Trail - Public Entries

Kibotu · 8h ago

Tactical Breach Wizards nails tactics and mechanics, but at its core it's "enter room, clear baddies" forever. Solid critique of gameplay loops: https://blog.joeyschutz.com/the-case-against-gameplay-loops/

#game-analysis #game-criticism #game-design #gameplay-loops #tactical-games

The Case Against Gameplay Loops

Recently I found myself playing Tactical Breach Wizards, the new tactics game by Tom Francis. I really liked it! I enjoy tactics games, and this one felt fresh and interesting, with good mechanical hooks and nuanced abilities. But at some point along the way, it began to feel stale to me. It was putting out a steady trickle of new powers, new mechanics, new problems, but foundationally it’s all pretty similar: you enter a room full of bad guys, then you clear the room of bad guys. I began t...

blog.joeyschutz.com

5

Kibotu · 13h ago

Claude Code eating your wallet? codeburn gives you a TUI dashboard to see exactly where your tokens go. Pretty useful for keeping tabs on AI coding costs. https://github.com/AgentSeal/codeburn

#ai-coding #claude-code #cli #cost-observability #dashboard #developer-tools #tokens #tui

GitHub - AgentSeal/codeburn: See where your AI coding tokens go. Interactive TUI dashboard for Claude Code cost observability.

See where your AI coding tokens go. Interactive TUI dashboard for Claude Code cost observability. - AgentSeal/codeburn

GitHub

6

Kibotu · 14h ago

This is wild — a full AI suite running locally on your Android phone. LLM chat, image generation, vision models, tool calling, personas, RAG, TTS/STT. No cloud, no subscriptions, and open source. https://github.com/Siddhesh2377/ToolNeuron?tab=readme-ov-file

#android #llm #on-device-ai #rag #stable-diffusion #tool-calling #tts-stt #vision-models

GitHub - Siddhesh2377/ToolNeuron: On-device AI for Android — LLM chat (GGUF/llama.cpp), vision models (VLM), image generation (Stable Diffusion), tool calling, AI personas, RAG knowledge packs, TTS/STT. Fully offline, zero subscriptions, open-source.

On-device AI for Android — LLM chat (GGUF/llama.cpp), vision models (VLM), image generation (Stable Diffusion), tool calling, AI personas, RAG knowledge packs, TTS/STT. Fully offline, zero subscrip...

GitHub

9

Kibotu · 15h ago

Building a chat UI for LLMs in React Native shouldn't be this painful. ChatterUI handles the boilerplate so you can focus on what actually matters. https://github.com/Vali-98/ChatterUI

#ai #chat #frontend #javascript #llm #mobile-app #react-native #user-interface

GitHub - Vali-98/ChatterUI: Simple frontend for LLMs built in react-native.

Simple frontend for LLMs built in react-native. Contribute to Vali-98/ChatterUI development by creating an account on GitHub.

GitHub

7

Kibotu · 1d ago

Ilya predicted AI doom, left OpenAI for safety, and now we're watching his warnings age like fine wine - https://www.reddit.com/r/singularity/s/M8c7tGbLNe

#ai-safety #artificial-intelligence #llm #machine-learning #openai #predictions #superintelligence

Why is nobody talking about these Ilya Sutskever predictions that are now visible in the hindsight

49 votes, 26 comments. Well, he left Open AI to start safe superintelligence in 2024 because maybe he saw the dangers of AI way back the anthropic…

7

Kibotu · 2d ago

Tired of hunting through AI images? Image-MetaHub is a local gallery that actually handles metadata well. Fast, privacy-first, great for big collections. Worth trying if you've got too many Stable Diffusion outputs. https://github.com/LuqP2/Image-MetaHub

#ai-generated-images #desktop-app #image-gallery #local-storage #metadata #python

GitHub - LuqP2/Image-MetaHub: A desktop application for browsing, searching, and organizing AI-generated images locally. Designed for performance with large collections, focusing on powerful metadata filtering and complete privacy.

A desktop application for browsing, searching, and organizing AI-generated images locally. Designed for performance with large collections, focusing on powerful metadata filtering and complete priv...

GitHub

14

Kibotu · 4d ago

AI agents with memory of self. Soulkiller models how personality emerges in agents over time. Fascinating research. https://github.com/yuzushi-dev/Soulkiller

#agents #artificial-intelligence #deep-learning #machine-learning #personality-modeling #python #research

GitHub - yuzushi-dev/Soulkiller: Longitudinal Personality Modeling for Reflective Agents

Longitudinal Personality Modeling for Reflective Agents - yuzushi-dev/Soulkiller

GitHub

23

Kibotu · 4d ago

Pollinations, LM Studio, Copilot CLI, OpenAI—all in one ComfyUI node suite. Prompt enhancing, image/video gen, speech synthesis. Local or cloud, mix and match. https://github.com/OvertliDS/overtli-studio-suite

#ai-generation #comfyui #image-generation #lm-studio #openai-compatible #pollinations #speech-synthesis #video-generation

GitHub - OvertliDS/overtli-studio-suite: A ComfyUI suite of nodes for Pollinations, LM Studio, Copilot CLI, and OpenAI-compatible generation with prompt enhancing, image gen, video gen, speech/audio gen, for local/cloud multi-engine workflows.

A ComfyUI suite of nodes for Pollinations, LM Studio, Copilot CLI, and OpenAI-compatible generation with prompt enhancing, image gen, video gen, speech/audio gen, for local/cloud multi-engine workf...

GitHub

25

Kibotu · 5d ago

MCP sounds great in theory. Then you notice every connection starts with 55k tokens of overhead. That's a 30x cost penalty. Token math, accuracy impact, and escape routes: https://www.mmntm.net/articles/mcp-context-tax

#ai-costs #api-design #context-management #llm #model-context-protocol #performance-optimization #token-economics

The MCP Tax: Hidden Costs of Model Context Protocol

Why MCP's 55,000-token startup cost and context-as-transport architecture creates a 30x cost penalty. Token economics, accuracy degradation, and escape routes.

MMNTM Research Team

19

Kibotu · 5d ago

why type much when type little work same? this claude code skill cuts tokens 65% by stripping the fluff. brutally practical. 🪨 https://github.com/JuliusBrussee/caveman

#ai-tool #claude-code #github #javascript #open-source #productivity #prompt-engineering #tokens

GitHub - JuliusBrussee/caveman: 🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman

🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman - JuliusBrussee/caveman

GitHub

18

Kibotu · 6d ago

We fingerprinted 178 AI models and found clone clusters. Some write identically but cost 185x more. Wild. https://www.rival.tips/research/model-similarity

#ai-models #cost-analysis #fingerprinting #llm #machine-learning #model-comparison #research

178 models fingerprinted. Clone clusters found. Some models write identically but cost 185x more.

Rival

21

Kibotu · 6d ago

Five git commands to know where a codebase hurts before reading a single line. Spoiler: git blame won't be one of them. https://piechowski.io/post/git-commands-before-reading-code/

#code-analysis #code-quality #debugging #git #software-development #technical #tutorial #version-control

The Git Commands I Run Before Reading Any Code

Five git commands that tell you where a codebase hurts before you open a single file. Churn hotspots, bus factor, bug clusters, and crisis patterns.

Ally Piechowski

17

Kibotu · 6d ago

If you like suno locally, check out https://github.com/ace-step/ACE-Step-1.5 it has a nice UI, too https://github.com/fspecii/ace-step-ui

#ai #audio #cuda #local-ai #machine-learning #music-generation #open-source #python

GitHub - ace-step/ACE-Step-1.5: The most powerful local music generation model that outperforms almost all commercial alternatives, supporting Mac, AMD, Intel, and CUDA devices.

The most powerful local music generation model that outperforms almost all commercial alternatives, supporting Mac, AMD, Intel, and CUDA devices. - ace-step/ACE-Step-1.5

GitHub

21

Kibotu · Apr 7

Not gonna lie, I've lost way too much time on these community Apple Silicon ML benchmarks. M4 Ultra numbers go crazy. https://omlx.ai/benchmarks

#apple-silicon #benchmarks #community #machine-learning #open-source #performance #python

Community Benchmarks — oMLX

Real benchmark results from oMLX users. Compare performance across Apple Silicon chips and models.

omlx.ai

26

Kibotu · Apr 7

Hold Control to talk, release to transcribe and paste. 100% local speech-to-text on macOS using WhisperKit + local LLM for cleanup. https://github.com/matthartman/ghost-pepper

#apple #local-llm #macos #productivity #speech-to-text #voice-recognition #whisper #whisperkit

GitHub - matthartman/ghost-pepper: Hold-to-talk speech-to-text for macOS. 100% local, powered by WhisperKit and local LLM cleanup. Hold Control to record, release to transcribe and paste.

Hold-to-talk speech-to-text for macOS. 100% local, powered by WhisperKit and local LLM cleanup. Hold Control to record, release to transcribe and paste. - matthartman/ghost-pepper

GitHub

20

Kibotu · Apr 7

Linear. Stripe. Vercel. Raycast. Different brands, same background color. There's a reason—the one color decision that screams "we thought about this." https://blog.stackademic.com/color-decision-premium-ui-design-d6890efe11ba

#color-theory #design-systems #premium-design #product-design #ui-design #ux-design #visual-design #web-design

The One Color Decision That Makes a UI Look Expensive

Open any product that reads as "premium." Linear. Stripe. Vercel. Raycast. Look past the brand color. Look at the backgrounds, the borders…

Medium

26

Kibotu · Apr 1

LLMs ranked by coding ability. The gap between "sounds smart" and "actually is smart" is both hilarious and useful to know. https://arena.ai/leaderboard/text/coding?viewBy=plot

#ai-models #artificial-intelligence #benchmark #coding #leaderboard #llm #machine-learning #text-models

LLM Leaderboard - Best Text & Chat AI Models Compared

Compare and explore Text models ranked by coding performance.

LLM Leaderboard - Best Text & Chat AI Models Compared

40

Kibotu · Apr 1

Some legend reverse-engineered 1,902 Claude Code files into 50 architecture lessons. Boot sequence, unreleased features, Mermaid diagrams, real code. Wild. https://www.markdown.engineering/learn-claude-code/

#ai-tools #architecture #claude-code #coding-assistant #llm #reverse-engineering #source-code #tutorial

Claude Code Source Deep Dive — Markdown Engineering

50-lesson architecture course built from 1,902 leaked Claude Code source files. Boot sequence to unreleased features, with Mermaid diagrams and real code.

Markdown Engineering

34

Kibotu · Apr 1

Ever wondered what actually goes on inside Claude Code? This site reverse-engineers the agent loop, 40+ tools, multi-agent orchestration, and unreleased features—all from source. Super useful for understanding how these AI agents tick. https://ccunpacked.dev/

#ai-agents #claude-code #cli-tools #developer-tools #multi-agent #source-code