Impressive outcome. Redistricting rarely changes from outside input, so seeing a teenager’s map influence the final decision is unusual. A good reminder that clear, well-supported work can make a real impact.
Cool to look back at this. In 2007, getting a dedicated server online in minutes was a big deal. It shows how far automation and provisioning have come. Interesting snapshot of the hosting world before cloud took over.
This is a good reminder that benchmark results don’t always translate to real engineering work. Solving a scoped task inside a controlled setup is very different from working in a live codebase with missing context and messy history. Benchmarks are still useful, but they should be treated as one signal, not the full picture.
Always good to see more competition in the inference chip space, especially from Europe. The specs look solid, but the real test will be how mature the software stack is and whether teams can get models running without a lot of friction. If they can make that part smooth, it could become a practical option for workloads that want local control.
The walking theory has always seemed plausible. Curious whether newer research points to it being the common method or just one of several ways they moved the statues.
Good article. The part about common SWR misconceptions and what actually happens in the feed line is a solid reminder that RF intuition is often wrong.
Nice project. Roaring bitmaps can be very effective for fast set operations, so having them inside Postgres is interesting. I’d be curious to see real benchmarks though. If anyone has tried this on larger datasets, your experience would be good to hear.
Focused bug-fixing weeks like this really help improve product quality and team morale. It’s impressive to see the impact when everyone pitches in on these smaller but important issues that often get overlooked.
Nice to see Grok 4.1 Fast added to Puter.js. It fits well with their focus on lightweight, browser-based tools. Smaller models are getting good enough for real tasks, and having one that runs with low overhead in JavaScript makes client-side AI more practical.
Will be interesting to see what developers build with it and whether more AI work starts happening in the browser instead of always depending on a backend.
