batuhandumani
Joined 3 years ago
Joined 3 years ago
I think the author started writing this on a whim and couldnt bring it to a proper conclusion. What i cant understand is how it managed to get such a high points on hn. Because the piece is completely stale—neither praise nor criticism. The author’s own thoughts are so generic that we hear them every single day in our daily lives, and especially on Hacker News, in the back-and-forth between the “Coddites” and the “Vibers” crowd.
My indirect take is that, since AI coding is already shrouded in uncertainty, there’s no need for it to remain in this kind of fog—this article will lose all relevance within five years and end up proving the author wrong.
I created my account two years ago, but I have barely used it. I am gonna deleting it so that i do not take up space unnecessarily. Still, one thing should not be forgotten, those who fail to adapt eventually fall behind.
Another issue is what stance they would have taken if the vote had yielded the exact opposite result. I sense a whiff of a long-term self-serving approach in Codeberg’s stance. Who can guarantee that a platform with open-source, human-written code won’t eventually make that code available for use in models?
Apart from these, for example, the author implemented the model the traditional way using C, but it is more convenient to use tf-lite micro on esp32s with the Berry script language.
However, since I have never used onnxin this kind of project, I cant speak to its advantages, so comparisons are difficult from my perspective. But as I said, tf-lite and offer benefits like easy integration, good optimization, and as the name implies, tensorFlow.