We're building the environment where more agents, more context, and more machines turn into better work.
September 1, 2026What is recursive self-improvement in AI?
Understand recursive self-improvement: what changes, how the loop works, and how to distinguish real progress from retries or benchmark overfitting.
August 28, 2026How to use the world’s compute
A lost GPU, a slow data move, and the lesson that changed how we build workspaces: the work must outlive every machine.
August 26, 2026How we got long-running AI agent swarms to work
How we used job cards, leases, budgets, evidence, and narrow repairs to make long-running AI agent swarms work better.
August 25, 2026Hardware-level recursive self-improvement: what can you build?
Hardware-level AI self-improvement, from GPU kernels to physical tests, with a runnable experiment on why faster code may barely speed up a job.
August 19, 2026Meshia vs RunPod: do you need a GPU or a workspace?
A plain guide to Meshia and RunPod: what each tool does, where they overlap, and which one fits your next AI job.
August 18, 2026AlphaEvolve vs Darwin Gödel Machine vs OpenEvolve
Compare AlphaEvolve, Darwin Gödel Machine, and OpenEvolve by what they optimize, how they evaluate candidates, and where to start your own experiment.
August 12, 2026Meshia vs SkyPilot vs dstack vs Shadeform: which GPU tool is for you?
A visual guide to Meshia, SkyPilot, dstack, and Shadeform for teams that need GPUs across more than one cloud.
August 11, 2026How to evaluate a self-improving AI agent
Evaluate self-improving AI agents with independent graders and held-out tasks. Includes a runnable Python evaluator test and downloadable evidence.
August 5, 2026How to stop losing work when your cloud GPU shuts down
A visual guide to persistent GPU workspaces, durable files, safe stops, job recovery, and moving work between machines.
August 4, 2026Agent memory, RAG, or fine-tuning: what should you change?
Choose agent memory, retrieval, fine-tuning, or tool changes based on the failure you observe. Includes a decision table and a controlled test plan.
July 28, 2026How to budget GPU experiments and AI search loops
Estimate GPU experiment costs with an interactive calculator for trial runs, setup, final evaluation, model calls, and contingency. Includes stopping rules.
June 23, 2026Agent swarms are control planes, not group chats
The hard part is not making agents talk. It is making work ownable, observable, resumable, and bounded by real resources.
June 22, 2026How we built Meshia so an agent could operate the GPU
The product looks like chat. Underneath, we had to make cloud GPUs, files, money, failures, and evidence simple enough for an agent to reason about.
June 22, 2026A PCB audit that found the boring thermal problem
A GPU-backed pre-revision audit of the SimpleFOC Shield v3.2 found a missing DRV8313 PowerPAD thermal path and turned it into a testable ECO.