# Superintelligence Buzz

> Superintelligence Buzz (https://superintelligence.buzz) is an independent publication for in-depth essays, architectural breakdowns, and philosophical inquiries into Artificial Superintelligence (ASI). Written by independent systems architects, infrastructure engineers, and cultural essayists. Explores the transition from narrow AI to artificial general intelligence (AGI) and superintelligence through the lenses of compute economics, post-training harnesses, and human cognitive autonomy.

## What is Superintelligence Buzz?
An intellectual sanctuary and technical reference for the post-scaling era of artificial intelligence. We focus on:
1. **Systems & Craft**: Inference mechanics, KV-cache geometry, Mixture-of-Experts routing, and self-improving task/verification harnesses (GRPO).
2. **Strategy & Capital**: The 36-month silicon depreciation clock, hardware amortization economics, open-weight sustainability, and total cost of ownership (TCO).
3. **Human Horizons**: Cognitive agency, epistemic trust, and the enduring craft of formulating articulate questions alongside autonomous machines.

## Foundational Guides & Pillar Topics

- [What is Artificial Superintelligence (ASI)? A Field Guide](https://superintelligence.buzz/superintelligence): The definitive reference comparing Narrow AI (ANI), Artificial General Intelligence (AGI), and Artificial Superintelligence (ASI). Analyzes the 3 structural vectors (closed-loop harness engineering, compute unit economics, and human cognitive sovereignty) with full Schema.org FAQ definitions.

## Curated Essays

- [The Co-Evolution of Task and Harness: Inside the Self-Improvement Loop](https://superintelligence.buzz/essays/the-co-evolution-of-task-and-harness): Systems breakdown by K. R. Sterling on how Ornith-1.5 breaks free from conversational post-training by co-evolving task generation, verification harnesses, and solution rollouts through closed-loop GRPO.
- [JEV-as-a-Judge: Accept When Confident, Escalate When Unsure](https://superintelligence.buzz/essays/jev-as-a-judge-system-one-evaluation): Architectural breakdown by K. R. Sterling on replacing heavyweight autoregressive LLM judges with typed System One evaluation primitives (`Noul`, `Score`, `Choice`) and two-tier confidence cascades.
- [In Praise of Quiet Intelligence: On Thinking Alongside Machines Without Losing Our Minds](https://superintelligence.buzz/essays/quiet-intelligence): Cover essay by Maya Lindqvist on why machine intelligence exposes the difference between mechanical generation and genuine reflective thought.
- [The Architecture Beneath the Hype: Why Sparse Routing and Memory Arithmetic Won the Day](https://superintelligence.buzz/essays/post-scaling-craft): Deep technical breakdown by K. R. Sterling on why scaling dense models hit an economic wall and how DeepSeek-style MoE routing works.
- [The Three-Year Silicon Clock: How to Think About AI Capital Expenditure Without Getting Burned](https://superintelligence.buzz/essays/depreciation-and-durability): Financial strategy essay by Althea Vance on navigating rapid GPU hardware depreciation.
- [The Hidden Geometry of Attention: What Happens When Context Gets Too Long](https://superintelligence.buzz/essays/kv-cache-quiet-truth): Marcus Chen's architectural analysis of KV-cache memory arithmetic and multi-head latent attention (MLA).
- [The Return of the Question: Why the Rarest Modern Skill is Articulate Curiosity](https://superintelligence.buzz/essays/the-art-of-the-question): Julian E. Ross on why formulating clear, nuanced questions becomes the primary human lever when answers are automated.

## Telemetry & Live Data

- [The Ledger](https://superintelligence.buzz/ledger): Observational model pricing telemetry (DeepSeek-V3, Llama 3.3 70B, Claude 3.5 Sonnet, GPT-4o, Gemini 1.5 Pro, Mistral Large 2), token throughput metrics, and low-bit quantization footprints (BF16, FP8, INT4, BitNet b1.58). Point-in-time community estimates—not an audited commercial warranty.
- [Daily Signals](https://superintelligence.buzz/signals): Morning 3-bullet technical distillations of frontier research and regulatory milestones, accompanied by plain-English concept translations:
  - *Compressed Attention Vectors Cut Server Memory Consumption by 90%* (2026-10-14, Systems & Craft — Multi-Head Latent Attention / MLA)
  - *Eight-Bit Floating Point Standardizes Across Production Inference* (2026-10-13, Strategy & Capital — FP8 Precision)
  - *European General-Purpose AI Compliance Timelines Formalized* (2026-10-11, Strategy & Capital — 10^25 FLOPs Thresholds)
  - *Autonomous Coding Benchmarks Evolve Beyond Single-File Synthetic Tests* (2026-10-10, Systems & Craft — Benchmark Contamination)

## Editorial & Governance

- [Authors & Contributors](https://superintelligence.buzz/authors): Biographies and backgrounds of our contributing independent writers and thinkers.
- [The Editorial Charter](https://superintelligence.buzz/charter): The guiding principles of Superintelligence Buzz, including *The Clarity Principle*: every complex technical concept must be grounded in an intuitive analogy.
- [Terms of Service](https://superintelligence.buzz/terms): Explicit legal non-reliance notices, comprehensive limitation of liability, non-journalism disclosures, and educational disclaimers.
- [Privacy Policy](https://superintelligence.buzz/privacy): Transparent explanation of our zero-ad, zero-data-selling architecture and cookieless Google Analytics telemetry.
- [RSS Syndication](https://superintelligence.buzz/rss.xml): Full-text Atom/RSS syndication feed for open reader syndication.

## Full Context Document

For comprehensive background, full author biographies, and complete publication philosophy, see [llms-full.txt](https://superintelligence.buzz/llms-full.txt).