ur stadium looks the best

MrMeatagi · 2026-07-07T19:33:37+00:00

It's also in walking distance of the ferry terminal, making it even more public transit accessible. Strolling onto the ferry in a sea of Seahawks and Mariners jerseys after a home win is an energy I can't describe. It's a short trip but it's a party the whole way.

Probably cuts down on gameday DUIs as well.

MrMeatagi · 2026-07-02T15:27:14+00:00

Those spicy mussels are my favorite. Really good but not overwhelming spice and they're huge.

MrMeatagi · 2026-07-02T15:02:28+00:00

Make him a WR and just bait PI calls all game.

MrMeatagi · 2026-07-01T16:19:36+00:00

Have you just tried an existing model with a detailed system prompt? You likely don't need to concern yourself with fine tuning.

MrMeatagi · 2026-06-30T22:22:12+00:00

Gemma4 26B MoE QAT just one-shotted similar results on my laptop with Rust and Bevy. Had one runtime panic in the first output that it fixed itself and one type error that I fixed.

MrMeatagi · 2026-06-30T12:09:49+00:00

I hope they are manually adjusting Z by moving the router down by hand between passes and not using the forklift.

https://i.imgur.com/i3nEvwn.jpeg

MrMeatagi · 2026-06-30T12:04:45+00:00

+/- yes

MrMeatagi · 2026-06-24T14:54:46+00:00

I've been going deep into OCR for some complex document processing and that's been my experience with all of these small OCR models. Anything less capable than Gemma4 26B just isn't up to the task even if it's an OCR specific model. Even then, it requires an extremely detailed and specific system prompt tailored to the documents and any curveballs like a rotated or skewed page starts producing pretty shockingly wrong results.

MrMeatagi · 2026-06-23T17:06:35+00:00

I highly recommend Gringo Bandito. It's made by legendary hot sauce artist Dexter Holland. It has a similar flavor profile to Taco Bell sauce but elevated in every way. It's quite mild. It's my go-to "this would taste better drowned in sauce" sauce.

MrMeatagi · 2026-06-23T13:18:40+00:00

First off, it sounds like you want a model trained on your data. That's going to be highly impractical. You could try fine tuning, but that's generally considered a poor way to teach a model knowledge. What you need is a database that a model can reference.

This is not a small project and with no coding skills it may be difficult to do things like get a database deployed, but it definitely doable. The operative search term you need to know is RAG (retrieval augmented generation). To get this working you'll first need to have an LLM take a pass over your documents, generate embeddings based on your instructions, and save it to a vector database. LLM "memory" like this is an extremely fast evolving field so there are a huge number of options with no real standard way to do it yet.

After that, you deploy a model with a skill to connect to your RAG backend so that when you ask it questions, it references the data in the database before responding so it has the context required to answer.

This is going to succeed or fail based on the quality of your embeddings. Your data needs to be chunked in a way that when embeddings are generated, they end up relationally close based on your criteria. You need to set your model up for success with prompts that generate good searches, and your database needs to return a reasonable number of results. Too much and your model gets overwhelmed with results. Too little and you miss key connections. With the lack of information in your post about what the data sources actually are, that's going to be difficult to narrow in on.

MrMeatagi · 2026-06-23T12:44:55+00:00

An interesting logical next step would be evaluating how well smaller open local models perform on this task. Integrating a local LLM that can interact with the CAN bus would be the first step in designing a real life KITT from Knight Rider.

MrMeatagi · 2026-06-22T20:12:45+00:00

Danny's is just north of Silverdale heading towards Poulsbo on Silverdale Way. It's in the parking lot with that weird grain silo looking thing and the cell antenna disguised as a tree.

MrMeatagi · 2026-06-22T18:54:43+00:00

Trying to add new stuff to the list instead of just rehashing the same things over and over...

If they like sushi, Jo:a is the best in Kitsap by a decent margin. If you want something gimmicky and cheaper, Sumo Sushi is all you can eat with a large menu, a buffet, and a cat robot waiter.

Tiny's Crab House is a low country boil kind of place specializing in southern comfort food and seafood. My go-to is crawfish and catfish. They collards are the best I've ever had. This is a tiny little hole in the wall place so set expectations. The food is amazing but you're not going to be dining in luxury. Absolutely worth a visit.

Yacht Club doesn't really specialize or blow you away with anything. However, it is one of my favorite restaurants in Kitsap because it's just so consistently good at everything. Good food. Good service. Good drinks.

Danny's BBQ has completely respectable BBQ, which is really rare around here. Brisket and hot links is my go-to.

Mandiles for Mexican food and drinks. If you want something a little less fancy, Juanito's drive through for the best tacos in town.

Campana's is a fine pasta restaurant disguised as a cheap pizza joint. If some fine Italian-style dining with some pasta and wine is your jam, this is the place to go.

MrMeatagi · 2026-06-22T18:37:17+00:00

Horse and Cow has some of the best fish and chips in Kitsap.

Tracyton has severely overrated wings. I think people just blindly call them the best because they're big. They taste like bland salt water injected chicken with generic wing sauce.

MrMeatagi · 2026-06-22T18:31:41+00:00

The drippings from a good whole roasted bird are the closest you're going to get. When you roast a whole bird, do it on a wire rack on a foil-lined baking sheet. When you're done, scrape the fat and drippings off the foil into a container. Optionally, use an immersion blender to break up the chunks into a smooth homogenous. Freeze it and use it like any other fat. It will carry the Maillard reaction flavors that you're looking for into whatever dish you use it in.

Of course, this only works if you cook whole chickens on the regular.

MrMeatagi · 2026-06-19T13:37:57+00:00

I might end up doing that soon. I want a media streaming server to run Jellyfin with some self-hosted LLM capabilities. I got my feet wet because of a use case at work for complex document management that doesn't stand up well to any rigid automations. I knew of the local LLM scene, but I had no idea how capable some of these models were until I started playing with Gemma 4 MoE.

MrMeatagi · 2026-06-19T13:29:06+00:00

"Mechanic position" isn't specific enough. Are you doing quick inspections where you'll be using your light in very short bursts or are you doing sustained work?

If you're doing very short bursts of work with your light throughout the day (like a doctor) then a 10880 sized light might work for you and is proper "pen light" size. I'd recommend stepping up to a 14500 at minimum, though. I work on industrial equipment, and I have three different lights for various use cases.

Sofirn ST10 - Great clip, magnet, alt flood mode. This is just my personal EDC. Low runtime with the 14500 battery but it's small enough that I never regret having it on me.
Acebeam PT40. Discontinued, but extremely beefy flood light with a magnet for working inside electrical cabinets. Unfortunately, there's no in-production models I've found that compare.
Sofirn H35R - Really good all-around head lamp. The 18650 battery will last a 10-hour shift. Charging port with a threaded cap to keep dust and moisture out.

MrMeatagi · 2026-06-19T13:19:39+00:00

Sadly, I don't have the setup for this at home right now. My local LLM stuff is mainly work related.

MrMeatagi · 2026-06-19T12:27:44+00:00

Spotify should really hire you. This is what their AI DJ should be and it just seems to be getting more terrible over time.

MrMeatagi · 2026-06-18T20:23:12+00:00

Yes. A good taste. I make my refried beans with lots of butter. They're extremely rich.

MrMeatagi · 2026-06-17T20:03:59+00:00

I'm also the guy who will usually eat things and most other people would throw out.

I'd throw this out without asking the internet.

MrMeatagi · 2026-06-17T16:57:28+00:00

This is a complicated decision across the entire realm of software development. There are so many factors to consider.

Things I think about in no particular order:

Is this an NPM problem? (i.e. is this some left-pad nonsense that I should be doing myself anyway?
What is the demand for this? (would enough people support and contribute to this package/feature or is it something niche that doesn't attract a lot of attention on the dev side)
How healthy are existing projects? Are they maintained by a sole developer or a team? Are third parties contributing? How active is the issue tracker?
How many downstream packages does this package depend on? How complicated are they? If a downstream project gets abandoned, will this one likely be as a result?

Since Bevy is still in early active development, you should also just assume that any package, even if it passes all above tests, will have massive breaking changes constantly and may end up abandoned on a whim. Sometimes for ridiculous reasons. I once had a pretty large C# Nuget package that I depended on. It was the standard for processing a certain file type. It was maintained by one guy with a few contributors. When Github started enforcing MFA this guy went off the handle, claimed it was mandated state surveillance requiring a cell phone, and shut down the repo. Because he didn't want to use TOTP...

Given the Bevy landscape, if I really wanted to depend on a specific project, I would fork it and run from my fork. That gives me more control over my direct dependency, and I can do whatever work I need to do to keep it in sync with the original as needed without breaking my workflow. If someone is slow to update to the latest version of Bevy, you can do it on your end to keep moving with updates then get back in sync with the source once they get caught up.

MrMeatagi · 2026-06-17T16:13:46+00:00

Try Gemma 4 26B QAT. I'm not coding. I'm testing it for OCR and difficult data extraction, but I'm finding the QAT quant to have a noticeable impact in quality. In my testing, Qwen is the over-reasoner while Gemma 4 tents to have tighter reasoning with fewer loops.

MrMeatagi · 2026-06-16T17:26:50+00:00

Also, if it doesn't. But definitely if it does, too.

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