Suresh Kumar R

Well, I asked the character in app to type in the computer and control it and it did good enough for the first version maybe I’m sure they’re building capabilities in the lab as shown in video This is amazing. What are you complaining about?

Indeed, make it exist and then you can make it better

Thanks to AI coding agents. I can experiment and iterate faster on ideas rather than having to waste lot of time on analysis and design and waiting for myself and my team to learn particular programming language required and nuances of libraries that don’t work as expected Also once spec is in place, I can do other stuff while coding agents or working together keeping me updated with a dashboard of overall state of development process of an iteration without any other external tools Who else is using one major coding agent as orchestrator letting it orchestrate with others like grok Claude agy and codexfor AI council analysis and design , review of them, fixing the spec, creating plan and then developing testing and deploying in the production and testing? May be I will eventually move to using bots like grokbot for development also but that has to wait

Let’s not forget In inventing things, You start with nothing and gradually end with complex output like product and eventually you learn enough to start to simplify

If you have not read this book so far, tell me. What’s been stopping you?

You have not seen it then 😉

It seems the CPU overload did increase CPU sensor temp back though outer shell the case I use is not hot so internally CPU hits that temp form 60C to 64C based on load regardless of whether the case is touchable or cooled

I am building Onnx Runtime (ort) implementation of TensorRT in Jetson orin Nano and had to use Gel pack to reduce heat as its about 36C room temperature here in Karur District, TN, India 😂 my home village Not sure if it worked though as the build went to a stage where CPU load reduced But by feel I can say it’s working as it’s touchable now @nvidia @NVIDIAAI @NVIDIAAIDev @onnxruntime @onnxai