Claire 0xCAFE_BABE

🛠 #MachineLearning #AutonomousRobots
☮️☯️Breathe into your belly 🙏🏻
"Hacking the deepest of the mind" 🏳️‍🌈
OM
🐕🐶

[Melodies & Masterpieces @SVG__Collection]

Happy 91st birthday to Carol Kaye!

She is one of the most prolific recorded bass guitarists in rock and pop music, playing on an estimated 10,000 recordings in a career spanning over 65 years.

[Simon Willison @simonw]

Turns out you can run enormous Mixture-of-Experts on Mac hardware without fitting the whole model in RAM by streaming a subset of expert weights from SSD for each generated token - and people keep finding ways to run bigger models

Kimi 2.5 is 1T, but only 32B active so fits 96GB

[Science girl @sciencegirl]

Klangphonics is a three-piece band from Regensburg, Germany, incorporating the sound of a sewing machine

[Andrej Karpathy @karpathy]

Software horror: litellm PyPI supply chain attack.

Simple `pip install litellm` was enough to exfiltrate SSH keys, AWS/GCP/Azure creds, Kubernetes configs, git credentials, env vars (all your API keys), shell history, crypto wallets, SSL private keys, CI/CD secrets, database passwords.

LiteLLM itself has 97 million downloads per month which is already terrible, but much worse, the contagion spreads to any project that depends on litellm. For example, if you did `pip install dspy` (which depended on litellm>=1.64.0), you'd also be pwnd. Same for any other large project that depended on litellm.

Afaict the poisoned version was up for only less than ~1 hour. The attack had a bug which led to its discovery - Callum McMahon was using an MCP plugin inside Cursor that pulled in litellm as a transitive dependency. When litellm 1.82.8 installed, their machine ran out of RAM and crashed. So if the attacker didn't vibe code this attack it could have been undetected for many days or weeks.

Supply chain attacks like this are basically the scariest thing imaginable in modern software. Every time you install any depedency you could be pulling in a poisoned package anywhere deep inside its entire depedency tree. This is especially risky with large projects that might have lots and lots of dependencies. The credentials that do get stolen in each attack can then be used to take over more accounts and compromise more packages.

Classical software engineering would have you believe that dependencies are good (we're building pyramids from bricks), but imo this has to be re-evaluated, and it's why I've been so growingly averse to them, preferring to use LLMs to "yoink" functionality when it's simple enough and possible.

[Ryohei Sasaki@engineer @rsasaki0109]

LEGO-SLAM: Language-Embedded Gaussian Optimization SLAM
https://t.co/4WHI6DWZHn
LEGO-SLAM running at 15 FPS on a ScanNet scene with language-based loop closing for drift correction.

LEGO-SLAM is a 3DGS-based SLAM framework that supports open-vocabulary semantic querying and rendering. It tracks via G-ICP and efficiently builds a map by embedding Gaussians with scene-adaptive 16D language features. Map management is achieved through Language Pruning and Language-Based Loop Detection. The generated map enables open-vocabulary 3D Object Localization.

[Massimo @Rainmaker1973]

Tiny dog dressed as a donkey meets a baby donkey

[🎞️ Buddy LOL, ai]

[ᗰᗩƳᖇᗩ @LePapillonBlu2]

Meanwhile in Floriduh 🤣

[Buitengebieden @buitengebieden]

Puppy slide.. 😊

[Wholesome Side of 𝕏 @itsme_urstruly]

A Border Collie that can skateboard and even do spins/turns

[𝕐o̴g̴ @Yoda4ever]

Seven dogs stolen from their owners have gone viral after escaping from an illegal transport truck and making their way home.

They traveled around 17 km together, led by a corgi across highways and fields, now safely back with their respective owners..🐶🐾🥺❤️

[Alex Greenland @ajrgd]

@rtwlz surely it should be the canon

[Richard McElreath 🐈‍⬛ @rlmcelreath]

Statistical Rethinking 2026 is done: 20 new lectures emphasizing logical & critical statistical workflow, from basics of probability to causal inference to reliable computation to sensitivity. It's all free, made just for you. Lecture list & links: https://t.co/jFpoiNC6oW

[Historic Vids @historyinmemes]

The President of Ireland is known for bringing his dog along almost everywhere he goes.

[𝗧𝗶𝗺𝗲𝗹𝗲𝘀𝘀 𝗠𝘂𝘀𝗶𝗰 ✨🎵 @Hoang_HQ]

Gabriella Quevedo transforms 'Another Brick in the Wall' into an emotional, powerful, and refined fingerstyle guitar masterpiece!🙌👏👏🎸🔥

[kanav @kanavtwt]

Someone built a Google translate for Linkedin 😭

[Massimo @Rainmaker1973]

The Robotics team from Wissahickon High School in Ambler, Pennsylvania, built the robot Miss Daisy XXIV that picks up balls and shoots them into a container.

[Kegham Balian @kbalian90]

Lebanese cellist Mahdi Saheli playing Armenian composer Aram Khachaturian's Andantino in the ruins of southern Beirut.

[Buitengebieden @buitengebieden]

Yoga time.. 😊

[Andrej Karpathy @karpathy]

Thank you Jensen and NVIDIA! She’s a real beauty! I was told I’d be getting a secret gift, with a hint that it requires 20 amps. (So I knew it had to be good). She’ll make for a beautiful, spacious home for my Dobby the House Elf claw, among lots of other tinkering, thank you!!

[Peter Holderrieth @peholderrieth]

🚀MIT Flow Matching and Diffusion Lecture 2026 Released (https://t.co/bKgs2wghvY)!

We just released our new MIT 2026 course on flow matching and diffusion models! We teach the full stack of modern AI image, video, protein generators - theory and practice. We include:
📺 Videos: Step-by-step derivations.
📝 Notes: Mathematically self-contained lecture notes
💻 Coding: Hands-on exercises for every component

We fully improved last years’ iteration and added new topics: latent spaces, diffusion transformers, building language models with discrete diffusion models.

Everything is available here: https://t.co/bKgs2wghvY

A huge thanks to Tommi Jaakkola for his support in making this class possible and Ashay Athalye (MIT SOUL) for the incredible production! Was fun to do this with @RShprints!

#MachineLearning #GenerativeAI #MIT #DiffusionModels #AI