Back

Figure just announced ending its collaboration with OpenAI while also touting a major breakthrough. I think its probably because openai is also moving into robotics and Figure doesn't want its proprietary robotics breakthroughs integrated into OpenA

Understanding the Task Completion Process in Computing Ever wondered how tasks get completed on your computer? Let's break it down into four essential steps: 1. User Initiation It all begins with you, the user! Your actions, like clicking a button

Kids die for love Man die for financial instability Legends die for passion! Just watched the Netflix docuseries of Subrata Roy the bad boy big billionaire! Not an inspirational character! Because genius die for nothing, They live, live along!!

Exploring the Future of Robotics & Automation The fields of Robotics and Automation are evolving rapidly, opening up vast opportunities across industries like manufacturing, healthcare, defense, agriculture, and more. With advancements in AI, machine

🖥️ Understanding Virtual Machines: Demystifying Virtualization Ever wondered about virtual machines (VMs) and their role in modern computing? 🤔 A virtual machine (VM) is essentially a virtualized instance of a physical computer. In simpler terms,

Hello, I am working on one wearable device to build..I am looking for co founder who has good knowledge of circuits and hardware components.. Ping me here on comments..will connect with u..

🚨 SmolVLA is here — and it’s changing how we think about robotics AI. Hugging Face just released SmolVLA, a lightweight Vision-Language-Action model trained on community-shared datasets from their LeRobot platform. Despite being just 450M paramete

90% Businesses die because of bad cashflow, something where people never have a real look on. Look, businesses never built on just product, marketing, or sales. They built on cashflow.

Growth Looks Sexy. But It’s Often a Distraction 🔥 Here’s a dirty little truth of startup land: Most startups don’t die because of competition. They die because they scaled too fast. → Burned cash on ads → Hired too many people → Built features n