Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Without Practice, No Emergence
Search
Koichi ITO
June 26, 2023
Education
2.8k
4
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Without Practice, No Emergence
Koichi ITO
June 26, 2023
More Decks by Koichi ITO
See All by Koichi ITO
The NotImplementedError Problem in Ruby
koic
1
810
Exploring RuboCop with MCP
koic
0
5.6k
Ruby and LLM Ecosystem 2nd
koic
1
2.2k
STYLE
koic
0
2.2k
Ruby and LLM Ecosystem
koic
3
13k
Write Code Every Day
koic
1
2.6k
Bliki (ja), and the Cathedral, and the Bazaar
koic
7
3.1k
Welcome to the LLM Club
koic
0
410
RuboCop: Modularity and AST Insights
koic
3
5.8k
Other Decks in Education
See All in Education
[2026前期火5] 論理学(京都大学文学部 前期 第1回)「ハルシネーションを外部世界との対応を考えずに見分ける方法」
yatabe
0
1.1k
Catecismo 26 #1 - Aula inaugural
cm_manaus
0
180
Throw Yourself In! - How I've learned English and What I'm Facing
georgeorge
1
140
Lectura 2 (PIT : Python Basico)
robintux
0
360
Public Space Is Not For Sale
drikkes
0
110
[2026前期火5] 論理学(京都大学文学部 前期 第5回)「 ならばの問題演習・proof net・かつの規則」
yatabe
0
280
AWS Certified Generative AI Developer - Professional Beta 不合格体験記
amarelo_n24
1
360
「機械学習と因果推論」入門 ③ 漸近効率な推定量と二重機械学習
masakat0
0
690
Stardy 会社紹介資料
stardy
0
850
偶然のチャンスを掴みに行けるのは君だ!
kotomin_m
2
130
生成AIを授業の相棒にするデータサイエンス入門(「デジタル✕探究」イノベーターズフォーラム テクニカルセッション講演資料)
datascientistsociety
PRO
0
300
Info Session MSc Computer Science & MSc Applied Informatics
signer
PRO
0
290
Featured
See All Featured
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
141
35k
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
46
2.9k
Utilizing Notion as your number one productivity tool
mfonobong
4
320
VelocityConf: Rendering Performance Case Studies
addyosmani
333
25k
No one is an island. Learnings from fostering a developers community.
thoeni
21
3.8k
AI Search: Where Are We & What Can We Do About It?
aleyda
0
7.6k
Done Done
chrislema
186
16k
Data-driven link building: lessons from a $708K investment (BrightonSEO talk)
szymonslowik
1
1.1k
10 Git Anti Patterns You Should be Aware of
lemiorhan
PRO
659
62k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
49
10k
技術選定の審美眼(2025年版) / Understanding the Spiral of Technologies 2025 edition
twada
PRO
118
120k
The Myth of the Modular Monolith - Day 2 Keynote - Rails World 2024
eileencodes
28
3.5k
Transcript
ࢲͷεϥΠυ࡞ज़ Without Practice, No Emergence !LPJD
w %&ʹڞ௨͍ͯ͠Δ֎෦ͰϓϨθϯ͢Δͱ ͍͏͜ͱʹ͍ͭͯ w ಘखෆಘखΑΓΔ͔Βͳ͍͔ΛΔ ʹ͖͔͚ͬͮ͘͢Γ w զʑͷࣄͱΩϟϦΞʹ͍ͭͯܨ͕Δ ࠓͷͳ͠
IUUQTFTNDPKQFTN@QFPQMFJOTJEF ࣗݾհ શࣾ)1ΑΓ
લ࢙ ੈلʙθϩલ IUUQTFTNDPKQFTN@QFPQMFJOTJEF
ߨࢣ࣌
w ͱʹ͔͘ͷྲྀΕॏཁͰετʔϦʔΛߟ͑Δ w εϥΠυͷಡΈ্͛Ͱ͋ΕɺεϥΠυΛ ͢ΕεϐʔΧʔͷਓෆཁͱ͍͏ҙ w ͋͑ͯεϥΠυʹશ෦Λॻ͔ͣ5JQTతͳͷ ޱ಄Ͱ͑ΔͱɺࢀՃऀͷ͓ಘײΛ࡞Ε Δ ࣌ͷҹʹֶͬͨͼ
ӬೖࣾޙͷϓϨθϯػձ w 4MJEF4IBSFͷެ։εϥΠυ࡞ w 4QFBLFS%FDLͷެ։εϥΠυ࡞ w ͔ΒͷӬೖࣾपͷ ؒຖ݄ϓϨθϯ͢Δͱ͍͏اըΛͨ͠ w ࣄͰͷඇެ։ͳͲؚΊͱʹ͔͘ࢁ
w ࣄͰ͍ͯ͠Δ͜ͱϓϨθϯ͠ͳ͍ͱɺ ͋ͳͨͷࣄ୭ԿΘ͔Βͳ͍ w Φʔϓϯͳ044׆ಈʹ͓͍ͯ3VCZ,BJHJ ͰͷूେΛ·ͱΊͯ͢ w ΞδϟΠϧࣄۀ෦ͰΤϯδχΞͷٕज़ൃ ৴ͳͲͷϓϨθϯ͕Ӧۀ׆ಈ ΤϯδχΞͷࣗݾൃ৴࣌
w ίϛϡχςΟͱͷڞੜΛܝ͛Δ w 044׆ಈొஃࣗݾհΛ݉ͶΔ w ໊Βࣺͬͯͯ·͚͢ͲͶ w ։ൃऀͷإ͕ݟ͑Δ৫
ઐӦۀͷ͍ͳ͍෦ॺ
ࠓͷҰ
4PGUCBOL $SFBUJWF
Ͱ͔͍ϓϨθϯ ࢲ͋ͱ͕͖ʹνϣΠग़͖͠·ͨ͠
ߴڮϝιου IUUQXXXSVCZDPMPSPSHUBLBIBTIJ
"NB[POͰങ͑·͢😅
w εϥΠυຕ͕ଟ͍ w ޙΖͷਓͰಡΊΔϑΥϯταΠζ w ߴڮϝιου෦తʹ͏ ߴڮϝιουʹӨڹ͞Εͨࢲͷ࡞෩
εϥΠυ৬ਓͱͯ͠ͷӨڹ
Өڹ
w 1PXFS1PJOUʹͦΜͳ ៉ྷͳ ϑΥϯτ ͋ΔΜͩͶ w ,FZOPUFʹͦΜͳ ඒ͘͠ͳ͍ ϑΥϯτ ͋ΔΜͩͶ
w ϑΥϯτΛങ͏ͱ͍͏ൃ ϑΥϯτॏཁ
w େࡕʹ͋ΔߤۭձࣾͷϗςϧϥϯδͰߦ ΘΕͨॻ੶ͷήϥϋοΫͰLENTOS͞Μ͕ ײ৺͍ͯͨ͠ϑϨʔζͱهԱ ଓࢺ ͷΈͷεϥΠυ Θͳ͍
w લͷϖʔδʹͬͨεϥΠυΛ࠶දࣔ͠ ͍ͨΑ͏ͳͱ͖ɺ༧Ίίϐʔͯࠩ͠͠ࠐ ΜͰ͓͘ w ྫ͑ຕ·ͰਐΜͰ͔Βɺຕͷε ϥΠυΛදࣔ͢ΔετʔϦʔͷ߹ຕ ͷεϥΠυΛίϐʔͯ͠ຕʹೖΕΔ લͷεϥΠυʹ͞ͳ͍
w ͔ͨ͘ʹ͞Μʹڭ͑ͯΒͬͨςΫχοΫ w ͜ͷςΫχοΫ͚ͩͰεϥΠυͷ͕֨ άοͱ্͕Δ ը૾ಁաͱςΩετγϟυ
IUUQTLBLVUBOJDPNIUNMQ εϥΠυͮ͘Γͷύλʔϯީิ %SPQ:PVS-BTU4MJEFT
w ೖ೦ʹϦϋʔαϧ͢Δਓ࣮ࡍ͏·͍ w ͨͩࣗͦͷ͋ͨΓʹۈษͳਓͰͳ͍ ͷͰɺεϥΠυ࡞࣌ʹͷྲྀΕΛ܁Γฦ ͠ਪᏏͯ͠಄ʹೖΕͯऴΘΓ w ͭ·ΓϦϋ͠ͳ͍ Ϧϋʔαϧͷ༗ແ
ଟ͘ͷ࣮ྫΛΔ
w ςοΫΠϕϯτོͷݱ w 4QFBLFS%FDL4MJEF4IBSFͳͲʹΞο ϓϩʔυ͞ΕͨεϥΠυΛɺετʔϦʔ ߏσβΠϯͳͲݚڀରͱͯ͠ݟΔ w ςοΫΠϕϯτʹࢀՃͯ͠ࢁͷϓϨθϯ ΛݟΔ ΦϑϥΠϯొஃΛݟΔͷ͕͓નΊ
͍ͭͰͰ͖ΔϓϨθϯͷֶͼํ
ൃදωλ͕ͳ͍ʁ
w ࣌ؒಇ͍͍ͯͯɺԿωλ͕ͳ͍Θ͚ ͳ͍ w ΞΠσΞ͕߱Γͯ͘ΔλΠϛϯάͱൃදλΠ ϛϯάผͳͷͰɺͱʹ͔͘ࢥ͍͍ͭͨΞΠ σΞϝϞ͓ͯ͘͠ w ϝϞ͢Ε҆৺ͯ͠ΕΒΕΔCZUXBEB ωλΛετοΫ͢Δ
w ߱Γ͖ͯͨΞΠσΞͷͷߏʹ͢ɺε ϥΠυߏΛࢥ͍͍ͭͨΒϝϞΛΞοϓσʔτ ͢Δ w πʔϧ(NBJMͷԼॻ͖Ͱɺ#BTFDBNQͦ ͷଞͳΜͰྑ͍ w ϝϞͨ͠ઌΛΕͳ͍ීஈ͍ͷπʔϧ͕ྑ͍ ωλݩΛΞοϓσʔτ͢Δ
w ࢥ͍͍ͭͨߏϚʔΫμϯͳͲͰϝϞΛॻ͍ͯ ͓͘ͱɺ࣮ϓϨθϯςʔγϣϯπʔϧʹམͱ͠ࠐΉ ͱ͖ʹศར w 3BCCJULLVCVONELFZΛ͏ͱͦͷ··ຊ ൪ϓϨθϯͰ͖Δ w IUUQTHJUIVCDPNSBCCJUTIPDLFSSBCCJU w
IUUQTHJUIVCDPNLLVCVONELFZ ߏΛϝϞ͓ͯ͘͠ͱศར
ϓϩϙʔβϧهड़ ͷίπʁ
৹ࠪһ͕ϫΫϫΫ ͢ΔΑ͏ͳ༰Λ ॻ͘ͱྑ͍
εϥΠυΛ࡞Δ ͕࣌ؒͳ͍ʁ
͑Δ͕͖࣌ؒ͞ɺ ظͷௐ͋ͱ
ҰຕͰҰจ͚ͩ IUUQTLPJDIBUFOBCMPHDPNFOUSZPNPUFTBOEPSCUI w ొஃͳΒۭ͍͍ͯͨ w εϥΠυຕͰޠΕΔͷ w ಥʹ.BU[ࢀՃͷձͩͬͨ
εϥΠυͳ͠ қ͕ߴ͍
ൃද࣌ͷίπʁ
w Կਓ͔͕ൃද͢ΔܗࣜͷϓϨθϯͷ߹ʹ ɺલޙͷൃදऀɺ͋Δ͍͕ࣗҹʹ ͬͨϓϨθϯʹ͍ͭͯݴٴ͢ΔͱϥΠϒ ײ͕૿͢ w લ·Ͱ࡞͍ͬͯΔͱ͜Ε͕ͮ͠Β͍ͷ ͰɺΏͱΓ͓࣋ͬͯ͘ͷ͕͓͢͢Ί લޙͷਓͷൃදʹ৮ΕΔ
w Ή͠Ζʮ͜͜ޙͰ ͓ͯ͜͠͏ʯͱݴͬ ͓͚ͯྑ͍ w ϥΠϰͰमਖ਼͢Δͷ ͻͱͭͷख w ͪΖΜेηϧϑ ϨϏϡʔ͢Δ
UZQP͕͋ͬͯؾʹ͠ͳ͍ IUUQPCKFDUDMVCKQEPXOMPBEpMFTJQQPO"JSQEG ΠϯλϥΫςΟϒϓϨθϯςʔγϣϯύλʔϯζ
͓ΘΓʹ
ׂͷ༏ΕͨਓʹίετΛ͔͚ͨ΄͏͕ɺׂ ͷී௨ͷਓΛఈ্͛͢ΔΑΓ͕૿͑ΔͷͰ ͳ͍͔ ʮී௨ͷਓʯׂ͕͍Δ͔Βʹɺී௨ͷϗ τ͕ී௨Ҏ্ʹͳΕΔ΄͏ʹίετΛ͔͚ͨ΄ ͏͕ɺશମͱͯ͠ͷͷ૯ྔେ͖͘ͳΓ·͢ ׂׂ͔͔ ݁ͷͳ͍ ʰ͍͢͝ϓϨθϯߴڮϝιουͷຊʱϖʔδΑΓ
8JUIPVU1SBDUJDF /P&NFSHFODF मͤ͟ΕݱΘΕͣ