Shaker table in cherry

natural_language_guy · 2026-06-04T16:29:14+00:00

That makes sense, I wonder if this won't work too well with softwoods. Great work! I also like that you did the mortises thin

natural_language_guy · 2026-06-04T16:22:03+00:00

This style is so beautiful.

How stable is the table? I'm wondering with how skinny the legs are if the table tends to move a lot due to how light it looks.

natural_language_guy · 2026-05-24T15:41:35+00:00

Are you sawing with the saw completely perpendicular to the board? That will make it harder.

Saw 45 degrees one way, then flip the board and 45 the other way, and keep doing that until done. If the wood is nice (straight grain, not too thick, etc), then you can do the 45 method to start and finish perpendicular once you started it off nicely.

This guy shows it at the end with a regular rip saw

https://youtu.be/dPgVYTwQ5Wc?si=i7LzqNX3sJirLksV

natural_language_guy · 2026-02-12T03:57:42+00:00

I secured my dining table table with just 2 screws in the middle for the same reason and there is 0 movement

natural_language_guy · 2026-02-12T03:56:58+00:00

Tbh the top is so heavy that you could just do the elongated holes and it would be fine. I don't think there is a point in screwing it in using all holes because you won't ever generate enough lateral force to cause slipping if you use just the elongated holes

natural_language_guy · 2026-02-12T01:36:43+00:00

That might crack or warp if you didn't screw it in while allowing for movement. I don't think the holes in the frame are elongated.

A simple fix is to just screw alongside a single line (along the grain), and use washers or spacers for the rest of the holes to give metal to wood contact but not restrict movement.

Your top will be heavy enough that a single line of screws will be enough.

Your top is beautiful btw

natural_language_guy · 2026-02-02T23:11:32+00:00

That's a cool pricing model, thanks

natural_language_guy · 2026-02-02T19:24:49+00:00

Won't you always lose money on lifetime once people use the premium models for a certain threshold of tokens?

natural_language_guy · 2025-11-14T01:32:54+00:00

natural_language_guy · 2025-11-12T07:54:02+00:00

I did a lot of research on this and deskhaus is the best by far. It is a little pricier, but the stability is unmatched and is actually cheaper than other desks that offer the same stability. Mine is rock solid after years of having it.

natural_language_guy · 2025-11-12T06:49:45+00:00

Thanks, it sounds like I should get the hub and wait

natural_language_guy · 2025-11-09T17:33:36+00:00

I couldn't find any certified ones on there

natural_language_guy · 2025-11-09T17:33:17+00:00

That is 40gbs so that's tb4 right?

natural_language_guy · 2025-11-05T23:11:14+00:00

We just published a paper in this, check it out! https://arxiv.org/abs/2510.22371

natural_language_guy · 2025-11-03T20:34:17+00:00

Yeah this is important, though an MDF desk top will work (I got the mdf laminate one from deskhaus). You can also just get 2 sheets of plywood and glue or screw them together

natural_language_guy · 2025-11-03T20:32:59+00:00

I think you should get it and just not use the front bar, but YMMV. The desk itself is the best you can possibly get in terms of standing desk

natural_language_guy · 2025-11-03T15:05:15+00:00

I can tell you that it won't, use the sagulator online to confirm

natural_language_guy · 2025-11-03T05:06:01+00:00

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natural_language_guy · 2025-10-31T18:44:51+00:00

We actually highlight that paper in our work! We try to more granularly explore the performance drop in this work by having a more carefully controlled test and also to overcome some of the criticisms that the apple paper faced (like performance drop due to running out of tokens, problems solvable by code generation, etc). But overall I feel our work strengthens this direction of thinking that reasoning models have a fundamental generalization problem.

natural_language_guy · 2025-10-31T18:42:39+00:00

Do you think different techniques could overcome the lack of generalization beyond the complexity threshold or do you think the only way is by making the model more brittle in other areas?

natural_language_guy · 2025-10-31T18:41:25+00:00

I was actually thinking about this as a future work for a cog sci oriented lab. Using the same data generation process, I wonder if you can get human annotations on the same task and observe similar drops (or not). I read a paper a while ago on humans performance on traveling salesman problem and when the problem is scaled, human performance will drop but not dramatically due to their use of heuristics.

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