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Gemini System Prompt · GitHub
https://gist.github.com/mkaramuk/44a44d83178e632ec0dd1f02186d822c
Supposedly the secret self prompt of Gemini
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AI and the Foushee/Allam race
https://www.washingtonpost.com/technology/2026/05/23/ai-industry-super-pacs-are-intervening-midterm-congressional-races/
Nida Allam, a 32-year-old Democrat, was fighting a close North Carolina primary when a barrage of ads swept in. Over five days in February, the blitz across TV, radio and social media painted the incumbent, Rep. Valerie Foushee, as a liberal crusader. “She is leading the fight to hold ICE accountable,” one ad said of Foushee, who co-chairs a Democratic House commission on artificial intelligence.
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The Future of Everything is Lies, I Guess
https://aphyr.com/posts/411-the-future-of-everything-is-lies-i-guess
Once trained, a model can be run again and again cheaply. This is called inference. Notice that many of the examples involve images, something that computers have trouble with still.
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What I Found Interesting in Claude Code's Source | Shlok Khemani
https://www.shloked.com/writing/claude-code-source-patterns
A breakdown of the most interesting engineering patterns in Claude Code's leaked source code: composable system prompts, runtime instruction injection, context compression, forking, prompt caching architecture, and more.
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LiteParse is a command-line tool that extracts text from PDF files
https://github.com/run-llama/liteparse
A fast, helpful, and open-source document parser. Contribute to run-llama/liteparse development by creating an account on GitHub.
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Apfel: The Free AI Already Built Into Your Mac - DEV Community
https://dev.to/onsen/apfel-the-free-ai-already-built-into-your-mac-1kll
Apfel: The Free AI Already Built Into Your Mac - Complete guide and honest review for 2026. Tagged with discuss, news, tech, ai.
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GitHub - ammaarreshi/gemma-chat: Local AI chat + coding agent for Apple Silicon, powered by Gemma 4 via MLX / Supports Ollama · GitHub
https://github.com/ammaarreshi/gemma-chat
Local AI chat + coding agent for Apple Silicon, powered by Gemma 4 via MLX / Supports Ollama - ammaarreshi/gemma-chat
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AI will slightly drain the swamp of higher ed.
https://www.betonit.ai/p/how-ai-will-change-higher-education
I’ve spent much of my career arguing that the main function of education is not to teach useful skills (or even useless skills), but to certify students’ employability. By and large, the reason our customers are on campus is to credibly show, or “signal,” their intelligence, work ethic, and sheer conformity. While we like to picture education as job training, it is largely a passport to the real training that happens on the job. How will AI change this? To start, we should bet against any major disruption. Sheer conformity is one of the top traits students want to signal, and doing anything radically new signals… non-conformity. Few students will stop attending traditional colleges to “go” to virtual AI training centers. And since most majors are already barely job-related, few students will rethink their majors either.
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obsidian MCP Servers and Clients
https://mcp.so/explore?q=obsidian
A list of MCP Servers and Clients with keyword: obsidian.
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Get started with Agent Skills in Gemini CLI
https://geminicli.com/docs/cli/tutorials/skills-getting-started/
Look here for help creating skills.
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GitHub - addyosmani/agent-skills: Production-grade engineering skills for AI coding agents. · GitHub
https://github.com/addyosmani/agent-skills
Production-grade engineering skills for AI coding agents. - addyosmani/agent-skills
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agent-skills/docs/opencode-setup.md at main · addyosmani/agent-skills · GitHub
https://github.com/addyosmani/agent-skills/blob/main/docs/opencode-setup.md
Production-grade engineering skills for AI coding agents. - addyosmani/agent-skills
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Good article on Agent Skills
https://addyosmani.com/blog/agent-skills/
This is additional documentation for an Agent Skill that I should look at. This may help me understand the idea of "context": "A skill is a markdown file with frontmatter that gets injected into the agent’s context when the situation calls for it." "A skill is not reference documentation. It is not “everything you should know about testing.” It is a workflow: a sequence of steps the agent follows, with checkpoints that produce evidence, ending in a defined exit criterion."
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Turn your Obsidian Canvas into a board of titles : r/ObsidianMD
https://www.reddit.com/r/ObsidianMD/comments/1t2bbg5/turn_your_obsidian_canvas_into_a_board_of_titles/
The mode I live in is Headline mode: every Canvas card collapses down to just its # H1, so the canvas becomes a map of titles instead of a wall of paragraphs. Clicking a card opens a side panel with the full content, editable inline. If I just want to read through a flow without accidentally typing into things, I flip on Read-only mode. I don't understand how the Agent creates notes, but this looks great.
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Run a 35B AI Model on Mac Mini 16GB + Live Model Swap Guide (2026)
https://thoughts.jock.pl/p/local-llm-35b-mac-mini-gemma-swap-production-2026?r=nr6w1&triedRedirect=true
Justin sent me this. This is a substantial difference between Ollama and llama.cpp: So what does --mmap do? Instead of loading the entire model file into RAM (which is what Ollama tried, and why it choked), llama.cpp memory-maps the file. The OS treats the model like a virtual address space backed by your SSD. And Gemma 4 sounds fantastic.
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(1) Coding Agent with a Self-Hosted LLM using OpenCode and vLLM - YouTube
https://www.youtube.com/watch?v=0uZpuZQi7Zs&t=48s
In this video, we build a fully self-hosted coding agent powered by the 7B parameter Qwen 2.5 Coder model, running on a GPU instance in Lambda Cloud and serv...
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OpenCode Agents in 16 Minutes
https://www.youtube.com/watch?v=WQ6xcjB-tqU&t=223s
Helps me distinguish agents, skills and commands
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Skill for kepano/obsidian-skills
https://skills.sh/kepano/obsidian-skills
Discover and install skills for AI agents.
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GitHub - hgus107/A-Long-Walk-of-AI: A narrative walk through 90 years of AI history, paper by paper. 66 chapters from Turing 1936 to Blackwell 2025. · GitHub
https://github.com/hgus107/A-Long-Walk-of-AI
A narrative walk through 90 years of AI history, paper by paper. 66 chapters from Turing 1936 to Blackwell 2025. - hgus107/A-Long-Walk-of-AI
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A pattern for building personal knowledge bases using LLMs.
https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f
The idea here is different. Instead of just retrieving from raw documents at query time, the LLM incrementally builds and maintains a persistent wiki — a structured, interlinked collection of markdown files that sits between you and the raw sources.
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Karpathy's LLM Wiki — A Synthesis
https://gist.github.com/deanjstone/98141cb836bb97c555ae9d6ce2484b5f
Karpathy's LLM Wiki — A Synthesis of notes, sources, and analysis - karpathy-llm-wiki.md
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Andrej Karpathy on X: "A few random notes from claude coding quite a bit last few weeks. Coding workflow. Given the latest lift in LLM coding capability, like many others I rapidly went from about 80% manual+autocomplete coding and 20% agents in November
https://x.com/karpathy/status/2015883857489522876
He cofounded OpenAI and is apparently very influencial.
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Claude Code + Karpathy's Obsidian = New Meta - YouTube
https://www.youtube.com/watch?v=eglVxLaWRUU
Use Obsidian as Claude Code's memory, I think. This guy, Jack Roberts, implements Karpathy's idea.
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Obsidian With Claude: The Setup I Said You Didn't Need - YouTube
https://www.youtube.com/watch?v=B35SWx_4BNM
Using ICOR's Claude system with Obsidian. About half way through it shows something that stops Claude and says how to /resume it. https://youtu.be/B35SWx_4BNM?si=REZqMTH5sdWa1XZF&t=776
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Claude just killed ALL Note-Taking Apps. Here is proof. - YouTube
https://www.youtube.com/watch?v=geIKyDaXwGg
Using an AI Agent to replace everything I do in Obsidian!
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I still prefer MCP over skills | Hacker News
https://news.ycombinator.com/item?id=47712718
discussion of the last article I bookmarked.