The author articulates perfectly what I think too. I’d recommend for everyone to read Writing to Learn by William Zinsser. It’s an incredible book showing that you can learn anything by writing about it.
With an LLM doing all the writing for you, you learn close to nothing.
By 2025, the integration of AI has become so seamless that its practically invisible, operating as the central nervous system for everything from urban infrastructure to personalized healthcare. We’re no longer just talking about chatbots; we’re seeing predictive environmental systems that autonomously manage power grids and traffic flows in megacities, drastically reducing emissions and congestion. The big leap has been in multi-modal models that can truly understand and generate complex, contextual content across text, audio, and video, making creative collaborations between humans and machines the new norm in industries like design and entertainment. Its a shift from tools to partners.
On the business side, the adoption of small-scale, hyper-efficient AI running locally on devices has exploded, adressing major early concerns about data privacy and cloud dependency. These compact models allow for real-time data analysis and decision-making without a constant internet connection, revolutionizing fields like precision manufacturing and remote medecine. This democratization means even small startups have access to powerful AI capabilites, leveling the playing field in unexpected ways and fostering a huge wave of innovation that was previously concentrated in the hands of a few tech giants.
It did a pretty good job with its (should be it's), adressing (should be addressing), medecine (medicine) and capabilites (should be capabilities)
I enjoy looking at my blogs analytics. It does make my day better knowing that people find my writing useful and read my posts. Do I need it? Probably not. But I don’t “need” a blog either. I just like it.
I've been using the Django ORM for years and it feels like an amazing piece of software.
But recently I started using sqlc. Which turns my queries into Go (simplification). I think this is actually the sweet spot between ORM and rawdogging SQL.
Not sure if this is a controversial opinion but if the wife decides to divorce the husband based on what ChatGPT says, perhaps the husband is better off.
Bingo! Having tons of `CustomEvents` with arbitrary handlers gets unwieldy. One way we "solved" this is by only allowing custom events in a `events.ts` file and document them pretty extensively.
PortfolioSlice. It’s a website where you can share your investment portfolio and its asset allocations. Then other people can just follow that with an easy to use cash divider.
It currently just has my portfolio that I use (Innovation and Global Growth) and some other generated ones. I wanted to try out SvelteKit and Svelte to replace my Google Sheet into something cooler. Not sure if I want to monetize this.
I've been doing React for about 10 years. Just started playing with Svelte 5 a few days ago.
It's so simple to work with. Built a simple stock allocation app and what surprised me most was the bundle size... 9kb (gzip). That's better than any other framework I am aware of. That's even smaller than htmx which is somewhat "anti-js"
With an LLM doing all the writing for you, you learn close to nothing.