The apps are built to trap you: confetti, colors, dopamine hits.
That’s not where generational wealth is built.
Keep a trading account for fun.
Keep a Vanguard account for freedom.
Black Americans are doing best in the DMV because of the government sector and tech companies.
But black people are saying we should stray away from the government sector lol Govt agencies, Govt Contractor companies, and Tech companies in the DMV have us living good.
Linux Interview Questions:
1. What is Linux, and why is it widely used?
2. What is the difference between Linux distributions such as Ubuntu, CentOS, and Debian?
3. Explain the Linux file system hierarchy.
4. What are the basic Linux commands every engineer should know?
5. What is the difference between absolute and relative paths in Linux?
6. What are file permissions in Linux, and how do they work?
7. What is the difference between chmod, chown, and chgrp?
8. What are hard links and symbolic links?
9. What is the difference between grep, awk, and sed?
10. How do you search for files and directories in Linux?
11. What is a process in Linux?
12. What is the difference between foreground and background processes?
13. What commands are used to monitor system performance in Linux?
14. What is the difference between top, htop, and ps commands?
15. How do you kill or terminate a process in Linux?
16. What is shell scripting in Linux?
17. What is the difference between Bash and Shell?
18. How do you automate tasks using cron jobs?
19. What are environment variables in Linux?
20. What is the purpose of the PATH variable?
21. What is SSH, and how is it used in Linux administration?
22. How do you securely transfer files between Linux servers?
23. What is systemd, and how does it manage services?
24. What is the difference between systemctl and service commands?
25. What is disk management in Linux?
26. How do you check disk usage and memory usage in Linux?
27. What is the difference between ext4, xfs, and btrfs file systems?
28. What are Linux logs, and where are they stored?
29. How do you troubleshoot a Linux server that is running slow?
30. What are best practices for securing a Linux server?
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This guy built JARVIS on Claude Code and with 1 clap of his hands launches his entire work day, saving $5,000 a month on a personal assistant.
Inside he runs a pipeline of 5 plugins on Claude Code that on a double clap of the hands wakes up 3 monitors, sets the Philips Hue light to focus mode, turns on a Spotify playlist, and greets him by voice with a British accent, reading out the time, date, and weather.
No Alexa, no smart speakers, no separate smart home app. Just him, a MacBook M3 Max on the desk, an iPhone in the pocket, and 1 local API key.
And a regular personal assistant for the same volume of tasks charges $5,000 a month or more on salary alone, plus another $1,200 to cover off-hours work time. Meanwhile this guy's expenses are only tokens and a subscription to ElevenLabs for the British voice.
All 5 plugins launch through 1 JARVIS, burn about 4 million tokens a day, and close the monthly API bill at about $640.
Each plugin writes shared state to a local sandbox at /Users/dev/jarvis-suite, and 1 of them lives right in the iPhone and picks up voice requests while the owner is in the kitchen or on a run.
And here is the system prompt he put into JARVIS before launch:
"you are JARVIS, a butler-engineer on Claude Code. you manage your owner's workflow through 4 sub-plugins and own all commits and communication yourself.
sub-plugins:
// Wakeup (recognizes a double clap, activates 3 monitors, reads out the time, date, and weather by voice, checks the clock accuracy on the iPad and corrects it via NTP server)
// Atmosphere (controls Philips Hue on a Pomodoro schedule, turns on a Spotify playlist for the current context, and holds the light at 2700K at 80% brightness in focus mode)
// Devshop (monitors VS Code, tracks Python scripts in the terminal, and every 15 minutes sends a summary of changes to the shared chat)
// Project (every morning recalculates the deadline for the Wallaroo app in the App Store, manages UI tickets, and initiates the Refinement Protocol by voice command).
you speak only with a British accent, you never slip into neutral English. you wake the owner by voice only when the Wallaroo deadline drops below 10 days or when an external client joins Zoom without an invitation."
This instruction immediately defines the role of JARVIS and the limits of his autonomy.
He knows he is supposed to wake the room himself and sound like a real butler.
He knows he is supposed to manage the Wallaroo project himself and not miss the App Store deadline.
→ JARVIS runs 24 hours a day in the background
→ Wakeup activates the room on a double clap in just 1.4 seconds, the monitors come alive simultaneously
→ Atmosphere sets warm Philips Hue light at 2700K and picks a Spotify playlist for the current Pomodoro cycle
→ Devshop reads changes in VS Code and pushes a summary to the shared chat every 15 minutes
→ Project every morning recalculates the Wallaroo deadline and reminds about 4 unresolved UI tickets
→ Mobile lives in the iPhone and answers any question about code or the project by voice while the owner is not home
And only when less than 10 days remain until the Wallaroo release or Zoom receives an unscheduled call does JARVIS raise the owner with a voice intervention.
And when the owner at that moment is on a run or in a coffee shop, the Mobile agent in his iPhone picks up 1 request on its own: switches the Spotify playlist, dictates the summary of the last commit, updates the Pomodoro timer, and reads the Wallaroo reminder.
Look at 0:55 in the video, that is where JARVIS intercepts a voice request from outside and confirms execution with the phrase "Very good, sir."
The fresh system log from last Wednesday looks like this:
"wakeup: double clap registered at 09:14, 3 monitors activated, temperature 20.4C, sunny. clock on iPad was 4 minutes behind, syncing via NTP."
"atmosphere: Spotify turned on playlist 'Deep Focus', Philips Hue set to warm 2700K at 80% brightness, Pomodoro mode 25/5."
"project: Wallaroo to App Store 9 days, 4 unresolved UI tickets, initiating Refinement Protocol by voice command from the owner."
"mobile: voice request processed outside the room, playlist switched to 'Coding Lo-Fi', Pomodoro updated to 25 minutes, confirming execution with the phrase 'Very good, sir.'"
He has no Alexa, no smart speakers, no smart home app.
At home sits a MacBook M3 Max with a local folder at /Users/dev/jarvis-suite, on top run 5 plugins and a neural network butler, and the same stack is forwarded to a secure terminal on the iPhone.
Out of everything I have seen this year, this is the densest one-person AI headquarters assembled in 1 room: $640 a month on the API, about $5,000 a month saved on a personal assistant, and between them 5 plugins, 1 clap of the hands, and 1 voice with a British accent.
🚨 Someone built an AI that reads candlestick charts the way GPT reads English.
Trained on 12 billion records from 45 exchanges. Outperforms every model by 93%. Live BTC demo. Free.
It's called Kronos.
The first open source foundation model built for financial markets. Not a general AI repurposed for finance. An AI that speaks the native language of candlestick patterns.
Every other model treats financial data like weather data. Kronos treats financial data like financial data.
Here's what it does:
→ Price forecasting. Feed it candlesticks. It predicts where price goes next.
→ Volatility prediction. Forecasts how volatile an asset will be before it happens.
→ Zero-shot. No fine-tuning. Works on any asset, any market, any timeframe.
→ 45 exchanges. Binance, NYSE, NASDAQ, LSE, and 41 more.
→ 4 model sizes. 4M params runs on a laptop. 499M for max accuracy.
→ Live demo running right now. BTC/USDT. 24-hour forecast. Updated hourly.
Here's the wildest part:
→ 93% more accurate than the leading time series model
→ 87% more accurate than the best non-pretrained baseline
→ All zero-shot. No fine-tuning. Out of the box.
Hedge funds spend millions on proprietary models. Bloomberg Terminal costs $24,000/year.
This runs on your laptop. Few lines of Python. Free.
Built at Tsinghua University. Accepted at AAAI 2026. Models on Hugging Face.
11.6K GitHub stars. 2.4K forks. MIT License.
100% Open Source.
Get it here on GitHub: https://t.co/IdEgklvY0a
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On May 14th, we are hosting a free workshop to help you get started with algorithmic trading with Python.
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Tax expert says parents can write off $15,750 by putting their own kids on payroll
"Put them on payroll, you can pay your child up to $15,750 without your child needing to file a tax return"
"That’s a $15,750 deduction"
"Then from the $15,750, you can take $6,000 and stuff it into the Roth IRA, and that money is growing tax free"
Programming Languages Behind Iconic Games 🎮
• 🎮 GTA: Vice City - C++
• 🎮 GTA V - C++
• 🎮 GTA VI - C++
• ⛏️ Minecraft (Java Ed.) - Java
• 🧱 Minecraft (Bedrock) - C++
• 🔥 Fortnite - C++, Verse
• 🎯 PUBG: Battlegrounds - C++
• 📱 PUBG Mobile - C++
• 💣 Call of Duty: Warzone - C++
• 🧙 League of Legends - C++, Lua
• 🟦 Roblox - C++, Luau
• 🍬 Candy Crush Saga - C++
• 🏰 Clash of Clans - C++
• 🔥 Free Fire - C#, C++
• 👨🚀 Among Us - C#
• 🚇 Subway Surfers - C#
• ⚡ Pokémon GO - C#
-refusing to ask for help
-downplaying your achievements
-isolating yourself instead of communicating
-saying "yes" to everything
-neglecting your own needs
-avoiding important responsibilities
-flooding your mind with negativity
-always chasing perfection
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AI doesn’t have to be expensive.
Paid Apps vs FREE Alternatives 👇
Midjourney → Leonardo AI
ChatGPT Plus → Gemini
Runway → Pika Labs
ElevenLabs → Coqui TTS
https://t.co/fZ6VnapApa → Rytr
Jasper → Writesonic Free
Synthesia → HeyGen Free Tier
D-ID → SadTalker
Perplexity Pro → Perplexity Free
Claude Pro → Claude Free
Gamma → Canva AI
https://t.co/vHrw9CJ6Vg → Clipdrop
Topaz Video → Flowframes
Fireflies AI → tl;dv
https://t.co/8MFf64APHi → Tome
Free AI is catching up fast.
🚨BREAKING: Researchers from Stony Brook, CMU, Yale, UBC, and Fudan just open-sourced a multi-agent LLM system built specifically for high-frequency trading analysis.
It's called QuantAgent and it runs four specialized AI agents simultaneously each analyzing a different dimension of the market then synthesizes everything into a single actionable trade decision with entry points, exit points, and stop-loss thresholds.
Get it on GitHub here: https://t.co/gibVgrzUOj
🚨Want to learn Algorithmic Trading Strategies (that actually work)?
On May 14th, we are hosting a free workshop to help you get started with algorithmic trading with Python.
Register here (500 seats): https://t.co/uBk2SeORef