I had to write this in BOLD, I am falling in love with this quote from Charlie Munger.

So, here we are again, another week, another global bingo card July 8–15, 2025:

While President Trump expanded his “Make Tariffs Great Again” tour to pretty much anyone with a functioning economy, Israel continue to prove once more that clinics and aid lines are apparently fair game.

India had its hands full with deadly monsoons and an Air India crash blame game just began with news outlets creating clickbait headlines. Who did not need that controversy right?

Peru discovered a 3,500-year-old city that somehow had better urban planning than half of today’s capitals, and Apple began assembling the iPhone 17 in India, because nothing says global teamwork like breaking your new phone and contributing to foreign GDP in the same moment.

On the sports front, Swiatek demolished her opponent in the Wimbledon finals match so fast that you could’ve missed it while microwaving popcorn. Neeraj Chopra (India) and Arshad Nadeem (Pakistan) are set for another javelin duel, since nothing unites the subcontinent like throwing sharp objects really far.

This week reflected both an “upgrade” in chaos in some regions and the persistent, grim normalcy of conflict elsewhere.

Real Money, Real Investment, No Advice

Currency devaluation against Tariffs?

As a tech professional observing global trade trends, I’ve noticed that while U.S. tariffs grab headlines, countries are quietly responding through currency devaluation — a subtle yet powerful strategy that makes their exports cheaper and more competitive despite added costs. For example, the Indian rupee has slipped from ₹81 to ₹84/USD, softening the impact of any future tariffs. Similarly, a 10% drop in the U.S. dollar against the Euro means European buyers can now afford more U.S. goods — potentially explaining why the U.S. is cautious with counter-tariff retaliation.

While this isn’t without risk (inflation, investor flight), currency adjustments act as economic shock absorbers, rebalancing trade without escalating conflict. Find out why some countries may not be so concerned about tariffs.

The United States tested the first atomic bomb this day in 1945 near Alamogordo, New Mexico, and the following month dropped atomic bombs on Hiroshima and Nagasaki in Japan, hastening the end of World War II.

The 50/50 venture between Stellantis and Guangzhou Auto launched in 2010 in China, has been officially declared bankrupt by a court in Hunan province. After peaking at over 200,000 annual sales in 2017, the venture spiraled into decline: sales fell to 20,000 units by 2021, and successive capital injections totaling ¥4 billion couldn’t save it.

This failure symbolizes the inability of Stellantis, like other Western manufacturers, to adapt to China's electric revolution, led by ultra-competitive local brands.

Powered by a $1.18 billion ETF sugar rush, BTC is now flexing like it never went through a 2022 phase. And just as the U.S. gears up for “Crypto Week” (cue dramatic regulation music 🎬), analysts are whispering the words “market earthquake” louder than a conspiracy podcast host.

🌍 Why It Matters

Bitcoin's current rally is driven by institutional demand, not retail hype, solidifying its role as a mainstream portfolio hedge. As U.S. debt rises, Bitcoin is viewed as a safeguard against inflation, reinforcing its "digital gold" status. Upcoming U.S. crypto legislation could lead to increased capital inflows or volatility.

Japanese researchers have shattered data limits by transmitting 1.02 petabits per second (1,020,000 Gbps) over 1,808 km using a standard‑diameter, 19‑core optical fiber, no infrastructure rewrite required. That’s a mind‑blowing 3.5 million times faster than the US average broadband speed

🌟 Why It Matters?

This breakthrough shows our existing fiber networks, like the cables buried under streets and oceans, can be dramatically upgraded without digging new trenches.

2025 Tech layoff list 22,000 casualties and counting!

Thank you! Thank you Youtube and Meta stop reposting please!

How many terrabytes can be stored in your brain next time you forget where you left your coffee cup, don't worry; you're not running out of space. It's likely your brain just had more important things to remember.

Charlie Munger’s famous advice: “Find a simple idea and take it seriously.” Todd’s simple idea? A quick-service restaurant focused solely on high-quality chicken finger meals. No burgers, no salads, just chicken fingers, done exceptionally well.

To fund his vision, he took on grueling 95-hour weeks as a boilermaker, risked his life working on a commercial fishing boat off the coast of Alaska, and scraped together startup capital from unlikely sources, including his bookie and a colorful character known only as “Wild Bill.”

Todd made nearly every mistake an entrepreneur can make.

Today, Raising Cane’s boasts over 800 locations, employs 50,000 people, and is estimated to be worth $10 billion, with Graves still owning 90% of it. His guiding philosophy?

“Do one thing and do it better than anyone else.”

At Helmholtz Munich, researchers are training massive foundation models on vast and varied biomedical data. One standout project, led by Prof. Julia Schnabel, is building a Cancer Foundation Model that merges pathology images, radiology scans, health records, and clinical text using Vision Transformers and LLMs, helping doctors trace cancer’s origins more accurately than ever before

🌟 Why It Matters

This is a medical revolution: AI enables earlier, more accurate cancer detection, speeds up drug development, and facilitates precision therapies through patient-specific genetic insights.

Gwern proposes a “Day-Dreaming Loop” (DDL): a background process where the model randomly pairs concepts, generates speculative ideas, critiques them, and if promising, stores them, kickstarting a compounding insight cycle. Though resource-intensive and seemingly like wasted computation, he suggests this “waste” might be the essential spark AI needs to make creative leaps.

🌟 Why It Matters

This concept challenges the status quo of AI, where models react to prompts, but never imagine on their own. In short, we may finally give AI the “creative downtime” humans instinctively leverage to think differently.