6,499 karma · joined July 5, 2010
AI can generate reusable artifacts including definitions of the data sources, why not? Most BI dashboards are just XML or JSON (or YAML) files and include definitions of data sources (directly or via semantic models). I struggle to see how dbtCharts is different. Yes, your YAML schema is clean and nice, but that's because you're in the early stages :) Once you go through feature bloat, your YAML format will become much more complex.
AI can generate an XML/JSON/YAML definition of a BI report according to a spec and link the data source in whatever form it should be referenced in the file. For instance, here is a skills file for defining data sources (semantic models) in AI-generated Power BI dashboards: https://github.com/microsoft/skills-for-fabric/blob/main/plu...
So yes, a nice and logical development of dbt, but hardly as innovative as the blog post wants to sound. Nevertheless, I think it's a good idea that will be popular in certain circles. Hiring a professional data designer is a good idea - data visualization is very easy to get wrong.
There is another reason: greed. With that much money invested into AI (including policymakers), nobody will slow down or vote for slowing down.
I applaud to the author for creativity and I'd be tempted to try (elements of) it in practice next time, but I don't see anything good coming out of it at scale.
What big corp is not a total mess?
This is in theory. In practice, a worse product with more money and louder marketing easily wins against a better product nobody knows about. I'm sure Paul perfectly understands it.
There are other idealizations I won't comment on, but the whole piece reads like an attempt to nurture an application pipeline for YC rather than the genuine writing I liked in earlier Paul's essays.
Here is an alternative point of view: get your degree and work for a few years. Then go back to university to learn business basics (finance, marketing, management). Start a company in your late 30s, when you know your subject area well and you have an idea how to steer finance/marketing (marketing is much harder that it might seem). Bootstrap or take as little investment as possible until you get PMF. Then scale up without giving away (much) equity.
It worked well for me. It can surely work well for others.
https://www.cbc.ca/news/canada/saskatchewan/australian-beef-...
They actually do. The segment of small jet-powered (military) drones is rapidly growing and isn't served by the big jet engine manufacturers.
To pay back $3 trillion, 1 billion consumers will have to pay just $3000 each, or $83/mo monthly over 3 years, on average. Of course they will pay that and even more.