The Digital Embrace | Social Security’s Final Paper Cutoff The digital embrace Social Security shuts the ...

Sequoyah’s syllabary faced suspicion initially, but after a demonstration, his version of “talking leaves” was widely embraced. And then the word spread

Hey everyone! I teach CS and programming at a small school in Syria and I'm in the middle of designing a full 5-year hardware-focused IT curriculum. I'd love some honest feedback from people with hands-on robotics/embedded systems experience. Here's the current plan: - **Grade 7:** Lego Spike Prime + Micro:bit - **Grade 8:** Arduino Uno with multiple sensors - **Grade 9:** Project-based learning with Arduino *(see note below)* - **Grade 10:** ESP32 - **Grade 11:** Advanced ESP32 + Raspberry Pi **Note on Grade 9:** This is the Basic Education Certificate year (think national standardized exams), so the curriculum here is intentionally lighter — more of a consolidation year with small projects rather than introducing heavy new concepts. Students won't have the bandwidth for anything too demanding, so I'm keeping it Arduino-based but project-driven to keep them engaged without piling on. --- **My questions for the community:** **Is this hardware progression age-appropriate?** Students range from roughly 12–17. Does the jump between stages feel right, or are there places where it's too much too soon (or not enough)? **ESP32 in grades 10–11 — good idea or not?** I like it because it covers WiFi/BLE, has plenty of GPIO, and feels like a natural step up from Arduino. But I've heard mixed things about its learning curve and toolchain complexity for high schoolers. What's been your experience? **Are there better alternatives to the ESP32 at that level?** I'm open to suggestions — whether that's staying on the Arduino ecosystem (Nano 33 IoT, Portenta, Uno R4 ?), or something else entirely. Budget is a consideration but not the only one. Any feedback appreciated — curriculum design resources, pitfalls to avoid, or even just "this worked great for my students" stories. Thanks in advance! submitted by /u/Pastalini_Byte [link] [Kommentare]

Hi everyone, I recently completed my Bachelor's degree in Mechatronics and Robotics Engineering, and I'm currently focusing on improving my ROS 2 skills. I'm looking for individuals, teams, or communities that are actively working with ROS 2 and would be open to having a beginner- or intermediate-level member join them. My goal is to gain practical experience, contribute to projects, learn best practices, and develop my robotics software skills. If you know of any ROS 2 groups, open-source projects, Discord servers, study groups, or communities where I can learn and collaborate, I would greatly appreciate your recommendations. I'm motivated to learn, willing to put in the work, and eager to contribute wherever I can. Thank you in advance. submitted by /u/Maleficent_Youth_168 [link] [Kommentare]

Here you can see how Bill Gates thought about memory: In this Software Notes newsletter from 1975, he explains the strategies and tricks he employs to squeeze things to the utmost. Back then, "memory budgeting" wasn't just a best practice, it was a survival skill. What are your approaches today? You can see more how Gates approaches systems design, handwritten diagrams, and BASIC source code here : https://www.programmersatwork.net/bill-gates submitted by /u/slammers00 [link] [Kommentare]

Hey everyone, Daniel here, we’re building Vastnaut One, a 4x4 exoskeleton designed for people moving through demanding terrain with load where fatigue tends to build gradually across hips and knees, especially on descents. What you’re looking at here is part of our joint aging tests, repeating the same movement cycles than any normal hike would require. At some point, it stops looking like testing and starts looking a bit obsessive. Our system works across both hips and knees in real time step by step based on movement, terrain, and load. The goal isn’t to change how you move, but to redistribute effort over time so the later miles feel closer to the first. Curious how others here think about for a wearable like this, and what do you usually trust as a good enough cycle count. submitted by /u/dan1elfeng [link] [Kommentare]

Hey everyone, ​ I just completed my first year in Electronics and Computer Engineering and I’m currently working on a robotic arm project. ​ I already have the STEP files, datasheets, and most of the components finalized. The issue I’m facing is with the actual mechanical CAD/design part in Fusion 360 — mainly assembling the arm properly, joint design, motor mounting, bearing placement, alignment, etc. ​ I’ve tried using AI tools like ChatGPT and Claude for guidance, but for complex robotics CAD they often give incorrect Fusion 360 steps or impractical mechanical solutions. ​ I’m looking for someone who has experience with: ​ - robotic arm design - mechanical CAD - Fusion 360 - robotics assemblies ​ Even some guidance, feedback, or help with a few parts of the design would really help me move forward. ​ I can share a ZIP file containing all the STEP files and datasheets if anyone is interested. ​ Unfortunately I can’t pay right now since I’m still a student, but I’m genuinely trying to learn and build this project seriously. ​ You can DM me or contact me at: deepkukreja31@gmail.com submitted by /u/Life_Transition3270 [link] [Kommentare]

Andrew Barry of Generalist compares earlier robot behaviors, including Spot opening doors, with the newer learned-model approach being used for dexterous manipulation. The older approach relied on hard-coded controllers for different parts of a task. The newer approach is aimed at giving the model a wider range of usable behavior when it sees something outside the exact training case. Barry describes this as “improvisational intelligence,” where the robot encounters a new variation and still takes a reasonable action instead of immediately failing. He also connects this to how humans complete manipulation tasks. A person does not need to make every pick or motion perfectly on the first try. They can miss, adjust, regrasp, and continue the task. submitted by /u/Responsible-Grass452 [link] [Kommentare]

Just a quick demo to see how fast my hand is! I started with a baseline 5 second, finger-to-thumb opposition cycle and increased the speed until the fingers started to lose contact. The pinky starts to lose contact with the thumb at around 12x and the rest of the fingers barely make contact at 14x and beyond. Having the fingers be tendon driven does help a good bit in reducing inertia to get these max achievable speeds. Although, I'm not sure there's even a good reason to be moving this fast.. submitted by /u/qualitygui [link] [Kommentare]