HackerLangs
トップ新着トレンドコメント過去質問紹介求人

yathern

no profile record

投稿

Show HN: MiniPCs.zip – Charting the Pareto frontier of Mini PCs

minipcs.zip
115 ポイント·投稿者 yathern·20 日前·46 コメント

The Pareto Frontier of Mini PCs

luke.zip
3 ポイント·投稿者 yathern·20 日前·0 コメント

Making of Words.zip (Infinite Word Search)

luke.zip
4 ポイント·投稿者 yathern·3 か月前·0 コメント

Show HN: Words.zip (300k words found on an infinite grid)

words.zip
3 ポイント·投稿者 yathern·5 か月前·0 コメント

In Defense of the .zip TLD

luke.zip
6 ポイント·投稿者 yathern·6 か月前·5 コメント

Give the Internet an Infinite Word Search and the Internet Will Draw Dicks on It

gizmodo.com
2 ポイント·投稿者 yathern·6 か月前·0 コメント

Show HN: words.zip – Massively infinite word search

words.zip
11 ポイント·投稿者 yathern·6 か月前·5 コメント

Show HN: Words.zip – multiplayer infinite word search

words.zip
4 ポイント·投稿者 yathern·6 か月前·0 コメント

Show HN: Words.zip (Infinite Word Search)

words.zip
6 ポイント·投稿者 yathern·6 か月前·3 コメント

Pebble Index 01

repebble.com
10 ポイント·投稿者 yathern·7 か月前·4 コメント

コメント

yathern
·15 日前·議論
Ahhhhh I'm guessing that's a Device Pixel Ratio issue I completely forgot to consider (EG rendering 4x pixels than it should makes it slow, and the nodes smaller). I'll play around with it, thanks for the heads up
yathern
·15 日前·議論
Thanks for the feedback - horrible how? It works fine on my Android but someone else said similar that uses iPhone, just not sure exactly what the issues was
yathern
·15 日前·議論
I intentionally have them excluded - I guess because my use case is mostly gaming, homelab, plex server type stuff. But people use them for OpenClaw and whatnot right? I'll add em back in
yathern
·16 日前·議論
I've always worried about latency for that - but it's ironic since I regularly stream over dedicated WiFi to my Quest VR headset. I'll have to give it a try some time. If they have some asynchronous reprojection tech for streaming that would be ideal
yathern
·17 日前·議論
I have a desktop with a relatively powerful 5070 (I think) GPU for playing VR games. But my priorities for couch & controller games is not really around super high graphics performance.

Lately I find myself playing classic games on emulator, or generally games without huge graphics demands (been playing that climbing game PEAK a lot lately).

For me, getting a random no-name-brand Mini PC is such a fantastic deal these days. Throw bazzite or now real Steam OS on it, have access to your whole library - it's a linux machine you can configure to your hearts content. I love it. Probably the best deal on amazon right now is this machine, though there's others if you know how to search.

https://www.amazon.com/dp/B0DK34WJ84

Example of real-life gaming performance here - nothing mindblowing, but more than you'd expect from a tiny box that costs like $400.

https://www.youtube.com/watch?v=wlup85AxRd0

Just wipe windows immediately and put SteamOS on it and you're good to go
yathern
·17 日前·議論
Exactly - I just built myself a knockoff Steam Machine by putting Steam OS (might switch to Bazzite but so far real Steam OS is fine) on a $300 Mini PC and I'm super pleased with it. 16GB of RAM and a Ryzen 7640HS runs all of my library just fine, though to be fair, I'm not much of a AAA super modern high-graphics gamer. Doing a lot of emulation these days.
yathern
·19 日前·議論
https://luke.zip/posts/zip-defense/

I get asked this a lot, so here's my defense!
yathern
·19 日前·議論
Fixed!
yathern
·19 日前·議論
Oh good point - I was thinking more like "how hot is this deal" (and thus red == best) as opposed to just "good or bad".

Now when clicking on the 'dealscope' button there's a little modal which tries to clear it up a bit.
yathern
·19 日前·議論
Oh for sure - your feedback is totally helpful, I agree the colors are not obvious (especially red being good), perhaps my tone sounded dismissive but that was not the intention at all - symtom of a quick response from my phone! I'll definitely work on improving the readability of the colors and what it means (tricky to find the balance between nerdily over explaining how it works)
yathern
·19 日前·議論
For sure - prices are bizarre right now - though if you sort by memory, there's some holdout units that have like 32GB of memory for $250 (though other poor stats)
yathern
·19 日前·議論
Colors are distance to the pareto frontier for the given setting for "dealscope"! Easily noticed when axis and color are set to the same dimension (EG CPU) - but setting to different things allows you to visualize two dimensions (three, with price) without needing a 3D chart. I found it really useful to find outliers, but I realize it's a bit nonstandard!

Oh - and colors are grey-blue to red, with red being pareto optimal
yathern
·3 か月前·議論
I made monkeys.zip - a project that was completely useless and reflects my interests and skills, and people have reached out with creative projects since
yathern
·3 か月前·議論
Not a bad idea - one issue would be when the circle approaches a 'narrow' section that widens out again. If too big to fit into the gap, the circle method would simply not count any of this as land. I think it would be unreliable compared to moving along the coastline in fixed increments (IE one-mile increments or one-foot increments, depending on your goal)
yathern
·3 か月前·議論
> Another mistake is completely ignoring the ball and staring into the distance. I'm not entirely sure why, but I've seen it a bunch more with *rats* than anywhere else. In any case, I would recommend you just casually glance up at the ball as it reaches the top of its arc

Is 'rats' a juggling jargon I'm unfamiliar with? Or do rats stare into the distance often?
yathern
·3 か月前·議論
I used PGLite for a project (monkeys.zip) and it was absolutely fantastic! Loved how speedily I could have a "real" postgres instance without spinning up docker. Worked really really well with pnpm workspaces and a monorepo setup (EG pnpm run will run the DB package, as well as frontend and backend).

The only downside (and this applies for SQLite as well) is that it runs too well that you can get some bad habits - or at least follow patterns that don't support horizontal scaling which you would want to do in production. A number of problems across different projects have bit me because I relied too long on SQLite (or PGLite) when moving from local dev to setting up cloud infra. This includes things like connection pooling, read replicas, consistency issues with sharding. Maybe all those people who productionize *Lite have a point!
yathern
·5 か月前·議論
Hmmm I think you're sort of right but not entirely. It's true that a novel consists of a valid organization of tokens, and that this sequence can be feasibly made to be output from a model. But when you say this:

> So there should be a prompt that can cause that sequence to be output

Is where I think I might disagree. For example, the odds of predicting verbatim the next sentence in, say, Harry Potter should be astronomically low for a large majority of it. If it wasn't, it'd be a pretty boring book. The fact that it can do this with relative ease means it has been trained on the material.

The issue at hand is about copyright and Intellectual Property - if the goal of copyright is to protect the IP of the author, then LLMs can sort of act like an IP money laundering scheme - where the black box has consumed and can emit this IP. The whole concept of IP is a little philosophical and muddy, with lots of grey area for fair use, parody, inspiration, and adaptation. But this gets very odd when we consider it in light of these models which can adapt and use IP at a massive massive scale.
yathern
·5 か月前·議論
> Unless your strategy is to create a photo-lab-like screen in pure black and red, or wear deep-red-tinted glasses, it’s unlikely that a pure colorshift strategy will cut out that big of a chunk of the spectrum.

I absolutely think this is the right approach. The glasses which do 'blue light filtering' which barely change your perception are clearly placebo, but a very strong redshift I think is obviously a different creature.
yathern
·5 か月前·議論
Thank you! Definitely an inspiration, sort of like a human proof-of-work canvas
yathern
·5 か月前·議論
Yup! A fairly simple deterministic RNG such that it can be generated both client and server side. This strategy greatly reduces the burden of transmitting all the letters as you scroll around, only needing the subset of found words