kalau aku, lebih baik eksploitasi diri sendiri dengan sadar untuk kepentingan diri karena modal sosial dan bantalan ekonomi pas-pasan.
sekali lagi “kalau aku”.
memang di medsos ini suka ada orang nyamber dan framing negatif, diplintir buat prasangka halusinasinya sendiri.
Sebagai orang yg mostly terbiasa sendiri, bodo amat lu percaya apa ga, gue ga deket sama siapa-siapa. Chatan pun ga dan masi idup ini gue
Here's how i deal with loneliness:
1. Kenalin diri sendiri
Lo suka apa? Cari tau
2. Fokus sama bidang yang lo suka
Gue suka tech-
this is crazy...
the guy reverse-engineered his camera with Opus 5.5 into an AI object tracking device
he built it on Opus 5.5 + OpenCV and open-sourced the whole workflow
here's how it works step by step:
step 1 → connect OpenCV to Claude Code with one command:
claude mcp add opencv -- uvx opencv-mcp-server
Now Claude can read frames, detect objects and track them on its own
step 2 → Opus 5.5 reverse-engineers the camera and finds the hidden video stream the official app uses
step 3 → OpenCV pulls that stream straight from the camera at 30 frames per second
step 4 → OpenCV runs a cheap check on every frame:
did something move, is it big enough to care about? Nothing new means no expensive AI call
step 5 → only then Opus 5.5 looks at the frame and names the object, like "cat" or "person with a red bag". You can also just type what to follow
step 6 → OpenCV locks a box on the target and follows it frame by frame.
Opus re-checks every 2 seconds to make sure it's still the right object
step 7 → on the Mac a command center shows it all live: the feed with the tracking box, a confidence bar, the object's path and a log
under the hood:
→ if the tracker loses the object, Opus scans the frame and finds it again
→ if the stream drops, it reconnects and keeps the same target
→ every track is saved as a CSV with timestamps and coordinates
→ an overlay draws the box on the live video, ready for OBS
Clone his workflow below
Then read the guide on how to reverse-engineer anything with Opus 5.5 ↓
Son Dakika.
Robotik öğrenmenin en pahalı kısmı ortadan kalktı.
Bir geliştirici, Fable 5.2 ile tamamen interaktif bir “Robotik Mühendisliği” eğitim sitesi açtı.
Artık GPIO pinini öğrenmek için 500$+ başlangıç kiti almana gerek yok:
• 3D ortamda 8 gerçek kart: Arduino Uno, Raspberry Pi 4 ve diğerleri
• Hiper gerçekçi grafikler, gerçek hayattaki hareketlerle birebir
• Parça parça inşa et: Çipleri, konektörleri ve başlıkları yerleştirip lehimleyebiliyorsun
• Gerçek devreleri bağla: LED yak, sensör oku, motor çalıştır
En dikkat çekici detay: Tüm 3D modelleri Fable 5.2 kodla üretti.
Hazır 3D dosya veya fotoğraf kullanılmamış.
Ücretsiz ve kayıt gerektirmiyor.
https://t.co/8ofNOAADv0
Bu tarz projeler çoğalırsa donanım eğitimi tamamen değişir.
Data science is decided by its plots.
The KS statistic is the maximum vertical gap between two cumulative curves. SHAP assigns each feature an additive contribution to a prediction. The ROC traces true-positive against false-positive rate as the decision threshold sweeps from 0 to 1.
Elbow and silhouette mark the cluster count where within-cluster inertia flattens or average separation peaks. Bias squared declines while variance climbs with model complexity; total error reaches its minimum where the two curves balance.
Every curve is a compressed argument.
“Core Exercise” Kilat
di Rumah
Buat Para Runner
(Penting pol juga buat olahraga lain)
Inget ya gaes, bahwa Core Strength itu salah satu FONDASI di semua olahraga
👩🏻Gak ada tuh, lagi keluar sama bestienya kali
🧔🏻Yaudah aku tunggu diluar aja ya mbak, siapa tau ntar juga pulang
👩🏻udah gpp, Masuk aja dulu
👩🏻diluar panas tau
Efek psikologi yang diem-diem ngatur hidup kita;
1. Zeigarnik Effect: tugas yang kepotong cenderung lebih nempel di kepala, makanya to-do list gantung bikin kepikiran terus.
2. Spotlight Effect: kita ngerasa semua orang merhatiin kesalahan kita, padahal mereka sibuk mikirin dirinya sendiri.
3. IKEA Effect: kita lebih sayang sama hal yang kita rakit sendiri, bahkan kalo hasilnya miring.
Semoga berfaedah, yang penting yaqin.
1. skill baru : pelajari sesuatu yang baru selama 90 hari kedepan.
2. terapkan/buktikan sesuatu dari skill yang dipelajari tersebut dalam 90 hari kedepanya.
3. langkah pertama
ada spesifik target dan waktu dan kejelasan tujuan. sesuatu yang terstruktur itu bisa mengubah beberapa hal, bahkan semua hal.