bergen, norwayvol. i · no. 20 · July 17, 2026rss feed

Hasan Arief

A lab notebook on agentic coding, open-weight models, and what they cost to run

Section

Hardware & Costs

What it actually costs to run models: GPUs, memory budgets, and the cloud-versus-local arithmetic.

Note

1M-context Opus on the $200 Max plan: what is included and what is capped

The $200 Max plan is not unlimited, Anthropic says so plainly. Yet 1M-context Opus is included, and at six concurrent agents I have yet to hit a cap.

· 3 min read

Note

The AI capex bubble, and what I am building while it lasts

Trillions committed, Nvidia the most valuable company ever, and the measured productivity gains are tiny. Notes on using the overbuild and surviving the crash.

· 4 min read

Guide

Open-weight LLMs for coding in 2026: hardware and real costs

Open-weight coding LLMs as of July 2026, GLM-5.2, Kimi K2.7, DeepSeek-V4, with the VRAM math, GPU rental prices, and when self-hosting beats an API.

· 6 min read

Note

Fable 5 versus Opus 4.8 with /goal: pricing and persistence compared

Fable 5 returned at double the price of Opus 4.8, with days-long autonomy as the headline capability. A comparison with Claude Code's /goal loop, sourced.

· 3 min read