Frans Ramirez

Lo único más poderoso que el odio, es el amor. The Only Thing More Powerful Than Hate is Love. @sanbenito #AppleMusicHalftime

@Sportsnet Is down

TURNING TWO IN STYLE LET'S GOOOOOOOO 🗣️🗣️🗣️

@ispykenny @expo Everything inside the /version/latest/sdk/** is unavailable

@expo Page is 404ing

Expo config plugins = a clean way to modify your native code without touching native code. Works great with CNG — update AndroidManifest.xml, Info.plist, icons, and more via JS. 📘 Updated intro guide here: docs.expo.dev/config-plugins…

@htc007Cheema @expo Same here

Can't access expo docs. Is expo service down for anyone. @expo #expo #reactnative

Deep dive into creating custom fields using @TanStack_Forms + React. Check the full post + code snippets here: fransramirez.com/blog/tanstack-… More content on #React patterns, #TypeScript, and more soon! 👨‍💻

🚀 Launching a new blog series sharing actionable solutions from my dev projects! First up: Building Scalable Design Systems with TanStack Forms. Struggling with custom form fields that play nicely with your component library?

@anamariasosam Shokz me funcionan muy bien

Oigan yo he probado todos las actividades deportivas. Ahora estoy con ganas de salir a correr, pero los airpods se me caen y los Sony que tengo dice que no son para hacer ejercicio. Alguna recomendación?

@librospatodos x.com/MapaDeLaNada/s…

@librospatodos Pero luego se muere durante la fiesta

@librospatodos No está muerto solo le dieron veneno y casi se muere

@librospatodos Estoy en el transporte pero ya agarro mejor señal

@xiam DIY

rolen contactos de sus dealers de energía solar en cdmx porque si yo me pongo a investigar cómo resolverlo no voy a poder parar y nomás me voy a crear otra adicción

@turingpi Build

🚨It’s Giveaway Time!🚨 Turing Pi 2.5 Cluster Board Giveaway Reply with "Build" to enter! Winner will be announced on January 27. Good luck!

@anamariasosam Si puede probar mientras se monitorea la RAM y CPU podría dar una pista.

@anamariasosam Me ha pasado que la carpeta de default tiene muchiiiiisimos archivos y eso hace que cargue lento. También si por allí tienen algunos programas tienen previsualización de archivos termina haciendo más lento todo. Aún así suena a que es por alguna extensión que se instaló.

Aiuda amix devs: Tengo un componente le permite al usuario añadir archivos, pero en Edge se está demorando muchísimo en abrir el modal para seleccionar los archivos (el que es nativo del navegador) . Como podemos probar la solución? Mi Edge carga super rápido 🥺

@Wealthsimple #WealthsimpleCrypto #contest not bad

Want a chance to win 1 full bitcoin? Yeah, you do. Repost and reply with #WealthsimpleCrypto and #contest to be entered into our all-time highest giveaway.

#WealthsimpleCrypto #contest para cerrar año.

Not every foundation model needs to be gigantic. We trained a 1.5M-parameter neural network to control the body of a humanoid robot. It takes a lot of subconscious processing for us humans to walk, maintain balance, and maneuver our arms and legs into desired positions. We capture this “subconsciousness” in HOVER, a single model that learns how to coordinate the motors of a humanoid robot to support locomotion and manipulation. We trained HOVER in NVIDIA Isaac, a GPU-powered simulation suite that accelerates physics by 10,000x faster than real time. To put the number in perspective, the robots undergo 1 year of intense training in a virtual “dojo”, but take only ~50 minutes of wall clock time on one GPU card. The neural net then transfers zero-shot to the real world without finetuning. HOVER can be *prompted* for various types of high-level motion instructions that we call “control modes”. To name a few: - Head and hand poses: can be captured by XR devices like Apple Vision Pro. - Whole-body poses: via MoCap or RGB camera. - Whole-body joint angles: Exoskeleton. - Root velocity command: Joysticks. What HOVER enables: - A unified interface for us to control the robot using whichever input devices are convenient at hand. - An easier way to collect whole-body teleoperation data for training. - An upstream Vision-Language-Action model to provide motion instructions, which HOVER translates to low-level motor signals at high frequency. HOVER supports any humanoid that can be simulated in Isaac. Bring your own robot, and watch it come to life! It's a big teamwork from NVIDIA GEAR Lab and collaborators: 🧵

Are you having issues with lambda resource consumption for simple tasks? No worries, try cargo-lambda.info and stop worrying.