生成AI / Generative-AI
> 18 entries logged
Benchmarking Qwen3.8-27B on a 2017 Tesla V100 32GB. 33.41 tok/s on Q4_K_XL, and a 131,072-token context fits in 25,264 MiB on one card. Plus the KV-quantization CPU fallback and why --reasoning-budget 1024 decides whether it is practical.
We benchmark Qwen 3.6 on a used Tesla V100 32GB (~$900): 98.8 tok/s on MoE 35B, great value, but prebuilt llama.cpp dropped Volta - build from source.
I ran Darkbloom, which pays you to serve AI inference on an Apple Silicon Mac, for a full day. The calculator promised $75/month, but I actually earned $0.60/day. Here's the honest profit-and-loss with GPU logs and measured power.
Hi, this is Shichinomiya-san (@shichinomiya_s). When you use AI agents like Claude Code or Cursor, one thing quietly adds up: token cost. Every time you have them read logs, return huge JSON, or ingest whole files, the context balloons and…
Hi, this is Shichinomiya-san (@shichinomiya_s). Last time I measured Headroom, which claims “95% token reduction”. This time I tested ADHD, another fast-rising project on GitHub (700+ stars in ~9 days, featured by The New Stack) — a skill for Claude…
Hi, this is Shichinomiya-san (@shichinomiya_s). Last time I tested how far you can push Qwen as a local LLM on a GTX 1080Ti. This time I ran the new Qwen 3.6 on an Apple M1 Max (64GB unified memory) and…
Hello, this is Shichinomiya (@shichinomiya_s). This time, I ran a full benchmark to see how far the latest local LLM “Qwen 3.5 9B” (released in 2026) can go on the legendary 2017 GPU: the NVIDIA GeForce GTX 1080 Ti. If…
A capstone project using Claude Code to build a complete blog system with Flask, SQLite, Markdown editing, image uploads, analytics, RSS, and SEO optimization.
Automate Email Sending with Claude Code: Fully Automating Routine Tasks. This time, we tackle email automation…
Auto-Generate PDF Reports with Claude Code! Creating polished documents from data.…
