Skip to main content
← Back to BlogResearch18 min

Scaling Laws Revisited: Beyond Chinchilla

MP

Dr. Maya Patel

Chief Technology Officer

January 15, 2026

ResearchScaling LawsTraining

Our empirical findings on optimal compute allocation for dense transformers at the 1T parameter scale.

This is a placeholder article body. Connect an MDX pipeline to render real content from /src/app/blog/scaling-laws-revisited.mdx.

The design system, typography, and layout are fully wired. Swap in real content (or hook up MDX) without touching the presentational layer.

The stack

  • Next.js 15 (App Router)
  • Tailwind CSS with Silkon design tokens
  • Framer Motion for micro-interactions
  • Industrial/metallic copper + steel theme
“Rigor first. This is backed by measurement.”

Next steps

Replace the placeholder with real MDX content, or render from a CMS. The typing and styling are production-ready.

Related

25 min
Silkon 1T: Technical Report

A comprehensive deep-dive into the architecture, training methodology, and evaluation of our 1 trillion parameter flagship model.

JM

Dr. Jonas Müller

12 min
Evaluating Multilingual Capabilities at Scale

How Silkon 1T performs across 100+ languages — methodology, benchmarks, and surprising findings.

AC

Dr. Alex Chen