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Decoding how things work 💯✔️
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19/09/2026

You’re speaking from a distance and your phone is recording every word. But what is the machine actually capturing? Here’s the engineering.

Sound is air pressure waves. When you speak, your vocal cords vibrate and push surrounding air, creating compressions and rarefactions that travel toward your phone. The microphone doesn’t capture sound directly. It captures these air pressure changes.

Modern smartphones use a MEMS microphone, Micro Electro Mechanical System, sometimes just around 1 mm × 1 mm. Inside is a microscopic silicon diaphragm, like a tiny drum, with a fixed backplate forming a capacitor. When sound hits it, the diaphragm flexes slightly, changing the capacitance and producing a voltage change. Your voice becomes a continuous analog signal.

But computers understand numbers, not continuous waves. That’s where an ADC, Analog to Digital Converter, comes in. It takes rapid snapshots of the analog signal, with each snapshot called a sample, and converts the voltage at that moment into a number.

This is where the Nyquist Theorem matters. The sample rate needs to be at least twice the highest frequency you want to capture. Human hearing goes up to around 20,000 Hz, so 44,100 samples per second became a standard sampling rate for digital audio.
Your phone is essentially taking thousands of these measurements every second and turning them into numbers.

The same ADC concept that converts joystick movement in a PS5 controller can convert your voice too.

44,100 measurements per second. Each one captures a moment of the sound wave. Together, they become your digital recording.

16/09/2026

This sounds like something straight out of a sci-fi movie 🪰🧠

Scientists have mapped the brain and nervous system of an adult male fruit fly in incredible detail — more than 166,000 neurons and around 125 million connections.

And now developers are already experimenting with what can be done using this digital wiring map.

The craziest part? This is just a fruit fly. Imagine where this research could take us as we get better at understanding more complex brains.

14/09/2026

You uploaded your photo, typed “1980s style,” and ChatGPT kept your exact face while changing everything else. Here’s how it actually works.
During training, AI models saw billions of images, including lakhs of actual 1980s photos. Film grain, washed out colors, harsh flash lighting, fashion, all of these visual characteristics are mathematically encoded. CLIP converts your text “1980s style” into a vector representing those characteristics and guides the generation.

But how does it keep your exact face? Your photo is passed through an image encoder to create a face embedding, a mathematical representation of your facial features. IP Adapter injects this into the generation process as a constraint: preserve this face.

Then there’s ControlNet, which preserves the structure of your original photo, including pose, depth and edges, while the model changes the style.

So diffusion works with all three together: CLIP for style, IP Adapter for your face, and ControlNet for structure. Starting from random noise, every denoising step follows these constraints, transforming the style without losing what makes the original photo yours.

Images 2.5 takes this even further with more precise editing, allowing the model to change specific parts while keeping the rest anchored.
Same CLIP from the Google Lens reel. Same diffusion from the AI image generation reel. The difference is IP Adapter preserving your face and ControlNet preserving your structure.

12/09/2026

Runway just introduced Solaris, the first “Interface World Model.”
Instead of writing code that a browser renders, Solaris generates the interface itself, frame by frame, live, the same way AI video models generate video.

There is no HTML, CSS, or JavaScript underneath.
Every screen is generated in real time as you interact with it.

Runway’s own research shows that current AI models lose information every time a design gets converted into code.

And in a study of 250 people, people preferred Solaris’s live generated interface over a traditional coded one 71% of the time when it came to feeling natural.

It’s still early access, and stable text rendering remains one of its biggest open challenges.

But it points at a really interesting question.
What happens to software once the “code” step disappears entirely?

10/09/2026

Apple just had one of its biggest events in years 🍎

The biggest surprise was the iPhone Duo — Apple’s first-ever foldable iPhone. Alongside it, we got the new iPhone 18 Pro and 18 Pro Max with the A20 Pro chip and major camera upgrades.

Apple also introduced the new Apple Watch Series 12, Apple Watch Ultra 4 and AirPods 5, bringing upgrades across health, AI and audio.
A lot happened in one event, so here’s a quick recap of everything important Apple announced 👀

Personally, the foldable iPhone definitely stole the show. What impressed you the most?

08/09/2026

Someone sitting in their room streaming live on YouTube. Someone in another country watching it almost instantly. Here’s how that actually works.

The first problem, raw 1080p video at 30 frames per second generates around 180 MB every second. One hour would be 648 GB. Sending this over the internet in real time is impossible.

The solution is encoding, specifically H.264 compression.
Consecutive video frames have mostly the same content. The background doesn’t change, only the subject moves. So instead of sending every frame completely, you send the differences.

I Frames are complete images sent every few seconds. P Frames only contain what changed from the previous frame. B Frames reference both previous and next frames, making them even smaller.
This encoding happens on the streamer’s device continuously in real time.

Result, 180 MB per second becomes around 3 to 5 MB per second.
Encoded video travels in small chunks via RTMP, Real Time Messaging Protocol, to YouTube’s nearest ingest server. The stream key is verified, data is buffered and sent to the transcoding pipeline.
Now the real engineering.

Viewers have completely different internet speeds. Some have 100 Mbps, others are on slow 4G.

YouTube’s servers take the incoming 1080p stream and simultaneously create multiple quality versions, 1080p, 720p, 480p, 360p, all in real time.

These versions are distributed to CDN edge servers worldwide.
Watching from Mumbai? Your video can come from a nearby Mumbai edge server instead of a server in the US.

Your player continuously monitors your connection and automatically switches between quality levels. Faster internet gets higher quality, slower internet gets lower quality.

This is called Adaptive Bitrate Streaming.

❤️

04/09/2026

Dyson CameraJet: The only toothbrush with a camera and a jet, to target the gaps and remove plaque between your teeth

It’s a camera viewing, gap finding, jet washing, liquid flossing, mouthwash dispensing, technique teaching, live streaming, plaque blasting, precision cleaning toothbrush. That’s all

02/09/2026

Japan has a train that hangs below its track and has had zero derailments in 45 years. Here’s the engineering.

The foundation of the entire system is the track structure. An elevated concrete beam sits high in the air, supported by poles above the road. This beam is hollow inside with a specific cross section. The train doesn’t run on top of the beam, it runs inside it. A bogie containing wheels and motors rolls along the beam’s inner surface. Below the bogie hangs a structure with the passenger cabin suspended underneath.
Beam above. Bogie inside. Cabin below.

Three types of wheels keep the bogie stable inside the beam. Running wheels on the bottom carry the train’s full weight. Guide wheels press against the side surfaces, preventing left right movement. Stabilizing wheels on the top prevent the cabin from falling down.

Together, they completely enclose the train inside the beam. For the cabin to derail, the beam itself would have to break.
Chiba Monorail has been running since 1979 with zero derailments.
Now the most mind blowing part.

In a normal train, gravity can work against you. On curves, centrifugal force pushes the train outward, creating derailment risk.
In a suspended monorail, gravity is the friend.

The passenger cabin hangs freely below the bogie like a pendulum. On curves, centrifugal force pushes the cabin outward while gravity pulls it down. Together, the cabin naturally tilts inward, just like an airplane banking in a turn.

And the more passengers, the more weight, the stronger gravity’s pull and the more stable the system becomes.
More load in a normal train can mean more derailment risk. More load in a suspended monorail means more stability.
Completely opposite physics.

The train is literally hanging inside the track.

31/08/2026

This SD card is smaller than my thumbnail. It stores 1TB of data. No spinning disk. No moving parts. Here’s what’s actually happening inside.

Inside the plastic casing are just two things, a NAND Flash memory chip where data is stored and a controller chip that manages it. That’s it. No mechanical components whatsoever.

So how are 0s and 1s physically stored in silicon? Through billions of Floating Gate Transistors. Each transistor has a special layer called a Floating Gate, completely insulated on both sides. This floating gate can trap electrons permanently until deliberately removed. When writing data, a high voltage is applied to the control gate, creating a quantum effect called Fowler Nordheim Tunneling, electrons literally tunnel through the insulating layer and get trapped in the floating gate.
Electrons trapped, that’s “0.” Reverse voltage applied, electrons exit, floating gate empty, that’s “1.”

Reading is just as elegant. A read voltage is applied to the control gate. Floating gate empty, current flows through the channel, transistor on, “1” detected. Floating gate has electrons, trapped electrons block the current, transistor off, “0” detected.

Now how does 1TB fit in something this small? Originally one cell stored one bit. The solution, store multiple bits per cell by controlling the exact quantity of electrons trapped. Different electron quantities create different voltage levels representing different states. TLC stores 3 bits per cell across 8 electron levels. QLC stores 4 bits per cell across 16 electron levels. Billions of cells each storing 4 bits, that’s your 1TB.

But every cell can only be written a limited number of times, QLC cells just 1000 cycles. The controller solves this through wear leveling, tracking how many times each cell has been written and moving frequently written data to less used cells, distributing wear evenly across all cells, maximizing overall lifespan.

Electrons quantum tunneling through silicon.
That’s your 1TB.

28/08/2026

How does a phone vibrate? There’s actually two completely different technologies — and that’s why a budget phone and an iPhone feel completely different.

Budget and older phones use an ERM — Eccentric Rotating Mass Motor. A tiny DC motor with an unbalanced weight attached to its shaft — one side heavier than the other. When the motor spins the heavy side creates centrifugal force in one direction then the other — rapidly alternating — creating vibration. Same principle as a washing machine with unbalanced clothes — just miniaturized. But the motor needs time to spin up — slow response — and only one type of vibration is possible — generic buzz.

iPhone and Android flagships use a Linear Resonant Actuator. A permanent magnet suspended on springs inside a voice coil. The phone sends alternating current through the coil — current continuously changes direction — magnetic field changes — magnet gets pushed one way then the other — back and forth linear motion — vibration. No rotating parts. Just magnet and coil.

ERM takes 50-100 milliseconds to respond. LRA responds in 5 milliseconds. ERM can only buzz. LRA creates precise patterns — short sharp tap, long rumble, double tap — all distinctly different. iPhone’s home button doesn’t physically move — LRA creates the click sensation entirely. That’s why budget phone vibration feels like a generic buzz and flagship vibration feels like an actual physical tap.

And that magnet and coil interaction inside LRA — that’s Faraday’s Law — the same physics behind NFC card payments and Maglev train levitation. Three completely different things. One physics.

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