Yesterday I gave a Deep Dive session on my Cppyy_kit (https://t.co/JsHRvLexyj) project at #ROSCONUK . It was a great fun session where we spent a while going beyond the topic and we discussed what the future of software, libraries and frameworks may look like now with AI
@facontidavide To the extent that we can pull it off, I think we should aim for both. A deep understanding of the system we're building, together with a deep understanding of why we're building it.
Is the only thing I get out of this, to be honest
Today's robots are too unreliable and slow for real industrial work. Reinforcement learning changes that.
Meet KinetIQ Ascend: our robots practice real production tasks and improve predictably towards industrial reliability standards.
How it works 🧵
@facontidavide "optimise pls". Nah, jokes aside 80% is tests and performance benchmarks for this particular project. There were many incremental steps to get to this
@Fmrico Let's... Not design many frameworks and stick to a couple of good opinionated options? Haha (more than one, competition is good, but not dozens please!)
@facontidavide I so agree. I think, and I actually do like it (while I have a job lol), that roles in engineering will just be more multidisciplinary and more focused on delivery