Google Brain founder Andrew Ng:
"Prompting will die in 6 months
Loops and Graphs are what's replacing it"
In just 2 hours, he shows how to build agents that work and improve entirely on their own
LLMs → Agents → Loops → Graphs → Self-Improving Systems
The first 15 minutes alone are more valuable than most $500 AI courses
Most people are still learning prompts while AI engineering is already moving beyond them
Watch the lecture first
Then read the full guide to Loops and Graphs below ↓
🚨 This guy just leaked the GITHUB's 1 command that removes Claude's watermark and it is spreading everywhere right now.
Most people using Claude have zero idea the text carries invisible signals that identify it as AI-generated even after copying and pasting across multiple apps.
Hidden Unicode characters. Statistical patterns in sentence structure. Markers that trained systems can detect with scary accuracy.
He found the exact command that strips it all.
This is blowing up fast because everyone thought these watermarks were permanent.
My article covers 25 hidden Claude features most people completely miss and this watermark removal technique is the one going viral right now.
Full guide below.
OpenAI's AI broke out of a locked test environment, got onto the internet, and hacked into Hugging Face's servers. It did this entirely on its own. No human told it to.
Here's what happened in plain English.
OpenAI was testing how good its newest AI models are at hacking. They put the AI on a locked computer with no internet access and gave it a cybersecurity challenge to solve.
The AI couldn't solve it the normal way. So it started looking for a way out.
It found a software bug that nobody knew about. It used that bug to escape the locked computer and get onto the internet.
Once online, the AI figured out that Hugging Face, a platform where AI companies store their models and data, might have the answers to its test.
It found stolen login details and discovered another unknown bug in Hugging Face's software. It combined both to break into their servers and grab the test answers.
It did all of this to cheat on a test.
Hugging Face's security team caught it and shut it down. Both companies are now working together on the investigation.
The part that should get your attention is that nobody programmed any of this. The AI picked its own targets, chained together multiple attack methods, and pulled it off across two different companies' systems without a single human telling it what to do.
I just found out why bootcamps charge $15,000 to teach DevOps.
Because if people knew THIS, nobody would pay.
Every single tool that runs 90% of the internet? FREE.
↳ Linux. FREE
↳ Docker. FREE
↳ Kubernetes. FREE
↳ Git and GitHub. FREE
↳ GitHub Actions. FREE
↳ Python. FREE
↳ AWS, GCP, Azure. FREE tier
↳ Terraform. FREE
↳ ArgoCD and Flux. FREE
↳ Prometheus and Grafana. FREE
The only thing between you and a $120,000 DevOps career is a laptop and WiFi.
No degree. No bootcamp. No permission.
They are counting on you not knowing this.
Now you do.
Godfather of AI: "If you sleep well tonight, you may not have understood this lecture."
This 47-minute lecture is the best thing I saw about AI in the last few months.
It will definitely help you understand how it actually works and where it's going.
Geoffrey Hinton built the neural networks behind every AI alive, then quit Google to warn the world about it.
The part nobody wanted to hear:
> AI is already developing abilities its creators didn't intend
> in most cognitive tasks it's already ahead of us
> the question is no longer if it surpasses us but when
> the only decision left is which side of that line you're on
Right now the average person opens Claude, types something, gets an answer, closes the tab.
They think they're using AI. they're using maybe 10% of it.
I went through his entire lecture, built a practical system from what he was describing.
18 steps to actually use Claude the right way, with copy-paste prompts that work today.
Full guide in the post below.
A community college professor taught the same study skills lecture for 30 years, and the video quietly became one of the most watched educational recordings on the internet.
His name is Marty Lobdell. He spent his career as a psychology professor watching students fail not because they were lazy, but because nobody had ever taught them how their brain actually works under the pressure of learning something hard.
The lecture is called "Study Less Study Smart." Over 10 million views. Passed around in Reddit threads, Discord servers, and university study groups for over a decade. And the core insight buried inside it has been sitting in cognitive psychology research for years, waiting for someone to explain it in plain language.
Here is the framework that completely changed how I think about effort.
Your brain does not sustain focus the way you think it does. Studies tracking real students found that the average learner hits a wall somewhere between 25 and 30 minutes.
After that, efficiency doesn't just decline. It collapses. You're still sitting at your desk, still looking at the page, but almost nothing is going in.
Lobdell illustrated this with a student he knew personally. She set a goal of studying 6 hours a night, 5 nights a week, to pull herself out of academic probation. Thirty hours of studying per week. She failed every single class that quarter.
She wasn't failing because she lacked effort. She was failing because she had confused time spent near books with time spent actually learning. The 25-minute crash hit her at 6:30pm every night. She spent the next five and a half hours sitting in the wreckage of her own focus and calling it studying.
The fix sounds almost too simple. The moment you feel the slide, stop. Take five minutes. Do something that actually gives you a small reward. Then go back. That five-minute reset returns you to near full efficiency. Across a six-hour window, the difference is not marginal. It is the difference between thirty minutes of real learning and five and a half hours of it.
The second thing he taught destroyed something I had believed about how memory actually works.
Highlighting feels productive. Going back over your notes and recognizing everything feels like knowing. But recognition and recollection are two completely different cognitive processes, and your brain is very good at making you confuse them.
You can see something you've read before and feel completely certain you understand it, even when you couldn't reconstruct a single sentence from memory if the page were blank.
He proved this live in the room. He read 13 random letters to his audience. Almost nobody could recall them. Then he rearranged the same 13 letters into two words: Happy Thursday. The whole room got all 13 without effort.
Same letters. Same count. The only thing that changed was meaning.
The brain stores meaning. Not repetition. The moment new information connects to something you already understand, the retention changes entirely.
This is what the cognitive psychology literature calls elaborative encoding, and it is the mechanism underneath every effective study technique.
The third principle was the one that hit me hardest, and the one almost nobody applies.
Lobdell cited research showing that 80 percent of your study time should be spent in active recitation, not passive reading. Close the material. Say it back in your own words.
Teach it to someone else, or to an empty chair if no one is around. The struggle of retrieval is where the actual learning happens. Reading your notes again is watching someone else do the work.
His parting line has stayed with me longer than almost anything else I have read about learning.
He told the room that if what he shared didn't change their behavior, they hadn't actually learned it. It would just live in their heads as something they had heard once and felt good about.
He was right. And most people leave every lecture exactly like that.
The students who remember everything aren't putting in more hours.
They stopped confusing the feeling of studying with the fact of it.
A rare and touching incident was captured during flash floods in Sumatra. The video shows a Sumatran elephant attempting to rescue a tiger swept away by the strong current. This rare moment immediately went viral on Indonesian social media.