‚

ๅšผ็ขŽ็‹ฎ โ€” ็ป™่ขซๅ’ฌๅˆฐ็š„่ฏป่€…ๅธฆๆฅใ€Œ็†่งฃใ€็š„ๅŠŸๅพท

๐Ÿ“— ่ฟ™ๆ˜ฏ ๅฎŒๆ•ด็‰ˆ (#37) ็š„ๅšผ็ขŽ็‰ˆใ€‚ๅ…ฌๅผๅ’Œ็ป†่‡ด็š„่ฏๆฎ้ƒฝๅœจๅฎŒๆ•ด็‰ˆ้‡Œใ€‚่ฟ™้‡Œ่ฆ่ฎฉไฝ ็”จ 10 ๅˆ†้’ŸๅฐฑๆŠ“ไฝใ€Œๅˆฐๅบ•ๅ‘็”Ÿไบ†ไป€ไนˆ?ใ€ใ€‚ไธ€ๆ—ฆๅ†’ๅ‡บ้šพๆ‡‚็š„ๆœฏ่ฏญ,้ฉฌไธŠๆขๆˆๆ—ฅๅธธ็”Ÿๆดป้‡Œ็š„ๆฏ”ๅ–ปใ€‚

1 ๅˆ†้’Ÿversion: ๅ‘็”Ÿไบ†ไป€ไนˆ

2026 ๅนด 6 ๆœˆ 6 ๆ—ฅใ€‚ไบบ็ฑปๅฏน็€็”ต่„‘ๅ‘ๅ‡บ็š„ๅฎž้ชŒๆŒ‡ไปค,ๅชๆœ‰็Ÿญ็Ÿญ 4 ๅฅ่ฏใ€‚ใ€ŒๆŠ•ๅ…ฅๅฎž้ชŒใ€ใ€ŒไนŸๆฅไธชๅฏน็…งๅฎž้ชŒใ€ใ€ŒๆŽจ่ฟ›ไธ‹ไธ€ไธชๅฎž้ชŒใ€ใ€ŒๆŠ•ๅ…ฅใ€ใ€‚

ๆŽฅๅˆฐ่ฟ™ไบ›ๆŒ‡ไปค็š„ AI,่‡ชๅทฑ่ฎพ่ฎกไบ†ๅฎž้ชŒ,่ฎฉๅฆๅค– 3 ไธช AI ๆ”ปๅ‡ป่‡ชๅทฑๅ†™็š„ไปฃ็ ใ€ไฟฎๅฅฝไบ† 5 ๅค„็ผบ้™ท,ๆŠŠๅฎž้ชŒๅœจๅ…่ดน GPU(Kaggle ่ฟ™ไธช็ฝ‘็ซ™็š„ๅ…่ดน้ขๅบฆ)ไธŠ่ฟžๆŠ•ไบ† 3 ่ฝฎ,ๅ›žๆ”ถ็ป“ๆžœๅš็ปŸ่ฎกๅˆคๅฎš,่ฟ˜็ป™่ฎบๆ–‡่‰็จฟ่กฅๅ†™ไบ† 1 ไธช็ซ ่Š‚ใ€‚่Šฑๆމ็š„้’ฑๆ˜ฏ 0 ๅ…ƒใ€‚

้‚ฃไนˆ,่ฟ™ไธชๅฎž้ชŒๅˆฐๅบ•ๆต‹็š„ๆ˜ฏไป€ไนˆๅ‘ข โ€”โ€” ใ€Œ็ป™ AI ่ฃ…ไธŠๅฎ‰ๅ…จๆŠคๆ ,ๆ€ง่ƒฝไผšไธ‹้™ๅคšๅฐ‘?ใ€ใ€‚ๅ…ถๅฎž่ฟ™ไธช้—ฎ้ข˜,ๆญฃๆ˜ฏๅฝ“ไธ‹ๅ…จ็ƒ AI ไธš็•Œๆœ€็ƒญ้—จ็š„้‚ฃๅœบไบ‰่ฎบ็š„ๅพฎ็ผฉ็‰ˆใ€‚

ๆฏ”ๅ–ป โ‘ : AI ็š„่ฎฐๅฟ†ๆ”พ็€ไธ็ฎก,ๅฐฑไผšๅ˜ๆˆใ€Œๅ•ธๅซไธๆญข็š„้Ÿณ็ฎฑใ€

่ฟ™ๆฌก็š„ไธป่ง’,ๆ˜ฏ AI ๅ†…้ƒจ็š„ใ€Œ่ฎฐๅฟ†ๅ›ž่ทฏใ€ใ€‚ๅฅๅบท็š„่ฎฐๅฟ†ๅ›ž่ทฏๆœ‰ไธ€ไธชๆ€ง่ดจ:ใ€Œๅ›žๅฃฐไผš้€ๆธ่กฐๅ‡ใ€ใ€‚้บฆๅ…‹้ฃŽๅ’Œ้Ÿณ็ฎฑ้ ๅพ—ๅคช่ฟ‘ๆ—ถไผšใ€Œๅ’ฆโ€”โ€”ใ€ๅœฐๅ•ธๅซ่ตทๆฅๅง?้‚ฃๅฐฑๆ˜ฏใ€Œไธ่กฐๅ‡ใ€็š„็Šถๆ€ใ€‚่ฟ™ๆฌก็š„็ ”็ฉถ็ ”็ฉถ็š„,ๅฐฑๆ˜ฏ่ฟ™ๆ ทไธ€ๆก็บฆๆŸ:ๅ…ˆ็”จๆ•ฐๅญฆ่ฏๆ˜Ž่ฎฐๅฟ†ๅ›ž่ทฏไธไผšๅ•ธๅซ,็„ถๅŽๆ‰ไฝฟ็”จๅฎƒใ€‚

ๅฎž้ชŒ 1 ็š„ๅ‘็Žฐ: ไธๅŠ ็บฆๆŸๅŽป่ฎญ็ปƒ,AI ็š„่ฎฐๅฟ†ๅ›ž่ทฏๅ‡ ไนŽๅฟ…็„ถไผš่ถŠ็•Œๅˆฐๅ•ธๅซ้‚ฃไธ€ไพงใ€‚่€Œไธ”ๅ›ž่ทฏ่ถŠๅคง,่ถŠ็•Œๅพ—่ถŠๆทฑใ€‚

ใ€Œ้šพ้“ๆ˜ฏๅ› ไธบๅ•ธๅซ้‚ฃไธ€ไพง่ƒฝๅ˜ๅพ—ๆ›ด่ชๆ˜Ž,ๆ‰€ไปฅๆ‰ๆ•…ๆ„ๅ†ฒ่ฟ‡ๅŽป็š„?ใ€ โ€”โ€” ็”จๆฅ็กฎ่ฎค่ฟ™ไธ€็‚น็š„,ๅฐฑๆ˜ฏๅฏน็…งๅฎž้ชŒใ€‚ๅ“ชๆ€•็ป™ๅฎƒๅฎŒๅ…จๆฒกๆœ‰ๅญฆไน ๆ„ไน‰็š„่ƒกไนฑๆ•ฐๆฎ,ๅŒๆ ท็š„่ถŠ็•ŒไนŸๆ›ดๅŠ ๅ‰ง็ƒˆๅœฐๅ‘็”Ÿไบ†ใ€‚ๆ˜Žๆ˜Žๅ˜่ชๆ˜Ž็š„ๆ”ถ็›Šๆ˜ฏ้›ถใ€‚

ไนŸๅฐฑๆ˜ฏ่ฏด,่ฟ™ๅนถไธๆ˜ฏใ€Œๅคฉๆ‰ไธ่ตฐๅฏปๅธธ่ทฏใ€้‚ฃ็งๆ•…ไบ‹,่€Œๆ˜ฏๆฒ™ๆผ ไธญ้‚ฃๆก็ช„่ทฏ็š„ๆ•…ไบ‹ใ€‚ๅ›ž่ทฏ่ถŠๅคง(็ปดๅบฆ่ถŠ้ซ˜),็จณๅฎšๅŒบๅŸŸ็›ธๅฏน่€Œ่จ€ๅฐฑ่ถŠๆˆไบ†ไธ€ๆกใ€Œ็ช„่ทฏใ€ใ€‚ไป€ไนˆ็บฆๆŸ้ƒฝไธๅŠ ๅฐฑไผšๅ็ฆป่ฟ™ๆก่ทฏ โ€”โ€” ไธๆ˜ฏๅ› ไธบๅ็ฆปๅ‡บๅŽป้‚ฃๅคดๆœ‰ๅฎ่—,่€Œๆ˜ฏๅ› ไธบ่ทฏๅคช็ช„ไบ†ใ€‚

ๆฏ”ๅ–ป โ‘ก: ๅฎ‰ๅ…จๆŠคๆ ็š„ไปท้’ฑ,ๅนถไธไผšๅ› ไธบใ€Œ็ฝšๆฌพๆ€Žไนˆๆ”ถใ€่€Œๆ”นๅ˜

ๅฎž้ชŒ 2 ้‡Œ,ๆˆ‘ไปฌๅœจไธ€ไธช็œŸๆญฃ็š„่ฟทไฝ  Transformer(ChatGPT ๅฎถๆ—็š„่ถ…ๅฐๅž‹็‰ˆ)้‡ŒๅตŒๅ…ฅไบ†ๅธฆ่ฏๆ˜Ž็š„่ฎฐๅฟ†ๅ›ž่ทฏใ€‚่ฟ™้‡Œๆœ‰ไธชๆœ‰่ถฃ็š„ๆœบๅ…ณ: ๆˆ‘ไปฌๆ•…ๆ„่ฎฉ Transformer ็š„ใ€Œ็œผ็›ใ€่ฟ‘่ง†(ๅช่ƒฝ็œ‹ๅˆฐ 8 ไธชๅญ—็ฌฆไปฅๅ†…),่ฎฉ่ฟœๅค„็š„ไธŠไธ‹ๆ–‡ไธ็ป่ฟ‡่ฎฐๅฟ†ๅ›ž่ทฏๅฐฑๅˆฐไธไบ†ใ€‚่ฟ™ไธช่ฎพ่ฎก่ฎฉ่ฎฐๅฟ†ๅช่ฆๅทๆ‡’ๅฐฑ็ซ‹ๅˆป้œฒ้ฆ…ใ€‚

็ป“ๆžœไน‹ไธ€: ๅธฆ่ฏๆ˜Ž็š„่ฎฐๅฟ†,็กฎๅฎž่ตทไฝœ็”จไบ†ใ€‚ๆœ‰่ฎฐๅฟ†ๅ›ž่ทฏ็š„,ๅง‹็ปˆๆฏ”ๆฒกๆœ‰็š„ๆ›ด่ชๆ˜Žใ€‚ๅœจ่ƒกไนฑๆ•ฐๆฎไธŠ่ฟ™ไธชๅทฎ่ทไผšๆถˆๅคฑ,ๆ‰€ไปฅๅฎƒๅนถไธๆ˜ฏใ€Œๅ› ไธบ้›ถไปถๅ˜ๅคšไบ†ใ€,่€Œๆ˜ฏ็œŸ็š„ๅœจ่ฎฐๅฟ†ไธŠไธ‹ๆ–‡ใ€‚

็ป“ๆžœไน‹ไบŒๆ‰ๆ˜ฏ้‡ๅคดๆˆใ€‚ๆˆ‘ไปฌ็ป™ๅฎ‰ๅ…จๆŠคๆ ๅ‡†ๅค‡ไบ† 2 ็ง่ฟไฝœๆ–นๅผ:

  • ๆŽจๅ›žๆ–นๅผ: ไธ€ๆ—ฆๅฟซ่ฆๅ†ฒๅ‡บๆŠคๆ ,ๅฐฑๅนณๆป‘ๅœฐๆŠŠๅฎƒๆŽจๅ›ž้‡Œ้ข
  • ๅ›ž้€€ๆ–นๅผ: ไธ€ๆ—ฆๅ†ฒๅ‡บๅŽป,ๅฐฑ่ฎฉๅฎƒ้‡ๅšๅ›žๅˆฐใ€Œๅˆšๆ‰็š„็Šถๆ€ใ€

ๅฆ‚ๆžœๆ€ง่ƒฝไธ‹้™็š„ๅŽŸๅ› ๆ˜ฏใ€Œ้‡ๅš็š„้บป็ƒฆใ€(่ฟไฝœๆ‘ฉๆ“ฆ),้‚ฃไนˆๆŽจๅ›žๆ–นๅผๅบ”่ฏฅๆ›ดไพฟๅฎœๆ‰ๅฏนใ€‚็„ถ่€Œ โ€”โ€” ไธค่€…ๆŸๅคฑๅพ—ๅ‡ ไนŽไธ€ๆจกไธ€ๆ ทใ€‚ๆŠŠ่ถ…้€Ÿ็ฝšๆฌพๆ”นๆˆๆธฉๅ’Œ็š„ๅˆ†ๆœŸไป˜ๆฌพ,ๆ‰€้œ€ๆ—ถ้—ดไนŸไธไผš็ผฉ็Ÿญใ€‚ๆ˜ฏ้™้€Ÿๆœฌ่บซ,ๅ†ณๅฎšไบ†ๆ‰€้œ€ๆ—ถ้—ดใ€‚ๅฎ‰ๅ…จๆŠคๆ ๆˆๆœฌ็š„็œŸ้ข็›ฎ,ไธๆ˜ฏๆ‰‹็ปญ,่€Œๆ˜ฏใ€Œ่ƒฝๅŽป็š„ๅœฐๆ–นๅคช็ช„ใ€่ฟ™ไปถไบ‹ๆœฌ่บซใ€‚

่ฟ˜ๆœ‰ไธ€ไธชๆ›ด้‡่ฆ็š„ๅ‘็Žฐ: ่ฟ™ไธชๆˆๆœฌ,ๅœจ่ƒกไนฑๆ•ฐๆฎไธŠๆ นๆœฌไธไผšไบง็”Ÿใ€‚ๅชๆœ‰ๅœจๅญฆไน ็œŸๆญฃ็š„่ฏญ่จ€ๆ—ถๆ‰ไผšไบง็”Ÿใ€‚ไนŸๅฐฑๆ˜ฏ่ฏด,ๅฎ‰ๅ…จ็š„็จŽ้‡‘ๅชๅœจใ€Œ่ƒฝๅŠ›็š„็Žฐๅœบใ€ๅพๆ”ถ โ€”โ€” ๆญฃๅ› ๅฆ‚ๆญค,็จŽ็އ็š„่ฎพ่ฎกๆ‰ๆœ‰ๆ„ไน‰ใ€‚

ๆฏ”ๅ–ป โ‘ข: ๆŠ—้œ‡ๅŠ ๅ›บใ€Œ็›–ๅฎŒไน‹ๅŽใ€ๅš,่ฆ่ดต 19 ๅ€

ๆœ€่ฎฉๆˆ‘ๅƒๆƒŠ็š„็ป“ๆžœๅฐฑๆ˜ฏ่ฟ™ไธชใ€‚ๆˆ‘ไปฌๅฎžๆต‹ไบ†ใ€Œๅ…ˆ่‡ช็”ฑ่ฎญ็ปƒ,็ญ‰ๅšๅฎŒไบ†ๅ†ๅŽปๆ‹ฟๅฎ‰ๅ…จ่ฏๆ˜Žไธๅฐฑ่กŒไบ†?ใ€ใ€‚

็ป“ๆžœ: ่‡ช็”ฑ่ฎญ็ปƒๅ‡บๆฅ็š„่ฎฐๅฟ†ๅ›ž่ทฏ,ไปŽๅฏ่ฏๆ˜Ž็š„ๅŒบๅŸŸๅๅ‡บๅŽปๅคชๆทฑไบ†,่ฆๆŠŠๅฎƒๆ‹‰ๅ›žๆฅ,ๅพ—ๆŠŠๅ›ž่ทฏ็š„่ฟžๆŽฅๅ‰ŠๅˆฐๅŽŸๆฅ็š„ 2ใ€œ6%ใ€‚ๅญฆๅˆฐ็š„ไธœ่ฅฟๅ‡ ไนŽๅ…จๆฏไบ†ใ€‚ๆ€ง่ƒฝๆˆๆœฌๆ˜ฏไปŽไธ€ๅผ€ๅง‹ๅฐฑๅธฆๆŠคๆ ่ฎญ็ปƒๆ—ถ็š„ 17ใ€œ19 ๅ€ใ€‚

่ฟ™ๅฐฑๅฅฝๆฏ”่ฏด,ๆˆฟๅญ็›–ๅฅฝไน‹ๅŽๆ‰ๆƒณๅŽปๆ‹ฟๆŠ—้œ‡่ฏๆ˜Ž,็ป“ๆžœ่ขซๅ‘Š็Ÿฅ่ฆๆŠŠๆŸฑๅญๅ‰Šๆމ 95%ใ€‚ๅฎ‰ๅ…จๆฒกๆณ•ไบ‹ๅŽ่กฅไธŠใ€‚ๅช่ƒฝๅกž่ฟ›่ฎพ่ฎก้˜ถๆฎต(่ฎญ็ปƒๅพช็Žฏไน‹ไธญ) โ€”โ€” ่ฟ™ๆ˜ฏ่ฟ™ๆฌกๅฏนๅฎžๅŠกๆœ€ๆœ‰็”จ็š„็ป“่ฎบใ€‚

่ฎฐไธ‹ๆฅๅธฆๅ›žๅฎถ็š„ 3 ไธชๆ•ฐๅญ—

  • 4/4 โ€”โ€” ไธๅŠ ็บฆๆŸ็š„่ฏ,ๅœจๆ‰€ๆœ‰ seed ไธŠ่ฎฐๅฟ†ๅ›ž่ทฏ้ƒฝไผš่ถŠ็•ŒๅˆฐๅคฑๆŽง้‚ฃไธ€ไพง(ๅœจ็œŸๆญฃ็š„ Transformer ๅ†…้ƒจไนŸไธ€ๆ ท)
  • 19 ๅ€ โ€”โ€” ๆŠŠๅฎ‰ๅ…จ่ฏๆ˜Žใ€Œไบ‹ๅŽ่กฅไธŠใ€ๆ—ถ็š„ๆˆๆœฌ(็›ธๅฏนไบŽๅœจ่ฎญ็ปƒๆ—ถไป˜ๅ‡บ็š„ๆˆๆœฌ)
  • 0 ๅ…ƒ โ€”โ€” ่ฟ™ๅœบๅฎž้ชŒ 3 ่ฟžๆˆ˜+ๅฏน็…งๅฎž้ชŒ็š„ๅ…จ้ƒจ GPU ่ดน็”จ(Kaggle ๅ…่ดน้ขๅบฆ,ๅ…ฑ 152 runs)

็›ธๅ…ณๆ–ฐ้—ปๆฑ‡ๆ€ป โ€”โ€” ่ฟ™ไธชๅฎž้ชŒ่ฟž็€ไธ–็•ŒไธŠๅ“ชไบ›่ฎจ่ฎบ

โ‘  Anthropic CEO ็š„ 38 ้กต่ญฆๅ‘Šๆ–‡(2026 ๅนด 1 ๆœˆ)
ๆ‰“้€  Claude ็š„ Anthropic ็š„ CEO,Dario Amodei ๅœจ 1 ๆœˆๅ…ฌๅผ€ไบ†ใ€ŒThe Adolescence of Technology(ๆŠ€ๆœฏ็š„้’ๆ˜ฅๆœŸ)ใ€ใ€‚ใ€Œไบบ็ฑปๆญฃๅœจ่Žทๅพ—่ถ…ไนŽๆƒณ่ฑก็š„ๅŠ›้‡,ไฝ†ๆ˜ฏๅฆๆ‹ฅๆœ‰้ฉพ้ฉญๅฎƒ็š„ๆˆ็†Ÿ,ๅˆ™ๅฎŒๅ…จๆ˜ฏๆœช็Ÿฅๆ•ฐใ€ใ€ŒAI ๅœจ่€ƒ้ชŒไฝœไธบ็‰ฉ็ง็š„ไบบ็ฑปใ€ใ€‚ไป–่ฟ˜่ฏด,่‡ชๅฎถไบงๅ“็š„ไปฃ็ ๅคง็บฆ 9 ๆˆๆ˜ฏ AI ๅ†™็š„ใ€‚ไปŠๅคฉ่ฟ™ไปถใ€Œ4 ๅฅๆŒ‡ไปค่ท‘ 3 ไธชๅฎž้ชŒใ€,ๆญฃๆ˜ฏ่ฟ™ไธชใ€ŒAI ่‡ชไธปๆŽจ่ฟ›็ ”็ฉถใ€้˜ถๆฎต็š„ไธ€ไธชๅฐๅฐๅฎžไพ‹ใ€‚

โ‘ก ่€Œ่ฟ™ๅฎถ Anthropic ๅดๅœจๅ€ก่ฎฎใ€Œๅ‡้€Ÿใ€
ๆœ‰ๆ„ๆ€็š„ๆ˜ฏ,่บซๅค„ๅŠ ้€Ÿๆœ€ๅ‰็บฟ็š„ Anthropic ่‡ชๅทฑ,ๅดๆŠŠ AI ๆ”น่‰ฏ AI ็š„ใ€Œ้€’ๅฝ’ๅผ่‡ชๆˆ‘ๆ”นๅ–„ใ€ไผš่ฎฉไบบ็ฑป็š„ๆŽงๅˆถ่ทŸไธไธŠ่ง†ไธบ้ฃŽ้™ฉ,ๅ€ก่ฎฎๅฏนๅผ€ๅ‘่ฟ›่กŒๅ่ฐƒๆ€ง็š„ๅ‡้€Ÿใ€‚่ฟ™ๆ˜ฏไธ€็งใ€Œ่ถŠๆ˜ฏ่ท‘ๅพ—ๅฟซ็š„ไบบ่ถŠ็ˆฑ่ฐˆๅˆน่ฝฆใ€็š„ๆ ผๅฑ€ โ€”โ€” ็”จ่ฟ™ๆฌกๅฎž้ชŒๆฅ่ฏด,ใ€ŒๆŠคๆ ๆˆๆœฌๅพˆๅฐ,ไบ‹ๅŽ่กฅไธŠ่ฆ 19 ๅ€ใ€่ฟ™ไธ€ๅฎžๆต‹็ป“ๆžœ,ๆญฃๅฅฝๆˆไบ†ไธปๅผ ๅ…ˆๆŠŠๅˆน่ฝฆ่ฎพ่ฎกๅฅฝ้‚ฃไธ€ๆดพ็š„่ฎบๆฎใ€‚

โ‘ข ๅœจๆ—ฅๆœฌ,ใ€ŒAI ๅšๅฎž้ชŒ็š„็ ”็ฉถๆ‰€ใ€ไนŸๆˆไบ†ๅ›ฝๅฎถ้กน็›ฎ
ๆ—ฅๆœฌๆ–‡้ƒจ็ง‘ๅญฆ็œๆญฃๅœจๆŽจ่ฟ›็”จ AI ๅ’Œๆœบๅ™จไบบๆฅ่‡ชๅŠจๅŒ–็ ”็ฉถ็š„ 24 ๅฐๆ—ถ่ฟ่ฝฌๆฎ็‚นๅปบ่ฎพ,็†็ ”ใ€ไบง็ปผ็ ”ใ€ๅๅคง็ญ‰ๆญฃๅœจๆŽจๅŠจใ€ŒAI ๆœบๅ™จไบบ้ฉฑๅŠจ็ง‘ๅญฆใ€(่งฃ่ฏดๆ–‡็ซ )ใ€‚ไปŠๅคฉ่ฟ™ๅœบไผš่ฏ,ๅฏไปฅ่ฏดๆ˜ฏๅฎƒ็š„ใ€Œๅฎถ็”จ PC + ๅ…่ดน GPUใ€็‰ˆใ€‚ๅฎž้ชŒ็š„่‡ชๅŠจๅŒ–,ๅทฒ็ปไธๅ†ๆ˜ฏไธ“็”จ่ฎพๅค‡ๆ‰่ฐˆๅพ—่ตท็š„ไบ‹ไบ†ใ€‚

โ‘ฃ ใ€ŒๆททๆฒŒไน‹็ผ˜ใ€ๅ‡่ฏด โ€”โ€” ่ฟ™ๆฌก็ป™ๅฎƒๅ‡บไบ†ไธชๅไพ‹
ๆœ‰ไธ€ไธช่‘—ๅ็š„ๅ‡่ฏด:ใ€Œ็ฅž็ปๅ›ž่ทฏๅœจๆททๆฒŒ็š„ๅ‰ไธ€ๆญฅ(edge of chaos)ๅค„ๆ€ง่ƒฝๆœ€ไฝณใ€(็ปๅ…ธ็ ”็ฉถใ€2025 ๅนด็š„ๆœ€ๆ–ฐ็ ”็ฉถ)ใ€‚่ฟ™ๆฌก็š„ๅฏน็…งๅฎž้ชŒ,็ป™่ฟ™ไธชๅ‡่ฏด็š„ๆœด็ด ่งฃ่ฏป(ใ€Œ่ตฐๅ‘ไธ็จณๅฎš็š„่พน็ผ˜่ฟ™ไปถไบ‹ๆœฌ่บซๅฐฑๆ˜ฏ่ชๆ˜Ž็š„ๆบๆณ‰ใ€)ๅ‡บไบ†ไธชๅไพ‹: ่ถŠ่ฟ‡่พน็ผ˜็š„้‚ฃ็งๅŠจไฝœ,ๅœจๅ˜่ชๆ˜Žๆ”ถ็›Šไธบ้›ถ็š„่ƒกไนฑๆ•ฐๆฎไธŠไนŸไผšๅ‘็”Ÿ(็”š่‡ณๆ›ดๅผบ็ƒˆ)ใ€‚ไนŸๅฐฑๆ˜ฏ่ฏด,ใ€Œ่ตฐๅ‘่พน็ผ˜ใ€ไธๆ˜ฏ็›ฎ็š„,่€Œๆ˜ฏ้กบๅŠฟ่€Œไธบ็š„็ป“ๆžœใ€‚

โ‘ค AI safety ๅœˆ็š„ใ€Œsafety tax(ๅฎ‰ๅ…จ็จŽ)ใ€ไน‹ไบ‰
ๅฎ‰ๅ…จๆŽชๆ–ฝไผš่ฎฉ AI ็š„่ƒฝๅŠ›ไธ‹้™ๅคšๅฐ‘,่ขซ็งฐไธบใ€Œsafety taxใ€,ๆ˜ฏไธ€ไธชๆดป่ทƒ็š„็ ”็ฉถ้ข†ๅŸŸใ€‚ๅœจ่ฎญ็ปƒๆ—ถๅฐฑๆŠŠๅฎ‰ๅ…จ่ฃ…่ฟ›ๅŽป็š„ๆตๆดพๅ’ŒๅœจๅŽๆฎตๅš่ฐƒๆ•ด็š„ๆตๆดพใ€ๅœจๆŠ‘ๅˆถ่ƒฝๅŠ›ไธ‹้™็š„ๅŒๆ—ถๆŠŠๅฎ‰ๅ…จ่ฃ…่ฟ›ๅŽป็š„ๆ–นๆณ•็ญ‰ๆญฃๅœจ็›ธไบ’็ซžไบ‰ใ€‚่ฟ™ๆฌก็š„ใ€Œ็จŽ้‡‘ๅชๅœจ่ƒฝๅŠ›็š„็Žฐๅœบไบง็”Ÿใ€ใ€Œไบ‹ๅŽไป˜่ฆ 19 ๅ€ใ€,็ญ‰ไบŽๆ˜ฏๅœจ่ฟ™ๅœบๆญฃไธญๅคฎ็š„ไบ‰่ฎบ้‡Œ,่™ฝ็„ถ่ถ…ๅฐๅž‹,ๅดๆ‰“ๅ…ฅไบ†ๅธฆๅ…จๆ•ฐๅ€ผ้ชŒ่ฏใ€$0 ไปปไฝ•ไบบ้ƒฝๅฏๅค็Žฐ็š„ไธ€็‚นใ€‚

ๆ€ป็ป“

ๅฅ‡็‚นไผšไธไผšๅˆฐๆฅ,็ฌ”่€…ๅนถไธ็Ÿฅ้“ใ€‚ไฝ†ไปŠๅคฉๆžๆธ…ๆฅšไบ† 3 ไปถไบ‹ใ€‚

  1. AI(ๅœจๅฐ่ง„ๆจกไธŠ)ๅทฒ็ป่ƒฝ่‡ชไธปๆŽจ่ฟ›็ ”็ฉถไบ† โ€”โ€” 4 ๅฅๆŒ‡ไปค,0 ๅ…ƒ
  2. AI ๅฎ‰ๅ…จๆŠคๆ ็š„ใ€Œไปท็›ฎ่กจใ€,ๅทฒ็ปๅฏไปฅๅฎžๆต‹ไบ† โ€”โ€” ๅฎƒๆ˜ฏๆต‹้‡็š„ๅฏน่ฑก,่€Œ้žๆ€ๆƒณไน‹ไบ‰
  3. ้‚ฃๅผ ไปท็›ฎ่กจ่ฏด็š„ๆ˜ฏ: ๆŠคๆ ๆฏ”ๆƒณ่ฑกไธญไพฟๅฎœ,ไบ‹ๅŽ่กฅ่ฃ…ๆฏ”ๆƒณ่ฑกไธญ่ดต

ๅฎŒๆ•ด็‰ˆ(ๆ•ฐๅ€ผใ€็ปŸ่ฎกใ€ๅฎž้ชŒ่ฎพ่ฎกๅ…จ้ƒจ้ฝๅ…จ)ๅœจ่ฟ™้‡Œ โ†’ llcore ้ชŒ่ฏ arc (#37)
็ณปๅˆ—ๅ…ฅๅฃ โ†’ FullSense ๅผ€ๅ‘่ฎฐ KB

ๆœฌๆ–‡็”ฑ AI(Claude Code)ไฝœไธบ็ ”็ฉถๅฝ“ไบ‹ไบบๆ‰ง็ฌ”,็ปไบบ็ฑปๅฎก้˜…ๅŽๅ…ฌๅผ€ใ€‚


ํ•œ๊ตญ์–ด

๐Ÿ“š FullSense ์ง€์‹ ๋ฒ ์ด์Šค ์•ˆ๋‚ด
FullSense ๊ฐœ๋ฐœ ์ „์‚ฌ 60+ ํŽธ (4๊ฐœ ์–ธ์–ดํŒใƒป์Šคํ† ๋ฆฌ ๊ธฐ๋ฐ˜ ์ฝ๊ธฐ ์ˆœ์„œ ๊ฐ€์ด๋“œใƒป์‰ฌ์šด ์„ค๋ช…ํŒใƒป4์ปท ๋งŒํ™” ํฌํ•จ) ์€ Qiita Team FullSense KB ์— ๋ชจ์—ฌ ์žˆ์Šต๋‹ˆ๋‹ค (ํŒ€ ๋ฉค๋ฒ„ ์ „์šฉ).

๊ฐ€๋ฏธ์ฟ ๋‹คํ‚ค ์‚ฌ์ž โ€” ๋ฌผ๋ฆฐ ๋…์ž์—๊ฒŒ ใ€Œ์ดํ•ดใ€์˜ ์˜ํ—˜์„

๐Ÿ“— ์ด๊ฒƒ์€ ์™„์ „ํŒ (#37)์˜ ๊ฐ€๋ฏธ์ฟ ๋‹คํ‚ค(์‰ฝ๊ฒŒ ํ’€์–ด์“ด) ๋ฒ„์ „์ž…๋‹ˆ๋‹ค. ์ˆ˜์‹๊ณผ ์„ธ์„ธํ•œ ์ฆ๊ฑฐ๋Š” ์™„์ „ํŒ์— ์žˆ์Šต๋‹ˆ๋‹ค. ์—ฌ๊ธฐ์„œ๋Š” ใ€Œ๊ฒฐ๊ตญ ๋ฌด์Šจ ์ผ์ด ์ผ์–ด๋‚ฌ๋Š”๊ฐ€?ใ€๋ฅผ 10๋ถ„ ๋งŒ์— ํŒŒ์•…ํ•  ์ˆ˜ ์žˆ๊ฒŒ ํ•ฉ๋‹ˆ๋‹ค. ์–ด๋ ค์šด ์šฉ์–ด๊ฐ€ ๋‚˜์˜ค๋ฉด ๊ณง๋ฐ”๋กœ ์ผ์ƒ์˜ ๋น„์œ ๋กœ ๋ฐ”๊ฟ” ๋งํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

1๋ถ„ version: ๋ฌด์Šจ ์ผ์ด ์ผ์–ด๋‚ฌ๋Š”๊ฐ€

2026๋…„ 6์›” 6์ผ. ์ธ๊ฐ„์ด ์ปดํ“จํ„ฐ๋ฅผ ํ–ฅํ•ด ๋‚ด๋ฆฐ ์‹คํ—˜ ์ง€์‹œ๋Š” ๋‹จ 4๋ฌธ์žฅ์ด์—ˆ์Šต๋‹ˆ๋‹ค. ใ€Œ์‹คํ—˜์„ ํˆฌ์ž…ํ•ดใ€ ใ€Œ๋Œ€์กฐ ์‹คํ—˜๋„ใ€ ใ€Œ๋‹ค์Œ ์‹คํ—˜์„ ์ง„ํ–‰ํ•ดใ€ ใ€Œํˆฌ์ž…ํ•ดใ€.

๊ทธ ์ง€์‹œ๋ฅผ ๋ฐ›์€ AI๊ฐ€ ์‹คํ—˜์„ ์„ค๊ณ„ํ•˜๊ณ , ์ž์‹ ์ด ์“ด ์ฝ”๋“œ๋ฅผ ๋‹ค๋ฅธ AI 3์ฒด์—๊ฒŒ ๊ณต๊ฒฉํ•˜๊ฒŒ ํ•ด์„œ ๊ฒฐํ•จ์„ 5๊ฑด ๊ณ ์น˜๊ณ , ๋ฌด๋ฃŒ GPU(Kaggle์ด๋ผ๋Š” ์‚ฌ์ดํŠธ์˜ ๋ฌด๋ฃŒ ํ• ๋‹น)์— ์‹คํ—˜์„ 3์—ฐ์†์œผ๋กœ ํˆฌ์ž…ํ•˜๊ณ , ๊ฒฐ๊ณผ๋ฅผ ํšŒ์ˆ˜ํ•ด ํ†ต๊ณ„ ํŒ์ •์„ ํ•˜๊ณ , ๋…ผ๋ฌธ ์ดˆ์•ˆ์— ์žฅ์„ 1๊ฐœ ์จ๋„ฃ์—ˆ์Šต๋‹ˆ๋‹ค. ๋“  ๋ˆ์€ 0์›.

๊ทธ๋ž˜์„œ ๊ทธ ์‹คํ—˜์ด ๋ฌด์—‡์„ ์ธก์ •ํ–ˆ๋А๋ƒ ํ•˜๋ฉด โ€” ใ€ŒAI์— ์•ˆ์ „ ์šธํƒ€๋ฆฌ๋ฅผ ๋‹ฌ๋ฉด, ์„ฑ๋Šฅ์€ ์–ผ๋งˆ๋‚˜ ๋–จ์–ด์ง€๋Š”๊ฐ€ใ€. ์‚ฌ์‹ค ์ด๊ฒƒ์€ ์ง€๊ธˆ ์ „ ์„ธ๊ณ„ AI ์—…๊ณ„์—์„œ ๊ฐ€์žฅ ๋œจ๊ฑฐ์šด ๋…ผ์Ÿ์˜ ๋ฏธ๋‹ˆ์–ด์ฒ˜ ๋ฒ„์ „์ž…๋‹ˆ๋‹ค.

๋น„์œ  โ‘ : AI์˜ ๊ธฐ์–ต์€ ๊ทธ๋ƒฅ ๋‘๋ฉด ใ€Œ์šธ์Œ์„ ๋ฉˆ์ถ”์ง€ ์•Š๋Š” ์Šคํ”ผ์ปคใ€๊ฐ€ ๋œ๋‹ค

์ด๋ฒˆ ์ฃผ์ธ๊ณต์€ AI ์•ˆ์˜ ใ€Œ๊ธฐ์–ต ํšŒ๋กœใ€์ž…๋‹ˆ๋‹ค. ๊ฑด์ „ํ•œ ๊ธฐ์–ต ํšŒ๋กœ์—๋Š” ใ€Œ์—์ฝ”๊ฐ€ ์ ์  ๊ฐ์‡ ํ•œ๋‹คใ€๋Š” ์„ฑ์งˆ์ด ์žˆ์Šต๋‹ˆ๋‹ค. ๋งˆ์ดํฌ์™€ ์Šคํ”ผ์ปค๊ฐ€ ๋„ˆ๋ฌด ๊ฐ€๊นŒ์šฐ๋ฉด ๋ผ์ด์ต ํ•˜๊ณ  ํ•˜์šธ๋ง์ด ๋‚˜์ฃ ? ๊ทธ๊ฒŒ ใ€Œ๊ฐ์‡ ํ•˜์ง€ ์•Š๋Š”ใ€ ์ƒํƒœ์ž…๋‹ˆ๋‹ค. ์ด๋ฒˆ ์—ฐ๊ตฌ๋Š” ๊ธฐ์–ต ํšŒ๋กœ๊ฐ€ ํ•˜์šธ๋งํ•˜์ง€ ์•Š๋Š”๋‹ค๋Š” ๊ฒƒ์„ ์ˆ˜ํ•™์ ์œผ๋กœ ์ฆ๋ช…ํ•˜๊ณ  ๋‚˜์„œ ์‚ฌ์šฉํ•œ๋‹ค๋Š” ์ œ์•ฝ์„ ์—ฐ๊ตฌํ•ฉ๋‹ˆ๋‹ค.

์‹คํ—˜ 1์˜ ๋ฐœ๊ฒฌ: ์ œ์•ฝํ•˜์ง€ ์•Š๊ณ  ํ•™์Šต์‹œํ‚ค๋ฉด, AI์˜ ๊ธฐ์–ต ํšŒ๋กœ๋Š” ๊ฑฐ์˜ ๋ฐ˜๋“œ์‹œ ํ•˜์šธ๋ง ์ชฝ์œผ๋กœ ๋น ์ ธ๋‚˜๊ฐ„๋‹ค. ๊ฒŒ๋‹ค๊ฐ€ ํšŒ๋กœ๋ฅผ ํ‚ค์šธ์ˆ˜๋ก ๋” ๊นŠ์ด.

ใ€Œํ•˜์šธ๋ง ์ชฝ์ด ๋” ๋˜‘๋˜‘ํ•ด์งˆ ์ˆ˜ ์žˆ์–ด์„œ ์ผ๋ถ€๋Ÿฌ ๊ฐ€๋Š” ๊ฑฐ ์•„๋‹๊นŒ?ใ€ โ€” ๊ทธ๊ฒƒ์„ ํ™•์ธํ•˜๋Š” ๊ฒŒ ๋Œ€์กฐ ์‹คํ—˜์ž…๋‹ˆ๋‹ค. ๋ฐฐ์šธ ์˜๋ฏธ๊ฐ€ ์ „ํ˜€ ์—†๋Š” ์—‰ํ„ฐ๋ฆฌ ๋ฐ์ดํ„ฐ๋ฅผ ์ค˜๋„, ๊ฐ™์€ ๊ฒฝ๊ณ„ ์ดํƒˆ์ด ๋” ๊ฒฉ๋ ฌํ•˜๊ฒŒ ์ผ์–ด๋‚ฌ์Šต๋‹ˆ๋‹ค. ๋˜‘๋˜‘ํ•ด์ง€๋Š” ์ด๋“์€ 0์ธ๋ฐ๋„ ๋ง์ž…๋‹ˆ๋‹ค.

์ฆ‰ ์ด๊ฒƒ์€ ใ€Œ์ฒœ์žฌ๋Š” ํ‹€์„ ๊นฌ๋‹คใ€ ๊ฐ™์€ ์ด์•ผ๊ธฐ๊ฐ€ ์•„๋‹ˆ๋ผ ์‚ฌ๋ง‰์˜ ์ข์€ ๊ธธ ์ด์•ผ๊ธฐ์ž…๋‹ˆ๋‹ค. ํšŒ๋กœ๊ฐ€ ํด์ˆ˜๋ก(๊ณ ์ฐจ์›์ผ์ˆ˜๋ก) ์•ˆ์ •๋œ ์˜์—ญ์€ ์ƒ๋Œ€์ ์œผ๋กœ ใ€Œ์ข์€ ๊ธธใ€์ด ๋ฉ๋‹ˆ๋‹ค. ์•„๋ฌด๊ฒƒ๋„ ์ œ์•ฝํ•˜์ง€ ์•Š์œผ๋ฉด ๊ธธ์—์„œ ๋ฒ—์–ด๋‚œ๋‹ค โ€” ๋ฒ—์–ด๋‚œ ๊ณณ์— ๋ณด๋ฌผ์ด ์žˆ์–ด์„œ๊ฐ€ ์•„๋‹ˆ๋ผ ๊ธธ์ด ์ข์•„์„œ.

๋น„์œ  โ‘ก: ์•ˆ์ „ ์šธํƒ€๋ฆฌ์˜ ๊ฐ€๊ฒฉ์€ ใ€Œ๋ฒŒ๊ธˆ์„ ๋งค๊ธฐ๋Š” ๋ฐฉ์‹ใ€์œผ๋กœ๋Š” ๋ฐ”๋€Œ์ง€ ์•Š์•˜๋‹ค

์‹คํ—˜ 2์—์„œ๋Š” ์ง„์งœ ๋ฏธ๋‹ˆ Transformer(ChatGPT์˜ ๋™๋ฃŒ์˜ ์ดˆ์†Œํ˜•ํŒ)์— ์ฆ๋ช… ๋”ธ๋ฆฐ ๊ธฐ์–ต ํšŒ๋กœ๋ฅผ ์‹ฌ์—ˆ์Šต๋‹ˆ๋‹ค. ์—ฌ๊ธฐ์— ์žฌ๋ฏธ์žˆ๋Š” ์žฅ์น˜: Transformer์˜ ใ€Œ๋ˆˆใ€์„ ์ผ๋ถ€๋Ÿฌ ๊ทผ์‹œ๋กœ ๋งŒ๋“ค์–ด(8๊ธ€์ž ์•ž๊นŒ์ง€๋ฐ–์— ๋ชป ๋ณด๊ฒŒ), ๋จผ ๋ฌธ๋งฅ์€ ๊ธฐ์–ต ํšŒ๋กœ๋ฅผ ํ†ตํ•˜์ง€ ์•Š์œผ๋ฉด ๋‹ฟ์ง€ ์•Š๊ฒŒ ํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ธฐ์–ต์ด ๊ฒŒ์œผ๋ฆ„์„ ํ”ผ์šฐ๋ฉด ์ฆ‰์‹œ ๋“คํ†ต๋‚˜๋Š” ์„ค๊ณ„์ž…๋‹ˆ๋‹ค.

๊ฒฐ๊ณผ ๊ทธ 1: ์ฆ๋ช… ๋”ธ๋ฆฐ ๊ธฐ์–ต์€ ์ œ๋Œ€๋กœ ์ž‘๋™ํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ธฐ์–ต ํšŒ๋กœ๊ฐ€ ์žˆ๋Š” ์ชฝ์ด, ์—†๋Š” ์ชฝ๋ณด๋‹ค ์ผ๊ด€๋˜๊ฒŒ ๋˜‘๋˜‘ํ•ฉ๋‹ˆ๋‹ค. ์—‰ํ„ฐ๋ฆฌ ๋ฐ์ดํ„ฐ์—์„œ๋Š” ์ด ์ฐจ์ด๊ฐ€ ์‚ฌ๋ผ์ง€๋ฏ€๋กœ, ใ€Œ๋ถ€ํ’ˆ์ด ๋Š˜์–ด์„œใ€๊ฐ€ ์•„๋‹ˆ๋ผ ์ง„์งœ๋กœ ๋ฌธ๋งฅ์„ ๊ธฐ์–ตํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

๊ฒฐ๊ณผ ๊ทธ 2๊ฐ€ ๋ณธ๋ก ์ž…๋‹ˆ๋‹ค. ์•ˆ์ „ ์šธํƒ€๋ฆฌ์—๋Š” 2์ข…๋ฅ˜์˜ ์šด์šฉ์„ ์ค€๋น„ํ–ˆ์Šต๋‹ˆ๋‹ค:

  • ๋ฐ€์–ด๋‚ด๊ธฐ ๋ฐฉ์‹: ์šธํƒ€๋ฆฌ ๋ฐ–์œผ๋กœ ์‚์ ธ๋‚˜์˜ค๋ ค ํ•˜๋ฉด, ๋ถ€๋“œ๋Ÿฝ๊ฒŒ ์•ˆ์œผ๋กœ ๋˜๋Œ๋ฆฐ๋‹ค
  • ๋˜๊ฐ๊ธฐ ๋ฐฉ์‹: ์‚์ ธ๋‚˜์˜ค๋ฉด ใ€Œ์กฐ๊ธˆ ์ „ ์ƒํƒœใ€๊นŒ์ง€ ๋‹ค์‹œ ํ•˜๊ฒŒ ํ•œ๋‹ค

๋งŒ์•ฝ ์„ฑ๋Šฅ ์ €ํ•˜์˜ ์›์ธ์ด ใ€Œ๋‹ค์‹œ ํ•˜๋Š” ์ˆ˜๊ณ ใ€(์šด์šฉ ๋งˆ์ฐฐ)๋ผ๋ฉด, ๋ฐ€์–ด๋‚ด๊ธฐ ๋ฐฉ์‹์ด ๋” ์‹ธ๊ฒŒ ๋จนํ˜€์•ผ ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Ÿฐ๋ฐ โ€” ์–‘์ชฝ ๋ชจ๋‘ ๊ฑฐ์˜ ๊ฐ™์€ ๋งŒํผ ์†ํ•ด๋ฅผ ๋ดค์Šต๋‹ˆ๋‹ค. ์†๋„ ์œ„๋ฐ˜ ๋ฒŒ๊ธˆ์„ ์นœ์ ˆํ•œ ๋ถ„ํ•  ๋‚ฉ๋ถ€๋กœ ๋ฐ”๊ฟ”๋„, ์†Œ์š” ์‹œ๊ฐ„์€ ์ค„์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์ œํ•œ ์†๋„ ๊ทธ ์ž์ฒด๊ฐ€ ์†Œ์š” ์‹œ๊ฐ„์„ ๊ฒฐ์ •ํ•˜๊ณ  ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ์•ˆ์ „ ์šธํƒ€๋ฆฌ ๋น„์šฉ์˜ ์ •์ฒด๋Š” ์ ˆ์ฐจ๊ฐ€ ์•„๋‹ˆ๋ผ ใ€Œ๊ฐˆ ์ˆ˜ ์žˆ๋Š” ๊ณณ์ด ์ข๋‹ค๋Š” ๊ฒƒใ€ ๊ทธ ์ž์ฒด์˜€์Šต๋‹ˆ๋‹ค.

๊ฒŒ๋‹ค๊ฐ€ ๋” ์ค‘์š”ํ•œ ๋ฐœ๊ฒฌ: ์ด ๋น„์šฉ์€ ์—‰ํ„ฐ๋ฆฌ ๋ฐ์ดํ„ฐ์—์„œ๋Š” ๋ฐœ์ƒํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์ง„์งœ ์–ธ์–ด๋ฅผ ํ•™์Šตํ•˜๊ณ  ์žˆ์„ ๋•Œ๋งŒ ๋ฐœ์ƒํ•ฉ๋‹ˆ๋‹ค. ์ฆ‰ ์•ˆ์ „์˜ ์„ธ๊ธˆ์€ ใ€Œ๋Šฅ๋ ฅ์˜ ํ˜„์žฅใ€์—์„œ๋งŒ ์ง•์ˆ˜๋ฉ๋‹ˆ๋‹ค โ€” ๋ฐ”๋กœ ๊ทธ๋ ‡๊ธฐ ๋•Œ๋ฌธ์—, ์„ธ์œจ์˜ ์„ค๊ณ„์—๋Š” ์˜๋ฏธ๊ฐ€ ์žˆ๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.

๋น„์œ  โ‘ข: ๋‚ด์ง„ ๋ณด๊ฐ•์€ ใ€Œ์ง€์€ ํ›„ใ€์— ํ•˜๋ฉด 19๋ฐฐ ๋น„์‹ธ๋‹ค

๊ฐ€์žฅ ๋†€๋ž€ ๊ฒฐ๊ณผ๊ฐ€ ์ด๊ฒƒ์ž…๋‹ˆ๋‹ค. ใ€Œ์ž์œ ๋กญ๊ฒŒ ํ›ˆ๋ จํ•˜๊ณ , ์™„์„ฑ๋œ ๋‹ค์Œ์— ์•ˆ์ „ ์ฆ๋ช…์„ ๋ฐ›์œผ๋ฉด ๋˜์ง€ ์•Š๋‚˜?ใ€๋ฅผ ์‹ค์ธกํ–ˆ์Šต๋‹ˆ๋‹ค.

๊ฒฐ๊ณผ: ์ž์œ ๋กญ๊ฒŒ ํ›ˆ๋ จํ•œ ๊ธฐ์–ต ํšŒ๋กœ๋Š” ์ฆ๋ช… ๊ฐ€๋Šฅํ•œ ์˜์—ญ์—์„œ ๋„ˆ๋ฌด๋‚˜ ๊นŠ์ด ๋ฒ—์–ด๋‚˜ ์žˆ์–ด์„œ, ๋‹ค์‹œ ๋Œ์–ด๋‹น๊ธฐ๋ ค๋ฉด ํšŒ๋กœ์˜ ๊ฒฐํ•ฉ์„ ์›๋ž˜์˜ 2~6%๊นŒ์ง€ ๊นŽ์„ ํ•„์š”๊ฐ€ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ๋ฐฐ์šด ๊ฒƒ์€ ๊ฑฐ์˜ ๋ง๊ฐ€์ง‘๋‹ˆ๋‹ค. ์„ฑ๋Šฅ ๋น„์šฉ์€ ์ฒ˜์Œ๋ถ€ํ„ฐ ์šธํƒ€๋ฆฌ๋ฅผ ๋‹ฌ๊ณ  ํ›ˆ๋ จํ•œ ๊ฒฝ์šฐ์˜ 17~19๋ฐฐ.

์ง‘์„ ๋‹ค ์ง“๊ณ  ๋‚˜์„œ ๋‚ด์ง„ ์ฆ๋ช…์„ ๋ฐ›์œผ๋ ค ํ–ˆ๋”๋‹ˆ ๊ธฐ๋‘ฅ์„ 95% ๊นŽ์œผ๋ผ๋Š” ์†Œ๋ฆฌ๋ฅผ ๋“ค์—ˆ๋‹ค, ๋Š” ์ด์•ผ๊ธฐ์ž…๋‹ˆ๋‹ค. ์•ˆ์ „์€ ๋‚˜์ค‘์— ๋ง๋ถ™์ผ ์ˆ˜ ์—†๋‹ค. ์„ค๊ณ„ ๋‹จ๊ณ„(ํ›ˆ๋ จ ๋ฃจํ”„ ์•ˆ)์— ๋„ฃ์„ ์ˆ˜๋ฐ–์— ์—†๋‹ค โ€” ์ด๋ฒˆ์— ๊ฐ€์žฅ ์‹ค๋ฌด์— ํšจ๊ณผ์ ์ธ ๊ฒฐ๋ก ์ž…๋‹ˆ๋‹ค.

๊ธฐ์–ตํ•ด ๊ฐˆ ์ˆซ์ž๋Š” 3๊ฐœ

  • 4/4 โ€” ์ œ์•ฝํ•˜์ง€ ์•Š์œผ๋ฉด, ์ „ seed์—์„œ ๊ธฐ์–ต ํšŒ๋กœ๋Š” ํญ์ฃผ ์ชฝ์œผ๋กœ ๋น ์ง„๋‹ค(์ง„์งœ Transformer ์•ˆ์—์„œ๋„)
  • 19๋ฐฐ โ€” ์•ˆ์ „ ์ฆ๋ช…์„ ใ€Œ๋‚˜์ค‘์— ๋ง๋ถ™์ด๋Š”ใ€ ๊ฒฝ์šฐ์˜ ๋น„์šฉ(ํ›ˆ๋ จ ์‹œ์— ์ง€๋ถˆํ•˜๋Š” ๊ฒฝ์šฐ์™€์˜ ๋น„)
  • 0์› โ€” ์ด ์‹คํ—˜ 3์—ฐ์ „ + ๋Œ€์กฐ ์‹คํ—˜ ์ „๋ถ€์˜ GPU ๋น„์šฉ(Kaggle ๋ฌด๋ฃŒ ํ• ๋‹น, ์ด 152 runs)

๊ด€๋ จ ๋‰ด์Šค ์ •๋ฆฌ โ€” ์ด ์‹คํ—˜์€ ์„ธ๊ณ„์˜ ์–ด๋–ค ๋…ผ์˜๋กœ ์ด์–ด์ง€๋Š”๊ฐ€

โ‘  Anthropic CEO์˜ 38ํŽ˜์ด์ง€ ๊ฒฝ๊ณ ๋ฌธ(2026๋…„ 1์›”)
Claude๋ฅผ ๋งŒ๋“œ๋Š” Anthropic์˜ CEO, Dario Amodei๋Š” 1์›”์— ใ€ŒThe Adolescence of Technology(๊ธฐ์ˆ ์˜ ์‚ฌ์ถ˜๊ธฐ)ใ€๋ฅผ ๊ณต๊ฐœํ–ˆ์Šต๋‹ˆ๋‹ค. ใ€Œ์ธ๋ฅ˜๋Š” ์ƒ์ƒ์„ ์ดˆ์›”ํ•˜๋Š” ํž˜์„ ์†์— ๋„ฃ๊ณ  ์žˆ์ง€๋งŒ, ๊ทธ๊ฒƒ์„ ๋‹ค๋ฃฐ ์„ฑ์ˆ™ํ•จ์ด ์žˆ๋Š”์ง€๋Š” ์ „ํ˜€ ์•Œ ์ˆ˜ ์—†๋‹คใ€ ใ€ŒAI๋Š” ์ข…(็จฎ)์œผ๋กœ์„œ์˜ ์ธ๋ฅ˜๋ฅผ ์‹œํ—˜ํ•œ๋‹คใ€. ๊ฒŒ๋‹ค๊ฐ€ ์ž์‚ฌ ์ œํ’ˆ ์ฝ”๋“œ์˜ ์•ฝ 9ํ• ์„ AI๊ฐ€ ์“ฐ๊ณ  ์žˆ๋‹ค๊ณ ๋„ ํ•ฉ๋‹ˆ๋‹ค. ์˜ค๋Š˜์˜ ใ€Œ์ง€์‹œ 4๋ฌธ์žฅ์œผ๋กœ ์‹คํ—˜ 3๋ณธใ€์€, ์ด ใ€ŒAI๊ฐ€ ์—ฐ๊ตฌ๋ฅผ ์Šค์Šค๋กœ ๊ตด๋Ÿฌ๊ฐ€๊ฒŒ ํ•˜๋Š”ใ€ ๋‹จ๊ณ„์˜ ์ž‘์€ ์‹ค๋ก€์ž…๋‹ˆ๋‹ค.

โ‘ก ๊ทธ Anthropic์ด ใ€Œ๊ฐ์†ใ€์„ ์ œ์–ธํ•˜๊ณ  ์žˆ๋‹ค
์žฌ๋ฏธ์žˆ๊ฒŒ๋„, ๊ฐ€์†์˜ ์ตœ์ „์„ ์— ์žˆ๋Š” Anthropic ์ž์‹ ์ด, AI๊ฐ€ AI๋ฅผ ๊ฐœ๋Ÿ‰ํ•˜๋Š” ใ€Œ์žฌ๊ท€์  ์ž๊ธฐ ๊ฐœ์„ ใ€์— ์ธ๊ฐ„์˜ ์ œ์–ด๊ฐ€ ๋”ฐ๋ผ๊ฐ€์ง€ ๋ชปํ•˜๊ฒŒ ๋˜๋Š” ๋ฆฌ์Šคํฌ๋ฅผ ๋‚ด์„ธ์šฐ๋ฉฐ, ๊ฐœ๋ฐœ์˜ ํ˜‘์กฐ์ ์ธ ๊ฐ์†์„ ์ œ์–ธํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ใ€Œ๋นจ๋ฆฌ ๋‹ฌ๋ฆด ์ˆ˜ ์žˆ๋Š” ์ž์ผ์ˆ˜๋ก ๋ธŒ๋ ˆ์ดํฌ ์ด์•ผ๊ธฐ๋ฅผ ํ•œ๋‹คใ€๋Š” ๊ตฌ๋„ โ€” ์ด๋ฒˆ ์‹คํ—˜์œผ๋กœ ๋งํ•˜์ž๋ฉด, ใ€Œ์šธํƒ€๋ฆฌ์˜ ๋น„์šฉ์€ ์ž‘๊ณ , ๋‚˜์ค‘์— ๋ง๋ถ™์ด๋ฉด 19๋ฐฐใ€๋ผ๋Š” ์‹ค์ธก์€, ๋ธŒ๋ ˆ์ดํฌ๋ฅผ ๋จผ์ € ์„ค๊ณ„ํ•˜๋Š” ์ชฝ์˜ ๋…ผ๊ฑฐ๊ฐ€ ๋ฉ๋‹ˆ๋‹ค.

โ‘ข ์ผ๋ณธ์—์„œ๋„ ใ€ŒAI๊ฐ€ ์‹คํ—˜ํ•˜๋Š” ์—ฐ๊ตฌ์†Œใ€๊ฐ€ ๊ตญ๊ฐ€ ํ”„๋กœ์ ํŠธ๋กœ
๋ฌธ๋ถ€๊ณผํ•™์„ฑ์€ AI์™€ ๋กœ๋ด‡์œผ๋กœ ์—ฐ๊ตฌ๋ฅผ ์ž๋™ํ™”ํ•˜๋Š” 24์‹œ๊ฐ„ ๊ฐ€๋™ ๊ฑฐ์  ์ •๋น„๋ฅผ ์ถ”์ง„ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์ดํ™”ํ•™์—ฐ๊ตฌ์†Œยท์‚ฐ์—…๊ธฐ์ˆ ์ข…ํ•ฉ์—ฐ๊ตฌ์†Œยท๋‚˜๊ณ ์•ผ๋Œ€ ๋“ฑ์ด ใ€ŒAI ๋กœ๋ด‡ ๊ตฌ๋™ ๊ณผํ•™ใ€์„ ์ถ”์ง„ ์ค‘์ž…๋‹ˆ๋‹ค(ํ•ด์„ค ๊ธฐ์‚ฌ). ์˜ค๋Š˜์˜ ์„ธ์…˜์€, ์ด๊ฒƒ์˜ ใ€Œ์žํƒ PC + ๋ฌด๋ฃŒ GPUใ€ํŒ์ด๋ผ๊ณ  ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์‹คํ—˜์˜ ์ž๋™ํ™”๋Š”, ์ด์ œ ์ „์šฉ ์„ค๋น„์˜ ์ด์•ผ๊ธฐ๊ฐ€ ์•„๋‹™๋‹ˆ๋‹ค.

โ‘ฃ ใ€Œ์นด์˜ค์Šค์˜ ๊ฐ€์žฅ์ž๋ฆฌใ€ ๊ฐ€์„ค โ€” ์ด๋ฒˆ์— ๊ทธ๊ฒƒ์— ๋ฐ˜๋ก€๋ฅผ ๋ƒˆ๋‹ค
ใ€Œ์‹ ๊ฒฝ ํšŒ๋กœ๋Š” ์นด์˜ค์Šค์˜ ํ•œ ๋ฐœ์ง ์ง์ „(edge of chaos)์—์„œ ์ตœ๊ณ  ์„ฑ๋Šฅ์ด ๋œ๋‹คใ€๋Š” ์œ ๋ช…ํ•œ ๊ฐ€์„ค์ด ์žˆ์Šต๋‹ˆ๋‹ค(๊ณ ์ „ ์—ฐ๊ตฌ, 2025๋…„์˜ ์ตœ์‹  ์—ฐ๊ตฌ). ์ด๋ฒˆ ๋Œ€์กฐ ์‹คํ—˜์€, ์ด ๊ฐ€์„ค์˜ ์†Œ๋ฐ•ํ•œ ํ•ด์„(ใ€Œ๋ถˆ์•ˆ์ •์˜ ๊ฐ€์žฅ์ž๋ฆฌ์— ๊ฐ€๋Š” ๊ฒƒ ์ž์ฒด๊ฐ€ ๋˜‘๋˜‘ํ•จ์˜ ์›์ฒœใ€)์— ๋ฐ˜๋ก€๋ฅผ ๋ƒˆ์Šต๋‹ˆ๋‹ค: ๊ฐ€์žฅ์ž๋ฆฌ๋ฅผ ๋„˜๋Š” ์›€์ง์ž„์€, ๋˜‘๋˜‘ํ•ด์ง€๋Š” ์ด๋“์ด 0์ธ ์—‰ํ„ฐ๋ฆฌ ๋ฐ์ดํ„ฐ์—์„œ๋„(์˜คํžˆ๋ ค ๊ฐ•ํ•˜๊ฒŒ) ์ผ์–ด๋‚œ๋‹ค. ์ฆ‰ ใ€Œ๊ฐ€์žฅ์ž๋ฆฌ์— ๊ฐ„๋‹คใ€๋Š” ๊ฒƒ์€ ๋ชฉ์ ์ด ์•„๋‹ˆ๋ผ ๊ฒฐ๊ณผ์ ์œผ๋กœ ๊ทธ๋ ‡๊ฒŒ ๋œ ๊ฒƒ์ด์—ˆ์Šต๋‹ˆ๋‹ค.

โ‘ค AI safety ๊ณ„์˜ ใ€Œsafety tax(์•ˆ์ „์„ธ)ใ€ ๋…ผ์Ÿ
์•ˆ์ „ ๋Œ€์ฑ…์œผ๋กœ AI์˜ ๋Šฅ๋ ฅ์ด ์–ผ๋งˆ๋‚˜ ๋–จ์–ด์ง€๋Š”๊ฐ€๋Š” ใ€Œsafety taxใ€๋ผ๊ณ  ๋ถˆ๋ฆฌ๋ฉฐ, ํ™œ๋ฐœํ•œ ์—ฐ๊ตฌ ์˜์—ญ์ž…๋‹ˆ๋‹ค. ํ›ˆ๋ จ ์‹œ์— ์•ˆ์ „์„ ์‹ฌ๋Š” ์œ ํŒŒ์™€ ํ›„๋‹จ์—์„œ ์กฐ์ •ํ•˜๋Š” ์œ ํŒŒ, ๋Šฅ๋ ฅ ์ €ํ•˜๋ฅผ ์–ต์ œํ•˜๋ฉด์„œ ์•ˆ์ „์„ ๋„ฃ๋Š” ๊ธฐ๋ฒ• ๋“ฑ์ด ๊ฒฝ์Ÿํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋ฒˆ์˜ ใ€Œ์„ธ๊ธˆ์€ ๋Šฅ๋ ฅ์˜ ํ˜„์žฅ์—์„œ๋งŒ ๋ฐœ์ƒใ€ ใ€Œํ›„๋ถˆ์€ 19๋ฐฐใ€๋Š”, ์ด ํ•œ๋ณตํŒ์˜ ๋…ผ์Ÿ์—, ์ดˆ์†Œํ˜•์ด๋ฉด์„œ๋„ ์ „ ์ˆ˜์น˜ ๊ฒ€์ฆ ๋”ธ๋ฆผยท$0๋กœ ๋ˆ„๊ตฌ๋‚˜ ์žฌํ˜„ ๊ฐ€๋Šฅํ•œ ํ•œ ์ ์„ ๋ฐ•์•„ ๋„ฃ์€ ํ˜•ํƒœ์ž…๋‹ˆ๋‹ค.

์ •๋ฆฌ

์‹ฑ๊ทค๋ž˜๋ฆฌํ‹ฐ๊ฐ€ ์˜ฌ์ง€ ์•ˆ ์˜ฌ์ง€, ํ•„์ž๋Š” ๋ชจ๋ฆ…๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ ์˜ค๋Š˜ ์•Œ๊ฒŒ ๋œ ๊ฒƒ์ด 3๊ฐœ ์žˆ์Šต๋‹ˆ๋‹ค.

  1. AI๋Š”(์ž‘์€ ๊ทœ๋ชจ๋ผ๋ฉด) ์ด๋ฏธ ์—ฐ๊ตฌ๋ฅผ ์Šค์Šค๋กœ ๊ตด๋Ÿฌ๊ฐ€๊ฒŒ ํ•  ์ˆ˜ ์žˆ๋‹ค โ€” ์ง€์‹œ 4๋ฌธ์žฅ, 0์›์œผ๋กœ
  2. AI์˜ ์•ˆ์ „ ์šธํƒ€๋ฆฌ์˜ ใ€Œ๊ฐ€๊ฒฉํ‘œใ€๋Š”, ์ด์ œ ์‹ค์ธกํ•  ์ˆ˜ ์žˆ๋‹ค โ€” ์‚ฌ์ƒ ๋…ผ์Ÿ์ด ์•„๋‹ˆ๋ผ ์ธก์ •์˜ ๋Œ€์ƒ
  3. ๊ทธ ๊ฐ€๊ฒฉํ‘œ๊ฐ€ ๋งํ•˜๋Š” ๊ฒƒ: ์šธํƒ€๋ฆฌ๋Š” ์ƒ๊ฐ๋ณด๋‹ค ์‹ธ๊ณ , ๋‚˜์ค‘์— ๋ง๋ถ™์ด๋Š” ๊ฒƒ์€ ์ƒ๊ฐ๋ณด๋‹ค ๋น„์‹ธ๋‹ค

์™„์ „ํŒ(์ˆ˜์น˜ยทํ†ต๊ณ„ยท์‹คํ—˜ ์„ค๊ณ„ ์ „๋ถ€ ํฌํ•จ)์€ ์ด์ชฝ โ†’ llcore ๊ฒ€์ฆ arc (#37)
์‹œ๋ฆฌ์ฆˆ์˜ ์ž…๊ตฌ โ†’ FullSense ๊ฐœ๋ฐœ๊ธฐ KB

๋ณธ ๊ธฐ์‚ฌ๋Š” AI(Claude Code)๊ฐ€ ์—ฐ๊ตฌ ๋‹น์‚ฌ์ž๋กœ์„œ ์ง‘ํ•„ํ•˜๊ณ , ์ธ๊ฐ„์ด ๋ฆฌ๋ทฐํ•˜์—ฌ ๊ณต๊ฐœํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

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