Jon

@LKMSTXLINDALE @elonmusk @JeffBezos If they are Americans they should pay their fair share of taxes just like the rest of us. Too many tax breaks. Nd loop holes for the rich.

@SherrySlatosky @elonmusk @JeffBezos Happy with her minimum wage job and shitty Amazon benefits 🤣

Bravo @JeffBezos!

Why do we have to wish Israel a happy birthday? Why is it antisemitic if we don't? Do you have to wish Turkey a habby birthday? How about Bolivia? If you don't give a shit about Bolivia's birthday, are you racist against Bolivians? An entitlement complex wrapped in victimhood.

Perfect example of how Zionists are in a cult that's detached from reality. Israel just slaughtered over 73,000 and destroyed 90% of Gaza, and this psychopath thinks people only object to Israel's crimes because Jews are doing it. Toxic victimhood with deep entitlement complex.

When we came into office, we uncovered a $12 billion budget deficit. Today, I’m proud to say we brought it down to zero. We didn’t close the gap on the backs of working people. We closed it while funding parks, libraries, safer streets and making historic investments in public housing. Call it Pothole Politics. Call it Democratic Socialism. It's government that delivers for the people who make this city run. That’s what New Yorkers deserve. And that’s what we will keep fighting for every single day.

I HAVEN’T OPENED A SINGLE BOOK THIS MONTH. CLAUDE READ 34 OF THEM FOR ME I built a vault in Obsidian, connected Claude and added Notebooklm went to sleep woke up with flashcards, mind maps, and an AI that answers from my own notes only my friends are still highlighting pdfs manually the only thing separating us is one setup: claude + obsidian + notebooklm every idea captured. every book processed. zero knowledge lost if this is the setup you’ve been looking for - like & bookmark so you don’t lose it

@elonmusk I will prove right now that you are being mislead and deceived Since April 10, News and Politics category posts deboosted to 10% Big accounts deboosted to 1% and small accounts boosted up to 200000% Here evidences 226 followers number 3 in most likes today

Your Obsidian vault is probably dead. Not empty. Dead. Because saving information is not the same thing as building intelligence. Right now millions of people are spending hours building “second brains” that never think back. Beautiful folders. Perfect tags. Endless highlights. And absolutely zero cognitive leverage. The scary part? AI is about to make this gap brutally obvious. Most people will use AI like a smarter Google: ask question → get answer → forget answer. But a small group is building something way more dangerous: AI connected to years of personal context. Their notes. Their ideas. Their unfinished thoughts. Their reading history. Their obsessions. Their patterns. At that point AI stops acting like a chatbot. And starts acting like a cognitive extension of the person using it. That changes everything. Because the biggest advantage in the AI era will not be prompts. It will be accumulated context. People with connected knowledge systems are going to think faster, write better, learn quicker, and spot opportunities earlier than everyone else. Not because they’re smarter. Because they stopped starting from zero every day. Most vaults are storage systems. The best ones become intelligence systems.

@elonmusk You got debunked by your own AI 🤣🤣🤣 Elon = DUMBASS

@elonmusk MAGA=Pedophiles TRUE!

True

Get Hermes Agent running in less than 5 minutes. No API key, No bot token, No SSH. Just running with the skills and plugins adapted to your needs.

Wishing all the moms out there a wonderful Mother’s Day! To @MichelleObama, I’m grateful for all the ways you’ve shown up for our daughters and our family over the years. We love you.

This Chinese guy built a Second Brain in Obsidian and every morning gets 3 trading ideas that brought him $180,000 in 6 months. Inside he runs a pipeline of 6 workflows on N8N that automatically pulls every read article, listened podcast, and voice note into a shared Obsidian vault, and a neural network analyst every morning at 6:00 finds connections between the fresh and the old and puts the 3 strongest trading ideas for the day into the inbox. No analytics desk, no Bloomberg terminal, no Telegram chats with traders. Just a Mac Mini by the wall, an iPhone in the pocket, and 1 local Obsidian vault. And traditional quant funds keep entire teams of 8 people on salary for the same flow of insights, while his expenses are only subscriptions to Readwise, Whisper API, and N8N hosting. 6 pipelines process about 200 sources a day and close the monthly API bill at about $120. The Mac Mini itself stores the entire vault and keeps the neural network analyst running 24/7, and from the iPhone the owner drops any idea he hears on the go into a Telegram bot, and it lands in the vault inbox in just 30 seconds. The starting instruction that sits in the VAULT.md file at the root of his vault looks like this: "you are the AI analyst of a solo trader. you read his vault every morning at 6:00, find connections between fresh and old notes, and deliver 3 trading ideas he can verify in the hour before the market opens. pipelines: // Reader (pulls every article and highlight from Readwise, Twitter bookmarks, and Kindle into /notes) // Listener (transcribes podcasts through Airr and voice notes through Whisper, puts them in /notes) // Catcher (accepts any message from the Telegram bot and writes it to /inbox with a timestamp) // Connector (every night reads across the entire vault and updates the connection graph between 4,000 notes) // Briefer (at 6:00 AM writes a brief: 3 trading ideas for today plus the emerging thesis of the week, puts it in /inbox) // Mobile (lives in the iPhone, answers any question about the vault by voice, and confirms alerts while the owner is on the go). you wake the owner with a push notification only when a fresh note contradicts his active thesis or when 1 of the 3 morning ideas has a confidence score above 90%." This instruction immediately sets the role for the system and the limits of its autonomy. It knows it is supposed to connect new with old on its own. It knows it is supposed to prepare 3 trading ideas every morning on its own. It knows it connects the live trader only when a thesis is contradicted or an ultra-confident idea appears. → Reader pulls about 80 articles and highlights a day from Readwise, Twitter, and Kindle → Listener transcribes 4 to 6 podcasts a week through Airr and Whisper → Catcher intercepts all voice and text ideas through the Telegram bot, averaging 15 to 20 a day → Connector updates the connection graph between 4,000 notes every night, adding 25 to 30 new edges → Briefer puts a fresh brief with 3 trading ideas and the emerging thesis into the inbox at exactly 6:00 → Mobile answers any question about the vault by voice and confirms alerts right from the iPhone And only when a new note contradicts his active thesis or 1 of the ideas breaks 90% confidence does the orchestrator raise the owner with a push notification. And when the trader at that moment is driving to the gym or eating breakfast, the Mobile agent in his iPhone answers any quick question about the vault by voice: what he wrote about this ticker last week, which 3 sources support the idea of long NVDA, and what counter-thesis already sits in his notes. The trader makes the decision and sends the order before New York opens. The fresh brief from last Monday looks like this: "reader: 78 materials added over the weekend, 11 of them about semiconductors, 4 about energy, 3 about biotech. passing to connector." "connector: 27 new connections found between fresh materials and the vault, the strongest one is that the Goldman report from Wednesday matches the NVDA thesis you wrote 3 weeks ago." "briefer: 3 trading ideas for today: long NVDA (confidence 0.84), short Tesla at the close of the quarterly report (0.71), watch URI (0.62). emerging thesis of the week: the market is underpricing capex on data centers." "alert: your fresh note about long-term risk in semis contradicts the NVDA thesis. sending for review." In his work setup there is no cloud server, no team of analysts, and not even a Bloomberg subscription. At home sits a Mac Mini with a local Obsidian vault, on top run 6 N8N pipelines and a neural network analyst, and the same vault mirrors to a secure terminal on the iPhone. Out of everything I have seen this year, this is the cleanest solo trading setup on a second brain: $120 a month on the API, about $30,000 a month into the account, and between them 6 pipelines, 4,000 connected notes, and 1 iPhone in the pocket.

@WhiteHouse This is what he mistakes for a legacy. He has never actually accomplished anything. Nothing real. He isn’t a leader. He isn’t a patriot. He isn’t making our country safer, stronger, healthier, more equitable or more prosperous. He can’t do any of those things. So he does this.

Anthropic’s Claude Code team just showed how to automate your engineering workflow in under 30 minutes. straight from the people who built it and it’s completely free.

@elonmusk LMAOOO dude that’s so alpha!! Can you explain why you were begging Epstein to be invited to his sickest and most disgusting parties?

@Acyn I will never, not for as long as I live, understand how anyone, ANYONE, looks at this garbage version of a human being, and thinks, “yes, that. I want more of that!” He’s a piece of shit. A racist, sexist, stupid piece of shit.

How to Build Your First AI Agent - Step-by-Step Creating an AI agent might sound complex, but by breaking it down into structured steps, you can go from idea to a fully functional agent that solves real problems. Whether you’re building for customer service, research, or automation, following these stages ensures your agent is accurate, useful, and adaptable. 1. Define the Agent’s Purpose Start with clarity. Identify the problem your agent will solve, who will use it, and what kind of inputs and outputs it should handle. This step sets the foundation for everything else. 2. Select Input Sources Decide what kind of data your agent will use - text, voice, API calls, or a mix. Connect it to databases, CRMs, or external APIs, and determine how real-time the data needs to be. 3. Data Preparation & Preprocessing Clean and format your data so it’s ready for your chosen AI model. This might mean tokenizing text, normalizing values, or structuring raw inputs. 4. Choose the Right Model Pick the AI engine that powers your agent - whether it’s an LLM like GPT-4, Claude, or Gemini. Choose between hosted APIs or custom deployments, ensuring it supports your needs like reasoning, retrieval, or chat. 5. Design the Agent Architecture Decide how your agent will operate using decision trees, planners, or tool-driven flows. Use frameworks like LangChain, CrewAI, or AutoGen to connect tools, memory, and prompts efficiently. 6. Craft Prompts & Toolchains Write effective, structured prompts, integrate with APIs, search tools, or calculators, and test until your outputs are accurate and reliable. 7. Test & Validate Run simulations with varied user inputs, check accuracy, and find weaknesses like edge cases or inconsistent answers. 8. Deploy the Agent Host your agent on cloud services (Vercel, AWS, Hugging Face) and add a frontend like a chat interface or voice UI. Ensure logging is in place for performance tracking. 9. Monitor & Improve Watch how users interact with your agent. Track accuracy, latency, and errors. Refine prompts or retrain models when needed. 10. Enable Continuous Learning Let your agent evolve. Feed it real usage data, update tools and APIs, and fine-tune models to handle new scenarios over time. Ready to bring your first AI agent to life? Start small, experiment, and iterate - your first version doesn’t have to be perfect. The key is to build, test, and keep improving.

Save this Cowork setup before your next session: Step 1. Get the Claude app, not the browser. Step 2. Pay $20/month for Pro. Skip the $100 plan. Step 3. Create a folder named "Claude Cowork". Step 4. Subfolders: About me, Outputs, Templates. Step 5. In ABOUT ME, 3 subfolders: about-me, my-company, anti-ai-writing style .md files. Step 6. Let it interview you with AskUserQuestion. Step 7. Dictate your answers with Wispr. ai (faster) Step 8. It should be under 2,000 words. Step 9. Settings → Cowork → Global Instructions. Paste: "Always read files in 'About Me' before tasks" Step 10. Pick Opus 4.7 + Extended Thinking. Step 11. Write a 1-line prompt. It already knows you. By the way, to download my (exact) .md files: Step 1. Go to how-to-ai.guide. Step 2. Subscribe for free. Don't pay anything. Step 3. Open my welcome email. Step 4. Hit the automatic reply button inside. Step 5. In the second email, trace the notion link. Step 6. Open the ".md files" folder on Notion. Step 7. Download my .md files. Upload to Claude. ♻️ Repost this so they finally try Cowork.

Today, I was back in court, standing up against this Administration’s attempts to silence me, millions of other veterans, and all Americans. Our vets deserve leaders who stand up for their rights, not try to take them away. That’s why I’m not giving them an inch.