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mulai nerapin ini
but more like ketika mendapatkan ilmu atau insight baru dari seseorang yang bisa berdampak ke diri sendiri, ada perasaan yang gabisa dideskripsikan (I feel there is happiness of my own)
Itulah kenapa aku selalu bilang small wins itu penting. Kemenangan kecil di keseharian bisa ngaruh banget ke motivasi kita.
Dulu aku mikir harus "siap" dulu baru mulai. Harus mood bagus, harus waktunya pas, harus kepala jernih.
Hasilnya? Lebih banyak hari yg lewat tanpa ngapa2in. Terus malamnya nyesel sendiri.
Riset dari Teresa Amabile dan Steven Kramer dari Harvard udah membuktikannya melalui penelitian.
Mereka ngumpulin hampir 12.000 catatan harian dari 238 pekerja di 7 perusahaan. Tiap hari mereka nulis apa yg terjadi dan gimana perasaannya.
Ternyata hari2 yg bikin orang paling semangat bukan hari dapet pujian. Tapi hari di mana mereka ngerasa ada satu hal yg "bergerak maju."
Dan bukan sembarang kemajuan. Tapi kemajuan di hal yg "bermakna" buat mereka.
Di situ aku sadar, selama ini urutanku kebalik. Bukan semangat dulu baru jalan. Tapi jalan dulu, semangatnya nyusul.
Ada satu temuan lagi yg bikin aku makin yakin. Hari2 yg ada kemunduran ternyata efeknya ke mood lebih kuat daripada hari2 yg ada kemajuan.
Pantes satu kegagalan kecil aja bisa bikin kita ngerasa semuanya berantakan.
Makanya aku terus2an ngingetin soal small wins. Bukan buat pamer, tapi buat "ngimbangin" hari2 yg berat.
Satu paragraf skripsi. Satu soal latihan. Satu halaman bacaan.
Kelihatannya sepele, tapi itu bukti kecil kalau kamu ga se-stuck yg kamu kira.
Jadi kalau besok aku ngomongin small wins lagi, sekarang kamu tahu alasannya.
Small win kamu hari ini apa? Sekecil apa pun, ceritain di reply ya
INTERESTING
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Bagi yang pengen lebih konsisten, ini ada law-law yang works;
1. Murphy Law; semakin lo nunda, semakin berat rasanya mulai
2. Kidlin Law; kalo lo tulis target kecil hari ini, setengah pekerjaan terasa lebih ringan
3. Falkland Law; kalo lagi nggak mood, lakuin yang paling kecil dulu. Nanti ngalir
4. Wilson Law; kalo lo fokus prosesnya, hasilnya biasanya ikut dateng
Nggak harus sempurna. Yang penting mulai.
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My rule number 2 on software eng career: Get Good
Obscenely good
Not just technically
Communication
product
business
operation
politic
influence
reading the room
reading the market
taste
intuition
That you get external recognition in your pay, title, scope
Then you can negotiate everything once you’re there
Money
Time
Title
Location
Jujur kerasa pas kuliah, di smk belajar sql cuma sebatas memahami query, sedangkan di kuliah bener-bener from scratch mulai dari modeling, menentukan relasi, normalisasi dari unf sampai 3nf and then relational database (algebra and calculus). Malu coy kalo cuma sekedar tau query
kelemahan DA di indo: understand SQL as a language only but didnt understand how database works
PK-FK ga tau
index, partition, cluster ga tau
Normalization ga tau
data modeling (+lineage), apa lagi
kalo masih hidup dalam tempurung "kan itu kerjaan DE, DBA", ya susah
6
155
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roughly 2 years ago, I knew very little about ML/AI, outside of prompting sonnet 3.5 and copy pasting output into files. since then I’ve been able to pretty easily/quickly pivot to doing all sorts of ML work (mostly inference infra today).
the big secret is a lot of people in industry are just figuring things out as they go and reading the same, free, papers you have access to right now!
like seriously, go talk to them. everyone is just tinkering with ideas. sure, it helps to come from a strong math background, or a strong CS background, etc. BUT there are people I work with today that come from very untraditional backgrounds and have wonderful minds for this.
figure out what your are interested in, and do that. the rest will figure itself out. just being able to locally host models is a fantastic start.
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The way to maximize your learning:
Switch to active problem-solving immediately after consuming a minimum effective dose of information.
I know that might feel a bit jarring, like it's slowing you down.
But stopping to recall fuzzy information *isn't* actually slowing down your learning.
It's only exposing the fact that your perception of learning does not accurately reflect actual learning.
Really, it's speeding up your actual learning. The only thing it's slowing down is your perception of learning.
Now, you might say:
"But I had learned so much, and I had it down pat, and then I forgot it all when I focused my effort on solving a problem."
But the thing is:
If you can't retrieve that information
- from memory,
- at the snap of a finger,
- after thinking about other stuff or zooming in to focus on a specific problem…
It means you didn't really have it down pat.
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I beg to differ 🙏
Gak, gak worth sama sekali.
Kenapa? Karena role ini udah punah.
Tinggal gw bantu stakeholder buat connect AI mereka ke viz platform via MCP. Dah kelar. Ga butuh lg data analyst.
*True story
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Tool: transfer data through sound, including INAUDIBLE frequencies!
Use it here: chirp.hex.dance
Works offline, data not sent to any server: it’s an in-browser modem supporting frequencies between 18k and 19k Hz, which most humans can’t hear (but your cat can!)
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Okay, some time has passed. I had one idea I wanted to do for my 15th go at this, and I thought, why not make an assembly of all the themes we’ve had over the years for Bleach. So here is my take on what could have been the ending. Enjoy!
(Themes used)
- Asterisk by ORANGE RANGE (The anime version)
- Haruka Kanata by UNLIMITS
- Houkiboshi by Younha- Thank You!! by HOME MADE 家族 (Home Made Kazoku)
- Life is Like a Boat by Rie fu
#Bleach #BLEACH_anime
And now it makes it 14 and with that It comes to a close for me at least for now I hope you all enjoyed these!
Honestly it helped me cope and feel a sense of closure with saying goodbye to one of the best shows and manga's I have ever read which one of these songs in this massive thread did you prefer or was there another song you think would have fit better?
For my 14th time changing the ending song that could have played at the end of Bleach this time i picked "Alones" by Aqua Timez
#Bleach #BLEACH_anime
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