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Our quest to build a scalable, LLM-safe design system
The Justice department says the Pentagon needs xAI to keep using its unpermitted gas turbines.
Cursor disclosed at its June 16 Compile event that a 1.5 trillion parameter coding model is training across 100,000 GPUs and is weeks from launch.
Agents can spend test-time compute by trying, observing, and revising. We derive an Elo reference for repeated sampling, then show that in a 2022 two-week coding marathon, current agents plateau within 24 hours while top humans keep improving.
Hey everyone, I've been talking to a lot of robot engineers and kept hearing the same frustrations: - Debugging ROS2 errors takes hours - Setting up proper logging is painful - Writing boilerplate nodes wastes expert time So I built **Mechis** — a free AI co-pilot specifically for robot engineers. **What it does:** - 🐛 **Debug** — paste your error or stack trace, get the exact fix - 📋 **Logging** — describe your robot setup, get a complete ROS2 logging config - ⚙️ **Code Gen** — describe what you want in plain English, get clean ROS2 Python code **Try it free here:*\* mechis-neon.vercel.app No signup needed. Just open and use. --- **I'd genuinely love your feedback:** Did it actually help or was the answer generic? What's missing that you wish it had? What's the #1 ROS2 problem you face daily that a tool like this should solve? Would you pay for this? submitted by /u/According_Koala4857 [link] [Kommentare]