All I want is to be respected and loved by the people those who are around me,power is optional not priority but if it's earned then who don't want it.some sports car, bikes,watches,good and peaceful home,domination is must in respective field.Nothing much, ok now back to work🫡
Christian missionaries were routing funds into India using foreign debit cards.
The network channelled ₹93 crore for religious conversion activities in just six months.
How this multi-level marketing-style conversion funding racket operated, @RitikaChandola explains.
Ex-Google engineer just dropped 1-hour course: loops, self-improving AI, memory systems - from scratch:
00:00 - the self-building agent
03:01 - soul.md runs everything
30:16 - RAG memory: pull 20 messages, not 2,000
31:48 - the loop that knows when to stop
35:14 - find the bug, fix the prompt
50:22 - how Claude compresses your memory
1 hour of his guide beats any paid agent course
watch & bookmark - then read Karpathy's loop method below
How to become AI engineer in next 6 months:
By the end, you want to be able to:
- build LLM apps end-to-end
- use APIs from OpenAI / Anthropic / open-source stacks
- design prompts and context properly
- add tool calling and structured outputs
- deploy real projects
So, let’s discuss your roadmap month by month
Month 1: Get solid enough in coding and fundamentals
What to learn:
- Python really well
- Git + GitHub
- CLI / terminal basics
- JSON, APIs, HTTP, async basics
- basic SQL
- basic data handling with pandas
- virtual environments, package management, error handling
- FastAPI or Flask
Month 2: Master LLM app development
What to learn:
- prompting fundamentals
- system vs user instructions
- structured outputs / JSON schemas
- function/tool calling
- streaming responses
- conversation state
- cost / latency / token basics
- failure handling
- prompt injection awareness
Month 3: Learn RAG properly
What to learn:
- embeddings
- chunking
- vector databases
- metadata filtering
- reranking
- retrieval quality issues
- hallucination reduction
- citations and grounding
Month 4: Agents, tools, workflows, evals
- agent loops
- tool selection
- state management
- retries
- when NOT to use agents
- multi-step workflows
- evaluation harnesses
- task success metrics
Month 5: Deployment, product thinking, and reliability
What to learn:
- FastAPI production patterns
- Docker
- background jobs
- queues
- auth + API key security
- logging
- observability
- prompt/version management
- eval dashboards
- cost monitoring
- rate limits
- caching
Month 6: Specialize and become hireable
these knowledge and skills you gained can be applied in three directions
you need to choose one of them and focus on practice
although everything mentioned above is also best learned purely through practice
Direction 1: AI product engineer
Best if you want startup jobs fast
Focus on:
- LLM apps
- RAG
- agents
- deployment
- product UX
Direction 2: Applied ML / LLM engineer
Focus on:
- fine-tuning
- when to fine-tune vs prompt
- evaluation
- inference optimization
- open-source models
- training pipelines
Direction 3: AI automation engineer
Focus on:
- workflow orchestration
- business process automation
- multi-tool systems
- CRM, docs, email, support, ops use cases
This roadmap will help you go through a practical path, and the key is to study each of these points and then test them in real work
By month six, you will already have several built products or examples of completed tasks
And it will be much easier to get a job as an AI engineer
Save it so you don't lose it and can return to study later
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 new skill.
Watch it and Bookmark it now
My friend makes $1.2 million a year as an Anthropic engineer.
I asked him how he learned prompting so well.
He sent me a video that was never supposed to get out. Their core team's prompting playbook.
You won’t find anything better about prompting than this video.
I watched it last night.
Halfway through, I realized I've been using Claude completely wrong for two years.
Watch it, then read the article below.
🚨 Anthropic just showed a 24-minute workshop on how to actually do prompts for Claude.
Taught by the people who built it.
Free. No registration. No paywall.
I've seen $300 courses that don't cover what they teach in the first 8 minutes.
Watch it and bookmark it now.
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.
The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.
Access to all other Claude models is not affected.
We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.
Read our full statement: https://t.co/bwn0sximKZ
Full Forms Everyone Should Know 🔥
1) KYC~ Know Your Customer
2) IFSC~ Indian Financial System Code
3) PAN~ Permanent Account Number
4) UPI~ Unified Payments Interface
5) OTP~ One Time Password
6) PIN~ Personal Identification Number
7) KCC~ Kisan Credit Card
8) EMI~ Equated Monthly Instalment
9) GST~ Goods and Services Tax
10) ATM~ Automated Teller Machine
11) Wi-Fi~ Wireless Fidelity
12) PDF~ Portable Document Format
13) SMS~ Short Message Service
14) MMS~ Multimedia Messaging Service
15) CCTV~ Closed Circuit Television
16) 4G~ Fourth Generation
17) 5G~ Fifth Generation
18) www~ World Wide Web
19) E-MAIL~ Electronic Mail
20) FTP~ File Transfer Protocol
21) IP~ Internet Protocol
22) OS~ Operating System
23) LAN~ Local Area Network
24) MAN~ Metropolitan Area Network
25) WAN~ Wide Area Network
26) GPS~ Global Positioning System
27) VPN~ Virtual Private Network
28) VIRIUS~ Vital Information Resources Under Siege
🇮🇱🇮🇳 WELCOME TO ISRAEL, PRIME MINISTER MODI 🇮🇳🇮🇱
A warm welcome from the @jerusalempost, on behalf of all of Israel, to our incredible ally, Prime Minister @narendramodi.
Israel looks forward to strengthening our friendship, deepening our partnership, and building an even stronger future together.
We know this will be an important and meaningful visit.
God bless you.
God bless the people of India.
1/ Market Sizing & TAM Analysis
You are a McKinsey-level market analyst. I need a Total Addressable Market (TAM) analysis for [YOUR INDUSTRY/PRODUCT].
Please provide:
• Top-down approach: Start from global market → narrow to my segment
• Bottom-up approach: Calculate from unit economics × potential customers
• TAM, SAM, SOM breakdown with dollar figures
• Growth rate projections for the next 5 years (CAGR)
• Key assumptions behind each estimate
• Comparison to 3 analyst reports or market research firms
Format as an investor-ready market sizing slide with clear methodology.
Context: My product is [DESCRIBE PRODUCT], targeting [TARGET CUSTOMER] in [GEOGRAPHY].
Google isn’t trying to win the AI race.
They’re trying to own the entire AI Agent ecosystem.
While everyone argues ChatGPT vs Claude, Google quietly built:
Models → Gemini Pro, Flash, Deep Think, Gemma
Design → Stitch, Whisk, Imagen
Research → NotebookLM, AI Mode
Video → Veo, Flow, Google Vids
Coding → Antigravity IDE, Gemini CLI, Jules
Agents → A2A, ADK, FileSearch API
The scary part?
All of these tools talk to each other.
That means:
10x faster prototypes
End-to-end AI workflows
Production-ready agents on GCP
The next AI war won’t be model vs model.
It’ll be ecosystem vs ecosystem.
I mapped this stack out here:
https://t.co/G3hahQclKI
Save. Share. Build.
Europe and India are making history today.
We have concluded the mother of all deals.
We have created a free trade zone of two billion people, with both sides set to benefit.
This is only the beginning.
We will grow our strategic relationship to be even stronger.
OpenAI, Google, and Anthropic just published guides on:
• Prompt engineering
• Building agents
• AI in business
• 601 AI use cases
9 of the best guides you can't miss:
If I have to pick ONLY FIVE Courses to learn AI & ML from scratch,
❯ CS221 - Artificial Intelligence
❯ CS229 - Machine Learning
❯ CS230 - DL
❯ CS234 - RL
❯ CS336 - LLM
These courses could cost $100K. But Stanford is offering these for FREE on YouTube: