The data on the results section shows almost parity between the control group and participants who discontinued for 2 years.
Note that while it is a well conducted study at the US VA with 300,000+ patients, it is not a randomized study so fully eliminating confounding variables and reverse causality is hard.
In the day of so much AI content, that straight-up-rant felt oddly... human.
It felt like sitting on the old college dorm a lifetime ago unwinding at the end of the day over a beer; and listening to the rant of a batchmate who has obsessed over every single alternative available for their specific use-case and not found one that even comes close.
Python is a rather accessible language to learn, and that the performance gap has closed enabling this simple language to operate at all levels It's fascinating.
> Vertical slice architecture — organizing code by feature with each slice self-contained — is emerging as the AI-friendly pattern because it maximizes context isolation.
> Three architectural principles are gaining consensus: "token efficiency" as a design constraint (structuring code to minimize the context an AI model needs for any given task), explicit over implicit everywhere (explicit types, explicit error handling, explicit interfaces), and co-location of related code. These principles aren't new, but AI has given them renewed urgency.
I found the architecture section of his article (which is pretty far down) to be the most interesting.
> The data on AI's differential impact is now overwhelming. Faros AI's Productivity Paradox Report (10,000+ developers, 1,255 teams) found that high-AI-adoption teams completed 21% more tasks and merged 98% more pull requests — but PR review time increased 91%, creating a critical bottleneck at human approval. At the organizational level, any correlation between AI adoption and performance metrics evaporated. This is Amdahl's Law applied to software: a system moves only as fast as its slowest link.
We've definitely faced the review bottleneck on the open-source project that I maintain. ( github.com/robotmcp/ros-mcp-server )
This is the kind of positivity that I love finding find once going down the rabbit hole of board games today.
So make amazing suggestions in this list, including two of my favorites: Terraforming Mars and Brass Birmingham.
Just chiming an opinion that Brass Birmingham is high on the complexity scale for beginner board gamers. Or more specifically, high on a frustration scale because there are so many placement restrictions that there are often only 1-2 legal moves to play and figuring out what they are is quite a challenge for people playing the first time. (From experience that we as well as several others we know had on their respective first times)
BoardGameGeek is the place to read up on games before buying them.
On the 'without spending money' front, depending on the city where you live, there often are board game cafes where you can go to rent games and play over there.
More economical if you are playing the game once or want to try out different games. Also very good if you struggle with learning rules from the rulebook.