I met the world's first synthetic human: t.co/Z3d7Ltyfm4

In the new episode I'm breaking down the engineering behind Colossus 2 - the world's largest AI data center: t.co/kTYDfgOL1y

New episode is just dropped - don't miss this one😎 t.co/ybC4dLPlAw

New episode on the channel - very proud of this one 😎 t.co/TA4qvDcZj3

What important truth do very few people agree with you on?

💡Dojo’s Story Announced at AI Day in 2021, entered production in 2023. Over ~4 years, Tesla poured several billion dollars into it. They did some impressive stuff along the way. Most notably — innovating in packaging, cooling and SW.

Week 3 at @Stanford No time to post, barely time to breathe XD Today we had a pitch practice with a communication coach who works with top @Google execs — and one thing really stuck with me: Silence is power. We’re often quick to react/fill in pauses, but let the silence sit 😌

⁉️Why it didn’t work out Building a datacenter-class AI supercomputer from scratch is one of the most capital- and talent-intensive bets in tech. The engineers capable of pulling this off are rare — and easily poached.

6. Companies to watch: 🔹 Startups: Lightmatter, Ayar Labs, Q.ANT, LightIntelligence, Black Semiconductor 🔹 Public: Broadcom, Marvell, Lumentum (part of NVIDIA's photonics push), Cisco, POET Technologies

7. This shift won’t happen overnight — but the direction is clear. Follow @AnastasiInTech for more

Here is my breakdown of @elonmusk Terafab: t.co/JEvJi6Ipeq

More and more of the progress is now coming from system-level engineering: advanced packaging, stacking memory on top of logic, and especially interconnect innovation.

4. How photonics works — in a nutshell: At the heart of it is an optical modulator, like a Mach–Zehnder Interferometer (MZI). It encodes digital data (1s and 0s) into the intensity of light.

5. Add a DAC — and now the same device can perform analog multiplication — multiplying input light with an analog weight. That’s the basis of matrix multiply–accumulate (MAC), the core operation behind many AI workloads.

3. And here’s the bottleneck: Traditional copper interconnects are reaching their physical limits in: ❌ Bandwidth ❌ Energy efficiency ❌ Physical reach That’s where photonic interconnects come in.