Guille

Saw @marshallrichrds drone adventures (ty for the inspiration) and had to give it a try myself. Reversed the E58's video feed, vision-based navigation next 🚁

🇬🇧 We are looking for people to join the team, if facing hard problems sounds like fun, reach out! Imho it's a great opportunity to work on computer vision in real-world, high-stakes systems. 🇪🇸 Dale vente hazme caso.

I'm observing a mini Moravec's paradox within robotics: gymnastics that are difficult for humans are much easier for robots than "unsexy" tasks like cooking, cleaning, and assembling. It leads to a cognitive dissonance for people outside the field, "so, robots can parkour & breakdance, but why can't they take care of my dog?" Trust me, I got asked by my parents about this more than you think ... The "Robot Moravec's paradox" also creates the illusion that physical AI capabilities are way more advanced than they truly are. I'm not singling out Unitree, as it applies widely to all recent acrobatic demos in the industry. Here's a simple test: if you set up a wall in front of the side-flipping robot, it will slam into it at full force and make a spectacle. Because it's just overfitting that single reference motion, without any awareness of the surroundings. Here's why the paradox exists: it's much easier to train a "blind gymnast" than a robot that sees and manipulates. The former can be solved entirely in simulation and transferred zero-shot to the real world, while the latter demands extremely realistic rendering, contact physics, and messy real-world object dynamics - none of which can be simulated well. Imagine you can train LLMs not from the internet, but from a purely hand-crafted text console game. Roboticists got lucky. We happen to live in a world where accelerated physics engines are so good that we can get away with impressive acrobatics using literally zero real data. But we haven't yet discovered the same cheat code for general dexterity. Till then, we'll still get questioned by our confused parents.

Here are the first images from our forest mission 🌳🌴🌲, Biomass — launched less than two months ago: esa.int/Applications/O… (🧵 More images in the replies) 📸 Bolivia This image was created using Biomass's radar instrument and its different polarisation channels, with each colour revealing distinct characteristics of the landscape: Green = mainly rainforest Red = forested floodplains and wetlands Blue–purple = grasslands Black = rivers and lakes

Literally me (748274 hours left at the airport) More pics: guillesanbri.com/palettes/athen…

@marshallrichrds Niiice! Amazing work as always! I'll try to test it on the E58 this week and confirm but as you mentioned on the readme I'd be surprised if it doesn't work haha P.S. thanks for the mention in the video lol caught me off guard

atleast 5 more of the best selling "toy" drone models are now supported in turbodrone. I reverse engineered another mobile app called WiFi UAV that they all use and added it to the API. go check it out now!

It can all be so much more beautiful. Even the simple things... the soaps, the sinks, the lamps, and even the door knobs. All of it could delight us, if only we cared a little more. The problem isn't a lack of money. The problem is apathy. Making something beautiful begins with the decision to elevate your standards and commit to making something beautiful, and our culture has forgotten that simple fact. Until we raise our sights again, we'll be trapped in a dull existence of flat surfaces, lifeless white walls, and mass-produced objects that have no soul.

@marshallrichrds @ergaster9 haha thank you! 🫶

@GSBrread @ergaster9 great article btw!

Saw @marshallrichrds drone adventures (ty for the inspiration) and had to give it a try myself. Reversed the E58's video feed, vision-based navigation next 🚁

@ergaster9 Go for it! I published a write up of the process: - guillesanbri.com/drone-video/ But you should definitely check out the turbodrone repo which is the OG resource: - github.com/marshallrichar… And this vid: - x.com/marshallrichrd…

@GSBrread @marshallrichrds I'd love to reverse engineer mine. Any recommendaitons?

@marshallrichrds Thank you! Will try to make a PR tonight 🤝

@GSBrread yo that’s awesome! make a PR for the implementation on the turbodrone repo if you get a chance!

@diego_herass @AlexPalou Tú, hombre

@GSBrread @AlexPalou Alex o yo?

Casi dos años más tarde por fin he sacado tiempo para hacer otro. Livery de 2023 de Don @AlexPalou 🦍

@__Fontur__ OwO

@GSBrread Para evitar que te alejes si te beso

Bella Italia

@__Fontur__ Y ese bíceps?

@GSBrread El diablo

@rishabtwi As GPU poor as it gets :(

@GSBrread > Sadly, all my H200 are busy at the moment of writing (I don’t have any)

Published a quick write-up on some experiments I did with DyT (Dynamic Tanh) replacing LayerNorm in small Vision Transformers a couple of weeks ago. Main insights ⬇️

Link to the post and more info: guillesanbri.com/layernorm-tanh/

LayerNorm was faster with small dimensions! DyT becomes faster than both LayerNorm and RMSNorm at large scales (e.g., Llama-sized inputs).