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"Law and order 🛡️📜 are the medicine 💊🩺 of the body politic 🌍💪, and when the body politic 🌍🤒 gets sick 🌡️🤕, medicine 💊 must be administered. 💪🩺" : Dr Ambedkar's thought @Profdilipmandal@CsPunjab
MIT offers 12 Books on AI & ML (FREE TO DOWNLOAD):
1. Foundations of Machine Learning
https://t.co/VjLctBgzJ7
2. Understanding Deep Learning
https://t.co/93yQadAkyi
3. Algorithms for ML
https://t.co/FdyVDGVuEG
4. Reinforcement Learning
https://t.co/ISdcSdKu0V...
5. Introduction to Machine Learning Systems
https://t.co/0lWm6uHRUM…
6. Deep Learning
https://t.co/tOUkNlN75w
7. Distributional Reinforcement Learning
https://t.co/ixgPQJdbp1…
8. Multi Agent Reinforcement Learning
https://t.co/LtCdPLjUd4
9. Agents in the Long Game of AI
https://t.co/ixgPQJdbp1…
10. Fairness and Machine Learning
https://t.co/Ynuat7qxSX
11. Probabilistic Machine Learning
❯ Part 1 : https://t.co/rO5pFBf8Ek…
❯ Part 2 : https://t.co/dfHX0VHY28…
MIT offers 12 Books on AI & ML (FREE TO DOWNLOAD):
1. Foundations of Machine Learning
https://t.co/nEAFXBpjbv
2. Understanding Deep Learning
https://t.co/kVOi4KIsKB
3. Algorithms for ML
https://t.co/ocE5uovcEA
4. Reinforcement Learning
https://t.co/WwKX2VBxht...
5. Introduction to Machine Learning Systems
https://t.co/TjN5Ekdo2W…
6. Deep Learning
https://t.co/Asrfeoitmg
7. Distributional Reinforcement Learning
https://t.co/S0TQ0TAgoK…
8. Multi Agent Reinforcement Learning
https://t.co/w167UbDVjD
9. Agents in the Long Game of AI
https://t.co/S0TQ0TAgoK…
10. Fairness and Machine Learning
https://t.co/g7vnQB5agb
11. Probabilistic Machine Learning
❯ Part 1 : https://t.co/hrVvYvkyy3…
❯ Part 2 : https://t.co/K7KIsjqx3H…
Stop writing 500-word prompts.
This 29-word prompt writes better than all of them:
"Read my anti-AI writing style file first. It contains every known pattern of AI writing I want to avoid. Apply these as rules to everything you write for me."
That's it.
But you need to set it up first. Here's how:
Step 1. Go to Wikipedia.
Step 2. Search "Signs of AI writing."
Step 3. Copy the entire page.
Step 4. Paste it into a Google Doc. Don't edit.
Step 5. Name it "anti-ai-writing."
Step 6. Download as .md format.
Step 7. This is your "what NOT to sound like" file.
Or skip all of that. To download the anti-AI guide:
Step 1. Go to https://t.co/psB7XxAv8w.
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. Download my .md files. Ready to upload.
Step 6. Upload it to Claude. Prompt:
"Read the uploaded file. It contains every known pattern of AI writing I want to avoid. Apply these as rules to everything you write for me. Do NOT start writing yet - ask me clarifying questions first."
✦ Here's why your prompts don't work (red flags):
"Don't use jargon."
"Don't sound like an AI."
"Don't use buzzwords or filler."
"Avoid passive voice."
"Be conversational, not robotic."
These are everywhere. LinkedIn posts. Emails.
They sound thorough. The output is still garbage.
Your prompt says "don't" 14 times. The model forgets half by sentence three. You're fighting the AI with a wall of "don'ts." It doesn't work at scale.
The fix is counterintuitive.
Stop telling the AI what to avoid.
Give it a file that shows what to avoid.
The model reads 1,168 lines of bad patterns, internalizes them, and writes clean.
500-word prompt → still robotic.
Small prompt + 1 file → reads as a human wrote it.
1. To get access, go to https://t.co/psB7XxAv8w.
2. The Claude guide at https://t.co/jw2qdIbLxJ.
3. The Claude cowork guide at https://t.co/uWTpOI3oyE.
🚨 Someone just open-sourced the most complete AI engineering library on the internet.
It's called AI Engineering Hub.
Here's what's inside:
→ Agentic RAG pipelines from scratch
→ Multi-agent systems with CrewAI, AutoGen, LangGraph
→ MCP server implementations (10+ real use cases)
→ Voice agents with real-time streaming
→ Fine-tuning DeepSeek with Unsloth on consumer GPUs
→ NotebookLM clone with RAG + citations + podcast generation
→ Multi-agent deep researcher that runs on Windows AND Linux
→ Context engineering workflows from beginner to production
Here's what nobody talks about: there are 3 difficulty tiers.
22 beginner projects. 48 intermediate. 23 advanced.
You can go from "what is RAG" to deploying production AI agents with persistent memory in a single repo.
The projects that hit different:
ClawWork-style financial agents. Paralegal crew with RAG. Stock portfolio analysis with a React frontend. A full NotebookLM clone. A reasoning model you build yourself from scratch.
This isn't a tutorial collection.
It's an AI engineering curriculum disguised as a GitHub repo.
100% Open Source. MIT License.
How to master Claude in 2 minutes
I used it to learn coding, copywriting, marketing, etc.
No courses. No mentors. Just AI.
Here’s my exact process;
It covers:
→ Act as a (Role)
→ Create a [Task]
→ Features
→ Directives for Tailored Responses
→ Show as (Format)
→ Learn from ChatGPT
----------------------
Learn AI for free 👉 https://t.co/4WEL9FsyLJ
🔄 REPOST to help others know this,
👉 Follow Awa K. Penn for amazing content.
Claude can make you more money than anything before.
So I built the Advanced Claude Mastery Course
• 80+ Chapters
• 1000+ New AI tools
• 2000+ New ClaudePrompts
100% FREE for the next 48hrs only
Just:
• Like
• Follow
• Repost
• Reply "Claude"
Must follow me to get DM. Free for 48 hours.
Deepseek got called out for scraping 150k Claude messages. So I'm releasing 155k of my personal Claude Code messages with Opus 4.5.
I'm also open sourcing tooling to help you fetch your data, redact sensitive info & make it discoverable on HF - link below to liberate your data!
💥 $18,000 from 10 simple videos.
Plot twist?
I sent cartoon characters to jail. 😂
No camera.
No fancy software.
No editing skills.
Just one smart idea the algorithm loved 🚀
Comment “Cartoon” & I’ll send the full breakdown.
(Follow so I can DM you)