Yup, good point. They don't understand or they don't care or possibly both. The frustrating part is that this is still a hugely impactful technology, even without showing us a clear path toward AGI. But if we keep talking about AGI being the 'next stop' on this journey, we'll burn a lot of excitement and trust in LLMs...
I'd be curious to hear everyone's opinion on this analogy. The difference in 'reasoning' between LLMs and human developers is critical, as LLMs use probabilistic calculations, while humane use deductive logic. That is why I do not think that copilots will replace human developers anytime soon.
After KubeCon in Chicago, what was the one topic that was the most top of mind? I'm curious to hear some opinions from different perspectives (roles). I found observability in the form of OpenTelemetry and eBPF were everywhere. In this context I found it interesting that pipeline control and cost reduction were a constant topic related to observability. Now I'm curious what others think.
I'm wondering how credible VMware customers find the company's cloud native application strategy and multi-cloud management strategy based on the Tanzu portfolio. When you have 500.000 vSphere customers, is it even possible to go 'cloud native' without eroding this massive base? Will they still be able to attract the right talent under the roof of Broadcom? Is CloudFoundry the right foundation for Kubernetes stacks? And most importantly, is there enough value in an abstraction layer above AWS, Azure and Google Cloud?
None of these questions are meant to be rhetorical or even cynical but I'm genuinely interested in what everybody thinks and why.
