Latest articles on AI, technology, and software development.
Cloud-first is giving way to edge-first. A factory floor generating 2TB/day, surgical robots needing sub-10ms response, autonomous vehicles that cannot wait for a cloud round-trip — why compute is moving back to the physical world in 2026.
AI workloads now consume electricity on a scale that is straining power grids across three continents, triggering utility partnerships, and accelerating a nuclear energy revival not seen since the 1970s.
eBPF lets engineers run verified, JIT-compiled programs inside the Linux kernel without touching kernel source or loading modules — and it is quietly powering the networking, security, and observability stacks of Meta, Cloudflare, Google, and Netflix. Here is what it does, how it works, and why it matters in 2026.
AI's power appetite has grown beyond what wind and solar can reliably deliver at scale. The technology industry's answer is an unlikely one: nuclear energy, both by reviving old plants and betting on small modular reactors still years from completion.
Two years into the $52.7 billion US semiconductor independence push, TSMC Arizona is producing 4nm chips, Intel 18A is in customer validation, and Micron is building the first US DRAM fab in 20 years. Here's the honest scorecard.
The AI boom has created an unprecedented demand for electricity that is straining power grids, reviving nuclear plants, and reshaping energy markets in ways that will outlast any individual AI model. The numbers are extraordinary — and the industry's responses reveal deep tensions between speed and sustainability.
Microsoft, Google, and Amazon have all signed nuclear power deals in the last 18 months. The AI compute buildout is consuming electricity faster than renewables can supply it, and the industry is increasingly betting that small modular reactors and restarts of dormant plants are the fastest path to reliable, carbon-free power at scale.
WebAssembly started as a way to run C++ games at near-native speed in Chrome. In 2026 it runs production workloads on Cloudflare's global network, powers plugin systems in editors and databases, executes AI inference at the edge, and is standardizing a system interface — WASI — that lets the same binary run in a browser, a server, or a microcontroller. Here is what that actually looks like.
The global internet runs on a network of around 550 fiber optic cables on the ocean floor, carrying virtually all international data traffic. Recent incidents in the Red Sea and Baltic Sea have highlighted how this critical infrastructure can be disrupted — by accident, by anchor, or by design.
What began as a manufacturing tool for simulating jet engines and assembly lines has become infrastructure for urban planning, hospital operations, and disaster response. Digital twins are growing up — and the complexity is growing with them.
AI datacenters are consuming electricity at a rate that is straining power grids and alarming climate researchers. The bottleneck is not the chips — it's moving data between them. Silicon photonics replaces copper wires with light, using up to 80% less power for data transmission. In 2026, it is moving from research labs into mass production.
Meta acquired Rivos, Qualcomm bought Ventana Micro, and RISC-V silicon is appearing in data centers and AI accelerators. After a decade of IoT dominance, the open architecture is moving to where the real compute budget lives.