iiinova — where your digital self keeps evolving

Reposted by Dragan Djuric

Randall Munroe @xkcd.com · 15/04/2026

Countdown Standard xkcd.com/3232/

Comic. One... two... THREE! [text in red] X Deprecated [line break] One... two... three... GO! [text in red] Deprecated [red curly bracket around top two lines] Too easy to mix up [line break] Three... two... one... GO! [text in green] [check mark] ISO Standard [caption] If I were in charge of ISO, the first thing I’d do would be to standardize the way people count out loud before doing something in sync.

Dragan Djuric @draganrocks.bsky.social · 09/12/2025

Can we now load and run the inference on the real deal models, such as the open LLMs from the Hugging Face, for example? Let's see with Gemma 3! dragan.rocks/articles/25/... #Clojure #AI #LLMs

dragan.rocks

Gemma 3 AI model in Clojure

Can we now load and run the inference on the real deal models, such as the open LLMs from the Hugging Face, for example? Let's see with Gemma 3!

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Dragan Djuric @draganrocks.bsky.social · 26/10/2025

Clojure Runs ONNX AI Models Now - Join the AI fun! dragan.rocks/articles/25/... Join the AI fun directly from Clojure. Although (sadly) Clojure has not find its way in the big guns AI arena, Clojure is a very capable technology for integrating stuff into real-world applications!

dragan.rocks

Clojure Runs ONNX AI Models Now - Join the AI fun!

Join the AI fun directly from Clojure. Although (sadly) Clojure has not find its way in the big guns AI arena, Clojure is a very capable technology for integ...

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Dragan Djuric @draganrocks.bsky.social · 09/09/2025

Clojure Tensor and Deep Learning library Deep Diamond now works on Apple M CPU. Check out the fresh #Apple Silicon support in 0.36.1! Please RT this message so Clojurists actually hear about it :) #Clojure #AI #Pytorch github.com/uncomplicate/deep-diamond

github.com

GitHub - uncomplicate/deep-diamond: A fast Clojure Tensor & Deep Learning library

A fast Clojure Tensor & Deep Learning library. Contribute to uncomplicate/deep-diamond development by creating an account on GitHub.

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Dragan Djuric @draganrocks.bsky.social · 01/07/2025

Clojure fast matrix library Neanderthal has just been updated with native Apple silicon engine Please check the new release 0.54.0 in Clojars. #Java #AI #Clojure #CUDA #Apple neanderthal.uncomplicate.org

neanderthal.uncomplicate.org

Neanderthal - Fast Native Matrix and Linear Algebra in Clojure

Clojure Fast Matrix Library - GPU and native CPU

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Dragan Djuric @draganrocks.bsky.social · 11/06/2025

Fast matrices and number crunching now available on Apple Silicon #MacOS. Check out the newest snapshots of Neanderthal in the Clojars! Add 0.54.0-SNAPSHOT to your project.clj and you're ready to go! github.com/uncomplicate... #Clojure #NumPy #CUDA

github.com

GitHub - uncomplicate/neanderthal: Fast Clojure Matrix Library

Fast Clojure Matrix Library. Contribute to uncomplicate/neanderthal development by creating an account on GitHub.

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Dragan Djuric @draganrocks.bsky.social · 17/05/2025

So, we created SQL so "analysts" can query the DB and get rid of programmers. They delegated this to programmers anyways. Now, they created AI that writes SQL, that queries the DB for "analysts". Guess who's going to be stuck writing shitty AI prompts. news.ycombinator.com/item?id=4400...

rb.gy

Getting AI to write good SQL | Hacker News

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Reposted by Dragan Djuric

Luke VanderHart @vanderhart.net · 30/04/2025

Damn, this is the clearest evidence yet of my “AI powered Dunning-Kruger” hypothesis: that AI proponents are only bullish about AI for work they don’t actually know or understand.

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Reposted by Dragan Djuric

Luke VanderHart @vanderhart.net · 24/12/2024

We need to put the punk back in cyber.

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Dragan Djuric @draganrocks.bsky.social · 16/05/2025

Apple M CPU Accelerate backend implemented for #Clojure Neanderthal! Now you have 3 superfast native CPU and 2 GPU choices when crunching numbers on the JVM! Still available as snapshots on github.com/uncomplicate/neanderthal (waiting for upstream releases). Thank you clojuriststogether.org

github.com

GitHub - uncomplicate/neanderthal: Fast Clojure Matrix Library

Fast Clojure Matrix Library. Contribute to uncomplicate/neanderthal development by creating an account on GitHub.

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Dragan Djuric @draganrocks.bsky.social · 14/05/2025

I love physical books too! I can't provide those for my books due to logistical issues, but I don't have anything against you printing the PDF (no drm) and binding in a hardcover binding (if such shops are available in your area).

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Dragan Djuric @draganrocks.bsky.social · 12/05/2025

They've helped hundreds of devs actually get backprop, eigenvalues, gradient descent, and more — without needing a PhD or pretending math is magic. A few chapters are even free at aiprobook.com if you want to explore. Lots of content is available as blog articles.

aiprobook.com

Interactive Programming for Artificial Intelligence Book Series: Deep Learning for Programmers, Linear Algebra for Programmers, and more

A book series on Programming, CUDA, GPU, Clojure, Deep Learning, Machine Learning, Java, Intel, Nvidia, AMD, CPU, High Performance Computing, Linear Algebra, OpenCL

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Dragan Djuric @draganrocks.bsky.social · 12/05/2025

That feedback led me to create two books: 📘 Deep Learning for Programmers 📗 Linear Algebra for Programmers They’re built entirely from the intuition that if you can code, you can understand math. Code-first, jargon-free, honest.

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Dragan Djuric @draganrocks.bsky.social · 12/05/2025

One day, a blog post of mine made the front page of Hacker News. It didn't break my server, but it was read by many people. That gave me a signal: there's a hunger out there for programmers who want hands-on, code-first explanations of “scary” math concepts.

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Dragan Djuric @draganrocks.bsky.social · 12/05/2025

10y ago, many programmers were frustrated trying to understand how Deep Learning worked under the hood. Every resource was either: Way too theoretical Or shallow “framework tutorials” I started writing blog posts at dragan.rocks just to explain things to my past self.

dragan.rocks

Articles

Dragan Djuric's Clojure Blog, Artificial Intelligence, Deep Learning, Bayesian Data Analysis, CUDA, GPU, OpenCL, Functional Programming, Probabilistic Programming, Data Science.

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Dragan Djuric @draganrocks.bsky.social · 12/05/2025

I've spent many years building HPC and ML libraries, and writing 2 books that teach Linear Algebra and Deep Learning to actual programmers (not math PhDs). Here's how I went from writing my first blog post to building a following, front-paging Hacker News, and useful books.🧵👇

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Dragan Djuric @draganrocks.bsky.social · 11/05/2025

Thank you! I really don't know, as I don't get any contact details from Patreon. I am surprised that they close accounts for such reasons. The only thing that I can suggest is to try with a more traditional email, such as gmail...

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Dragan Djuric @draganrocks.bsky.social · 10/05/2025

The best programmers aren’t good because they know more. They’re good because they ask: “What’s really going on here?”

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Dragan Djuric @draganrocks.bsky.social · 10/05/2025

Programmers treat linear algebra like magic. But it's not magic. It's code. It's vectors. It's yours to master. Linear Algebra for Programmers shows you how—with zero fluff. If you write code, you need this book. 👉 aiprobook.com/numerical-li... #DevLife #MachineLearning #AI #Coding

aiprobook.com

Numerical Linear Algebra for Programmers

Numerical Linear Algebra for Programmers: An Interactive Tutorial with GPU, CUDA, OpenCL, MKL, Java, and Clojure basically… * a book for programmers * interactive & dynamic * direct link from theory t...

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Dragan Djuric @draganrocks.bsky.social · 10/05/2025

🚀 If you're a programmer struggling with math, Linear Algebra for Programmers by Dragan Djuric is the book you didn’t know you needed. 🔢 No fluff. Just the math that powers ML, graphics, and more—explained in code. 📘 Get smarter where it counts: aiprobook.com/numerical-li... #AI

aiprobook.com

Numerical Linear Algebra for Programmers

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Dragan Djuric @draganrocks.bsky.social · 27/04/2025

A lot of code that makes PyTorch useful might already be in the Deep Diamond. No need to create a PyTorch port, just the integration of the most useful stuff from libtorch into Clojure.

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Dragan Djuric @draganrocks.bsky.social · 27/04/2025

That's all right. I might do the PyTorch part, and other people will do some other pieces.

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Dragan Djuric @draganrocks.bsky.social · 26/04/2025

Nothing stops us from doing the same deep integration to onnx, of course. Or any other runner. But, as I understand, the selling pitch for onnx is portability, not performance. Why I would go with PyTorch is that most models are developed on PyTorch anyway, so there's less friction there...

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Dragan Djuric @draganrocks.bsky.social · 26/04/2025

This would be orthogonal, for production use of the models. You could collaborate with Python colleagues in whatever way you can collaborate now. The point is that when there is a model (public or private) that you want to build your application on, you can run it from the JVM, without Python.

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Dragan Djuric @draganrocks.bsky.social · 26/04/2025

I am not sure what exactly you consider the PyTorch ecosystems, but my vision is, first, to be able to load and run popular PyTorch models (saved models, not python code to produce these models) by the PyTorch engine, without conversion, from Clojure/Deep Diamond in-process.

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Dragan Djuric @draganrocks.bsky.social · 26/04/2025

For now I'm still just thinking about it, not actually looking into that. First I need to see how many people would be engaged, and whether it's a good use of my (not limitless) resources ;)

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Dragan Djuric @draganrocks.bsky.social · 26/04/2025

I'm thinking of creating a #Clojure integration to #PyTorch (C++. without the Python part). I guess, if you can't beat them, join them... How many Clojurians are interested in that? Would it be something you use passionately (at least for running existing model in-process)?

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Dragan Djuric @draganrocks.bsky.social · 14/04/2025

BTW Accelerate itself doesn't support GPU. For the GPU support, I'll have do do it using Metal.

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Dragan Djuric @draganrocks.bsky.social · 14/04/2025

GPU acceleration under MacOS is not yet available, but I plan to do it this summer!

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Dragan Djuric @draganrocks.bsky.social · 04/04/2025

Not only that #Clojure have been supporting high performance computing on Apple M CPU since Neanderthal 0.53.0, but the even more optimized operations through Apple Accelerate is coming soon! Check it out now at github.com/uncomplicate/neanderthal #MachineLearning #Python #NVIDIA #Swift

github.com

GitHub - uncomplicate/neanderthal: Fast Clojure Matrix Library

Fast Clojure Matrix Library. Contribute to uncomplicate/neanderthal development by creating an account on GitHub.

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Dragan Djuric @draganrocks.bsky.social · 24/03/2025

#Clojure had GPU programming at full speed before it was cool. Check out ClojureCUDA! clojurecuda.uncomplicate.org And, not only that, but BOOKS that teach the stuff! Check them out at aiprobook.com and help me fund my open-source work! #NVIDIA #ArtificialInteligence

clojurecuda.uncomplicate.org

ClojureCUDA - a Clojure library for parallel computations on the GPU with CUDA.

Clojure library for GPU computing with CUDA

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Reposted by Dragan Djuric

Bozhidar Batsov (a.k.a. Bug) @batsov.net · 18/03/2025

It was nice to see in this Reddit thread www.reddit.com/r/emacs/comm... many people saying that #Emacs has amazing support for #Clojure because of CIDER and friends. Seems we did something right!

reddit.com

which language is one for which emacs is godly at?

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Reposted by Dragan Djuric

Alan Baxter @alanbaxter.bsky.social · 19/03/2025

Help the authors you love: - Buy their books - Review their books - Order their books at your local library -Attack people on public transport with a copy of their book so the cover gets featured on the news - Follow their social media - Share their posts

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Dragan Djuric @draganrocks.bsky.social · 10/03/2025

If you have a good free software project related to #Clojure apply for Clojurists Together funding! www.clojuriststogether.org/news/call-fo...

clojuriststogether.org

Call for Proposals. Feb. 2025 Member Survey

We are awarding up to $33K for Q2 2025 Projects

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Reposted by Dragan Djuric

Dragan Djuric @draganrocks.bsky.social · 27/02/2025

Try the latest Neanderthal 0.53.0: high performance linear algebra in #Clojure is now available on you Mac with Apple M processor. neanderthal.uncomplicate.org #Java #AI #Apple #Python

neanderthal.uncomplicate.org

Neanderthal - Fast Native Matrix and Linear Algebra in Clojure

Clojure Fast Matrix Library - GPU and native CPU

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Dragan Djuric @draganrocks.bsky.social · 27/02/2025

Try the latest Neanderthal 0.53.0: high performance linear algebra in #Clojure is now available on you Mac with Apple M processor. neanderthal.uncomplicate.org #Java #AI #Apple #Python

neanderthal.uncomplicate.org

Neanderthal - Fast Native Matrix and Linear Algebra in Clojure

Clojure Fast Matrix Library - GPU and native CPU

094

Dragan Djuric @draganrocks.bsky.social · 24/02/2025

AI programming foundations, in a tutorial: -explains every bit with executable code -interactive; immediately see the result of every line of code in the interactive REPL -runs on GPU, and runs on CPU -full performance, not just a toy -very little code aiprobook.com

aiprobook.com

Interactive Programming for Artificial Intelligence Book Series: Deep Learning for Programmers, Linear Algebra for Programmers, and more

A book series on Programming, CUDA, GPU, Clojure, Deep Learning, Machine Learning, Java, Intel, Nvidia, AMD, CPU, High Performance Computing, Linear Algebra, OpenCL

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Dragan Djuric @draganrocks.bsky.social · 29/01/2025

Deep Learning for Programmers 2.0 (book). From zero. CUDA, GPU. CPU too. Best of all - #Clojure. Interactive: see the effect of every line of code! (hype: 0.0). Learn by building it yourself. aiprobook.com/deep-learnin... #Java #CUDA #Python #AI

aiprobook.com

Deep Learning for Programmers

Deep Learning for Programmers: An Interactive Tutorial with CUDA, OpenCL, DNNL, Java, and Clojure. basically… * the only DL book for programmers * interactive & dynamic * step-by-step implementation *...

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