Kevin Chang

Orale. Music, info, opinion, aloha. RTs not endorsement. Might mean some thing makes me go hmmm. E.D. @kuahawaii

[Cyrus Janssen @thecyrusjanssen]

Absolutely fascinating to see this sports complex in the heart of downtown Guangzhou. Came down here to shoot some hoops with my kids and this complex of 20 basketball courts is completely packed. Foreigners mixed in with local Chinese, enjoying this beautiful game and warm summer nights! Awesome to see this side of China that so many people in the West could never imagine 😃

[Jaron Keawe Sagapolutele @JaronKeawe]

🤫

[Dov Kleiman @NFL_DovKleiman]

𝗧𝗥𝗘𝗡𝗗𝗜𝗡𝗚: 49ers superstar RB Christian McCaffrey posted a behind-the-scenes look at his INSANE offseason workout program.

CMC is one of the best athletes we've ever seen.

Many people don't realize how hard this is.

🤯🤯🤯

[Cal Football @CalFootball]

7️⃣ Golden Bears make the Athlon Sports Preseason All-ACC team

#GoBears

[Crazy Moments @Crazymoments01]

When the family found Grandpa's old flannel jacket in the closet, they weren't sure what to do with it. So they placed it on his favorite chair. What happened next left everyone speechless. Buddy walked over first. Then Max. Neither barked. Neither moved for nearly an hour. They simply sat beside the jacket, quietly breathing in the scent of the man who had loved them every single day. Sometimes memories aren't stored in photographs. Sometimes they're carried in a familiar scent that never really leaves. If you've ever missed someone who changed your life, drop a ❤️ below.

[Dom Lucre | Breaker of Narratives @dom_lucre]

🔥🚨LATEST: Canadian engineer John Tse is going viral after revealing his umbrella that follows him around as if he is in a futuristic movie. Tse created a fully autonomous umbrella that will assist people that need both of their hands while providing cover.

[Royally Sage @sage1411]

My brother posts this every year in the family chat on the 4th. Still hilarious.

[The Figen @TheFigen_]

That feeling when you taste pizza for the very first time.

[格闘技記録係 @kotoba_life26]

こんなのはじめから勝敗分かり切ってるだろ的な感じで、後ろでスマホいじってる白鵬が途中でめっちゃ釘付けになってるのウケるwww この子、体幹強すぎる

[Tansu Yegen @TansuYegen]

Hands in pockets, and they still stand up fast: Kung Fu training is no joke.

[Eric Lécuyer @eric_lecuyer_]

Après deux heures à regarder le lac, j'ai réalisé que c'était la clôture du voisin

[Rumpelstilzken @stay_wokeness]

Geht es euch manchmal auch so wie mir?
Ich sehe hier so viel Dreck.
Deswegen mal etwas Schönes.
#NatureEscape

[China pulse 🇨🇳 @Eng_china5]

From China… shoes that allow a person to walk on water.

[まだ面白い @madaomoshiroi]

全然笑いたくなかったけど、さすがに難しかった...ww

[CFBSelect.com @CfbSelect]

These are the Sleeper CFB Teams to watch this season.

Do any break into the College Football Playoff?

[Millie Marconi @MillieMarconnni]

A guy who was the number one ranked machine learning competitor on Earth, twice, looked at how universities teach AI and decided they had the entire thing backwards.

So he built a free course that has turned more people into working AI practitioners than most graduate programs.

Jeremy Howard was the guy who made the course and it is called Practical Deep Learning for Coders.

Here is the argument that drives the whole thing.

Universities teach AI top-down. First you sit through linear algebra. Then calculus. Then probability. Then, maybe, a year later, you are finally allowed to touch a model. Howard watched this approach destroy motivated people. Most never made it to the part where it gets interesting. The math wall killed them first.

He thinks that is exactly wrong. His view is that you do not teach someone baseball by drilling the physics of a curveball for a year before letting them hold a bat. You let them play, then explain the physics once they care.

So his course inverts it. In the very first lesson, before any heavy theory, you train a working image classifier that actually runs. You build something real on day one. The theory comes later, pulled in piece by piece, exactly when you finally need it to go deeper.

Harvard Business Review said fast AI can take motivated students all the way to building industrial-grade AI systems.

The whole course is free. No paywall, no signup tricks.

It assumes you can code a little and remember some high school math. That's the bar.

The people who actually break into AI almost never start with the equations.

https://t.co/ea9S8yk1Cl

[Cal Football @CalFootball]

A look behind the scenes 🐻🎬🎥

#GoBears

[Out of Context Human Race @NoContextHumans]

Mike Tyson at 20 years old was terrifying😳

[Louis Gleeson @aigleeson]

MIT'S PROBLEM-SOLVING TEXTBOOK IS FREE, AND IT BEATS EVERY PRODUCTIVITY COURSE EVER SOLD

A physicist named Sanjoy Mahajan spent 15 years teaching MIT, Cambridge, and Olin students one thing: how to crack hard problems without drowning in them.

The book is called "The Art of Insight in Science and Engineering," and MIT gives it away for free.

Here are the 9 thinking tools the book actually teaches:

1. Divide and conquer

Never attack a giant problem head-on. Split it into pieces small enough to estimate, solve each, and recombine. Most people freeze at the size of a problem. Mahajan teaches you to make it smaller until it stops being scary.

2. Dimensional analysis

Before you calculate anything, check what units the answer has to be in. The units alone often hand you the shape of the answer and catch errors instantly. The fastest sanity check in existence, and almost nobody uses it.

3. Reasoning by extreme cases

Push the problem to its limits. What happens if the number goes to zero? To infinity? The extremes are easy to picture, and they pin down the behavior in the messy middle. A way to feel out an answer before you can prove it.

4. Lumping

Replace a complicated curve or messy shape with a single rough block that captures the gist. You lose a little accuracy and gain enormous clarity. The skill of throwing away the right detail at the right moment.

5. Probabilistic reasoning

When you can't know something exactly, estimate it with odds instead of pretending you need certainty. Most real decisions live here, in the space between "I know" and "I have no idea."

6. Easy cases

Before solving the hard version, solve the easy version first and let it guide you. If your method can't handle the simple case, it was never going to handle the hard one.

7. Analogy

Map an unfamiliar problem onto one you already understand. The structure carries over even when the surface looks completely different. Mahajan treats analogy as a precision instrument, not a vague hunch.

8. Spring models and proportional reasoning

Instead of memorizing formulas, reason about how one thing scales when another changes. Double this, what happens to that. Understanding relationships beats memorizing equations every time.

9. Discarding information on purpose

The deepest move in the book. Mahajan splits all simplification into two kinds: organizing complexity, and deliberately throwing some away. Knowing exactly what you can afford to lose is the whole art.

Where to get it free.

The full book is on MIT OpenCourseWare as course RES.6-011, released under a Creative Commons license. The complete online textbook, every chapter, every problem. No signup, no payment, no catch. His earlier book, "Street-Fighting Mathematics," is free on OCW too.

https://t.co/MIdELPoUtj

The self-help industry sells you systems for managing your tasks. This MIT physicist gives you a system for managing reality. One of them is free, and it's the better one.

[Leah Rain ✝️🇺🇸🎸🏝️ @LeahRain77]

An 18 day old baby rescued from the earthquake rubble in Venezuela is handed back to the Father. Notice the joy and love on everyone’s face especially the Father… can you imagine how he feels right now?