You can now watch any AI paper instead of reading it
There's a new site called arXivisual that turns ANY arXiv paper into a fully animated breakdown for free.
Just add "isual" to the link
https://t.co/bvbIm7Udb0 becomes https://t.co/2IodFGq9UW
Paste it and an agent pipeline breaks the paper into sections, finds the concepts worth animating, writes Manim code for each one, and narrates it with voice
You scroll, the narration plays, and each animation sits right next to the paragraph it explains
Tried it on the original Transformers paper. Attention finally made sense to me in a way 10 blog posts never did, and it's open source. Four college kids built it at a hackathon
Here's what I'd do if I were you:
1. Pick the one paper you've been avoiding
2. Change the link and paste it in
3. Scroll through it on your phone with headphones in
4. Ask your AI to explain the one section you still don't get
You'll learn more in 20 minutes than a whole weekend of pretending to read PDFs
This is how you read research in 2026
Stop reading attention is all you need.
Transformers (LLMs) clearly explained with visuals:
- Real GPT-2 visualizer
- tokens to embeddings
- 12 attention heads (Q, K, V, scale, mask, softmax)
- multi-head Q/K/V
- residual + MLP
- next-token probabilities
That’s the difference between reading about transformers and seeing one think.
- https://t.co/zBmxt1HW1f
The wait is over! Meet Arduino VENTUNO Q, where AI takes action.
💬 Run local LLMs like Qwen 3, Gemma 4, and Qwen 3 VLM directly on the board
🧠 NPU + CPU + GPU +MCU: @Qualcomm Dragonwing IQ-8275 with up to 40 dense TOPS of AI performance and STM32H5 microcontroller for real-time control
🗄️ 16 GB RAM + 64 GB eMMC + expandable storage
🪁 Linux-powered, pre-loaded with Ubuntu OS + Zephyr RTOS
🛠️ Build AI faster using Arduino App Lab, @huggingface, @EdgeImpulse, and Qualcomm AI Hub
💨 Move seamlessly from prototype to production through Works with Arduino Certification Program
The first batch won’t last. Pre-order your VENTUNO Q with a free power supply and USB-C cable included! Get ready to enter a new era of Physical AI: https://t.co/YpDhKRuX6y
I'm a self-taught roboticist and in the past 10 years, I've worked on lunar rovers @Venturi, quadruped, bipedal robots and more
Now, Ive founded @coprod_Inc to solve one of robotics' hardest challenge: integration. If you're passionate about robotics or wanna talk about tech hmu
Onlar - "Yolda Kalmışlara Yardım ederler. "Bakara / 177
Onlar - "İnsanların Kusurlarını Affederler. " Ali Imran / 134
Onlar - " Yalnızca Allah'a Dayanıp Güvenirler. "Mücadele / 10
Onlar - " Yeryüzünde Alçak Gönüllü Olarak Yürürler. "Furkan / 63
Onlar - " Yoksulluk Yüzünden Evlatlarını Öldürmezler. "En'am / 151
Onlar - "Hakk'ı Bile Bile Gizlemezler." Bakara / 42
Onlar "İnananlara ' Sen Mü'min Değilsin "Demezler." Nisa / 94
Onlar "Namuslarını (Irzlarını ) Korurlar. "Mü'minun / 5
Onlar - "Anne Ve Babalarına Öf Bile Demezler. "İsra / 23
Onlar - "Kötü Zandan Ve Gıybetten Kaçınırlar. "Hucurat / 12
Onlar - "Ahidlerine (Sözlerine) Sadıktırlar. "Mü'minun / 8
Onlar "Zekatlarını Hakkıyla Verirler. " Bakara / 177
Onlar "Mü'minlere Karşı Alçak Gönüllüdürler. " Maide/54
Onlar - "Darlıkta Ve Bollukta Da Infak Ederler. "Ali Imran / 134
Onlar" Gerçekten Felaha Kavuşanlardır. " Mu'minun / 1
Onlar - " Allah'ın Ayetlerini Az Bir Menfaatle Değiştirmezler " " Ali İmran / 199
Onlar - " Rasullerden Hiç Birini Birinden Ayırt Etmezler." Bakara / 136
Onlar - "Allah'ın Adı Anıldığı Zaman Kalpleri Ürperir . " Enfal / 2
Onlar - " Allah'a Asla Şirk Koşmazlar. "Furkan / 68
Onlar" (Her Türlü ) Zinaya Asla Yaklaşmazlar. "Furkan / 68
Onlar - "Namazlarını Huşu İçinde Ve Dosdoğru Kılarlar. " Mü'minun / 2
Onlar "Boş Şeylerden Tümüyle Yüz Çevirirler. " Mü'minun / 3
Onlar" Mallarıyla Ve Canlarıyla Cihad Ederler. "Tevbe / 20
Onlar" Cahillerle Asla Tartışmazlar." Furkan / 63
Onlar - "Kınayıcının Kinamasından Hiç Bir Zaman Korkmazlar." Maide / 54
Onlar - "Emanetlerine İhanet Etmezler. "Mu'minun / 8
Onlar - "Söz Verdiklerinde Sözünde Dururlar." Bakara / 177
Fall in love with some activity, and do it! Nobody ever figures out what life is all about, and it doesn't matter. Explore the world. Nearly everything is really interesting if you go into it deeply enough. Work as hard and as much as you want to on the things you like to do the best. Don't think about what you want to be, but what you want to do. Keep up some kind of a minimum with other things so that society doesn't stop you from doing anything at all.
-- R. Feynman
Proud to say that Devin has cracked three more unsolved problems today
1) REFUTED: Graffiti Conjecture 154 (open for ~40 years)
2) PROVED: Graffiti Conjectures 39 & 40 (~40 years)
3) REFUTED: Brandt's Regular Supergraph Problem from West's open problems list (~20 years)
My methodology is explained below, but basically I showed Devin the original tweet and told it to find similar problems and crack them.
The flood gates are open.
57 years ago today, humans first landed on the Moon. The source code that helped get them there? It’s on GitHub.
Margaret Hamilton led the MIT team responsible for Apollo’s onboard flight software. The Apollo Guidance Computer software eventually grew to about 145,000 lines of code. 👀
Explore the original Apollo 11 guidance software for the Command and Lunar Modules. 🌕
https://t.co/x1lDIB4vjX
Image credit: Draper Laboratory; restoration by Adam Cuerden, via Wikimedia Commons.
A French engineer who lives quietly in Paris has spent 30 years writing software that the entire internet now runs on without knowing his name.
He wrote the code that streams every YouTube video, every Netflix show, every TikTok clip. He wrote the code that runs the virtual servers underneath AWS, Google Cloud, and Microsoft Azure. He calculated more digits of pi than anyone in history. He has no Twitter. He has no marketing. He just keeps shipping.
His name is Fabrice Bellard.
Here is the story, because almost nobody outside the systems programming world knows what one man has built.
Fabrice was born in 1972 in Grenoble, France. He studied at École Polytechnique, the top French engineering school. He never went to Silicon Valley. He never built a startup empire. He just wrote code.
In 2000 he started a project called FFmpeg, an open-source multimedia framework for encoding, decoding, and streaming video. He was 28. The project did one thing nobody else had done well. It handled every video and audio format that existed, in one library, on every operating system. He led it himself for years.
Today FFmpeg is the invisible engine of the internet. YouTube uses it. Netflix uses it. VLC uses it. Chrome and Firefox use parts of it. Every Android phone, every iPhone, every smart TV, every video editing tool you have ever touched runs FFmpeg somewhere underneath. If you have watched a video on a screen in the last 20 years, Fabrice's code processed it.
He was not done.
In 2003 he started QEMU, a machine emulator and virtualizer. He wrote it solo until version 0.7.1 in 2005. QEMU lets you run any operating system on any other operating system. It became the foundation of modern virtualization. KVM, the Linux kernel hypervisor, runs on top of QEMU. Every major cloud provider, AWS, Google Cloud, Microsoft Azure, IBM Cloud, runs virtual machines on infrastructure built around it. The Quick Emulator is the most cited piece of cloud infrastructure code on Earth.
He kept going.
In 2001 he won the International Obfuscated C Code Contest with a small C compiler that grew into TCC, the Tiny C Compiler. TCC can compile and boot a Linux kernel from source in under 15 seconds. In 2004 he calculated the most digits of pi ever computed at the time, using a personal desktop computer and an algorithm he derived himself called Bellard's formula. In 2011 he wrote a complete PC emulator in pure JavaScript that runs Linux in your browser, a project called JSLinux that engineers still cannot believe is real.
In 2019 he released QuickJS, a small but complete JavaScript engine that fits where V8 cannot. In 2021 he released NNCP, a neural network based lossless data compressor that immediately took the lead on the Large Text Compression Benchmark.
Then he turned his attention to large language models. He built TextSynth Server, a web server with a REST API for running LLMs locally. He released ts_zip and ts_sms, compression utilities that use language models to compress text and short messages at ratios traditional algorithms cannot reach. He released TSAC, a very low bitrate audio compression system. In December 2025 he released Micro QuickJS, a new JavaScript engine for microcontrollers, separate from QuickJS, designed for environments with almost no memory.
Fabrice co-founded a telecom company called Amarisoft in 2012, where he serves as CTO. Amarisoft builds 4G and 5G base station software used by carriers and labs around the world. He has been running it for over a decade while continuing to ship personal projects from his own home page at bellard dot org
He has no Twitter. He has no Instagram. He gives almost no interviews. His personal website is a flat list of projects with no styling, no fonts, no marketing copy. Just titles and links.
A quiet French engineer who never moved to Silicon Valley wrote the code that quietly runs the internet.
He is still shipping.