Check out some of our learnings and how workflows progressed when it comes to computer vision in the wild! Podcast with @Trust_in_soda

Introducing Zod 4.1 and its flagship feature: CODECS z.codec() is a new API for defining *bi-directional transformations* in Zod

for tabular data transformation, the future is already here, just use #SQL

My talk titled "Your GPU is a JavaScript Runtime*" just landed on YouTube! 👨‍💻 I answer WHY and HOW we compile JS/TS to WGSL, how it improves interop for the whole ecosystem, and the added dimension of customizability it unlocks for WebGPU libraries Video below ⬇️

Just merged our first SQL query using #ApacheDataFusion at work! 🎉 Integrating it was a fantastic experience, It will soon be part of the core of #Materia. Wrote about why DataFusion is a game-changer for #Rustlang #database systems:

I talked with @schickling last week about his new project @livestoredev. We went deep on syncing engines, event sourcing, and the entire local-first landscape. LiveStore is now open source, after 4 years of development! It's a very inspirational story. https://t.co/sQW7lcRrsr

Introducing full Model-Context-Protocol (MCP) client and server support in the v1.1 release of @spice_ai Open Source! 🎉 MCP immediately enables LLM connectivity to and from 1000s of tools and services.

We are hosting a @ApacheDataFusio event in Chicago Wednesday December 18. Link here

If you’re curious about how SlateDB works, this is a great starting point.👇

The @ApacheDataFusio meetup in Belgrade was packed tonight. Great speakers from @synnadahq @EDBPostgres @InfluxDB @TarantoolDB .

A Kafka in the cloud doing 30MB/s costs more than $110,000 a year. A $1,000 laptop can do 10x that. Where did we go wrong? 👇 The Cloud. Namely - its absurd networking charges 👎 Let’s break it down simply: • AWS charges you $0.01/GB for data crossing AZs (but in the same

New blog post on DataFusion 40.0.0 and progress over the past six months is live. https://t.co/wKeEUcRdhJ A little part of me is happy to see my name mentioned in the post. I'm thankful for the recognition and eager to make many more valuable and impactful contributions.

#DjangoCon US 2024's talk and tutorials have been announced! 📣 https://t.co/Lo7Ph3DXWx Thank you to everyone who submitted a talk or tutorial proposal. We greatly appreciate the time and effort you spent putting them together. ❤️ We hope to see you all in Durham, NC! 🐂

🚀 Excited to introduce KorniaRust, a game-changer in image processing for the Rust community! 📸✨ Kornia Rust is a robust library tailored for high-performance operations on images. Leveraging the power and safety of Rust, it provides an API for image manipulations and DL.

It's finally time for a "decrusting tokio" stream! We'll talk about blocking, cancellation, spawning, mechanisms for synchronization, and some relevant under-the-hood things. Will happen 12:00pm UTC on Friday ( https://t.co/pnFPugAqA1) on YouTube: https://t.co/TNngA7ZD00

if you ever feel stupid just know that i accidentally used an LLM to incorrectly parse a csv file and write ~15,000 files to my desktop

🦀 I'm really excited about today's Rust release! 🥳 - offset_of! - stripping release binaries by default! - IP/socket types available in no_std! - File::create_new (won't overwrite existing files)! - more array and slice methods (each_ref, chunk methods)! - Mutex::clear_poison!

My talk at #SCaLE21x went okay. Watch it if you like at https://t.co/CiM2shphz1 #nixos #nixtheplanet #nix

The AMD tinybox is on hold until we can build and run the relevant firmware on our GPUs. The driver is still very unstable, and when it crashes or hangs we have no way of debugging it. We have no way of dumping the state of a GPU. Apparently it isn't just the MES causing these

The ML ecosystem in France is on fire🔥 It has amazing talent and resources. Here are 10 facts you might not know: 1. There are great research labs - from @MistralAI and @kyutai_labs to large ones from @AIatMeta and @GoogleDeepMind. The Llama 2 and CodeLlama authors are based in

Typical problems of rust devs: * ext4 driver is only twice as fast, what to do? * ES2.0 implementation passes all conformance tests - how to remove last two .clone()? * Found undefined behavior in the DNS spec after modelling it with TypeStates