I build AI systems used by students and companies today. But in 2016, I didn't know you could write one app for both Android and iPhone. I was 20. My first internship. No tasks, no mentorship, just a laptop and too much free time. So I decided to learn programming by building
CODE
-
Maintenance Costs Emerge as Real Challenge in Prompt-First Development
By
–
Shipping used to be the hard part. Now it's the easy part. Maintenance is where the real cost of prompt-first development shows up.
-
Robot Successfully Folds T-Shirts from Unstructured Initial States
By
–
This is the full video of the hardest version of the task: t-shirt folding from unstructured initial states.
— LeRobot (@LeRobotHF) 9 avril 2026
This setting really requires at least some strategy, since the robot first has to spread the shirt before it can complete the fold.
Full details on data collection… https://t.co/iC92SVqBJN pic.twitter.com/GFS16n7PzOThis is the full video of the hardest version of the task: t-shirt folding from unstructured initial states. This setting really requires at least some strategy, since the robot first has to spread the shirt before it can complete the fold. Full details on data collection strategies in the blog below. 👇 LeRobot (@LeRobotHF) Releasing the Unfolding Robotics blog! Time to unfold robotics: we trained a robot to fold clothes using 8 bimanual setups, 100+ hours of demonstrations, and 5k+ GPU hours. Flashy robot demos are everywhere. But you rarely see the real story: the data, the failures, the engineering. We’re sharing everything: code, data, and details in the blog → huggingface.co/spaces/lerobo… — https://nitter.net/LeRobotHF/status/2041542790610297259#m
→ View original post on X — @clementdelangue, 2026-04-09 11:03 UTC
-
Rembrandt-2 Face Generation Model Shows Promising Early Results
By
–
Rembrandt-2, the next iteration to Rembrandt-1, is a powerful face image generation model, which is still under training, and here are some results with 15% of the total training steps. The results look awesome! I will share the source code for both Rembrandt-1 and Rembrandt-2 on Github, alongside the trained weights, as this is an open model. Please note that, this is not the full trained model and the images have artifacts, it's just 15% of the total training steps, so this is not a right time to judge. Rem2 is still undertraining.
→ View original post on X — @scobleizer, 2026-04-09 10:23 UTC
-
Red Hat maintainers collaborate on open source projects
By
–
We have maintainers from Red Hat and I sit next to her.
-
The Ultimate Roadmap to Learn AI Agents
By
–
The Ultimate Roadmap to Learn #AIAgents
— Ronald van Loon (@Ronald_vanLoon) 9 avril 2026
by @Python_Dv#GenerativeAI #ArtificialIntelligence #MachineLearning pic.twitter.com/tE5SacFm9oThe Ultimate Roadmap to Learn #AIAgents by @Python_Dv #GenerativeAI #ArtificialIntelligence #MachineLearning
-
Adding instruction to agents markdown documentation
By
–
Adding this as an instruction to your agents md should fix that IIUC
-
Artificial Intelligence Engineering Roadmap by Dhanian
By
–
#ArtificialIntelligence Engineering Roadmap
— Ronald van Loon (@Ronald_vanLoon) 9 avril 2026
by @e_opore
#AI #MachineLearning #MI #ML pic.twitter.com/HrUrtSJEfL#ArtificialIntelligence Engineering Roadmap by @e_opore #AI #MachineLearning #MI #ML
-
RAGEN-2: Reasoning Collapse in Agentic Reinforcement Learning
By
–
RAGEN-2: Reasoning Collapse in Agentic RL
— 机器之心 JIQIZHIXIN (@jiqizhixin) 9 avril 2026
Paper: https://t.co/w4mCiZzCOp
Project: https://t.co/LFS5PpioMF
Code: https://t.co/f5bO13kGrn pic.twitter.com/dMzR3eZMwcRAGEN-2: Reasoning Collapse in Agentic RL Paper: huggingface.co/papers/2604.0… Project: ragen-ai.github.io/v2/ Code: github.com/mll-lab-nu/RAGEN
-
50 Steps to Master AI and Machine Learning
By
–
50 Steps to Master #AI
— Ronald van Loon (@Ronald_vanLoon) 9 avril 2026
by @PythonPr#ArtificialIntelligence #MachineLearning #ML #DL pic.twitter.com/2hCL0D6nAL50 Steps to Master #AI by @PythonPr #ArtificialIntelligence #MachineLearning #ML #DL