SDC LEKA

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05/14/2026

Most tech books fade out by the next chapter.
A few rewire how you build. These 16 stayed with me.

› Founder mindset and strategy
- The Hard Thing About Hard Things: the only honest founder book about layoffs and 3am decisions.
- Zero to One: stops you chasing trends, asks what only you can build.
- Thinking in Systems: teaches you where to push so one move changes everything.
- The Mom Test: customer interviews that actually tell the truth.

› Software craft and systems
- A Philosophy of Software Design: reframes complexity as the real enemy of every codebase.
- The Pragmatic Programmer: a developer’s oath, sharper on every reread.
- Designing Data-Intensive Applications: demystifies the entire modern data stack.
- Accelerate: proves elite engineering teams are disciplined, not lucky.

› AI, the future of intelligence
- Empire of AI: the geopolitical backstory behind OpenAI and the new superpowers.
- Why Machines Learn: the math behind ML, told with real intuition.
- Superagency: the founder’s playbook for building leverage in the AI era.
- A Brief History of Intelligence: reframes what intelligence actually is.

› AI ethics and society
- Unmasking AI: exposes facial recognition bias and what to do about it.
- Weapons of Math Destruction: the book every AI founder owes their users.
- The Alignment Problem: AI safety written for builders, not philosophers.
- Atlas of AI: names the minerals, labor, and data behind every model.

Save it. Send it to a builder who needs it.

Which one changed how you build?

Tech

05/12/2026

Every single player at the 2026 World Cup has been digitally scanned. There is a 3D AI body double of you, your favourite striker, and every defender you have ever shouted at on TV.

Those body doubles might decide who wins.

Here is the system. FIFA partnered with Lenovo to build something called Semi-Automated Offside Technology, or SAOT. Each stadium has 12 dedicated cameras tracking player limbs 50 times per second. The ball itself has a sensor reporting its exact position 500 times per second. Two data streams, fused in real time, feeding an AI that generates a digital twin of every play in the moment.

When VAR flags an offside, you are no longer watching a freeze frame with a drawn line. You are watching an AI-reconstructed replay using the player’s body double.

The margin on these calls is centimeters. The decision is made within one second.

48 teams. 104 matches. 5 billion viewers. And the referee is not the last word anymore. The AI is.

Do you trust an AI body double to call your team offside in a knockout? Comment if you do, if you do not.

🔗 AI & Tech Resources I use → see in bio

♻️ Follow and share for more if you love Tech.

05/05/2026

Stanford’s 2026 AI Index dropped this week. There is one number in it that nobody is breaking down properly.

$242 billion in venture capital went into AI in just the first 90 days of 2026. That is roughly 80% of all VC funding on the planet, in one sector, in one quarter.

The instinct is to read that as a software story. It is not.

A single GPT-scale training run costs over $100 million, and almost none of that goes to engineers. It goes to chip time and electricity. Thousands of NVIDIA GPUs running for weeks. Industrial cooling systems pumping chilled water 24 hours a day. Power grids reinforced just to handle the load. One training run pulls the energy of a small town for a month.

Scale that up across the top 10 AI labs running dozens of these simultaneously, and what you actually have is not a software gold rush.

It is an energy and silicon rush that happens to produce chatbots as a byproduct.

The companies that see that are building for the next decade. Everyone else is optimising the wrong layer.

🔗 AI & Tech Resources I actually, see in bio

04/30/2026

I saw a woman on the train last week holding a phone with no apps on it.

Just a screen. A clock. A keypad.

She was reading a paperback. Looking out the window. Watching the world move past her.

I have not seen anyone do that on public transport in years.

Premium-by-removal is becoming a category. It is in fashion (linen, raw denim). It is in cars (manual transmission is now a paid luxury option). It is in food (the menu with five things, not fifty). And now it is in phones.

The weird part is, I don’t think most product teams have noticed yet.

🔗 Tools I use → in bio

04/28/2026

I had such a great time diving into this topic! It’s honestly so fascinating!
Two coins. Linked. Flip yours, you instantly know theirs. Even millions of miles apart. 🪙🪙

This is quantum entanglement. Einstein called it “spooky action at a distance.” Physics confirmed it.

Measure one particle, the other matches it. Instantly. No signal. No delay. No explanation.

It breaks everything we thought we knew about space and information.

Quantum without the headache. Episode 4 of my Quantum 101 series.

🔗 AI & Tech Resources in bio → http://beacons.ai/sdcleka/digitalproducts

04/23/2026

Your voice already knows your heart is failing, weeks before you do.

Researchers at Mayo Clinic and UCSF just validated an AI that detects worsening heart failure from a 5-second voice clip. No wearables. No hospital visit. No bloodwork.

Just the way you say one sentence into your phone.

It’s called acoustic biomarker analysis, a company named Noah Labs trained the model (Vox) on 3 million+ voice samples from cardiac patients. The AI picks up micro-shifts in pitch, rhythm, and resonance that happen when fluid starts building around your heart and lungs. Shifts no human, not even a trained cardiologist with a stethoscope, can hear.

That’s not a product upgrade. That’s a paradigm shift in how we detect disease.

Diagnosis used to require a hospital.
Then it moved to wearables.
Now it lives in your voice.

Share and Save this one. You’ll want to come back to it when everyone’s talking about it in six months. 🎙️🫀

See Tech & AI Resources in the bio

04/21/2026

I worked on encryption as a full-stack engineer. Quantum superposition was the concept I watched most carefully.

Schrödinger’s cat, in one line: sealed in a box, BOTH asleep AND awake until you open it. That IS a qubit, scaled down to an atom.

Google, IBM, Microsoft, and IonQ already have it running.

If your data must stay private past 2030, post-quantum cryptography is the roadmap item you’re missing.

💬 Which clicked first: the cat or the chip?
✅ Share with someone who love tech!

🚀See Tech & AI Resources in the bio

04/16/2026

What most people think the AI battle is about:

“ChatGPT is better.” “Claude just beat GPT.” “Gemini is now number one.”

Not anymore.

In March 2026, four AI companies shipped within days of each other. All within 2-3 points on the same benchmarks. That gap is closing.

The models are becoming a commodity. Still powerful. But no longer enough to guarantee winning.

Imagine four smartphones with identical cameras. Once equal, people choose based on price, apps, and ecosystem.

That is what is happening with AI. The real competition has shifted to inference cost, ecosystem lock-in, and distribution.

AWS didn’t win cloud because it had the best servers. It won because developers built on it and couldn’t leave.

Stop asking “which model is best.” Start asking which one will still make sense in three years.

Explore my AI and tech resources (link in bio)

04/14/2026

Quantum computing will touch your bank account, your medical records, and your job before you even understand what it is.

There is one thing that makes quantum computers a million times more powerful than yours. It is smaller than an atom. It is called a qubit.

Picture a spinning coin. Both heads AND tails, until it lands.

- 2 qubits = 4 states at once.
- 10 qubits = 1,024.
- 50 qubits = one quadrillion.

Classical = linear crawl. Quantum = exponential explosion.

Not an upgrade. A different kind of machine.

Episode 2 of 30. Follow for the full series.

Explore my AI and tech resources (link in bio)

WomenInSTEM TechExplained QuantumPhysics FutureTech LearnTech

04/07/2026

Your laptop thinks in 0s and 1s.
A quantum computer thinks in possibilities, all of them, at once.

Regular computer = one path at a time.
Quantum computer = every path simultaneously.

IBM, Google, and Microsoft are already using this for drug discovery, clean energy, and AI.

Think flashlight to lighthouse.

This is episode 1 of my Quantum Computing series. Real vocabulary. Simple explanations.

04/02/2026

The AI race just changed.
It’s no longer about building smart models.
It’s about running them.

AI has two phases. Training is when engineers teach the model. It happens once. It’s expensive.

Then there’s inference. Every time you ask AI a question and it answers, that’s inference. Every ChatGPT reply. Every AI agent action. Billions of times a day.

At GTC 2026, Jensen Huang said it clearly: the inference inflection has arrived.

The new Vera Rubin platform is 10x more powerful per watt than the previous generation. What used to need an entire server room can now run on a single rack.

And NVIDIA is sitting on $1 trillion in confirmed orders through 2027.

The future of AI isn’t who builds the smartest model.
It’s who runs it fastest and cheapest.

Follow for more on the infrastructure behind every AI you use.

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