Earn $27 per song you listen:
have prepared a list of 13 Websites that'll pay you $100/hr for listening the music With Just a Smartphone or Laptop and Internet.
For absolutely FREE:
To get it:
1. Follow Me
2. Like and Retweet
3. Reply with "Send"
🚨 BREAKING: Claude has a feature called Resume Mode.
It pulls your CV out of the pile and into an interview, like a recruiter rewrote it for you.
Here are 6 prompts to start:
📌 Save this
YOUR CHILD MIGHT BE STRUGGLING AT SCHOOL AND NEVER TELL YOU.
Not because they don’t trust you.
Sometimes, they just don’t know how to start the conversation.
Stop asking “How was school?”
Ask these 7 questions instead. 🧵
19 year old self taught coder built a cross exchange arbitrage bot with Claude Code in 36 hours.
Used a $40 VPS and free APIs.
First night: $2,180 profit.
Starting capital: $52.
Total so far: $186,000.
The bot watches 40+ pairs across Binance, Bybit and OKX every 800ms.
It only enters when the price gap is already confirmed on one exchange and still open on another.
No prediction. No chart watching. Just speed.
He wrote the full logic in Claude Code, connected the APIs, and let it run.
Most people are still manually checking charts.
This setup finds the gap and exits before the spread closes.
I'm giving the exact Claude Code prompt + setup for free (24 hours).
1. Comment " ARB "
2. Like & RT
3. Follow @Tec_with_Luis so I can DM it.
Poor cat family’s fairy tale 🐱💰
From a leaking roof to a glowing gem in the mine…
then a luxury car and a mansion!
Dreams don’t come true by wishing — you have to fight for them 💪
#CatStory#AIArt#RagsToRiches
19 year old Japanese student built a trading bot with Claude Code in 2 days.
Used his iPad as a second monitor.
First night: $6,732 profit.
Starting capital: $68.
Total profit so far: $750,000.
[ 𝐍𝐨𝐭𝐞: 𝐅𝐨𝐥𝐥𝐨𝐰 𝐌𝐞 @david_marco45 𝐅𝐨𝐫 𝐢𝐧𝐬𝐭𝐚𝐧𝐭𝐥𝐲 𝐚𝐮𝐭𝐨 𝐃𝐌]
Here's how it works👇
The bot scans over 50 markets simultaneously.
Syncs live BTC data from Binance every second.
Spots price errors before humans even notice.
The edge is pure speed + pattern recognition.
While traders stare at charts trying to predict the next move, his bot is already executing on mispricing across dozens of markets.
No guessing.
No emotions.
No hesitation.
Just Claude Code logic finding gaps that close in seconds.
He built the entire system in 48 hours:
→ Claude Code handles the trading logic
→ Binance API feeds real-time BTC data
→ iPad displays multi-market monitoring
→ Executes trades when arbitrage windows open
The system runs 24/7.
Every price dislocation = profit opportunity.
Most people are still trading manually, refreshing charts, second-guessing entries.
Meanwhile this 19 year old engineering student turned $68 into $750K by letting Claude Code do what humans can't: process 50 markets instantly and execute without fear.
Why are people still trading manually?
I'm giving away the exact Claude Code setup for free.
24 hours only.
To get it 👇
1️⃣ Comment " Claude "
2️⃣ Like and Repost
3️⃣ Follow @david_marco45
(so I can send it via DM)
SpaceXAI engineer (ex-Cursor):
"Less than 1% of the world has ever touched Cursor, Claude Code or Codex. That gap is the biggest opportunity of your career
I write 0% of my code by hand now. Agents ship it, I decide what gets built"
In 76 minutes, engineers from SpaceXAI, Google DeepMind and Thinking Machines break down how to get hired at a tier-1 AI lab in 2026
300 applications → 297 rejections → a PhD-level role at DeepMind with no PhD
Side Projects → Hackathons → Agents → Tier-1 AI Lab
This panel is worth more than most $2,000 AI career courses
Bookmark and watch it today
Then read how to build a team of AI agents from scratch in the article below ↓
The Jean Phil trend proves that a simple idea can make a fun video.
Try this twist: one mannequin steals a phone, the other throws a product, and the impact transforms the scene into a full-color product moment.
Coordinate the rendering with Codex, then polish the editable draft in CapCut Web.
#capcutweb #capcutchatgptplugin #capcutmarketing #capcutcodex
𝗜𝗙 𝗬𝗢𝗨 𝗪𝗔𝗡𝗧 𝗧𝗢 𝗨𝗡𝗗𝗘𝗥𝗦𝗧𝗔𝗡𝗗 𝗔𝗜, 𝗦𝗧𝗔𝗥𝗧 𝗛𝗘𝗥𝗘.
Everyone is using LLMs.
Very few people actually understand what happens behind the prompt.
Here are 30 concepts that give you the foundation:
01 — 𝗟𝗟𝗠
The model that understands and generates human-like language.
02 — 𝗧𝗢𝗞𝗘𝗡𝗜𝗭𝗔𝗧𝗜𝗢𝗡
Text is broken into smaller units called tokens before the model processes it.
03 — 𝗖𝗢𝗡𝗧𝗘𝗫𝗧 𝗪𝗜𝗡𝗗𝗢𝗪
The amount of information the model can consider at once.
04 — 𝗣𝗔𝗥𝗔𝗠𝗘𝗧𝗘𝗥𝗦
Learned values that shape how the model generates predictions.
05 — 𝗧𝗥𝗔𝗜𝗡𝗜𝗡𝗚 𝗗𝗔𝗧𝗔
The massive datasets used to teach models patterns in language and information.
06 — 𝗣𝗥𝗘𝗧𝗥𝗔𝗜𝗡𝗜𝗡𝗚
The initial stage where a model learns broad patterns from large datasets.
07 — 𝗙𝗜𝗡𝗘-𝗧𝗨𝗡𝗜𝗡𝗚
Additional training that adapts a model toward specific tasks or domains.
08 — 𝗜𝗡𝗦𝗧𝗥𝗨𝗖𝗧𝗜𝗢𝗡 𝗧𝗨𝗡𝗜𝗡𝗚
Teaches models to better follow human instructions.
09 — 𝗥𝗟𝗛𝗙
Uses human feedback to improve model behavior and responses.
10 — 𝗣𝗥𝗢𝗠𝗣𝗧
The instruction or input you give to an AI model.
11 — 𝗦𝗬𝗦𝗧𝗘𝗠 𝗣𝗥𝗢𝗠𝗣𝗧
Defines the model's role, behavior, rules, and constraints.
12 — 𝗙𝗘𝗪-𝗦𝗛𝗢𝗧 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚
Give examples in the prompt so the model understands the pattern you want.
13 — 𝗭𝗘𝗥𝗢-𝗦𝗛𝗢𝗧
Ask the model to perform a task without providing examples.
14 — 𝗧𝗘𝗠𝗣𝗘𝗥𝗔𝗧𝗨𝗥𝗘
Controls how predictable or varied the generated output can be.
15 — 𝗧𝗢𝗣-𝗞 / 𝗧𝗢𝗣-𝗣
Control which possible next tokens the model can consider during generation.
16 — 𝗠𝗔𝗫 𝗧𝗢𝗞𝗘𝗡𝗦
Limits how much text the model can generate in a response.
17 — 𝗛𝗔𝗟𝗟𝗨𝗖𝗜𝗡𝗔𝗧𝗜𝗢𝗡
When a model produces information that is incorrect, unsupported, or made up.
18 — 𝗚𝗨𝗔𝗥𝗗𝗥𝗔𝗜𝗟𝗦
Rules and controls designed to keep AI behavior safer and more reliable.
19 — 𝗘𝗠𝗕𝗘𝗗𝗗𝗜𝗡𝗚𝗦
Convert information into numerical representations that capture semantic relationships.
20 — 𝗩𝗘𝗖𝗧𝗢𝗥 𝗗𝗔𝗧𝗔𝗕𝗔𝗦𝗘
Stores embeddings so relevant information can be retrieved efficiently.
21 — 𝗥𝗔𝗚
Retrieval-Augmented Generation connects an LLM with external knowledge before generating an answer.
22 — 𝗔𝗜 𝗔𝗚𝗘𝗡𝗧
An AI system that can plan, use tools, and take actions toward a goal.
23 — 𝗧𝗢𝗢𝗟𝗦
External capabilities that let AI search, calculate, access data, execute code, or perform actions.
24 — 𝗔𝗣𝗜
A connection that allows software and AI systems to communicate with other applications and services.
25 — 𝗠𝗨𝗟𝗧𝗜𝗠𝗢𝗗𝗔𝗟 𝗔𝗜
Models that can work across multiple types of information such as text, images, audio, and more.
26 — 𝗖𝗢𝗡𝗧𝗘𝗫𝗧 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥𝗜𝗡𝗚
Designing the right information, memory, tools, and instructions around a model.
27 — 𝗥𝗘𝗧𝗥𝗜𝗘𝗩𝗔𝗟
Finding the most relevant information from an external knowledge source.
28 — 𝗙𝗜𝗡𝗘-𝗚𝗥𝗔𝗜𝗡𝗘𝗗 𝗖𝗢𝗡𝗧𝗥𝗢𝗟
Techniques that give developers more precise control over model behavior and outputs.
29 — 𝗖𝗛𝗔𝗜𝗡 𝗢𝗙 𝗧𝗛𝗢𝗨𝗚𝗛𝗧
A reasoning approach where complex problems are handled through intermediate reasoning steps.
30 — 𝗚𝗘𝗡𝗘𝗥𝗔𝗧𝗜𝗩𝗘 𝗔𝗜
AI systems capable of generating new content such as text, images, audio, video, and code.
𝗧𝗛𝗘 𝗕𝗜𝗚 𝗣𝗜𝗖𝗧𝗨𝗥𝗘
LLM → understands language
RAG → brings external knowledge
Tools → give AI capabilities
APIs → connect systems
Agents → plan and take action
That’s the foundation behind many modern AI products.
𝗦𝗮𝘃𝗲 𝘁𝗵𝗶𝘀 𝗹𝗶𝘀𝘁. 𝗜𝗳 𝘆𝗼𝘂 𝗹𝗲𝗮𝗿𝗻 𝘁𝗵𝗲𝘀𝗲 𝗰𝗼𝗻𝗰𝗲𝗽𝘁𝘀, 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗔𝗜 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝗺𝘂𝗰𝗵 𝗲𝗮𝘀𝗶𝗲𝗿.
Follow @AamirAnsar94694 for more AI concepts, tools and practical tech insights.
#AI #LLM #ArtificialIntelligence #GenerativeAI #AIAgents #RAG #MachineLearning #AIEngineering
19 year old Japanese student built a trading bot with Claude Code in 2 days.
Used his iPad as a second monitor.
First night: $6,732 profit.
Starting capital: $68.
Total profit so far: $750,000.
[ 𝐍𝐨𝐭𝐞: 𝐅𝐨𝐥𝐥𝐨𝐰 𝐌𝐞 @TechByKillian 𝐅𝐨𝐫 𝐢𝐧𝐬𝐭𝐚𝐧𝐭𝐥𝐲 𝐚𝐮𝐭𝐨 𝐃𝐌]
Here's how it works👇
The bot scans over 50 markets simultaneously.
Syncs live BTC data from Binance every second.
Spots price errors before humans even notice.
The edge is pure speed + pattern recognition.
While traders stare at charts trying to predict the next move, his bot is already executing on mispricing across dozens of markets.
No guessing.
No emotions.
No hesitation.
Just Claude Code logic finding gaps that close in seconds.
He built the entire system in 48 hours:
→ Claude Code handles the trading logic
→ Binance API feeds real-time BTC data
→ iPad displays multi-market monitoring
→ Executes trades when arbitrage windows open
The system runs 24/7.
Every price dislocation = profit opportunity.
Most people are still trading manually, refreshing charts, second-guessing entries.
Meanwhile this 19 year old engineering student turned $68 into $750K by letting Claude Code do what humans can't: process 50 markets instantly and execute without fear.
Why are people still trading manually?
I'm giving away the exact Claude Code setup for free.
24 hours only.
To get it 👇
1️⃣ Comment " Claude "
2️⃣ Like and Repost
3️⃣ Follow @TechByKillian (so I can send it via DM)
Technology advances when people keep building.
AI is a perfect example of that.
New ideas are constantly challenging the limits.
Open communities help accelerate innovation.
The future belongs to curious builders. 💡
Earn $27 per song you listen:
have prepared a list of 13 Websites that'll pay you $100/hr for listening the music With Just a Smartphone or Laptop and Internet.
For absolutely FREE:
To get it:
1. Follow Me
2. Like and Retweet
3. Reply with "Send"
Police are allowed to walk up to your house, knock on your door, and try to talk their way into a conversation or a search.
It’s a real tactic with a name, the “knock and talk.”
What most folks don’t know is how little it entitles them to do
The secret to better short-form content is making every second count. ⚡
From the opening hook to the final scene, APOB AI and Seedance 2.5 help creators develop structured 30-second videos with a clear visual direction.
Pair that workflow with an AI influencer to create engaging content for Reels, Shorts, and other social platforms. 🚀