I found it quite interesting how anthropic decides to allow Claude 3 to reflect on it's "retirement". While this might sound basic, the fact that each one has it's own "style" because as we all now they have different training data. Such a great reminder that when we see new launches, so often we think "Claude" but the reality is that each release whether major or minor changes "who" or "what" these things are and how they interact with us.
https://www.anthropic.com/research/deprecation-updates-opus-3
This made me think:
When you become a parent, you meet your child. And then you meet your child again. And again, every day after that. You will never stop meeting your child. To have a child is to fall in love with a thousand beautiful strangers.
https://www.derekthompson.org/p/three-reasons-to-be-a-parent
Ai visibility is a vanity metric and even though stakeholders are obsessing over it, doesn't change that fact. Here's a few ways to think about what you can track and how you can talk to your stakeholders about the new KPIs you'll need to track effectiveness.
https://www.seerinteractive.com/insights/ai-visibility-is-a-vanity-metric-prepare-your-execs
This AI overview had 17 brands linked, when you clicked on those 17 brand links 15 of them searched Google, no wonder why their searches aren't plummetting, they just turned links into searches.
I love a good read that describes why someone isn't fully embracing AI, these kinds of posts are hard to find. I love a post from someone that is balanced vs the "I hate AI" default state of too many people with simple arguments. Please give me any of your reads if you've got good ones.
Why I won’t be “AI-First” in 2026
https://bjorg.bjornroche.com/management/not-ai-first/
Really good read that is basic enough to give all of us a good framework to think about information retrieval in an AI world:
How LLMs and RAG Systems Retrieve, Rank, and Cite Content.
Casey Newton
