Last Updated: 30th June 2025
Generative AI has been the fastest moving technology I have seen in my lifetime. Its also happens to be terribly misunderstood.
We have already seen large companies and even governments ship dysfunctional or even dangerous AI products. Sufficiently uninformed people misunderstand how to apply AI with concretely negative consequences.
The most common errors of misunderstanding are either underestimation (“it’s all hype that will blow over”) or overestimation (“I don’t need programmers anymore”). These patterns are rooted in a lack of a solid understanding of the technology and how it is evolving over time.
It’s surprisingly challenging to build a clear understanding of AI. We are in one of the most polluted information environments. If you’re not being deliberate about it, you are likely exposed to a lot of misinformation that overstates or dismisses AI capabilities.
To help with this, I’ve curated a list of sources that make up an information pipeline that I consider balanced and healthy. If you’re late to the game, consider this a good starting point.
Table of Contents
General guidelines
Stay close to the source. The further you stray from reading official announcements and write-ups from the AI labs, the more likely you are going to be exposed to noise. Always assume that all reporting is wrong by default, unless it’s coming from the primary source, or one of the people listed here.
Follow trustworthy individuals for commentary. I have linked to many individuals who talk about AI developments in good faith and engage with a deep sense of curiosity.
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