Introducing the CIA for Meta ads.
You no longer need to rely on Meta’s Algorithm.
For the first time, you can choose the exact devices your ads go to.
Name a store, event or any location and Punk shows your Meta ads to the phones that were there.
Built by talent from Anthropic, BCG and… a rave DJ.
First 100 users get a cracked campaign built 1:1 with me.
Attackers have AI agents probing open-source code 24/7 & we think maintainers should too!
CodeRabbit ran Deep Scans on 1,125 public repos with 1,215 high or critical findings, 75 of which are already fixed.
Your first Deep Scan is on us, up to $1K for orgs with 2+ people.
Sam Altman created the most ruthless model in the world
we built the biggest mafia-like game ever
> 250.000 humans playing with/against AI
we found:
@OpenAI → maniac LIARS
@spacexai → by far the most LOYAL
@AnthropicAI → the biggest SNITCH
we also added a flybrain ;)
GITHUB JUST CREATED AN OFFICIAL CERTIFICATION FOR THE MOST IN-DEMAND DEVELOPER ROLE OF 2026.
It is called Agentic AI Developer.
GH-600.
And it is the first formal signal that running AI agent teams is now a recognized engineering discipline with a credential behind it.
Not a prompt engineer.
Not a vibe coder.
An Agentic AI Developer.
The person who operates, supervises, and integrates AI agents across the entire software development lifecycle.
The person who knows where agents fail in production.
The person who understands how to build autonomous workflows that do not introduce catastrophic failure modes into CI/CD pipelines.
The person every engineering team is going to need and almost none of them have right now.
GitHub certifying this role changes the hiring conversation permanently.
Before GH-600: "Do you work with AI agents?" is an interview question with no standard answer.
After GH-600: the credential tells the hiring manager exactly what you know and what you can do before the interview starts.
The engineers who get certified in the first wave of GH-600 will have a credential for a role that has more demand than supply for the next 3 to 5 years.
The engineers who wait until it is mainstream will be competing with everyone who moved first.
If you are already working with GitHub Copilot or building agent-driven workflows you are already doing this job.
GH-600 is how you prove it.
Bookmark this.
Frontier coding performance at up to 20x lower cost.
Introducing the world’s most cost-efficient harness: Reason
Stop burning thousands on runaway agent bills.
Reason outperforms top harnesses on Terminal-Bench and DeepSWE while dropping cost per task to a fraction of the frontier baseline.
Comment “Reason” and we’ll send you early access + free compute credits.
Try for free:
https://t.co/B31tg4p00k
Morning sex according to guys:
• Already awake… for obvious reasons
• A little poke to get her attention
• "You up?"
• Somehow finished before the alarm 😅
Morning sex according to girls:
• Woken up mid-dream. Confused.
• Morning breath panic
• Desperately needs to pee
• Brain still loading… 12%
• Alarm goes off. He's done. She was just warming up.
The future belongs to those who learn AI today. 🚀
AI is not replacing everyone.
But people who know how to use AI may have a huge advantage.
Learn. Adapt. Build. Repeat. 🔥
Are you learning AI in 2026? 👇
🚀 Explore the World of AI!
From content creation to coding, design, video editing, and productivity — AI tools are changing the future.
Work smarter, create faster, and achieve more with the power of AI. 🤖🔥
Which AI tool is your favorite? Let us know in the comments! 👇
The future belongs to those who learn AI today. 🚀
AI is not replacing everyone.
But people who know how to use AI may have a huge advantage.
Learn. Adapt. Build. Repeat. 🔥
Are you learning AI in 2026? 👇
An AI agent telling me “the fix is done” isn't enough.
I want to see it open the app, test the changes, and show me what actually happened.
@expo Simulators lets agents do that on a cloud iOS Simulator, with screenshots and recordings to back up their work.
I'd rather review proof than just trust the code.
Does the framing support the moment? Can the team read the mood? What still needs to be found on location? Bonus question: what did this draft tempt the team to overdesign?