AI
The Architecture Graphics Built The GPU exists because graphics demanded a very specific kind of silicon—hardware capable of running identical mathematical operations across massive data volumes in parallel, repeatedly, without stalling. What looked like “drawing pictures” was always a continuous si
AI
The semiconductor industry has experienced cycles of varying magnitude throughout its history. The PC era brought sustained growth. The smartphone revolution created what many called a supercycle. The cloud computing buildout extended that expansion further. What is happening now is something catego
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In mobile computing, performance is defined by the energy cost of operations. The limiting factors for modern Systems on a Chip (SoC) are thermal headroom and battery constraints, shifting the architectural focus to the infrastructure that feeds the silicon. The power delivery network (PDN) design f
AI
In the broader narrative of the AI boom, a new category of infrastructure provider has emerged, colloquially termed the “neocloud.” The economic logic of the neocloud is, at first glance, simple arbitrage: the hyperscalers (AWS, Azure, Google Cloud) are supply-constrained and expensive, creating an
AI
Today, Google announced Gemini 3 as well as a bunch of new product updates powered by Gemini 3 Pro! We’ll get into those in a moment, because I want to talk about my experience using Gemini 3 Pro, codename riftrunner, as well as Google’s new developer IDE called Antigravity! I got early access from
AI
The surge in AI infrastructure investment has reshaped the value of power in the United States. Bitcoin miners, who once optimized purely for cheap electricity and fast deployment, now find themselves in possession of something that AI operators urgently need: energized land with existing interconne
AI
The easy story is “this looks bubbly.” Spending is massive AND front-loaded, the narrative is high, and a handful of winners dominate the landscape. Hyperscaler capital spending is tracking to roughly $424B in 2025 and stepping toward ~$500B in 2026, after topping $100B in a single quarter earlier t
AI
Today is a big day, M5 Day! I say this because I believe M5 is a bigger deal than the products it’s in. That’s not to say these products are bad, quite the opposite: they are so good and have been so good for so many years that it’s hard to think of anything meaningful…
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Ariticle Summary/Thesis Every transformative technology arrives twice. First as hardware and headlines—motors, wires, GPUs, data centers—then, years later, as redesigned work that finally shows up in the productivity numbers. Electricity followed that arc. The earliest adopters simply swapped steam
AI
The Race to the Super-Agent: From Managing AI to Collaborating With It What is an agent? I open a lot of conversations with that question, especially with executives who are trying to bring agentic AI to real users. My working definition: AI agents are intelligent digital assistants that observe, re
AI
Yesterday was the iPhone launch, and it was actually a refreshing one. It was one of the first years that I think I had decently low expectations going in, but was incredibly surprised (and delighted) coming out. This is partly because for the first time in years, quite a few of the leaks, rumors, a
AI
OpenAI finally released GPT-5 last week, and there has been quite a lot of discourse on the internet about its quality. Some users have a great impression, others not so much. Some are mourning the loss of a friend, others are just happy to have a more intelligent model with free access. There is a…