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GPU Optimization for GameDev

Graphics Pipeline / GPU Architecture Overview

2011 - A trip through the Graphics Pipeline 2011
2013 - Performance Optimization Guidelines and the GPU Architecture behind them
2015 - Life of a triangle - NVIDIA's logical pipeline
2015 - Render Hell 2.0
2016 - How bad are small triangles on GPU and why?
2017 - GPU Performance for Game Artists
2019 - Understanding the anatomy of GPUs using Pokémon

Pretraining

A Map for Studying Pre-training in LLMs

Data Collection
- General Text Data
- Specialized Data
Data Preprocessing
- Quality Filtering
Deduplication

Running OpenClaw Without Burning Money, Quotas, or Your Sanity

TL;DR

OpenClaw is useful, but most of the pain people run into comes from letting one model do everything, chasing hype, or running expensive models in places that don't need them.

What worked for me was treating OpenClaw like infrastructure instead of a chatbot. Keep a cheap model as the coordinator, use agents for real work, be explicit about routing, and make memory and task state visible. Cheap models handle background work fine. Strong models are powerful when you call them intentionally instead of leaving them as defaults.

You don't need expensive hardware, and you don't need to host giant local models to get value out of this. Start small, get things stable before letting it run all the time, and avoid the hype train. If something feels broken, check the official docs and issues first. OpenClaw changes fast, and sometimes it really is just a bug.

A tricky problem in Type Theory has a short satisfactory solution. To check if two potentially recursive expressions are equal, first we take the weak head normal form of both sides, without unrolling fixed points. Then, we do:

(F . G) == (G . F)
------------------- Fix=Fix case: apply T6's Theorem
μk(F k) == μk(G k)

(F Y) == Y
------------- Fix=Val case: apply T6's Theorem
μk(F k) == Y

Ralph Audit Agent Instructions (OpenAI Codex)

Safety Notice (Customize)

If this codebase is production, handles money, or touches sensitive data: treat this audit loop as a high-risk operation. Run with least privilege, avoid exporting long-lived credentials in your shell, and keep the agent in read-only mode.

This is an OPML version of the HN Popularity Contest results for 2025, for importing into RSS feed readers.

Plug: if you want to find content related to your interests from thousands of obscure blogs and noisy sources like HN Newest, check out Scour. It's a free, personalized content feed I work on where you define your interests in your own words and it ranks content based on how closely related it is to those topics.

300+ Cinematic Sora Video Prompts

Introduction to Cinematic Sora Video Prompts

Welcome to the Cinematic Sora Video Prompts tutorial! This guide is meticulously crafted to empower creators, filmmakers, and content enthusiasts to harness the full potential of Sora, an advanced AI-powered video generation tool.

By transforming textual descriptions into dynamic, visually compelling video content, Sora bridges the gap between imagination and reality, enabling the creation of professional-grade cinematic experiences without the need for extensive technical expertise.

What This Tutorial Offers

Set up /wrapup for Claude Code - pre-exit checklist, auto-rename, capture learnings

Set up /wrapup for Claude Code

Copy everything in the box below and paste it into Claude Code.

Help me set up a /wrapup command for Claude Code session management.

	#!/usr/bin/env sh

	glslc shader.vert -o vert.spv
	glslc shader.frag -o frag.spv