R ! 🐶

self claim procastinated game dev-wannabe
| RPG indie are my favorite!! ^w^

[Contena🫥ゲーム制作中 @Contena_games]

キャラ・ストーリー重視の可愛いターン制RPGが欲しくて自分で作ってます。基本コメディ🙂
・パッシブ装備やスキル強化ができる
・乙女要素や百合要素が0.1mlほどある
・立ち絵やスチルがたくさんある
・年の差好きに特に優しい（ここ大事）
#スーパーゲ制デー

[R ! 🐶 @reannesaurus]

Right... Should've just make a game about me. A mental disability genre..

[おぶちラボ🎮『LIGHTFALL ECHOES』ソロ開発中 @obuchilab]

スーパーゲ制デー！

『ライトフォール・エコーズ』を制作中

最近はもっぱらシステム面の構築を急いでいます

ワールドマップで見れる地図、ダンジョンで見れる地図、武器強化システム、ジオマンサー固有のバトルギミック、他

引続き完成に向けて頑張ります

#SuperDevDay #ScreenshotSaturday

[YO FUJII @onsen023]

趣味で作ったスクリプトよりこっち見てほしい、ゲーム作ってます、今ステージ１相当まで出来てたんですが、別のアプローチを模索するために仕様変更した別バージョンも作ってみています、両方作ったうえで楽しいほうを作り切る予定です～

[Karbonic @Karbonicc]

Actual Burning of Alexandria moment.
This will also lead to thousands of plugins and scripts being permanently lost.
This will directly lead to RPG Maker games becoming worse and less interesting, and the software harder to use and less feature-rich.

[André Cardoso @andre_mc]

how to improve your game feel!!

#gamedev

[AYANE @aazerothh]

She’s casting spell and saying:

I CAN DO THIS.
I’LL MAKE YOU PROUD.

IM GONNA CRY. DON’T DO THIS TO ME.

[helia @cIoudgf]

zack & aerith’s matching prayer poses oh i feel so ill

[JB✏️ @breikka]

The menu portraits in FF7 Revelation are referencing their OG portraits. Super cool!!! #FF7R

[FINAL FANTASY VII @finalfantasyvii]

So... how are we all feeling right now?

[nube☁️ • 👧🍵⏳🪶 @rdvelveties]

being an adult is looking at your 35 installed games on your desktop and deciding you're too tired for anything other than a youtube video

[Kraken Combo @KrakenCombo]

I LOVE SHADERS RAAAAAHHH!!!!!
#gamedev #screenshotsaturday #indiedev

[abel @jmrq6yey]

Released today!

[drowning in a sea of blue] is a short game made in RPG Maker VX Ace. In a world on the verge of being discarded, play as the [MAIN CHARACTER] and attempt to convince your creator to rewrite your story.

Play it here: https://t.co/LF3nWYuDdg

#rpgmaker #indiegame

[R ! 🐶 @reannesaurus]

Me oneday :^

[Kris Antoni - Toge Productions @kerissakti]

Koshi Nakanishi-san, Director of Resident Evil Village & Resident Evil Requiem, visited our booth at BitSummit and tried Whisper Mountain Outbreak!

[Big Brain AI @realBigBrainAI]

Alexandr Wang, founder of Scale AI, on why the most overlooked layer of AI became its biggest competitive advantage:

Wang left MIT in 2016 to start Scale AI, becoming the world's youngest self-made billionaire by betting on AI's unglamorous infrastructure layer while others chased flashier opportunities.

His framework for understanding AI is simple.

There are three major components:

"You have compute, which folks like Nvidia work on. You have algorithms which folks like OpenAI or Google or Anthropic build. And then you have data."

Compute had Nvidia. Algorithms had the major labs. Data had no one.

That's exactly where Wang and his team made their bet:

"We recognized early on that data was going to be a limiter. And there was nobody really working on it."

What looked like a gap in the market turned out to be the foundation of it.

Years later, Wang says every serious player in AI has arrived at the same conclusion:

"Fast forward today, everybody I talked to recognizes that data is gold. Whether it's our customers, the major labs like the OpenAIs or the Metas of the world, or large enterprises like Morgan Stanley or Mastercard, or our partnership between Cisco and Scale."

@alexandr_wang continues:

"Data is going to be what will differentiate and power the next generation of powerful AI capabilities."

[Yasir Ai @AiwithYasir]

An MIT professor taught the same math course for 62 years, and the day he retired, students from every country on earth showed up online to watch him give his final lecture.

I opened the playlist at 2am and ended up watching three of them back to back.

His name is Gilbert Strang. The course is MIT 18.06 Linear Algebra.

Every machine learning engineer, every data scientist, every quant, every self-taught programmer who actually understands how AI works learned the math from this one man. Most of them never set foot on MIT's campus. They just opened a free playlist on YouTube and let him teach.

Here's the story almost nobody tells you.

Strang joined the MIT math faculty in 1962. He retired in 2023. That is 61 years of standing at the same chalkboard teaching the same subject to 18-year-olds.

The interesting part is what he did when MIT launched OpenCourseWare in 2002. Most professors were skeptical. They worried that putting their lectures online would make their classrooms irrelevant. Strang did not hesitate. He said his life's mission was to open mathematics to students everywhere. He filmed every lecture and gave it away.

The decision quietly changed how the world learns math.

For decades linear algebra was taught the wrong way. Professors started with abstract vector spaces and proofs about field axioms. Students drowned in the abstraction. Most never recovered. They walked out believing they were bad at math when they had simply been taught in an order that nobody's brain is built to absorb.

Strang inverted the entire curriculum.

He started with matrix multiplication. Something you can write down on paper. Something you can compute by hand. Something you can see. Then he showed his students that everything else in linear algebra eigenvectors, singular value decomposition, orthogonality, the four fundamental subspaces was just a different lens for understanding what the matrix was actually doing under the hood.

His rule was strict. If a student could not explain a concept using a concrete 3 by 3 example, that student did not actually understand the concept yet. The abstraction was supposed to come last, not first. The intuition was the foundation. The proofs were just confirmation that the intuition was correct.

The second thing Strang changed was the classroom itself. He said please and thank you to his students. Every single lecture. He paused mid-derivation to ask "am I OK?" to check if anyone was lost. He never used the word "obviously" or "trivially" because he knew exactly what those words do to a student who is one step behind. He treated 19-year-olds learning math for the first time the way he treated his own colleagues. With patience. With respect. With the assumption that they belonged in the room.

For 62 years.

The result is something that has never happened in the history of education. A single math professor became the default teacher of his subject for the entire planet.

Universities in India, China, Brazil, Nigeria, every country with a computer science department, started telling their own students to just watch Strang's lectures. The University of Illinois revised its linear algebra course to do almost no in-person lecturing. The reason was honest. The professor said they could not compete with the videos.

His final lecture was in May 2023.

The auditorium was packed with students who had never met him before. He walked to the chalkboard, taught for an hour, and at the end the entire room stood and applauded. He looked confused for a moment, like he genuinely did not understand why they were cheering. Then he smiled and waved them off and walked out.

His written comment under the YouTube video of that final lecture was four sentences long. He said teaching had been a wonderful life. He said he was grateful to everyone who saw the importance of linear algebra. He said the movement of teaching it well would continue because it was right.

That was it. No book promotion. No farewell speech. No legacy management.

The man whose teaching is the foundation of modern AI just thanked the audience and went home.

20 million views. Zero ego. The entire engine of the AI revolution sits on top of math that millions of people learned for free from one quiet professor in Cambridge.

The course is still on MIT OpenCourseWare. Every lecture, every problem set, every exam, every solution. Free.

The most important math course of the 21st century is sitting one click away from you. Most people will never open it.

[SQUIFF @salty_squiffer]

DELTARUNE Chapter 5