i genuinely don't understand why everyone isn't doing this yet
Elon Musk posted a simple idea that hit 41 million views:
stop chatting with AI. hire it. give it its own computer, its own memory, its own job
that's literally what Grok Bot is. and the smartest setup right now costs $0 extra:
โ create a bot, name it Brain
โ tell it to build a private wiki of everything you know on its own computer
โ it sets up three folders: raw for sources, wiki for pages, and saves the whole method as a skill
โ drop anything into the chat: article, pdf, youtube link, screenshot. it reads it, links it, files it
โ put ingestion on a routine: every night it pulls what you bookmarked and files it while you sleep
โ ask questions across everything you've ever saved, forever
your laptop stays shut. it grows anyway
five minutes to set up. compounds like interest from day one
Elon is already reposting people who build things with their bots. the ones who started last week have wikis, clients and his retweets
six months from now they'll have a bot that read everything with them. you'll have chat history
full step-by-step guide below
bookmark this before the feed buries it
CLAUDE + OBSIDIAN + LOOP ENGINEERING = AN AGENT THAT LIVES IN YOUR NOTES
Karpathy's second brain runs on something close to this. two years of growth. he barely typed any of it
four steps, on repeat:
1. read - Claude Opus 5 opens the vault, not a chat window
2. write - notes and links change inside a branch
3. check - a critic reads the diff, checks every link
4. keep - the good change sticks. nothing gets touched
cost: 2-4x a single prompt. worth it past a 5% gain. zero notes overwritten. the vault only grows
the whole system runs on six plain files: CLAUDE.md, skills, subagents, hooks, MCP, plugins. no black box
three ways in: a desktop connector for three clicks, Claude Code for full control, or the Obsidian plugin if you never want to leave the app
append, don't overwrite. measure the win before adding a step. never let it rewrite the whole vault in one turn
a loop that never deletes a note is compound interest for your own thinking
somebody just torched their entire career for us
someone inside Anthropic wrote down exactly how they wire their AIs to work as a team instead of one at a time, every number, and let the whole thing walk out the door
it's called Graph Engineering: you stop asking one AI to do the whole job and start running a crew. one plans, a few go and look, one checks the others for lies
their own measurement: the crew came back with 96% of the quality at 46% of the price. same models, same question. they only changed who is allowed to talk to whom
Anthropic raised $65,000,000,000 to figure this out. it costs you $0
run one tonight in a normal chat, 3 moves:
1. give it the job and make it write the plan before it touches anything
2. run each step in its own fresh chat so nothing bleeds into the next
3. in one clean chat at the end, make it check the work against sources and mark whatever it could not confirm
save this, then open the piece below:
how many workers a job actually needs, and where one more starts making it worse โ
Andrej Karpathy spent 8 years at OpenAI and Tesla
Last week, he put everything he knows into one free 2-hour lecture
People pay $15k for bootcamps that teach half of this
You probably don't have 2 hours right now
Don't let this get lost in your feed
Watch it, then read the guide below and build your first loop
I found the official learning path to become a Claude Certified Architect.
If I were preparing from scratch, this is the exact order Iโd follow:
1. Start with Anthropic Academy
Begin with the free training and build your foundation around Claude, Claude Code, the API, MCP and agentic development.
๐ https://t.co/cZfzJVwNRn
2. Learn by building
Donโt just consume courses.
Use Anthropicโs Cookbook to experiment with real implementations and turn concepts into working solutions.
๐ https://t.co/hrrZ3B7lAI
3. Master the core technologies
Go deeper into the technologies youโll actually architect with:
โ Claude API
๐ https://t.co/ziSz6Tnkcl
โ Model Context Protocol (MCP)
๐ https://t.co/rbupAO2xIU
4. Follow the official Architect prep path
Anthropic provides a dedicated preparation path for the Claude Certified Architect โ Foundations certification.
๐ https://t.co/cJQqDBVNlx
5. Study the official Exam Guide
This should be your source of truth.
It covers the exam domains, task statements and sample questions so you know exactly what the certification tests.
๐ https://t.co/gb3UuQAcae
6. Practice scenarios โ not memorization
The exam uses multiple-choice and scenario-based multiple-response questions.
Focus on understanding trade-offs, architecture decisions, deployment choices, cost, security and real-world implementation.
The old practice exam has been retired, so use the sample questions in the official Exam Guide instead.
๐ https://t.co/gb3UuQAcae
7. Register for the exam
Once you're ready, register through Anthropic Partner Academy and schedule your exam through Pearson.
๐ https://t.co/gb3UuQAcae
The goal isn't just to pass another certification.
It's to learn how to design, build and make better architectural decisions for production-grade AI systems.
Save this roadmap. You'll need it.
I just recorded the COMPLETE CLAUDE 3D WEB DESIGN Course
โค๏ธโ๐ฅ Dedicate 1 hour to this. The COMPLETE Claude AI Design Course teaches you to DESIGN and BUILD ANY 3D Game or Website.
Those who watch it tonight will wake up tomorrow with a new skill.
Watch it and save it to your favorites now.
All Paid Courses (Free for First 4500 People)
๐ฃ๐ฎ๐ถ๐ฑ ๐๐ผ๐๐ฟ๐๐ฒ ๐๐ฅ๐๐ (PART - 1)
1. Artificial Intelligence
2. Machine Learning
3. Prompt Engineering
4. Claude,Chatgpt,Grok
5. Data Analytics
6. AWS Certified
7. Data Science
8. BIG DATA
9. Python
10. Ethical Hacking
(72 Hours only )
Like + RT + comment ' Drive '
Must Follow me so I can DM you.
Don't waste 2 years learning to build LLMs like Claude & ChatGPT.
Stanford just dropped a 2 hour course on how to build LLMs from scratch.
โข 00:00 - LLM tokenization
โข 25:44 - how LLMs decode user prompts
โข 35:40 - training pipeline of LLMs
โข 1:16:47 - LLM architecture from scratch
Anthropic pays $750,000/year to engineers who understand this exact knowledge of LLMs.
Bookmark this & give 2 hours today, no matter what. Then read the article below.
This guy bought a $400 Mac mini and walked into a coffee shop with $2,100 for installing an AI agent that never touches the internet.
I had to rewatch this because the pitch is almost too simple. He shows up, plugs in the Mac mini, installs a local AI agent running entirely through Ollama, done in under an hour. Zero cloud dependency, no API bills, no monthly charges bleeding the client dry. The coffee shop owner gets a private AI system that keeps working even if the WiFi dies, and he walks out with $2,100 for an install that takes less time than a long lunch.
The hardware cost him $400. One deployment and the machine's already paid for five times over. Then he locks in a monthly retainer for support, somewhere around $100-150, which means every client after the first is close to pure margin stacking on top of recurring revenue.
Most people hear "AI business" and think they need to build a SaaS platform or learn to code or raise funding from someone. This skips all of that and goes straight to walking into coffee shops with a Mac mini under one arm.
Not a company that scales to a billion dollars, obviously, but a solo operator clearing a few thousand a month from local installs while everyone else is still arguing about which LLM is best on Twitter.
My friend applied to 200 tech jobs in two years. No MIT. No Stanford.
Last month Anthropic offered him $750,000.
I asked him how he broke in from zero.
He sent me the exact video that got him in. Anthropic's 2 hour course on "How to become an AI engineer in 2026"
Their core team shows exactly how to architect & build AI agents from scratch.
I watched it last night.
Halfway through, I realized I could break into an AI lab in weeks, not years.
Bookmark this and read the article below.
โข 00:00 - AI agents with graph engineering
โข 06:41 - AI agent architecture
โข 14:31 - building AI agent loops live
โข 1:15:24 - AI agentic RAG
โข 2:20:42 - Anthropic interview process
ANTHROPIC JUST DROPPED THE OFFICIAL GUIDE TO PROMPTING OPUS 5
This is the most important prompting guide for anyone using Claude.
Bookmark this before you forget.
Most people still prompt Opus 5 like older models. That's the mistake.
> give the complete task upfront โ don't drip-feed instructions.
> explicitly ask for shorter responses if you want them.
> use low/medium effort by default. increase effort only when needed.
> let it finish the entire feature instead of asking for partial implementations.
> use subagents intentionally for large codebases, not every task.
Opus 5 is at its best when you stop micromanaging it and let it own the work.
Read it before writing your next prompt.
Claude โ Opus 5 โ Agentic Execution โ Production-Ready Output โ Money
Iโm just making a statement , even after 6 hours of delay
The flight still has issues, and they are still using the same flight to take us
So if there is any news everyone should know what happened.
@MoCA_Gol @JM_Scindia@RamMNK@AAl_Official@PMOIndia@ANI@PTI_News@ndtv
@MoCA_GoI Flight number: 6E224
Airline name: Indigo
Please help us , people here are stuck in an airport. And this airport has no facilities.
Indigo is compensation to a 5 hour delay on a working day is a bag with granola bar and fruity.
Is this what our timeโs value is @IndiGo6E ??