WARNING.... !!!
MOHON DI SHARE...
Pada hari ini Rabu 21/01/2026 terbentuk Invest Siklon Tropis 91S (16U) di Selatan NTB, Invest Siklon Tropis ini berpeluang menjadi sebuah Siklon Tropis dan pergerakanya dominan ke arah barat dan barat daya.
Dengan keberadaan Invest Siklon 91S (16U) ini akan berdampak pada naiknya Potensi Kebencanaan Hidrometeorologi, terutama untuk wilayah NTB, Bali, Jawa, Madura. kami berharap masyarakat meningkatkan kewaspadaan akan adanya kebencanaan Hidrometeorologi; Banjir, Longsor, Gelombang Tinggi, Angin Kencang dan Petir.
Update Situasi dan kondisi akan kami informasikan berkala.
berikut halnya pantau postingan kami mengenai notifikasi area potensi baik banjir maupun longsor.
Last month my intern asked for help with a Kubernetes error.
He was stuck on a YAML file.
He looked desperate.
I make $275,000 a year.
I haven't written a line of code since 2017.
I don't even know what a "pod" is.
But I didn't tell him that.
I leaned back in my Herman Miller chair.
I said, "Stop trying to code. Start prompting."
I told him to paste the error into ChatGPT.
He did.
The AI told him to delete the cluster.
He did.
Production went down instantly.
The CEO called me screaming.
I didn't panic.
I told the CEO we were "testing our disaster recovery protocols."
He was impressed by my foresight.
I got a bonus.
The intern got fired.
Innovation requires sacrifice.
Just not mine.
She dumped me last night.
Not because I don't listen.
Not because I'm always on my phone.
Not even because I forgot our anniversary (twice).
But because,
in her exact words:
"You only pay attention to the parts of what I say that you think are important."
I stared at her for a moment and realized...
She just perfectly described the attention mechanism in transformers.
Turns out I wasn't being a bad boyfriend. I was being mathematically optimal.
See, in conversations (and transformers), you don't give equal weight to every word. Some words matter more for understanding context. Attention figures out exactly HOW important each word should be.
Here's the beautiful math:
Attention(Q, K, V) = softmax(QK^T / √d_k)V
Breaking it down:
Q (Query): "What am I looking for?"
K (Key): "What info is available?"
V (Value): "What is that info?"
d_k: Key dimension (for scaling)
Think library analogy:
You have a question (Query). Books have titles (Keys) and content (Values). Attention finds which books are most relevant.
Step-by-step with "The cat sat on the mat":
Step 1: Create Q, K, VEach word → three vectors via learned matrices W_Q, W_K, W_V
For "cat":
Query: "What should I attend to when processing 'cat'?"
Key: "I am 'cat'"
Value: "Here's cat info"
Step 2: Calculate scoresQK^T = how much each word should attend to others
Processing "sat"? High similarity with "cat" (cats sit) and "mat" (where sitting happens).
Step 3: Scale by √d_kPrevents dot products from getting too large, keeps softmax balanced.
Step 4: SoftmaxConverts scores to probabilities:
"cat": 0.4 (subject)
"sat": 0.3 (action)
"mat": 0.2 (location)
"on": 0.1 (preposition)
"the": 0.1 (article)
Step 5: Weight valuesMultiply each word's value by attention weight, sum up. Now "sat" knows it's most related to "cat" and "mat".
Multi-Head Magic:Transformers do this multiple times in parallel:
Head 1: Subject-verb relationships
Head 2: Spatial ("on", "in", "under")
Head 3: Temporal ("before", "after")
Head 4: Semantic similarity
Each head learns different relationship types.
Why This Changed Everything:
Before: RNNs = reading with flashlight (one word at a time, forget the beginning)
After: Attention = floodlights on entire sentence with dimmer switches
This is why ChatGPT can:
Remember 50 messages ago
Know "it" refers to something specific
Understand "bank" = money vs river based on context
The Kicker:Models learn these patterns from data alone. Nobody programmed grammar rules. It figured out language structure just by predicting next words.
Attention is how AI learned to read between the lines.
Just like my therapist helped me understand my focus patterns, maybe understanding transformers helps us see how we decide what matters.
Now if only I could implement multi-head attention in dating... 🤖
Still waiting for "scaled dot-product listening" to be invented.
Tas & sepatu brand lokal kualitas mantap
🟡 Barang ex display, kondisi beragam
📦 Kirim juga bisa (ongkir ditanggung pembeli)
📍 Lokasi: Jakarta Barat
👀 Bisa langsung lihat & beli di tempat
#OOTDIndonesia#TasMurah#FashionLokal
WTS Tas & sepatu brand lokal kualitas mantap
🟡 Barang ex display, kondisi beragam
📦 Kirim juga bisa (ongkir ditanggung pembeli)
📍 Lokasi: Jakarta Barat 👀 Bisa langsung lihat & beli di tempat
#OOTDIndonesia#TasMurah#FashionLokal
@tithokharisma Jadi ingat tahun lalu. Dipikir satu2 aja pak. 3 bulan pertama, lanjut ke 6 bulan. Kadang harus diawasin istri, jadi target omongan dari kiri kanan soal cara asuh. Kalau ga dijaga, bisa keganggu mental istri apalagi masih harus ditempel terus sama newborn
Kakak2 minta tolong bantu up🙏 Tadi kita udah pepet mobil nya dan bantu kasih tau kucingnya kasian, tapi pas ketemu lagi kucingnya jg masih di atas mobil di container kecil 🙏🏻😭 kcg!