Svelte / Sveltekit helped programming "click" for me , and years later I'm doing work I love for people who appreciate it.
SK is my favorite starting point for almost everything I build.
340 karma · joined October 30, 2020
Svelte / Sveltekit helped programming "click" for me , and years later I'm doing work I love for people who appreciate it.
SK is my favorite starting point for almost everything I build.
I saw some call-to-arms post that got me excited for the free internet and set it up on my parents' residential service.
You can imagine the fallout. No permanent damage though.
The brain loves these kinds of shortcuts.
I don't need to think about the fine motor skills of hitting a baseball, it's just a motion now, and the game is still fun.
Maybe they want to see how much market they can grab with Sol?
This might help but there are already cheaper models with Sol's intelligence more or less, the most notable being Grok 4.6 at $6/m which makes it a tougher sell
If I can ruin the screen with my fingernail, I'm completely uninterested.
Sure horses are more efficient, but cars are faster and more convenient, and allow you to get a lot more done.
Also cars will get better in our lifetime, horses are horses.
I have a now 7(!) year old Tab S5e that I use to consume media, and it's 5.5mm thick, with 10 hours of battery, a 1600x2560 super AMOLED, and quad firing speakers.
Nothing on the market makes me feel I need an upgrade over what was a $400 mid range tablet, because I have an incredible media experience on all my streaming apps.
Great performance, quiet, efficient.
It would be tough to get a windows machine at that price that gets anywhere close on performance, especially if you consider the cost of electricity.
Great parent/grandparent machines, home servers.
I love it, but there's probably not a whole bunch of reason to run it on things in other form factors.
Anecdote:
I purchased an EV this year, my highest priority was range per dollar, and the vehicle I selected happened to be new because of current market conditions. (Equinox EV for under 25k otd after incentives)
GPT 5 (at least with cline) reads whatever you give it, then laser targets the required changes.
With High, as long as I actually provided enough relevant context it usually one shots the solution and sometimes even finds things I left out.
The only downside for me is it's extremely slow, but I still use it on anything nuanced.
The business software I have to work with from the 80s is a straight up nightmare. And I'd say most old software is in this camp.
Sideloading was the killer feature for me as well.
The big 3 - Opus 4.1 GPT5 High, Gemini 2.5 Pro
Are astonishing in their capabilities, it's just a matter of providing the right context and instructions.
Basically, "you're holding it wrong"
Reminiscent of the tylenol case study, handled a tough situation correctly and it's still on the shelf.
What initially drew me to SvelteKit was its simplicity. After setting up the project, I could work on one HTML/JS/CSS file at a time, leveraging the benefits of a modern framework without the accompanying complexity. This approach reminded me of the early days of web development, where dropping HTML files into an Apache server was all it took to get things running.
However, it's disheartening to see Svelte shifting away from that straightforward paradigm. From the outset, Rich Harris positioned Svelte's ease of use and simplicity as its key selling points. The current version of SvelteKit isn't bad per se, but I found myself preferring the earlier iterations. Back then, I didn't have to deal with constructs like `+page` for routing. I could place Svelte files wherever I wanted, and they would render seamlessly, all while enjoying the advantages of a modern framework.
This change adds layers of complexity that weren't necessary before, potentially moving away from what made Svelte appealing in the first place. I picked it up because I already knew what I needed to know.
Its ability to solve basic math problems with reasoning is pretty cool, but other models of that size (qwen 2.5, phi4) have been generally more useful to me.
These tiny models still strike me as toys, not a whole bunch of real-world utility.
It still seems to me that these models are 'dumb' and often don't understand what I'm asking, where claude's intuition is much stronger.
I feel r1 14b even feels weaker than qwen 2.5 14b
Primary use-case is web technology / coding. Maybe I'm prompting it incorrectly?