nerdright

Such a great read. This sentence is particularly chilling:

> you could be intellectually stuck right at this very moment, with the evidence right in front of your face and you just can’t see it.

This is such a great direction airbyte is taking and congrats to the lunch! I think you're very well-positioned for this opportunity than most people realize, given your reputable brand and your uncanny expertise in etl. It's honestly a natural progression of airbyte as far as the current AI landscape goes. Kudos to you and the team!

(We use airbyte at my company, although we self-host it.)

Funny how we all come to HN when the status page is lagging behind. HN is truly the real-time status page

There's still going to be some craftsmanship tho, right? I think software is evolving to be like a factory. Sure, you may not care much about each part of the factory, but the way these parts fit together to produce the desired value/output is still craft IMO. I have personally started enjoying this part and it's actually becoming pretty fun.

Haha this is surprisingly and exactly how I use claude as well. Quite fascinating that we independently discovered the same workflow.

I maintain two directories: "docs/proposals" (for the research md files) and "docs/plans" (for the planning md files). For complex research files, I typically break them down into multiple planning md files so claude can implement one at a time.

A small difference in my workflow is that I use subagents during implementation to avoid context from filling up quickly.

I like this take. In other words, AI is another abstraction layer. The same way Java is an abstraction layer for C/Assembly/binary (i.e. pick whatever base layer you want). This also implies that the software development industry has to change inevitably. For example, maybe craftsmanship is a mentality of the past.

Blockchain is well suited for this. Polymarket really proved that blockchain can be useful beyond crypto, especially when trust is at stake.

Great post indeed! I totally agree that embeddings are underrated. I feel like the "information retrieval/discovery" world is stuck using spears (i.e., term/keyword-based discovery) instead of embracing the modern tools (i.e., semantic-based discovery).

The other day I found myself trying to figure out some common themes across a bunch of comments I was looking at. I felt lazy to go through all of them so I turned my attention to the "Sentence Transformers" lib. I converted each comment into a vector embedding, applied k-means clustering on these embeddings, then gave each cluster to ChatGPT to summarize the corresponding comments. I have to admit, it was fun doing this and saved me lots of time!

I am loving this idea already. My Twitter timeline is a clusterfuck of political contents, which is exhausting. All I want is to indulge myself in entertaining posts and nothing more. I use Twitter as a way to relax and let my mind breathe. So this is wonderful to see!

Any plans to support Firebox on Android? I heavily use Twitter on my phone so would be sweet to install the extension on my phone.

It so happens that I am also looking for a new gig right now, so if you are still looking for an excellent dev, we should chat :)