My favorite use-case for AI is writing logs
newsletter.vickiboykis.com
ChatGPT agent: bridging research and action
openai.com
Mistral Releases Deep Research, Voice, Projects in Le Chat
mistral.ai
People kept working, became healthier while on basic income: report
cbc.ca
Apple Intelligence Foundation Language Models Tech Report 2025
machinelearning.apple.com
Hand: open-source Robot Hand
github.com
Anthropic tightens usage limits for Claude Code without telling users
techcrunch.com
Mammals Evolved into Ant Eaters 12 Times Since Dinosaur Age, Study Finds
news.njit.edu
My experience with Claude Code after two weeks of adventures
sankalp.bearblog.dev
All AI models might be the same
blog.jxmo.io
Creating an autonomous system for fun and profit (2017)
blog.thelifeofkenneth.com
Self-taught engineers often outperform (2024)
michaelbastos.com
A look at IBM's short-lived "butterfly" ThinkPad 701 of 1995
fastcompany.com
Show HN: PlutoFilter- A single-header, zero-allocation image filter library in C
github.com
Run TypeScript code without worrying about configuration
tsx.is
Don't Fall for AI: Reasons for Writers to Reject Slop
mythcreants.com
Archaeologists discover tomb of first king of Caracol
uh.edu
Delaunay Mesh Generation (2012)
people.eecs.berkeley.edu
Writing a competitive BZip2 encoder in Ada from scratch in a few days (2024)
gautiersblog.blogspot.com
23andMe is out of bankruptcy. You should still delete your DNA
washingtonpost.com
Show HN: Easy alternative to giflib – header-only decoder in C
github.com
Ask HN: What Pocket alternatives did you move to?
"Think about where most breakthrough technologies actually come from. Not from some genius in a garage (though that’s a nice story). They come from decades of basic research funded by institutions that operate independently of political pressure. The internet you’re using to read this? That was DARPA. The GPS in your phone? Military research. The algorithms powering AI? University research.
Here’s how the ecosystem actually works: government funds basic research that has no obvious commercial application. Universities and research institutions build on that work, training graduate students who become the next generation of researchers and entrepreneurs. Some of those students go on to start companies that turn basic research into products. Others stay in academia and continue pushing the boundaries of what’s possible.
Yes, eventually the private markets and companies take over the commercialization, but so much of the core infrastructure of innovation comes from elsewhere.
And none of this happens overnight. The internet took decades to go from ARPANET to the web. GPS took years of satellite launches and signal processing advances. The machine learning techniques powering today’s AI boom are built on decades of research in statistics, computer science, and neuroscience."