Recent submissions

Comment · 1 month ago
In my opinion going to the gym for one bench press is better than sitting at home watching tv.

Would love to hear your suggestions on how to stay in ”mental” shape in the AI age.

Comment · 1 month ago
I’ve learned for myself that I need to write code just to keep my brain in shape - same as going to the gym to be healthy.

Even though agents are building all of my code now, I’m starting every morning with a LeetCode problem. There is no practical use, but it make me feel good and sharp for the rest of the day.

For anyone coping with AI I suggest to give it a try, and stick to it for some time, just like with a gym.

Comment · 4 months ago
As someone who built a niche SaaS I can see both sides of this.

If you are looking to replicate the exact same feature set of an existing product - buying would almost always be a better choice.

But it's rare for avg customer needs to perfectly match product features. Most often they need 20-40% of the product + some custom, business specific logic that's missing and is later fixed with spreadsheets/integrations. In that case it depends on how mission critical this software is.

I'd say investing into the core software that runs your business might very well be worth the effort, even if it's 10x between build vs buy.

Comment · 6 months ago
Curious, how did you deal with inspections and building codes? Or is it in a county with no building codes?
Comment · 6 months ago
Finally, now I know I'm not the only one! These sharp edges constantly cut into my wrists to the point I was thinking of doing the same, or glueing some kind of kind soft padding to the edges. Great someone did it. I wonder how far can you cut them?
Comment · 7 months ago
Sadly, memory bandwidth is abysmal compared to Apple chips - 273 GB/s vs 614 GB/s on M5 Max for similar price. Even though fp4 compute is faster, it doesn't help for all the decode heavy agentic workflows.
Comment · 7 months ago
Reading this was a roller coaster for me.

Because of a bad habit reading comments before the link I knew it was AI. I read it regardless, and... I still enjoyed it!

I'm very much not a writer or a critic, so my definition of good writing is likely very low. Yet I can't shake off this weird feeling that I truly enjoyed the writing and felt the emotions, _while_ knowing it's LLM.

I'm guessing that human after touch is what made it pleasant to read. I'd love to see the commit history of the process. Fun times we live in!

Comment · 7 months ago
Just wanted to say that I've felt the same about the images. To me it's likely was the text that for some reason had AI-feel to it. Great story though, I was in awe learning it was AI generated.
Comment · 7 months ago
In basic scenarios agree it’s possible. I’ve similarly toyed with building a small language and LLM picks it up. But that’s an additional context and it’s never felt like it worked “out of the box” vs say Typescript. Just saying that it’s an adoption barrier established languages don’t have.
Comment · 7 months ago
Synthetic codebases are certainly an option, but if top models remain closed I don’t see them building datasets for every new language.
Comment · 7 months ago
That's cool! Do you have any info on how manufacturing is done in the US?
Comment · 7 months ago
It's a legitimate question to ask about any new language post AI - given there is no training dataset, any other language would work better with AI.

The bigger problem is maintainability over the long term, Deno is built by Node.js creator and is maintained for half a decade now, that's hard to compete with. In a way it's much more about social trust rather than particular syntax.

Comment · 8 months ago
Great summary of the current state of AI coding, without all the hype.

I wonder though if we are fundamentally limited by LLMs architecture to come up with some novel architecture. Or is it just a limitation of current prompting and tools?

E.g. could your brute force the problem by asking "come up with 100 innovative, not yet tried ideas in compiler architecture" and run 100s of this experiments.

I feel like the answer to that is basically that "spark" that we have as human intelligence, but also... sometimes you get it by trying and failing many many times.

Comment · 8 months ago
I'm testing ground heat rejection system that dumps heat into the ground. It needs a lot of space, but you need it for panels anyways.

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