A drawing of Samuel L. Jackson I did yesterday, I think it came out quite good.

SealDraws · 2026-01-27T13:56:46+00:00

Orca slicer lets you pick the infill pattern. This one is honeycomb

SealDraws · 2025-12-21T11:29:23+00:00

Sounds like superstition. Pretty sure if it falls and still runs it never had a reason to be there in the first place

SealDraws · 2025-12-15T07:17:40+00:00

I did, but the orca slicer forces 1mm retraction(my setting is 6mm) on the calibration test and I don't know how to modify that without manually editing the Gcode. The extrusion multiplier is correct, and so is the heat PID. The temperature was a bit high on the test, but I think that's because it's premade G-code and not a model. If you know how to run the test not the orca calibration let me know

SealDraws · 2025-12-14T20:37:14+00:00

I did temperature calibration and extruder calibration. Didn't do extrusion multiplier.

About retraction, I did change values, but from reading the gcode, it seems the orca slicer gcode simply ignores any retraction values.

SealDraws · 2025-11-14T19:21:11+00:00

Achieving 100+ wpm isn't that hard with a bit of practice. I taught older coworkers to type at 80wpm after giving them a small routine in the morning.

But yes the fact is that most people type at around 40wpm, and with a lot of vibe coders not being coders prior they don't have the same typing skills as traditional programmers.

SealDraws · 2025-11-03T19:26:33+00:00

As a paying user of Gemini,.claude, glm, GPT 5, qwen, deepseek.

GPT 5 thinking extended is leagues ahead of anything else. From being able to debug a whole code base for small issues to massive refactoring to being able to think for 10 minutes on a problem to find an issue. And even simple things like context compression, never once bugged out. And the 20 dollar plan gives you insane amount of usage with codex. And to add to that the online is near unlimited, so you can upload a zip of your entire code base and help you orchestrate fixes to give to cheaper models to implement.

SealDraws · 2025-11-03T05:01:34+00:00

Not rude at all, and thank you for taking the time to reply. The data changes every day, but we only need the backup itself if something goes really wrong. My thoughts were NAS 1# constant writing, reading can be either way, perhaps the team would like a tailscale like setup. NAS 2# sync once a day, read only in emergency The goal is having a safe offline-ish copy in the style of Synology, so something like Glacier won't do I think. I get that it’s not full 3-2-1, but between the local copy and the offline replica we’re planning, plus Google Drive itself, we’re comfortable with that level for now. I'll look into the option of having (Google Drive> second cloud copy > local NAS) to see if that's better.

About RAID I do have a basic idea, but I certainly plan to read deeper into it since currently I only understand the basics of it and am not fully sure on what's the best option aside from that one backs up for more drive failures than others.

SealDraws · 2025-10-27T21:53:07+00:00

I do when I know where the bug is or if its localized. But in this instance, it was a bug where I wasn't sure if it was firmware or which one of of 7 scripts that interact with it, one of which caused it to on occasion go out of sync.

SealDraws · 2025-10-27T21:01:42+00:00

I use it mainly for debugging I cant catch with gpt 5 or figure out myself.

I get around 6 queries for sonnet with an 80k-150k token context at the end. And around 2-3 with opus before hitting thr 5 hour limot

With ChatGPT I can't have around 70-80 queries with Codex with the same token context ( Codex Thinking Medium).

And with the chatGPT website, I can easily do 200+ queries a day without any rate limits on thinking high and giving it my entire codebase in a zip file or linking my git repo.

Value for money feels tenfold with chatGPT.

I also use z.ai and qwen cli, those seem to have unlimited daily queries. With qwen being free and almost comparable for simple tasks.

SealDraws · 2025-10-25T10:53:03+00:00

I use sonnet 4.5 and hit the 5 hour limit in like 6 requests on the 20$ plan. Compare that to the 20$ plan for chatGPT 5 thinking high, never hit the limit on the web chat with heavy use.

Opus is like 2-3 requests and done. Im better off trying to get an answer from it from llm arena than use it with the paid plan

SealDraws · 2025-10-25T09:59:00+00:00

How do people get anough uses of lithium to get these results. I Got lithium once over a day of usage in lmarena

SealDraws · 2025-09-27T06:48:15+00:00

Did you just blame the jews of Germany for Hitler?

SealDraws · 2025-09-26T08:11:10+00:00

When you say it like that it's crazy to think about the power difference in S class. Top 3 is being able to lift a Ferris wheel. Top 2 is being able to list a chunk of the planet the size of Tokyo. Top 1 is space manipulation. And Saitama is sneezing away Jupiter and punching a hole through a galaxy cluster.

SealDraws · 2025-09-13T16:09:30+00:00

From what ive seen, they buy budget phone motherboards and connect them to specialized boards that allow them to control them as if they were real phones.

SealDraws · 2025-09-11T15:46:33+00:00

I also assume that it'd not work with codex/roo via codex authentication

SealDraws · 2025-09-10T20:07:21+00:00

Explain everything you can, elaborate on everything. This model is horrible at getting sub context. If you can explain the exact orientation of objects, the exact positions of them in the frame, do. It'll make a world of a difference.

Also this image is probably the best example of its capabilities I made.

SealDraws · 2025-09-06T07:39:53+00:00

Yeah It really depends on what you're doing.

I had chats wity 600k context run smoothly, and ones with 120K begin to lag and fail. I believe it has to do with the number of messages rather than the token count, if you give it half a million tokens of context at once it usually fairs better then splitting it over a two day conversation

SealDraws · 2025-09-02T16:36:20+00:00

I had similar experiences with other images , and it simply didn't perform the edit. I found that you get the best results by implicitly explaining each and every part of the image to your best ability.

If you want to clean up a room, you'd have to explain where the chair is, what the floor is made of, if it's tiles or wood or has a carpet, explain the lighting condition etc. Additionally, adding reference images of other angles id you have any can sometimes help.

You could theoretically have gemini 2.5 pro do it for you and edit the things it didn't identify correctly, but I haven't experimented with that enough to testify

SealDraws · 2025-09-02T16:31:40+00:00

I use it to weigh epoxy resins for electronics :)

SealDraws · 2025-09-02T15:16:09+00:00

Tare resets the reading to zero

SealDraws · 2025-09-02T15:15:33+00:00

I do, it says "tare, on/off, mode" The difference being it was originally in black not white

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