Slazenger
3.1K posts
My leader @ImranKhanPTI sits in jail with his health in jeopardy. His imprisonment weighs on us every day. But I know him well enough to say this: He would want Pakistan's young people to keep building, to take on the world. Especially in AI. Especially now, without losing sight of the political struggle, which we will not abandon. This thread is for them 🧵 — Forced to stay away from my country gave me two benefits: More time and more passion. I chose not to waste either. This is a personal account: It started with my need to transcribe my long speeches, some over thirty minutes, in mixed English and Urdu on YouTube (which gave a Hindi/Sanskrit transcript). The platforms available would do a bad job with the mix. So, I asked my coaches — ChatGPT, Claude & Gemini and I concluded to do it myself, locally, with Whisper’s large, medium & small models and other AI tools. This was completed in Dec ‘25 For the sake of open source and transparency, I am publishing it on GitHub. github.com/DrArifAlvi/you… In January ’26, I began building the Dr Arif Alvi AI Archive. An attempt to bring together everything I had said, written, read, and recorded across decades, and make it searchable, synthesizable, MINE. I built it alone. No team. No budget. Just time, curiosity, and persistence. It runs entirely on my enhanced laptop. My data never leaves it. My AI agents ingest my writings/articles; thousands of books read and summarised; millions of words of archival material; my thousands of speeches on YouTube press conferences; thousands of talk show appearances since 2000 and clips on YouTube. All scraped from the net via APIs— indexed, and alive inside my local RAG (Retrieval Augmented Generation) system that answers back. My 50,000+ tweets are searchable faster than X's own tools. Not just by keyword but semantically. None of it leaves my computer or enters the public domain, remains private. — The local LLMs answer questions, draft research briefs, synthesize across all data. When I need to reach beyond my own archive, they augment from public LLMs — ChatGPT, Claude, DeepSeek, others. I use the archive every day, updating it regularly. It has changed how I think and work. — Following are the layers of the stack — what I built is one-of-one. But what I built it from is available to every-one: ▶️ Ollama / Llama / Phi / Qwen — local LLMs running entirely on-device ▶️ Whisper — bilingual English-Urdu speech transcription ▶️ ChromaDB — vector memory across 70,000+ chunks ▶️ Sentence Transformers — semantic search across tweets, speeches, and archives ▶️ Streamlit — dashboard with dual modes: semantic search and AI research ▶️ Six LLM interfaces (ChatGPT, Claude, DeepSeek, Gemini, Perplexity, Copilot) for python scripts and for augmentation of local output ▶️ OpenClaw and GitHub — for code management ▶️VS Code — for scripts and code writing None of them are mine. The COMPOSITION is mine. — I should tell you what it took to get here. I started learning Python basics from online courses. I am not a programmer, but I reviewed and iterated over a million lines of scripts —learning, correcting, improving, understanding—just enough to keep going. I had launched Pakistan's Presidential Initiative on Artificial Intelligence in 2019. I thought I understood AI but I took advanced courses anyway. There is always more to learn, and humility about ignorance is not a weakness. It is the only honest starting point. — There are tens of thousands of students, researchers, operators, lawyers, and doctors across Pakistan and the world, quietly trying to dabble in AI right now. To them I would say: software writing is mostly done by machines today. You do not need to become a programmer. You need to understand enough to read, direct, correct and employ tools — like a symphony conductor, with an AI baton. More than anything, pick a project. Something real, something yours.🔑 Scripts fill the architecture. Concrete fills the blueprint. GET TO WORK And do not move slowly. AI tools and agentic systems are changing every single day. What was remarkable yesterday is ordinary today. Sometimes the gap is hours, not months. The people who stay ahead are not waiting to fully understand it before they begin. THEY ARE ALREADY BUILDING. — Pakistan cannot afford to fall behind in this. Not out of nostalgia for what Pakistan was, but out of economic and strategic urgency for what it must become — because our talented, hungry people can build anything when given the tools and the leadership. This is for them. START
My leader @ImranKhanPTI sits in jail with his health in jeopardy. His imprisonment weighs on us every day. But I know him well enough to say this: He would want Pakistan's young people to keep building, to take on the world. Especially in AI. Especially now, without losing sight of the political struggle, which we will not abandon. This thread is for them 🧵 — Forced to stay away from my country gave me two benefits: More time and more passion. I chose not to waste either. This is a personal account: It started with my need to transcribe my long speeches, some over thirty minutes, in mixed English and Urdu on YouTube (which gave a Hindi/Sanskrit transcript). The platforms available would do a bad job with the mix. So, I asked my coaches — ChatGPT, Claude & Gemini and I concluded to do it myself, locally, with Whisper’s large, medium & small models and other AI tools. This was completed in Dec ‘25 For the sake of open source and transparency, I am publishing it on GitHub. github.com/DrArifAlvi/you… In January ’26, I began building the Dr Arif Alvi AI Archive. An attempt to bring together everything I had said, written, read, and recorded across decades, and make it searchable, synthesizable, MINE. I built it alone. No team. No budget. Just time, curiosity, and persistence. It runs entirely on my enhanced laptop. My data never leaves it. My AI agents ingest my writings/articles; thousands of books read and summarised; millions of words of archival material; my thousands of speeches on YouTube press conferences; thousands of talk show appearances since 2000 and clips on YouTube. All scraped from the net via APIs— indexed, and alive inside my local RAG (Retrieval Augmented Generation) system that answers back. My 50,000+ tweets are searchable faster than X's own tools. Not just by keyword but semantically. None of it leaves my computer or enters the public domain, remains private. — The local LLMs answer questions, draft research briefs, synthesize across all data. When I need to reach beyond my own archive, they augment from public LLMs — ChatGPT, Claude, DeepSeek, others. I use the archive every day, updating it regularly. It has changed how I think and work. — Following are the layers of the stack — what I built is one-of-one. But what I built it from is available to every-one: ▶️ Ollama / Llama / Phi / Qwen — local LLMs running entirely on-device ▶️ Whisper — bilingual English-Urdu speech transcription ▶️ ChromaDB — vector memory across 70,000+ chunks ▶️ Sentence Transformers — semantic search across tweets, speeches, and archives ▶️ Streamlit — dashboard with dual modes: semantic search and AI research ▶️ Six LLM interfaces (ChatGPT, Claude, DeepSeek, Gemini, Perplexity, Copilot) for python scripts and for augmentation of local output ▶️ OpenClaw and GitHub — for code management ▶️VS Code — for scripts and code writing None of them are mine. The COMPOSITION is mine. — I should tell you what it took to get here. I started learning Python basics from online courses. I am not a programmer, but I reviewed and iterated over a million lines of scripts —learning, correcting, improving, understanding—just enough to keep going. I had launched Pakistan's Presidential Initiative on Artificial Intelligence in 2019. I thought I understood AI but I took advanced courses anyway. There is always more to learn, and humility about ignorance is not a weakness. It is the only honest starting point. — There are tens of thousands of students, researchers, operators, lawyers, and doctors across Pakistan and the world, quietly trying to dabble in AI right now. To them I would say: software writing is mostly done by machines today. You do not need to become a programmer. You need to understand enough to read, direct, correct and employ tools — like a symphony conductor, with an AI baton. More than anything, pick a project. Something real, something yours.🔑 Scripts fill the architecture. Concrete fills the blueprint. GET TO WORK And do not move slowly. AI tools and agentic systems are changing every single day. What was remarkable yesterday is ordinary today. Sometimes the gap is hours, not months. The people who stay ahead are not waiting to fully understand it before they begin. THEY ARE ALREADY BUILDING. — Pakistan cannot afford to fall behind in this. Not out of nostalgia for what Pakistan was, but out of economic and strategic urgency for what it must become — because our talented, hungry people can build anything when given the tools and the leadership. This is for them. START
My leader @ImranKhanPTI sits in jail with his health in jeopardy. His imprisonment weighs on us every day. But I know him well enough to say this: He would want Pakistan's young people to keep building, to take on the world. Especially in AI. Especially now, without losing sight of the political struggle, which we will not abandon. This thread is for them 🧵 — Forced to stay away from my country gave me two benefits: More time and more passion. I chose not to waste either. This is a personal account: It started with my need to transcribe my long speeches, some over thirty minutes, in mixed English and Urdu on YouTube (which gave a Hindi/Sanskrit transcript). The platforms available would do a bad job with the mix. So, I asked my coaches — ChatGPT, Claude & Gemini and I concluded to do it myself, locally, with Whisper’s large, medium & small models and other AI tools. This was completed in Dec ‘25 For the sake of open source and transparency, I am publishing it on GitHub. github.com/DrArifAlvi/you… In January ’26, I began building the Dr Arif Alvi AI Archive. An attempt to bring together everything I had said, written, read, and recorded across decades, and make it searchable, synthesizable, MINE. I built it alone. No team. No budget. Just time, curiosity, and persistence. It runs entirely on my enhanced laptop. My data never leaves it. My AI agents ingest my writings/articles; thousands of books read and summarised; millions of words of archival material; my thousands of speeches on YouTube press conferences; thousands of talk show appearances since 2000 and clips on YouTube. All scraped from the net via APIs— indexed, and alive inside my local RAG (Retrieval Augmented Generation) system that answers back. My 50,000+ tweets are searchable faster than X's own tools. Not just by keyword but semantically. None of it leaves my computer or enters the public domain, remains private. — The local LLMs answer questions, draft research briefs, synthesize across all data. When I need to reach beyond my own archive, they augment from public LLMs — ChatGPT, Claude, DeepSeek, others. I use the archive every day, updating it regularly. It has changed how I think and work. — Following are the layers of the stack — what I built is one-of-one. But what I built it from is available to every-one: ▶️ Ollama / Llama / Phi / Qwen — local LLMs running entirely on-device ▶️ Whisper — bilingual English-Urdu speech transcription ▶️ ChromaDB — vector memory across 70,000+ chunks ▶️ Sentence Transformers — semantic search across tweets, speeches, and archives ▶️ Streamlit — dashboard with dual modes: semantic search and AI research ▶️ Six LLM interfaces (ChatGPT, Claude, DeepSeek, Gemini, Perplexity, Copilot) for python scripts and for augmentation of local output ▶️ OpenClaw and GitHub — for code management ▶️VS Code — for scripts and code writing None of them are mine. The COMPOSITION is mine. — I should tell you what it took to get here. I started learning Python basics from online courses. I am not a programmer, but I reviewed and iterated over a million lines of scripts —learning, correcting, improving, understanding—just enough to keep going. I had launched Pakistan's Presidential Initiative on Artificial Intelligence in 2019. I thought I understood AI but I took advanced courses anyway. There is always more to learn, and humility about ignorance is not a weakness. It is the only honest starting point. — There are tens of thousands of students, researchers, operators, lawyers, and doctors across Pakistan and the world, quietly trying to dabble in AI right now. To them I would say: software writing is mostly done by machines today. You do not need to become a programmer. You need to understand enough to read, direct, correct and employ tools — like a symphony conductor, with an AI baton. More than anything, pick a project. Something real, something yours.🔑 Scripts fill the architecture. Concrete fills the blueprint. GET TO WORK And do not move slowly. AI tools and agentic systems are changing every single day. What was remarkable yesterday is ordinary today. Sometimes the gap is hours, not months. The people who stay ahead are not waiting to fully understand it before they begin. THEY ARE ALREADY BUILDING. — Pakistan cannot afford to fall behind in this. Not out of nostalgia for what Pakistan was, but out of economic and strategic urgency for what it must become — because our talented, hungry people can build anything when given the tools and the leadership. This is for them. START
