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Ebrahim H

Verified account Architect Labs

@axi_master

co-founder @architectlabs ✶ 20
#dyodd
California, USA ebrahimhussain.com Joined December 2024
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Ebrahim H Verified account @axi_master
1 year ago, it wasn't clear AI could reliably design an adder.

With today's post, its clear that in a year, the entirety of chip design, from specification to silicon, will be automated.

We show up every day to make that dream come true.

architectlabs.com/careers
architectlabs.com Architect Labs Architect Labs builds AI systems that design and provably verify silicon for modern workloads.
Architect Labs @architectlabs Aug 27
We gave our AI system a spec, and in under 2 weeks, it designed, verified, and deployed a chip that beats NVIDIA.

It’s built for low-power physical AI workloads. We’re running live inference on >B+ parameter models like Llama, Qwen, and Kimi, serving at 3.4x better perf/watt than NVIDIA Jetson.

From just a specification, our AI system autonomously generated all of the RTL Design, UVM verification, formal proofs, firmware, drivers, and kernels, co-designing the model, software and silicon as one optimization loop.

Better AI can now design better chips to run AI, leading to a loop of recursive-self improvement towards our path to abundant intelligence.
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Ebrahim H Verified account @axi_master
🧐
Shahin Farshchi Verified account @Farshchi Aug 27
Design labor, not fab capacity, is what gates new silicon. If agents write RTL, the loop from idea -> bitstream -> running hardware collapses to something like a software release cycle.

Reconfigurable silicon stops being a compromise and becomes the fast path: you iterate architectures in days instead of committing to one for years.
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