Andrés Suárez

Just a curious mind.

[Alejandro AO 🤗 @_alejandroao]

tau mentioned 🫶
so happy to see tau following pi so closely.

[Oliver Medhurst @CanadaHonk]

Porffor alpha is out! It represents a new phase of the project where real-world dependencies are beginning to work and Node compatibility is the main bottleneck. To be clear, it still likely won't work with your app yet, but it is much closer than before.

[Manning Publications @ManningBooks]

You don't need enterprise hardware to learn how reasoning models work.

Build a Reasoning Model (From Scratch) by @rasbt walks through building one with examples that run on a regular laptop, downloadable code, and exercise solutions to reinforce what you learn.

The print edition is now available and 50% off through Sunday: https://t.co/H0PZYdfuVG

See the accompanying code: https://t.co/nrsKmfR3Hs

[Alexandre TL @AlexandreTL2]

The book, along with its supplementary material, is available for free here: https://t.co/1n6iB50MZs

Or you can buy a paperback copy on Amazon by looking up its name (sold at cost)

It is a much revised version of a video series I gave in 2020 here: https://t.co/pCSfOHyYEm

[Alejandro AO 🤗 @_alejandroao]

it's been less than 2 weeks btw ~ 1k+ stars 🤗

[LeRobot @LeRobotHF]

VLA-JEPA just dropped in LeRobot 🤖

What makes this model special is that it does not just learn what action to take from a given observation, it also leverages a JEPA world model to learn action-relevant dynamics.

During training, the VLA leverages V-JEPA2 by conditioning its predictor. This clever trick adds a world modeling objective to the training, which also allows pretraining on human videos.
At inference, the world model is dropped entirely, keeping only a standard VLA architecture: Qwen backbone and action head.

The demo here was only fine-tuned on 13 examples, showing great pretraining capability and running in real time on @NVIDIARobotics DGX Spark!

VLA-JEPA is the first world model to be ported to LeRobot, and I feel like it won't be the last 🚀

@Thom_Wolf @ClementDelangue

[Coralie @nomad_maker]

https://t.co/8033i1SiI0

[Kirill @kirillk_web3]

instead of watching 2 hours of Netflix tonight, watch this 40-minute masterclass from the founder of a $20B China AI company

it's the clearest explanation I've seen of how Agent Swarms and AI systems actually work at scale

useful whether you've never built an agent in your life or have been using Claude every day for the past year

I took the key ideas and turned them into a practical guide on how to actually build with Kimi

find it below

[François Chollet @fchollet]

I wrote Deep Learning with Python to be the definitive guide to how deep learning works and how to best make use of it. Tens of thousands of people got their career start via this book. 120,000 copies sold, and downloaded by millions more.

And now it's free to read online: https://t.co/3CbcQ7hmjp

[Sipeed @SipeedLab]

#PicoClaw is exploding! 🚀
500⭐ on GitHub in 15 hours!
This ultra-lightweight beast only needs 10MB RAM to deploy~ #openclaw
Many opensource hardware tested: $10 LicheeRV-Nano,NanoKVM,MaixCAM2, and the 512MB Raspberry Pi Zero runs it like a breeze! 🍰https://t.co/OF6rG9jIoX

[Fauna Robotics @faunarobotics]

Meet Sprout.

Today, we’re releasing a new kind of robotics platform. One designed to move out of the lab and into the real world, closer to the people who will shape what robots become next. [1/4]

[Lukas Ziegler @lukas_m_ziegler]

Learn the differences between motion profiles! 💨

A real demonstration of engineering skills.

In each robotic arm, in each legged robot, you will discover actuators that make the robot move!

Let's compare two motion profiles: rectangular and trapezoid.

- A rectangular motion profile is like a car with abrupt starts and stops, ideal for situations where speed is crucial. 🚙

- A trapezoid motion profile involves gradual acceleration and deceleration, offering a smoother ride, perfect for scenarios where precision and smoothness are essential, just like handling a pint of beer with care (I love your way of showing the difference! 🍻)

P.S. Can you name different applications for these two motion profiles in robotics?

~~

♻️ Join the weekly robotics newsletter, and never miss any news → https://t.co/GoA3ZuwoPB

[Jaromil @jaromil]

✨ Picture this: Execute C files as effortlessly as you would a Python or shell script. Now, visualize running an entire codebase with `cjit *.c`! 💣 Believe it or not, all this magic fits into an executable under 2MB. 🪽 Plus, no EULA to bog you down! #CProgramming #TechMagic #NoEULA

[Raspberry Pi Official Magazine @rpimagazine]

New issue release!

Get the ultimate gift guide for makers in issue 160 of Raspberry Pi Official Magazine

Also inside:

- Drummable business cards
- Create custom Christmas lights
- Big quiz of the (Raspberry Pi) year

All this and more at https://t.co/bPHuIMD3J0

[ℏεsam @Hesamation]

i finally did it.

just uploaded my first video on youtube about the most common DM i get: “what should i learn next?”

0 views, 0 subscribers.

i’ll be talking more about ai projects and share ml resources and roadmaps. let’s see how this arc turns out.

watch here: https://t.co/klrBwerkO9

[Grant Sanderson @3blue1brown]

The next video in the Laplace Transform sequence is up!

https://t.co/Ln1CXghmBj

Here, we dig into a concrete example, the forced oscillator. Some of you may remember that this was relevant for studying why light slows down in a medium.

[Paweł Huryn @PawelHuryn]

After an interview with @karpathy, everyone is talking about what AI agents can/can't do.

But an opinion without data is just a hypothesis.

So, I tested 3x185 workflow executions for a market researcher agent.

The results have shocked me🧵

[LeRobot @LeRobotHF]

We just released a free online robotics course! Let's make everyone robotics AI builders thanks to open-source! 🦾🦾🦾

The course will take you on a journey, from classical robotics to modern learning-based approaches, in understanding, implementing, and applying machine learning techniques to real robotic systems.

It is based on the Robot Learning Tutorial, which is a comprehensive guide to robot learning for researchers and practitioners.

It bridges theory and practice in Robotics. It's designed for people interested in understanding how machine learning is transforming robotics. Whether you're new to robotics or looking to understand learning-based approaches, this course will guide you step by step.

At the end of this course, you'll understand:
- how robots learn from data
- why learning-based approaches are transforming robotics
- how to implement these techniques using modern tools like LeRobot

🦾🦾🦾

[Grant Sanderson @3blue1brown]

Ever since I made a video about Fourier Transforms, one of the most requested topics on the channel has been its close cousin, the Laplace Transform.

I've been having a lot of fun animating a mini-series about this topic, and the main part is now out.

https://t.co/oKawJAGyx1

[Govardhana Miriyala Kannaiah @govardhana_mk]

DevOps official language has to be 'YAML'

- Helm uses YAML
- GitHub uses YAML
- Ansible uses YAML
- Argo CD uses YAML
- Kubernetes uses YAML
- Azure DevOps uses YAML
- Docker Compose uses YAML
and more ...

All the sophisticated toolsets you aspire to learn and adopt run on YAML.

Get that right first.

55K+ read my DevOps and Cloud newsletter: https://t.co/WBucLdwLhJ

What do we cover:
DevOps, Cloud, Kubernetes, IaC, GitOps, MLOps

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