Triuzla (@triuzla) profile picture
New York
Joined May 2011
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STOP WASTING HOURS TRYING TO FIGURE OUT WHAT TO LEARN IN AI. I put together one practical roadmap with videos, GitHub repos, guides, books, research papers, and courses. VIDEOS: 1. LLM Introduction — youtube.com/watch?v=zjkBMFhN… 2. LLMs from Scratch — youtube.com/watch?v=9vM4p9NN… 3. Agentic AI Overview (Stanford) — youtube.com/watch?v=kJLiOGle… 4. Building & Evaluating Agents — youtube.com/watch?v=d5EltXhb… 5. Building Effective Agents — youtube.com/watch?v=D7_ipDqh… 6. Building Agents with MCP — youtube.com/watch?v=kQmXtrmQ… 7. Building an Agent from Scratch — youtube.com/watch?v=xzXdLRUy… 8. Philo Agents — youtube.com/playlist?list=PL… GITHUB REPOS: 1. GenAI Agents — github.com/nirdiamant/GenAI_… 2. Microsoft AI Agents for Beginners — github.com/microsoft/ai-agen… 3. Prompt Engineering Guide — github.com/dair-ai/Prompt-En… 4. Hands-On Large Language Models — github.com/HandsOnLLM/Hands-… 5. GenAI Agents — github.com/NirDiamant/GenAI_… 6. Made with ML — github.com/GokuMohandas/Made… 7. Hands-On AI Engineering — github.com/Sumanth077/Hands-… 8. Awesome Generative AI Guide — github.com/aishwaryanr/aweso… 9. Designing Machine Learning Systems — github.com/chiphuyen/dmls-bo… 10. Machine Learning for Beginners — github.com/microsoft/ML-For-… 11. LLM Course — github.com/mlabonne/llm-cour… GUIDES: 1. Google's Agent Whitepaper — kaggle.com/whitepaper-agents 2. Google's Agent Companion — kaggle.com/whitepaper-agent-… 3. Building Effective Agents by Anthropic — anthropic.com/engineering/bu… 4. Claude Code Agentic Coding Practices — code.claude.com/docs/en/best… 5. OpenAI's Practical Guide to Building Agents — cdn.openai.com/business-guid… BOOKS: 1. Understanding Deep Learning — udlbook.github.io/udlbook/ 2. Building an LLM from Scratch — manning.com/books/build-a-la… 3. The LLM Engineering Handbook — oreilly.com/library/view/llm… 4. AI Agents: The Definitive Guide — oreilly.com/library/view/ai-… 5. Building Applications with AI Agents — oreilly.com/library/view/bui… 6. AI Agents with MCP — oreilly.com/library/view/ai-… 7. AI Engineering — oreilly.com/library/view/ai-… RESEARCH PAPERS: 1. ReAct — arxiv.org/abs/2210.03629 2. Generative Agents — arxiv.org/abs/2304.03442 3. Toolformer — proceedings.neurips.cc/paper… 4. Chain-of-Thought Prompting — arxiv.org/pdf/2201.11903 COURSES: 1. Meta Data Analyst Professional Certificate: imp.i384100.net/rENKMG 2. Google Advanced Data Analytics Professional Certificate: imp.i384100.net/jR67bn 3. Microsoft Power BI Data Analyst Professional Certificate: imp.i384100.net/PzdQx6 4. Google Data Analytics Professional Certificate: imp.i384100.net/xJ6DQx 5. Introduction to Data Analytics: imp.i384100.net/5k0drn 6. Machine Learning Specialization: imp.i384100.net/k42K6M 7. IBM Deep Learning with PyTorch, Keras and Tensorflow Professional Certificate: imp.i384100.net/enZ0zg 8. Deep Learning Specialization: imp.i384100.net/qW6KMO 9. Crash Course on Python: imp.i384100.net/QYd9Dz 10. Python for Data Science, AI & Development: imp.i384100.net/9Vd6kQ 11. ChatGPT + Excel: AI-Enhanced Data Analysis & Insight Specialization: imp.i384100.net/rENKMB 12. Work Smarter with Microsoft Excel: imp.i384100.net/jR67ba 13. Microsoft Excel Professional Certificate: imp.i384100.net/PzdQxq 14. Excel Basics for Data Analysis: imp.i384100.net/5k0drD 15. SQL Foundations: imp.i384100.net/k42K6v Repost so someone else can find this roadmap, and pls consider following @Mohiniuni for more content around AI, Beauty, and businesses.
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Triuzla retweeted
THIS IS F*CKING INSANE SpaceXAI just dropped 146 Grok Bot templates worth $29,200 for FREE bots like these basically cost $50–$200 each. and that’s just the official collection. GitHub already has 700+ bots, including complete teams with specialist roles, ready-made handoffs, and separate verifiers 20 GitHub projects you should open first: 01 Agent Org Chart → ready-made team structures for engineering, marketing, support, and sales. pick the organization your job needs instead of inventing every role github.com/serenakeyitan/age… 02 Grok Factory → one Firstmate routes software, research, and general work to the right specialists, then brings back reports or reviewed pull requests github.com/jaredtrichard/gro… 03 multiBot → creates purpose-built teammates that delegate heavy work to coding CLIs, keeping Grok Bot focused on coordination and returning the result github.com/simo255/multiBot 04 Grok Bot Architecture → a blueprint for a chief of staff, specialist bots, structured handoffs, connected tools, and human approval points on one shared computer github.com/tiagovilasboas/gr… 05 Foreman → inspects a hosted bot crew, surfaces stalled work, and records evidence behind completion claims. a separate checker supplies the passing verdict github.com/Archive228/forema… 06 Grok Bot Second Brain → a five-bot setup with Conductor, Capture, Memory, Ops, and Research, sharing a knowledge vault and defined responsibilities github.com/mKay00/grok-bot-s… 07 grokbot-skills → reusable skills for debugging, brainstorming, writing, and observing tasks, with upstream sources and licenses preserved github.com/jeremybrasher/gro… 08 grokbot-x → an X content workflow that scouts posts, prepares drafts, publishes through Typefully, and uses logged results to evaluate changes to its writing skills github.com/YannisKiefer/grok… 09 Restaurant Scout → a specialist setup for finding food brands and creators, preparing shoppable-content scripts, and organizing the findings into a catalog workflow github.com/mykemueller1-ctrl… 10 Grok Bot Shopping → shopping skills for product search, merchant checkout, Shopify discount-code tests, and order workflows, plus an optional Buyer bot github.com/steve228uk/grok-b… 11 PhoneZero → gives Grok Bot a phone workflow for tasks like restaurant bookings. it prepares the call plan, waits for approval, and reports the outcome github.com/function1st/Phone… 12 Unlist → a privacy assistant playbook for people-search opt-outs, with site records, letter generation, submission logs, and follow-up tracking github.com/shawnyeager/unlis… 13 Grok Bot Gateway → lets coding agents and scripts list bots, read conversations, and send tasks through a gateway bot using a webhook routine github.com/dimpurr/grok-bot-… 14 grokbot-queue → queues and dispatches tasks across multiple Grok Bots, then collects their results using SSH and unofficial desktop automation github.com/ShuhangGe/grokbot… 15 Thin Grok Bot → a delegation skill that keeps the bot team focused on routing while deeper builds and investigations run through coding CLIs or cloud agents github.com/Luca-Blight/thin-… 16 BOTROSTER → a separate self-hosted alternative with persistent named teammates, shared files, a browser, scheduled work, and approval controls github.com/mandarwagh9/botro… 17 Root Agent → a coordinator that determines which specialists a request needs, manages assignments, and hands domain work to leads github.com/MrBekoX/root-agen… 18 Grok Bot Profiles → four focused roles: Spec Writer, Bug Reproducer, PR Producer, and PR Verifier. implementation and verification stay in separate conversations github.com/HAEGONG/grok-bot-… 19 Grok Bot Templates → 49 templates with defined jobs, outputs, skills, routines, and boundaries, plus team setups you can adapt to your work github.com/cobusgreyling/gro… 20 HyperGrok Trading Desk → seven bots covering market data, research, strategy, risk, execution, and review. starts in research mode; live trades require your approval github.com/galleonlabs/hyper… give the first team a job with an obvious finish line: one researched brief, one reviewed PR, or one prepared batch of drafts then check how much work you actually accepted and what it cost to produce. a larger roster earns its place when it improves that result the setup can be free. paying several bots to repeat the same investigation still costs you save this before you spend another weekend building a workflow that already exists the article below shows how to keep context smaller, reuse completed work, and contain retries so more of your Grok Bot budget reaches the finished result ↓
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Triuzla retweeted
HOLY SH*T, ELON MUSK PUT SPACEXAI'S BEST ENGINEERS ON A LIVE STREAM TO SHOW EXACTLY HOW TO BUILD A COMPANY WITH GROK BOTS they start from an empty github org and zero bots. 72 hours, live. how to use grok bot, from their demo: step 1: make one bot per job, not one chat per task step 2: tell it the result you want, voice works too step 3: set approval rules, e.g. ask me before sending any email step 4: show it a task once on screen, it saves it as a skill step 5: add a routine, e.g. every morning at 9 it sends you a summary step 6: if it refuses or asks questions, teach it, it keeps that in memory the parts worth watching: 11:29 - the first hires: which bots they pick 20:23 - building a bot from scratch with one voice prompt 22:54 - teaching a bot a task by doing it once 25:21 - setting up a 9 am routine save this and study the article below, it has ready-made grok bot configs you can copy ↓
I put together one guide for anyone who wants a workflow like the SpaceXSI team's. One message builds your whole Grok Bot setup. Plus the team's rules, prompt habits, routines and permissions. Every setup is a block you paste. 16-min read. Save it ↓
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Triuzla retweeted
Everyone is all excited about selling data to LLM companies. Science data is very poor, and much of it conflicts. I have a plan to create the world's most accurate science data. Bad data regurgitated and re-ingested is called model collapse. It's cholera for LLMs. @grokipedia certainly isn't going to do it. I claim there's only one way to fix it. Are there any investors interested in this? I'd love to talk with anyone interested in science data. @Diegopasini @brandonguo @colingardiner @deepmind @Winston_W_Ma @saranormous @bgurley @chamath @pmarca @avc @xdotli @patrickc @alexwg @stephen_wolfram @natolambert @shaunmmaguire @NWischoff @elonmusk @rauchg @_sholtodouglas @deedydas @CompleteSkeptic @mattwridley @patrick_oshag @HarryStebbings @demishassabis @8vc @radicalvcfund @dougleone @emily_yu @SpaceXSI @david_r_so
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Wake up. Every profession deemed white-collar, the middle class dream, is about to be decimated by AI, at a much faster pace than anticipated, with monstrous social consequences.
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🇺🇸 BREAKING: The US OCC finalizes GENIUS Act rules for stablecoin issuers, covering reserves, redemptions, and custody. Effective January 18, 2027.
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In just 8 months, Russia has killed and wounded more Ukrainian civilians than in all of 2025. I stressed this during the Interactive Dialogue with the UN High Commissioner for Human Rights on the situation in Ukraine. ❗️July alone saw 437 civilians killed and 2,610 injured — the highest monthly toll since May 2022. Russia’s attacks on civilians and critical infrastructure must be documented, condemned and met with accountability.
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Triuzla retweeted
WHOEVER LEAKED THIS HAS ZERO FEAR SOMEONE CONNECTED 350 GROK BOTS TO RUN A ONE-PERSON TRADING DESK. I thought it was just another AI experiment until I saw the setup. One bot scans the market. Another hunts for setups. Another analyzes news and sentiment. Another tracks whales and on-chain activity. Another manages risk and exposure. Then a HEAD OF DESK Grok coordinates everything and sends the owner only the trades that actually need approval. No team of analysts. No staring at charts all day. Just 350 Grok bots passing information between each other 24/7. The craziest part? The owner said he barely touches the system anymore. FULL GUILD ON HOW TO BUILD IT BELOW
Grok Bot is the best AI agent right now It gives you an army of agents that can do work for you 24/7 If you set it up correctly, you gain super powers In this article, I cover how to turn Grok Bot into your own Bloomberg Terminal
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Triuzla retweeted
He made $100 million in a single day while cameras were rolling, then spent years trying to erase every copy of the film. In 1987 a 32-year-old named Paul Tudor Jones was running $125 million out of a small New York office. A PBS crew followed him for months as he stared at one chart: the 1920s Dow overlaid on the 1980s. Correlation: 92 percent. He told them the market would climb toward 3,200, then produce an “earth-shaking” crash that would dwarf anything in living memory. Ten months later Black Monday arrived. The Dow dropped 22.6 percent in one session. Almost the entire Street was wiped out. Jones made roughly one hundred million dollars that day. Afterward he did everything possible to kill the documentary. He bought every VHS copy he could find and demanded PBS stop airing it. For decades the only way to see *Trader* was through bootlegs that changed hands for hundreds of dollars among traders who treated it like sacred text. Inside the footage he delivers the single rule that actually built the fortune: “I risk 10 cents to make eight bucks.” Everything else is noise. The full hour is free on YouTube right now. Seventeen thousand views. Almost no one currently managing serious money has ever watched it.
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Triuzla retweeted
Russia has designated me as a “terrorist” for refusing its demands for mass surveillance and censorship on Telegram. Under Russian law, I’m banned from “publishing information on the Internet” 😌 Russian officials are clearly confused about who can ban whom from the Internet 😉
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In 2008, Malcolm Gladwell explained why some people succeed and some don't in a single 1-hour talk. This will permanently change the way you think about talent, effort, and success. Bookmark & watch today, no matter what.
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Triuzla retweeted
Google Cloud AI engineer just showed how they go from idea to deployed app at Google in 30-minutes using Claude. 26-minutes. free. by Google AI team. one person + Claude + Google Cloud = a full engineering org running on a laptop. worth more than any $500 vibe-coding course.
Anthropic's Claude team just showed how to build an AI agent with real memory in under 30 minutes. 24-minutes. free. by the people who built Claude. one person + 10 agents with memory = a team that runs 24/7, remembers every customer improves itself. worth than $500 vibe-coding course.
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Starting today, users can join the initial waitlist for the Personal Computer program. We will provide support and resources for the initial cohort. perplexity.ai/personal-compu…
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BREAKING: Google’s Gemini + Nano Banana 2 can now build a complete website in under 2 hours. No dev team. No designer. No agency. Just Gemini + Figma + Nano Banana 2. Here are 9 insane prompts that turn AI into a $5,000 website machine: (Save this before your competitors do)
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SOMEONE CREATED A GITHUB REPO WITH AN ENTIRE SETUP FOR AN AI AGENCY Engineers, designers, growth marketers, product managers. Broken down how even a rookie could understand. It has over 10K stars in 7 days GitHub: github.com/msitarzewski/agen…
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AI ending interior design Nano banana 2 now can turn sketch floor plan into 4K 3D rendering with accurate dimension, take photos for each room, and 1-click furniture change used to cost $100k and months.. now cents and mins step by step tutorial on OpenArt:
🤝 Paid partnership
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