I don’t have a technical degree. I don’t have a Wall Street pedigree. A few years ago, life forced me into my own cold boot. I had to reset, rebuild, and figure out what direction I wanted to move in. I started paying closer attention to markets, AI, chips, and the infrastructure building the future. Not because I had all the answers, but because I wanted to understand where the real signal was. This page is part of that build. I’m learning in public and sharing what I see. I don’t know where this journey will lead yet. But I do know this: You don’t need an Ivy League degree to ask better questions. You don’t need a Wall Street background to spot patterns. You just need discipline, curiosity, and the patience to keep showing up. ColdBoot is my reset. Signal over noise. Let’s build.

Imagine working at a top tech company, like 'THE' top, but their toilet AI :) (sensor auto-flush) doesn't work. Every next person walks in and sees the previous person's contribution. What will you do?

The CEO sleep flex is mostly fake signal. Musk says he needs ~6 hours. Tim Cook protects ~7. Jensen reportedly gets 8 . The lesson isn’t “sleep less.” It’s that extreme output needs an energy system, not just a packed calendar.

The SpaceX IPO rumors are not just about rockets. If the reported $1.75T–$2T valuation range holds, public markets may be pricing something much bigger: launch infrastructure, Starlink distribution, satellite data, and xAI under one roof. That turns SpaceX from a transportation story into an orbital AI infrastructure story. Next stop: AI infrastructure moves from data centers to orbit.

The tool got faster. The human did not.

AI demos are cheap. Production is where the GPU bill arrives. The engineering challenge of 2026 is scaling useful AI 24/7 without blowing up the budget.

The industry is chasing benchmarks. The enterprise is chasing integration. Moving an agent from a clean demo into brownfield systems means security, governance, SAP, mainframes, data quality, and dependencies. This is where enterprise AI meets reality.

Love with no expected ROI. Respect to the mothers who helped us launch. Happy Mother's Day to my X family.

Before they became AI giants, they were something very different. NVIDIA was not born as “the AI company.” For years, most people knew it as the company behind gaming graphics. The chips that made games smoother and more realistic ended up becoming the backbone of AI training. Google started with search. But its real edge was always infrastructure. First organizing the web, then organizing global compute, then building TPUs for AI. Microsoft was the Windows and Office company. Now it sits right in the middle of AI infrastructure through Azure, OpenAI, Copilot, and data centers. OpenAI started as a research lab. ChatGPT helped move AI outside research labs and engineering teams, turning it into something people use every day. Anthropic built Claude with a different feel. Careful, long-form and reasoning-focused. Even the name points back to Claude Shannon, one of the fathers of information theory. What I find interesting is that AI did not come from one clean path. It came from gaming, search, cloud, office software, research labs, and years of infrastructure work most people never saw. That is what makes this space interesting. The next AI giant may not look obvious at the beginning.

Public ADAS benchmarks make safety tech easier to compare. That helps buyers understand which systems are actually tested, not just heavily marketed.

Casual stroll until the paint and bodywork bill shows up🙂

People are already tired of phone trees and support loops. Voice agents win when they give clearer answers, faster resolution, and fewer handoffs.

Tech is being rebuilt layer by layer. AI, inference, GPUs, cloud, data centers, robots. The signal is in how the layers connect.

AI, infrastructure, and the moves shaping tech. Cutting through the noise to bring you the signal. ColdBoot is online.