@ttsfashionfindss: 🤯 #summyah #shaving #shavingtips

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Saturday 02 May 2026 07:07:09 GMT
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user6327408679031
user6327408679031 :
I use flamingo hair removal
2026-05-13 11:10:27
211
yy_ssaj5
yy_ssaj :
Yesss flamingo is 100/10
2026-05-05 02:07:20
2148
061406em
Evelyn :
real af only razor i use and leaves ur shit SOFTTT
2026-05-04 21:55:22
1314
realityofgeskeez_
🕷️ :
She’s not lying I loveee that razor just be careful tho cause it is flexible 😂😭
2026-05-03 22:19:15
2798
shayacuh
shaya 🫧 :
i been using magic shave cream with oil ngl cause razors give me razor bumps bad
2026-05-10 10:57:14
142
nobia_06
Nobia❤️ :
What should I use to help get rid of razor bump scars and to prevent them??
2026-05-08 23:57:40
43
theylove.erm
𝑬𝒎𝒎❀ೃ࿔ :
SHE AINT LYING!!!!
2026-05-04 13:59:21
370
officialjomarie
🌈JoJoi🦋 :
Yall still gunna have stubbles the next day…
2026-05-10 23:44:28
21
keekiyyy
Keekiy💗 :
Just wax it!! I wax myself once a month
2026-05-14 17:43:36
9
nefoa
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀✦⠀⠀⠀ :
This is so real🥰
2026-05-03 18:20:18
274
debarney
Dev :
You don’t need to buy anything special, just shave all in one direction, exfoliate with a loofa, then repeat in the opposite direction and then repeat again (x2) going up then down. TRUSTTTT
2026-05-16 11:30:00
6
yonnaass
Yonnaa :
I love flamingo!!!! Always been the best
2026-05-04 23:41:38
71
girlystreamerclippets
Girlystreamerclippets :
Well let me add to cart 💯
2026-05-05 18:06:43
24
j3nnyboom
j3nnyboom :
Just wax😩
2026-05-06 12:28:40
7
luvvv..xlivia
luvv.xliviaa :
Why is there no comments..
2026-05-03 21:13:04
34
_itz_triss_
Adore_Triss :
Flamingo deff where it’s at💯
2026-05-05 03:24:27
20
next2luckii
next2luckii :
I LOVE FLAMINGO
2026-05-05 13:47:49
38
zurifiles
ZURIFILES :
I love flamingo . Top tier
2026-05-04 23:45:58
23
teacup6222
tr3 🧚🏽 :
I use the same shaving method and I liveeee by it but I have to try that razor 🤔
2026-05-10 13:40:52
6
username125986543
arealpsychobih :
I use bic razors 👀
2026-05-08 00:06:16
5
theeshegoat
MSHENDRIX :
Let me save this
2026-05-15 13:49:50
4
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Other Videos

The algorithm that put Apollo on the moon has a trust problem. 🚀
 
 Every tracking system—from a Car's autopilot to your phone’s GPS—uses a Kalman Filter to balance two conflicting sources of truth: a mathematical model (what we expect) and a noisy sensor (what we actually see). 
 
 It balances them using the
The algorithm that put Apollo on the moon has a trust problem. 🚀 Every tracking system—from a Car's autopilot to your phone’s GPS—uses a Kalman Filter to balance two conflicting sources of truth: a mathematical model (what we expect) and a noisy sensor (what we actually see). It balances them using the "Kalman Gain"—a dynamic trust dial. But classically, calculating this dial requires rigid, assumption-heavy math. If the real world gets messy, the math breaks. Enter KalmanNet. Instead of throwing away the physics to build an uninterpretable AI "black box," it pioneers a new paradigm: Model-Based Deep Learning. 🧠 **The Quick-Win Mental Model:** Think of KalmanNet as replacing the engine but keeping the chassis. • **Classical KF:** Explicit Math Memory (Covariance $P$) $\rightarrow$ Analytical Gain • **KalmanNet:** Learned Neural Memory (RNN state $s$) $\rightarrow$ Neural Gain *Rule of thumb: Keep the physics, learn the trust.* Want to see exactly how this works under the hood? In this week’s Substack Deep-Dive, we walk through the full academic proof. We explore the exact LaTeX derivations, the historical tension between Control Theory and Machine Learning, and how differentiable programming allows us to train this AI without ever providing a "true" label for the gain. 🔗 Read the full Deep-Dive at the link in our bio! 💬 **Question for the community:** Have you ever experienced the frustration of manually tuning the $Q$ and $R$ noise matrices in a classical Kalman filter? Let us know your worst tuning nightmares in the comments! 👇 #KalmanFilter #DeepLearning #ControlTheory #MachineLearning #Engineering

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