Why Did the Strongest Man Alive Almost D!e of Thirst? ⚔️女
He had just single-handedly defeated a thousand men with the jawbone of a donkey. But moments later, the man who could tear lions apart...
Officer Miller responded to a call at a local grocery store. The manager had caught a shoplifter. When Officer Miller arrived, he expected to see a teenager stealing candy or a professional thief. Instead, he saw an elderly man, around 80 years old, sitting on a bench in the security office, staring at the floor.
“He tried to leave with a loaf of bread, a carton of eggs, and a small bag of dog food,” the manager said. “We have a zero-tolerance policy. I want to press charges.”
Officer Miller looked at the items. The total value was maybe $12.
He sat down next to the old man.
“Sir, why did you do it?”
The man’s hands were shaking.
“My Social Security check was late,” he whispered. “I haven’t eaten in two days. And my dog… my dog is hungry. I can handle being hungry, but I couldn’t stand watching him look at me like that anymore.”
Officer Miller looked at the man’s worn shoes and thin jacket. He thought of his grandfather.
Officer Miller stood up and turned to the manager.
“I’ll take it from here.”
He escorted the old man to the checkout counter. The manager assumed he was walking him out of the store. But Officer Miller stopped.
He picked up the bread, eggs, and dog food. Then he added a rotisserie chicken, milk, vegetables, and a large bag of high-quality dog food. He pulled out his credit card and paid for everything.
“Sir, you’re not going to jail today,” Officer Miller said to the old man. “You’re going home to feed your dog.”
The old man began to cry right there in the middle of the store.
“Why?” he sobbed. “I broke the law.”
“Sometimes the law is black and white,” Officer Miller said. “But humanity is gray. In this city, we take care of our elders.”
Officer Miller drove the man home and helped him put the groceries away. He gave him his personal cell phone number.
“Next time you’re hungry, don’t steal,” Miller said. “Call me.”
The police department later shared a photo of the receipt. It went viral, reminding everyone that being a police officer isn’t just about making arrests—it’s about making a difference.
"I lost my wallet in the city. Cash, cards, ID. Gone. I was panicking. I cancelled everything. I assumed it was stolen. Three days later, a package arrived at my house. It was a padded envelope. Inside was my wallet. All the cash was there. The cards were there. But there was also a letter. 'Hello. I found your wallet on the subway. I looked at your ID and saw you live 50 miles away. I’m homeless. I don't have a car or money for postage. But I saw a picture of your kids in your wallet. I have kids too that I haven't seen in years. I didn't want you to lose that picture.' The letter continued: 'I panhandled for two days to get the money for this postage. Hope it gets to you safe.' He used his food money to mail my wallet back. I drove to the city to the return address on the envelope. It was a shelter. I found the man. His name was Thomas. I didn't just give him a reward. I helped him get a job at my brother’s warehouse. He’s been working there for a year now. He’s seeing his kids again next month. Honesty is expensive. If you find it in someone who has nothing, you’ve found gold."
~ anonymous
LLMs hallucinate. In many applications, that's not acceptable.
Next Tuesday, we'll look at one practical way to reduce hallucinations: fact-checking LLM outputs against @wikidata.
Wikidata is a large, structured knowledge graph with millions of entities and relationships.
In this workshop, we'll use it as an external source of truth and connect it to an LLM via MCP.
What we'll do in the session:
🔸 Generate answers with an LLM
🔸 Query Wikidata through MCP to retrieve relevant facts
🔸 Combine MCP with an LLM to verify claims
🔸 See how this setup can reduce hallucinations in practice
The workshop is fully hands-on and done in Python.
We'll focus on how the pieces fit together and how you can reuse this approach in your own projects.
If this is something you want to try yourself, sign up here: https://t.co/r4qm5mWHLr
See you next week!
Data Engineering Zoomcamp starts today!
Since we launched the first cohort of the course, thousands of learners have gone through the program, built real projects, and even landed new jobs.
Want to learn more about the course?
Join the launch stream today:
Date: Monday, January 12, 2026
Time: 5:00 PM CET
In the stream, I'll walk you through the course and projects and show you how to get the most out of the program.
Register here: https://t.co/OmlfUHTQ6n