Hey friends! In my latest blog post, I explore a diverse range of topics: recommended reads on Appalachia, an air-deflecting shield for faster running, challenges faced by media executives, unique Norwegian parenting styles, deep learning for engineers, and much more. It’s a whirlwind tour of intriguing articles perfect for your curious mind!
- “15 Books About Appalachia to Read Instead of Hillbilly Elegy”: From Kendra Winchester at Book Riot: Since Hillbilly Elegy came out in 2016, I’ve experienced countless people claiming t
- Air-deflecting shield allows athletes to run like the unimpeded wind: If you want to run faster, it definitely helps if you know what it feels like to run faster. The Airshield was designed with that fact in mind, as it allows runners to train without experiencing any air resistance.
- Are media executives missing the big picture?: Despite starting as journalists, many media managers struggle to shift from content to strategy, risking the future of their organizations.
- The Tortured Analogy Department: Print is having its own moment, not a vinyl moment.
- How to be a Norwegian parent: let your kids roam free, stay home alone, have fun – and fail: In Norway, children walk to school aged six, or even travel across the country – and no one bats an eyelid. Why do these kids have so much independence, while other countries are so risk-averse?
- When you want to avoid the news but also help save democracy: “It’s not where the glamor is, it’s where the power is.”
- THE ENGINEER’S GUIDE TO DEEP LEARNING: Among AI technologies, the Transformer, introduced in 2017, stands as a groundbreaking breakthrough. Initially developed as a machine translation model, its impact has extended to permeate nearly every field. Today, the Transformer model is considered essential knowledge for modern engineers.
- Devs Need System Design Tools, Not Diagramming Tools: Navigating The XY Problem: Reframing Questions to Solve the Right Problems.
- How To Know When It’s Time To Go: I retired in 2021 at 63.5 after about four decades as a programmer. What made me do this was not failing ability in any way, but after a year of consideration, I realized I didn’t care to do it anymore. Everyone will eventually reach a point at which they
- AI Tooling for Software Engineers in 2024: Reality Check (Part 1): How do software engineers utilize GenAI tools in their software development workflow? We sidestep the hype, and look to the reality of tech professionals using LLMs for coding and other tasks.