Heartbroken by the passing of President Ahmed Mohamed Siilaanyo. His leadership and dedication will be remembered by all.
My deepest condolences to his family, and the people of #Somaliland
Inalillah wa ina ilayhi rajicuun.
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.
🚨 BREAKING: Claude can now upgrade your entire Instagram page like a $20K social media manager.
Use these prompts to grow your reach, followers, and sales in 2026!
(🔖 Save this)
A billionaire trader spent 40 years trying to delete this documentary that shows him making $100 million in a single afternoon.
Bookmark & watch today, no matter what.
Someone just open-sourced an entire AI company.
Not an AI tool.
Not a prompt library.
147 AI employees... free.
It exploded to 50,000 GitHub stars in under 2 weeks.
Here's what makes it insane:
→ 147 specialized AI agents across 12 divisions
→ Engineering, Design, Marketing, Product, QA, Support & more
→ Each agent has its own role, personality, workflow, and deliverables
→ Works with Claude Code, Cursor, GitHub Copilot, Gemini CLI & more
→ One-command install
→ Build your own agents or customize existing ones
→ Production-ready templates and real workflows included
The crazy part?
Most people use AI like one overworked intern.
This turns AI into an entire company.
Developers assign specialists instead of asking one chatbot to do everything.
50K+ GitHub stars.
7.5K+ forks.
147 AI agents.
100% open source.
This is what AI development is starting to look like.
(Link in the comments)
🚨 The 48 Laws of Power has sold over 5.5M copies, dominated bestseller charts for years, and is banned in prisons across 18 U.S. states.
Why?
Because it teaches raw, unfiltered power — and yes, manipulation.
So I turned all 48 laws into 12 high-level Claude prompts.
Now you can drop in any social, corporate, or political scenario…
and instantly see: → which law you're breaking
→ what it’s costing you
→ the exact move to flip the situation in your favor
Bookmark this 🔖 — all 12 prompts below 👇
I genuinely don't understand why everyone isn't using this yet
Andrej Karpathy, a co-founder of OpenAI, posted a simple idea that hit 16 million views: stop using AI to write code, use it to build a second brain.
You point Claude Code at a folder, drop in any source, an article, a transcript, a PDF, and Claude reads it, links it, and files it into a living wiki of everything you know. It compounds like interest, the more you feed it, the smarter it gets.
Here's the whole thing:
> Install Obsidian, create a vault, open it in Claude Code
> Paste Karpathy's wiki idea file and tell Claude to build it
> Claude makes three folders: raw for sources, wiki for its pages, a CLAUDE.md that runs it
> Drop any source into raw and say "ingest this"
> Ask questions across everything, forever
Five minutes to set up, and you never start from a blank chat again.
Full step-by-step guide with Claude and Obsidian, link below.
Bookmark this
stop asking Claude one question and thinking you understand the topic. you don't.
Stanford proved a better way. it's called STORM. peer reviewed. 25% more organized output. open source.
the trick: don't ask one question. ask five. from five different experts.
>the practitioner: what do they know that academics miss?
>the skeptic: what's the strongest counterargument?
>the economist: who profits from the current narrative?
>the historian: what pattern has played out before?
>the academic: what does the evidence actually say?
4 prompts. 5 minutes. no software. no GitHub. just paste into Claude.
single prompts give you what everyone already knows.
STORM gives you what nobody else found.
this article has all 4 prompts ready to copy. pick your hardest topic. paste prompt 1. you'll know more in 5 minutes than people who spent days reading.
Eric Schmidt (ex-Google CEO): “if you really want to make money, it’s actually easy. found an agentic AI company.”
If I had only 30 days to do that , I'd begin here and save this:
Agent Architecture
https://t.co/Xyy3e9AjAQ
Claude Code 101:
https://t.co/tZbHeRDWkj
Claude Code in Action:
https://t.co/RDYEVbydhW
Prompt engineering (official):
https://t.co/aYQzAWmObh
Interactive prompt tutorial (hands-on):
https://t.co/5k9My0hYgY
CLAUDE.md & how to give Claude memory:
https://t.co/gtmOGKAvDe
Skills, teach Claude reusable workflows:
https://t.co/DJFqh3E6OB
MCP, time connect Claude to Slack, GitHub, Drive:
https://t.co/XbRdmmcYmP
Routines (automate tasks 24/7):
https://t.co/LGbhOeWWdJ
Claude Code Ultimate Guide (community):
https://t.co/56DAmEuqH8
Awesome Claude Code (skills, hooks, plugins):
https://t.co/jUIBuxvV5K
All 13 Anthropic Academy courses (free certs):
https://t.co/rHn0gDmtGH
Claude Code full docs:
https://t.co/KYHnapDdHG
All of this is for free at $0/month
Then read this guide by this builder
Microsoft just banned its own engineers from using AI.
The tool was literally costing MORE than the humans it was supposed to replace.
They lied to you about AI adoption and now the whole narrative is blowing up:
Microsoft gave thousands of engineers access to Claude Code six months ago and encouraged them to use it.
Engineers loved it and adoption exploded. But then the invoices arrived.
Token-based pricing means every query, every code review, every debugging session costs money. At scale across 100,000 engineers, the numbers became so large that Microsoft issued an internal order to cancel nearly all Claude Code licenses by end of June and force everyone onto their own cheaper tool instead.
The company that invested $5 billion in Anthropic just told its own people to stop using Anthropic's product because it costs too much.
Uber's story is even worse...
Their CTO Praveen Neppalli Naga told The Information that the budget he planned for the full year was "blown away already" by April.
Uber had rolled out Claude Code in December 2025. By March, 84% of their 5,000 engineers were using it with 70% of all committed code coming from AI systems.
Heavy users were burning $500 to $2,000 per month each. Naga himself spent $1,200 in a single two-hour demo session.
The company had even built internal leaderboards ranking engineers by how much AI they used. They literally gamified the spending and then ran out of money.
Now look at what Nvidia's own VP of applied deep learning Bryan Catanzaro said to Axios last month. Direct quote:
"For my team, the cost of compute is far beyond the costs of the employees."
This is a VP at the company that SELLS the chips saying that using AI is more expensive than paying humans.
Think about what this means for the entire AI narrative.
Every CEO on every earnings call for the past two years has said the same thing:
AI will make us more efficient, reduce headcount, and cut costs.
The stock market rewarded every company that said it.
Fired workers, stock goes up. Announced AI adoption, stock goes up.
But the actual companies deploying AI at scale are discovering the math doesn't work. The MORE employees use AI, the HIGHER the bill.
Goldman Sachs forecasts a 24x increase in token consumption by 2030 as companies adopt AI agents. Gartner just published a report showing that even though individual token prices will drop 90% by 2030, total enterprise AI costs will go UP because agents consume exponentially more tokens per task than basic tools.
Meta built an internal dashboard called "Claudeonomics" to track which employees use the most AI. Amazon started pushing engineers to "tokenmaxx," their internal term for consuming as many AI tokens as possible.
Both companies are spending hundreds of billions on AI infrastructure this year alone.
And Microsoft, the company that bet its entire future on AI, just told 100,000 engineers to stop using the tool they liked best because the per-token bills got out of control.
The companies building AI are telling investors it saves money. The companies using AI are finding out it costs more than the humans it was supposed to replace. And even the company that makes the chips just admitted it through its own VP.
This is the gap nobody on Wall Street is pricing in.
$725 billion in AI infrastructure spending this year across Big Tech. And the first companies to actually deploy these tools at scale are already pulling back because the economics don't work.
What do you think?