Consider the past four months of life through the filter of from?site=debarshibasak.github.io : We've gone beyond DevOps, and have suffered the Death of the Roadmap. It is acknowledged that the Easy part of building is over, and We wonder if GitHub is still needed. Many things remain unclear of course, due to the Cambrian Explosion of AI.

Disclaimer, my summary is human generated

Several weeks ago, we published a more substantive article using this very same analogy:

https://www.linkedin.com/pulse/announcing-universal-mathemat...

The article describes a unifying mathematical framework for representing neural network architectures. It can be used to describe existing ones, like transformers and convolution, but can also be used to generate entirely novel ones. As part of our research, we generated several thousand new architectures, some of which show remarkable properties. The corresponding research paper is up on arXiv:

https://arxiv.org/abs/2605.04325

>we know what triggered this Cambrian explosion: GPT

I'm not sure it was that so much as the exponential improvement in hardware over many decades reaching roughly human equivalent levels.

I mean check out Moravec's 1997 paper predicting things will get funky in the mid 2020s long before anyone had thought of GPTs https://www.jetpress.org/volume1/moravec.htm

Gemini has to be the Opabinia of the AI explosion then? :)

Ugh, I am so tired of people drawing a comparison between large language models and life. They’re so different they’re not even comparable.