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파급효과 : From AI to Android Development in 2025 HyunWoo Lee GDG Korea Android Korea Android

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ഄݺ: ޖ঺੉ ߸ೞ৓חо? Chapter One Revolution: What’s new in our lives?

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AI → ഄݺ

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ੋܨ ޙݺ ߊ੹ী ૑؀ೠ ৔ೱਸ ՙ஘ 3о૑ ഄݺਸ ੌஸ਺ • ઁ 1੄ ޛѾ: ֪স ഄݺ • ઁ 2੄ ޛѾ: ࢑স ഄݺ • ઁ 3੄ ޛѾ: ੿ࠁച ഄݺ ޛѾ ੉ۿ(চ࠼ ష೒۞)

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п ޛѾ਷ ੋܨ ޙݺীࢲ “ҕә ߑध”ਸ ഄनदఅ ࢎѤ → ޛѾ੉ ૑աт ٸ݃׮ ੋܨ ޙݺ੄ ࢤઓ ߑध੉ ׳ۄ૑ѱ ؽ ޛѾ ੉ۿ(চ࠼ ష೒۞)

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࢑সഄݺ ૐӝӝҙ੄ ߊݺਵ۽ ઁಿਸ ࢤ࢑ࣘ بী ഄनਸ ઱Ҋ ҕ੢ઁ ࢤ࢑ߑधਸ ٜ݅য ੋܨ੄ ࣻਃܳ ֈযࢲח ઁಿ (੄/ध/઱)ٜਸ ࢤ࢑ೡ ࣻ ੓ѱ ؽ ੗ࠄী ੄ೠ न҅ә୓҅(ࠗܰ઱ই/ ೐܀ۨఋܻই) ఍ࢤ, ઁҴ઱੄੄ द ߊ੼ ֪সഄݺ ࣻ۵଻૘/੉઱ ӝ߈੄ ࢤઓߑधী ࢲ ੿଱ػ ష૑ীࢲ ֪ࢎܳ ૑য “ݡѢܻ”ܳ ࢤ࢑ೞৈ উ੿੸ੋ ࢤ ઓਸ ੉যաт ࣻ ੓ѱ ೣ ੋܨࢎഥ੄ ҅әઁ/ӝୡ੸ੋ ҃ઁ ѐ֛੉ ੉ܳ ӝ߈ਵ۽ ഋࢿ ٣૑ణഄݺ ੹࢑೟җ ਘ٘ ৬੉٘ ਢ(WWW)ী ӝ߈ೞৈ ੋܨо ੿ࠁܳ ࢤ࢑ೞҊ ҕਬೞח ߑध੄ ഄनਸ оೣ. ੉ܳ ӝ߈ೠ ࢑স੄ ੗زച, ޖੋചо द ੘ؽ ؀઺ٜب ࣚऔѱ ੿ࠁܳ ҕਬ߉ই ޹઱઱੄ ߊ੹ী ૒੽੸ੋ ৔ೱ, ࢜ ۽਍ ࢤഝߑध(Mobility)ী ݏח ࣻਃী ੄ೠ ҕә੉ ହ୹ؽ п ޛѾ੄ “౵әബҗ”

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AIח যڃ Ѫਸ ഄनदఃחо?

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Chapter Two 4th Industrial Revolution: What’s AI Innovating? 4ର ࢑সഄݺ: AIח ޖ঺ਸ ഄनदఃחо?

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Klaus Schwab …੉۠ ӝٜࣿ਷ ࣻभর ݺ੄ ࢎۈٜਸ ҅ࣘ೧ࢲ ਢী ো ѾೞҊ ࠺ૉפझ ߂ ઑ૒੄ ബਯࢿਸ ദӝ੸ਵ۽ ೱ࢚दఃݴ ؊ ա਷ ੗࢑ ҙܻܳ ా೧ ੗ো ജ҃ਸ ੤ࢤ࢑ೡ ࣻ ੓ח ழ׮ۆ ਫ਼੤۱ਸ о૑Ҋ ੓׮.

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AI Agent based on LLM(Large Language Model) (Gemini 2.5, o4..) Editable Location

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Mark Zuckerberg Meta/CEO “2025֙҃ীח ݫఋীࢲ ח Middle-level Engineer୊ۢ ௏٘ܳ ੘ ࢿೡ ࣻ ੓ח AIܳ ѐߊೡ Ѫੑפ׮.”

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Service based on AI Editable Location

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Service based on AI Editable Location

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• ա݅੄ ӝࣿ࠶۽Ӓܳ ٜ݅Ҋ रয, ӭՔೞҊ ࣁ۲ػ ו՝, • ӝࠄ੸ਵ۽ ׮௼ݽ٘о ഝࢿച غয੓যঠ ೞҊ ೙ਃदী ۄ੉౟ ݽ٘۽ ੹ ജೡ ࣻ ੓ח షӖ ݽ٘о ੓঻ਵݶ જѷয. • ӒܻҊ కӒ߹۽ ѱदޛٜਸ ࠅ ࣻ ੓ח ӝמٜҗ Ѩ࢝ ӝמ੉ ୶оغযঠ ೧. ѱदӖ਷ ݃௼׮਍(md)ܳ ૑ਗ೧ঠظ. • ղ ࣗѐ ಕ੉૑ܳ ٮ۽ ٜ݅঻ਵݶ જѷয. • ղ ࣗѐ ಕ੉૑ীח ੉ܴ/೐۽೙ ࢎ૓/੉۱/োۅ୊৬ ࣗ࣍޷٣য ݂ ௼/ನ౟ಫܻয় ݂௼ܳ ৢܾ ࣻ ੓যঠ ظ. ӝࣿ ࠶۽Ӓ ઁ੘ ௪ܻ

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ӝࣿ ࠶۽Ӓ ઁ੘ ௪ܻ

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• ӝמ ޷ҳഅী ؀ೠ ࣻ੿ ௪ܻ • द੘ೞח Ӗਸ ־ܰݶ ࢚ࣁ ಕ੉૑۽ ֈযоঠೞחؘ ಕ੉૑о উٜ݅য૓ Ѫ эই. ࢚ࣁಕ੉૑ীח ઁݾ੉ ݢ੷ ࠁৈ૑Ҋ Ӓ ੉റী ղਊ ӒܻҊ కӒ ஝ٜ੉ ࠁৈ૑Ҋ ؆Ӗө૑ ׳ ࣻ ੓যঠ ظ • അ੤ ѱदӖ ࢚ࣁ ಕ੉૑ীࢲ ؆Ӗ ੘ࢿ ӝמ੉ ҳഅغয੓૑ ঋҊ पઁ ؘ ੉ఠо োزغয੓૑ ঋ਷ Ѫ эই. ೧׼ ӝמٜਸ ୶о೧઻ ӝࣿ ࠶۽Ӓ ઁ੘ ௪ܻ

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௏٬ ో ഝਊ ೐۽ࣁझ Debugging ޙઁо ߊࢤೞݶ ੗زਵ۽ ী۞ܳ х ૑ ೧׼ ী۞ܳ ೧Ѿೡ ࣻ ੓ח ௏٘ ܳ ࢤࢿ/ࣻ੿ Project init ӝמ झಖ ޙࢲ/ೖӒ݃ ౵ੌ ୎ࠗೞ ৈ ೐۽ં౟ ࢤࢿ(MVP) Maintenance ӝઓ ೐۽ં౟ী ࢜۽਍ ӝמٜਸ ୶о/ࣻ੿ೞח ١੄ ਬ૑ࠁࣻب ೡ ࣻ ੓਺

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…੉۠ ӝٜࣿ਷ ࣻभর ݺ੄ ࢎۈٜਸ ҅ࣘ೧ࢲ ਢী ো ѾೞҊ ࠺ૉפझ ߂ ઑ૒੄ ബਯࢿਸ ദӝ੸ਵ۽ ೱ࢚दఃݴ ؊ ա਷ ੗࢑ ҙܻܳ ా೧ ੗ো ജ҃ਸ ੤ࢤ࢑ೡ ࣻ ੓ח ழ׮ۆ ਫ਼੤۱ਸ о૑Ҋ ੓׮.

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…੉۠ ӝٜࣿਸ ഝਊೞৈ ӝઓ ੋ۱ٜਸ AI۽ ؀୓ೞৈ ӝসٜ੄ ࠺ਊ ബਯࢿਸ ദӝ੸ਵ۽ ೱ࢚दఃݴ ؊ ա਷ ੗࢑ ҙܻܳ ా೧ ӝস੉ ׮ܲ ࠙ঠী ੗ࠄਸ ై ੗ೡࣻ ੓ب۾ ೠ׮.

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әѺ൤ ߊ੹ೞח ؘ੉ఠ ࢤ࢑ࣘب ӝਗ੹ 3,000֙ࠗఠ 5,000֙ زউ ࢤ࢑ػ ؘ੉ఠо 20 ুࢎ߄੉౟ (2ୌ݅ పۄ߄੉౟) ੉Ҋ 2000֙؀ ୡ߈ࠗఠ 2021֙ө૑ ࢤ࢑ػ ؘ੉ఠ ୨۝਷ 50 ઁఋ߄੉౟ (5݅ ুࢎ߄ ੉౟)੉׮.

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2500ߓ ؘ੉ఠ ࢤ࢑ࣘب੄ ౠ੉੼ • 20ৈ֙ زউ ࢤ࢑ػ ؘ੉ఠо 5,000 ֙р ؘ੉ఠ੄ 2,500ߓܳ ֈযࢲח Ѫ੉׮. • അ੤ ੋܨо о૓ ؘ੉ఠ੄ ড 90%ח ૑դ 10֙р ࢤ࢑ع਺ਸ ੄޷ೠ׮.

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ӝࣿ੸ ౠ੉੼ ӝࣿ੄ ೦ҳೠ оࣘ੸ ߊ੹ਵ۽ ੋ೧ ੋܨ ৉ࢎীח ೙ো੸ਵ۽ ౠ੉੼੉ ߊࢤ ೡ Ѫ੉ݴ, Ӓ റ੄ ੋܨ੄ ৉ࢎח ૑ӘԈ ੉যઉৡ Ѫҗח ੹ഃ ׮ܲ ޖ঱оо ؼ Ѫ੉׮.

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1. AIо ѐߊ੗ܳ ૓૞ ؀୓ೞח Ѣ ইקө? 2. ੿ࠁ੄ নী ౠ੉੼੉ ৡ׮ݶ ੋܨח যڌ ѱ ݆ࣻ਷ ੿ࠁٜਸ ٮۄт Ѫੋо? فо૑ ૕ޙ

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Chapter Three How can I survive in the AI era? AI ࣁ҅ীࢲ ࢓ইթӝ

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1. ߨ੸ ੉गٜ(଼੐ ࣗ੤) 2. ತࣧ੸ੋ ੿ࠁٜ AIо ݏٯڰܻח ف ೧੗

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1. Closed source ೐۽؋౟(ਬܐ SDK) 2.೐۽ં౟ ղࠗ੄ Context/بݫੋ ۽૒ ತࣧ(?)੸ੋ ੿ࠁٜ

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AIо ࢤࢿೠ ؘ੉ఠ۽ ೟णೞח ҃਋ Nࣁ؀о ૑դ ੉റ Ѿҗޛ੄ ജп ࠼ب, ؘ੉ఠ ੿೤ࢿ੉ ڄয૑ח അ࢚੉ ߊࢤ ੤ӈ੄ ੷઱(೤झࠗܰ௼ AI)

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• ѾҴ ੋр਷ AIо ٜ݅যղח ௏٘ী ؀೧ࢲ ੉೧ܳ ೡ ઴ ঌইঠ ೠ׮ • AIܳ ؊਌ ੜ ഝਊೞӝ ਤ೧ࢲۄب ѐߊ੗ٜ਷ ҅ࣘ೧ࢲ ࢜۽਍ ௏٘ ٜਸ ੘ࢿ೧ঠ݅ ೠ׮. • AIܳ ഝਊೡ ٸ ঳ਸ ࣻ ੓ח ࢤ࢑ࢿ਷ ӝࠄ੸ਵ۽ оઉоঠ ೠ׮. ੉ ࢚ടٜਸ ഝਊ೧ࠁ੗

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ѾҴূ ѐߊ੗੄ ਤ࢚਷ • ӝઓী ӝמٜਸ ੜ ѐߊೞҊ ࠄੋ੉ ੘ࢿೠ ௏٘о যڌѱ ز੘ೞח ૑ ੉೧ܳ ೞҊ ੓঻؍ ٜ࠙ ӒܻҊ ޙઁо ߊࢤ೮ਸ ٸ ਗੋਸ ଺ইղ प ࣻ ੓ח ࠙੉दۄݶ ௾ ఋѺ੉ হਸ Ѫ э਺ • ׮݅ Ӓ۞૑ ޅೞ࣑׮ݶ, AIо ੘ࢿೠ ௏٘ܳ ഝਊೡ ٸ Ӓ ௏ٜ٘ਸ ੉ ೧ܳ ೡ ࣻ ੓ח ૑ী ؀೧ࢲ झझ۽ ࢤпਸ ೞ࣊ঠ ೤פ׮. • AIо ੘ࢿೠ ௏ٜ٘਷ झझ۽ ੘ࢿೡ ઴ ই࣊ঠ ೞҊ ؊ աইо য ڌѱ ѐࢶೡ ࣻ ੓ח ૑, ࢎ੉٘ ੉ಖ౟о ա૑ח ঋח૑ө૑ ࢤп ਸ ೞप ઴ ই࣊ঠ ೤פ׮.

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ߧۈೞח ੿ࠁ੄ әܨܳ ఋҊ ૞݁ೠ ѐߊ ৈ੿ਸ ٜ݅য աт ࣻ ੓ب۾

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Index Reference

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• ઁ 3੄ ޛѾ, চ࠼ ష೒۞ • ௿ۄ਋झ गߏ੄ ઁ 4ର ࢑সഄݺ, ௿ۄ਋झ गߏ • Lovable • [ݽفܳ ਤೠ ੋҕ૑מ] 5. ਋ܻীѱ ‘ؘ੉ఠ’ח যڃ ੄޷ੋо • The curse of recursion: Training on Generated Data Makes Models Forget Reference

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Thank You HyunWoo Lee Viva Republica(Toss) Korea Android