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I was an early member of the CNCF community (circa 2016), and at the time I thought "wow things are moving quickly." Lots of different tech was being introduced
by rdli 3y ago
I was an early member of the CNCF community (circa 2016), and at the time I thought "wow things are moving quickly." Lots of different tech was being introduced to solve similar problems -- I distinctly remember multiple ways of templating K8S YAML :-).
Now that I'm spending time learning AI, it feels the same -- but the innovation pace feels at least 10x faster than the evolution of the cloud native ecosystem.
At this point, there's a reasonable degree of convergence around the core abstractions you should start with in the cloud-native world, and an article written today on this would probably be fine a year from now. I doubt this is the case in AI.
(Caveat: I've only been learning about the space for about 4 weeks, so maybe it's just me!)
- whimsicalism 3y ago> At this point, there's a reasonable degree of convergence around the core abstractions you should start with in the cloud-native world, and an article written today on this would probably be fine a year from now. I doubt this is the case in AI. It's a continuous process. It is way, way, way better than it was 8 years ago. Most of the frameworks can export models between each other/delta some layers, ONNX actually largely kinda works.
- quickthrower2 3y agoAlso 4 weeksish in. I am not a good future seer. I tried learning ML years ago but got bored. Not even stable diffusion budged me to even look at it again. But ChatGPT?!! Hell yeah I am motivated now! I will not be ashamed to say I am jumping on the bandwagon! More seriously I want to at least deeply understand the tech that will change our lives.