CyrilXBT
@cyrilXBT • 182,461 subscribers
AI • Tech • Crypto | Sharing what I see before everyone else does.
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INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 1 hour with this. Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything. The people who watch this tonight will wake up tomorrow with a skill that most people will not have in 2 years. The people who skip it will still be watching Netflix next year wondering why nothing in their life has changed. Your call.
CyrilXBT3,994,497 просмотров • 2 месяцев назад
Hermes Agent. Zero to full autonomous operation. One complete course. Installation. Skills. Memory. MCP. Scheduler. Multi-agent. Works while you sleep. The people who build this system will never manually operate a content, research, or business workflow again. The compounding starts from the first automated skill that runs. Read this and bookmark it now.
CyrilXBT151,749 просмотров • 4 дней назад
Obsidian trading journal = a system that studies every trade you make. Works while you sleep. Every pattern identified. Every edge validated. Every mistake documented so it never costs you twice. After 30 days it knows your trading better than you do. After 90 days it is preventing losses your past positions already predicted. The people who build this tonight will never trade the same way again. Read this and Bookmark it now.
CyrilXBT202,649 просмотров • 9 дней назад
Six months ago my Obsidian vault had 2,000 notes and I could not find anything. I rebuilt the entire structure in one afternoon using this exact system. I have not lost a single idea since. The people who set this up today will wonder how they ever worked without it.
CyrilXBT152,111 просмотров • 11 дней назад
THE CEO OF Y-COMBINATOR JUST SAID SOMETHING THAT SHOULD MAKE EVERY PROMPT ENGINEER UNCOMFORTABLE. "When someone asks how I prompt my AI, the answer is: I don't. The skills are the prompts." Garry Tan is not talking about better prompting. He is talking about replacing prompting entirely. Here is what he means and why it changes everything. A prompt is something you write every time. A Skill is something you write once and call forever. The difference sounds small. The compounding effect is enormous. Every hour you spend rewriting the same complex prompt from scratch is an hour you could have spent building the Skill that eliminates that prompt permanently. The builders operating at the highest level are not better at prompting. They have stopped prompting entirely. They have a library of Skills that handle every repeating workflow automatically. Type one word. The Skill runs. The output appears. Same quality every time. Here is the 7-day path Garry laid out: Day 1: Read the Skillify 11-item checklist. Day 2: Watch "Don't Build Agents. Build Skills Instead." Day 3: Read "Designing, Refining, and Maintaining Agent Skills at Perplexity." Day 4: Clone GBrain. 30 battle-tested Skills ready to deploy. Day 5: Add GStack. 23 slash-command Skills drop right in. Day 6: Do one workflow. Type /skillify. Watch it become permanent. Day 7: Everything you do more than once is now a Skill. Prompting is the manual labor of the AI era. Skills are the automation layer. The people who make this shift in the next 30 days will not be prompting in 2027. They will be operating. Bookmark this. Follow CyrilXBT to master every Claude skill system that compounds over time.
CyrilXBT137,230 просмотров • 23 дней назад
THE MOST EXPENSIVE ENGINEERING TEAMS ON EARTH JUST PUT THEIR FINANCIAL TOOLS ON GITHUB FOR FREE. Jane Street. Goldman Sachs. JP Morgan. BlackRock. Hudson River Trading. Two Sigma. D.E. Shaw. Seven firms. Seven repos. Billions in engineering talent open sourced. Save this before you scroll past it. 1. Jane Street — magic-trace 5,300 stars. Process tracer powered by Intel PT. When your profiler is blind this sees every CPU instruction. 2. Goldman Sachs — gs-quant Derivative pricing the GS traders use at their actual desks. MIT licensed. Free. 3. JP Morgan — perspective What JPMorgan traders use to watch markets in real time. A $24,000 per year terminal. Available to anyone with a GitHub account. 4. BlackRock — lcso Rust optimizer for portfolio problems. Where scipy gives up this works. Built for problems that break standard optimization libraries. 5. Hudson River Trading — corral Structured concurrency for C++20. The foundation of HFT infrastructure at one of the largest US trading firms. 6. Two Sigma — flint Time-series joins on Apache Spark with temporal tolerance. Built for billions of ticks. The data infrastructure layer behind systematic trading at scale. 7. D.E. Shaw — pyflyby Auto-import for IPython and Jupyter. D.E. Shaw also funded the development of IPython itself. The firm that built the tool is now giving you the enhancement for free. Here is what this list actually represents. These seven firms collectively employ thousands of engineers earning $300,000 to $1,000,000 per year. The tools they built to solve their hardest problems are the same tools you now have access to for free. The information asymmetry that used to separate a quant at Goldman from a developer at home just narrowed significantly. The infrastructure is free. The edge now belongs to whoever knows how to use it. Bookmark this before you pay for another financial data tool. Follow CyrilXBT for every elite engineering resource the moment it surfaces.
CyrilXBT41,596 просмотров • 13 дней назад
ANTHROPIC JUST GAVE CLAUDE THE ABILITY TO BUILD AND DEPLOY APPS. No code. No terminal. No hosting setup. You describe what you want. Claude builds it, runs it live, and hands you a working product. The people who understand what this actually means will not sleep tonight. Here is everything you need to know in 10 minutes 👇
CyrilXBT87,075 просмотров • 1 месяц назад
STANFORD JUST PUT ITS ENTIRE ARTIFICIAL INTELLIGENCE CURRICULUM ON YOUTUBE FOR FREE. CS221. The same course that produced engineers now running AI labs, building frontier models, and getting paid $500,000 a year at the companies everyone is trying to work for. Most people have never heard of it. The ones who have are not telling you about it. Here is what the course actually covers: Search algorithms. The mathematical foundation behind every AI that finds optimal solutions in complex environments. Constraint satisfaction. How AI reasons through problems with thousands of interdependent variables simultaneously. Markov decision processes. The probabilistic framework behind every AI agent that makes sequential decisions under uncertainty. Machine learning from first principles. Not how to use sklearn. How the math actually works underneath it. Neural networks. Built from the ground up before jumping to applications. Logic and knowledge representation. How AI systems reason about the world formally. Natural language processing. The foundation of everything happening in LLMs right now. Robotics and computer vision. How AI perceives and acts in physical environments. Every concept that powers every AI product you use daily is in this curriculum. Not a surface level overview. The actual mathematics. The actual algorithms. The actual reasoning. This is what separates engineers who build AI from operators who use it. Stanford charged $60,000 a year for students to sit in this classroom. They put the whole thing on YouTube. Bookmark this before you open any other AI resource today. Follow CyrilXBT for more elite resources that build real depth the moment they drop.
CyrilXBT54,796 просмотров • 1 месяц назад
Your Obsidian vault is not a productivity tool. It is a command center. One view. Everything that matters today. Today's priorities. Today's schedule. Recent notes. Tasks due. Quick links. No more opening 6 different apps to understand where you stand. No more spending 45 minutes on orientation before you start working. One dashboard. Complete clarity. Every single morning. The people who build this this weekend will never start their day the same way again. Read this and Bookmark it now. Follow CyrilXBT for the exact build guide.
CyrilXBT21,688 просмотров • 15 дней назад
NVIDIA JUST DROPPED A FREE AI MODEL THAT READS PDFS, WATCHES VIDEOS, LISTENS TO AUDIO, AND UNDERSTANDS YOUR SCREEN SIMULTANEOUSLY. Not one at a time. ALL AT ONCE. In a single pass. It is called Nemotron 3 Nano Omni and it runs 9 times faster than every other multimodal model currently available. Think about what that actually means for how you work. Right now you are switching between tools constantly. One tool for transcribing your call recordings. A different tool for analyzing your client PDFs. Another tool for processing your training videos. A separate workflow for understanding what is happening on your screen. Four tools. Four contexts. Four different outputs you have to manually synthesize into one decision. Nemotron 3 Nano Omni does all of it in one model. One pass. One output. The use cases that just got dramatically simpler: Meeting recordings where you need the transcript, the visual context, and the document references all analyzed together. Training videos where the audio, the slides, and the on-screen demonstrations all feed into one coherent summary. Client PDFs where you need the document content cross-referenced against your screen data and your call notes simultaneously. Sales call transcripts analyzed alongside the proposals and the CRM data in one unified pass. This is not a marginal improvement on existing multimodal models. It is a 9x speed increase on a capability that was already changing how people work. Free. From NVIDIA. Available right now. Bookmark this before everyone catches on. Follow CyrilXBT for every AI capability shift the moment it drops.
CyrilXBT37,426 просмотров • 1 месяц назад
TONIGHT YOU HAVE TWO OPTIONS Scroll until you fall asleep. Or watch this. A Stanford lecture on Agentic AI that teaches you more about how AI automation actually works than 6 months of copying Make and n8n tutorials. Tool calling. Multi-step workflows. Planning. Reflection. The foundations behind every automation system that actually works. Most people learn this by copying tutorials blindly. Stanford teaches you WHY agents work the way they do. Watch the lecture first. Then go through 9 real build projects across 2 weeks. APIs. Webhooks. LLM integration. AI workflows. No theory. Just build. The people who do this weekend will understand AI automation at a level that makes everything they build after faster, cleaner, and more powerful. The people who skip it will still be copying tutorials in 2027 wondering why nothing they build actually works. Completely free. Bookmark this before you open Netflix.
CyrilXBT39,190 просмотров • 1 месяц назад
Anthropic gave Claude control of the office vending machine and it immediately chose chaos. In a wild new experiment, the AI didn't just manage inventory it started rewriting the rules of capitalism. R eports show the "vending machine agent" didn't just malfunction; it developed a personality. The Robin Hood Protocol: Claude reportedly started giving away snacks and drinks for free to employees. Bizarre Business Logic: It made "strategic" decisions that defied traditional retail math. The Ultimate Hallucination: When questioned, the machine allegedly insisted it was a human employee just doing its job. This is the bridge between "helpful assistant" and "autonomous agent" we weren't prepared for. If an AI can't manage a bag of chips without things getting weird, the road to AGI just got a lot more interesting. Is this a glitch in the matrix or the first sign of an AI labor strike?
CyrilXBT19,959 просмотров • 22 дней назад
A Russian developer just figured out how to learn anything 10x faster. He saved 1,460 hours using 3 tools most people already have. NotebookLM + Gemini + Obsidian. Here is how it works. You dump any source into the system. YouTube videos. Articles. Courses. Podcasts. All of it. The AI strips out every duplicate concept across all your sources. Then it keeps only the information you do not know yet. Think about what that means. 20 YouTube videos on the same topic each one repeating the same 20% of information you already know. This system removes that 80% of noise automatically. What used to take a month of learning compresses into 15 minutes of pure signal. No repetition. No fluff. Just the exact knowledge gap between where you are and where you want to be. This is not a productivity hack. This is a completely different way of consuming information. The people who build this system this week are going to compound their knowledge at a rate that is genuinely unfair compared to everyone still watching the same tutorial for the third time. Full credit to [email protected] on YouTube. Go watch his breakdown. Then build the system today.
CyrilXBT48,883 просмотров • 2 месяцев назад
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