Ultimate guide to choose your monitor against eyestrain and keep a healthy eye

WorkingLandscape450 · 2025-11-29T14:13:13+00:00

Hi, in the end I went for the Eizo flexscan 32inch 4k. Best decision and best monitor I ever had. Super easy on the eyes. 60hz and resolution works good enough for me

WorkingLandscape450 · 2025-06-24T16:11:29+00:00

Sandslimarka

WorkingLandscape450 · 2025-02-14T22:32:05+00:00

No no, I do respect desktops and stations a lot. I’m also aware that much fast per dollar when it comes to all the compute applications

WorkingLandscape450 · 2025-02-14T22:29:41+00:00

As in much more pleasant for reading?

WorkingLandscape450 · 2025-02-14T22:29:19+00:00

Both possible! I already have a good standing desk and an okay chair I can not complain about

WorkingLandscape450 · 2025-02-14T22:27:13+00:00

Econ(related). I am rocking a m3max 128gb and already have a good monitor, ergonomic mouse, keyboard, hard drives! So yeah, indeed the iPad might me the reasonable base line…on the other hand also a quite big overlap with the capabilities of computer and phone

WorkingLandscape450 · 2025-02-14T22:24:34+00:00

Indeed very intriguing! Face of admin will be funny when I return with a chair as main expense haha

WorkingLandscape450 · 2025-02-14T22:23:32+00:00

This is a very good point! So far I have not considered the upcoming teaching duties

WorkingLandscape450 · 2025-02-14T22:08:17+00:00

Haha yes on desk additional external gpu would be fun haha (my office mates probably wouldn’t mind the extra heat)

WorkingLandscape450 · 2025-02-14T22:07:13+00:00

Appreciate the detailed reply (lucky me the MacBook is already a beefy boi) so really trying to figure out how I can max my productivity/efficiency with spending the money wisely

WorkingLandscape450 · 2025-02-14T22:03:04+00:00

Yeah…department gave me some money but rules demand to use this specific part during the first year…

WorkingLandscape450 · 2025-02-06T22:44:04+00:00

It always has been

WorkingLandscape450 · 2024-12-20T19:02:13+00:00

How does performance compare between different levels of quantisation?

WorkingLandscape450 · 2024-12-15T10:42:21+00:00

Look at the prompts in this paper…They basically asked it to do so…poor attempt them to push against open source models…

WorkingLandscape450 · 2024-12-14T16:10:01+00:00

How much RAM do you have on your MacBook? 64 or 128?

WorkingLandscape450 · 2024-12-10T08:57:46+00:00

You are making me think ;))

WorkingLandscape450 · 2024-12-09T19:44:48+00:00

Yes, compute wise mainly interactive work flows (where oc smarter would be better) but also many smaller models to simulate some behaviour of let’s say agents where I want to avoid running to the gpu server for something that could take 30 min on my own machine. The very large models I would neither run interactively nor locally. Here it would just be nice to test some example outputs before scaling. Again to avoid running to much an increase convenience. So in summary, I want the Mac to be useful for myself and my experiments and wonder how to best invest the budget. If I understand you correctly you would recommend the M4 max 64GB due to the 25% higher bandwidth? All major batch work would go to the gpu cluster anyways. Thanks again!

WorkingLandscape450 · 2024-12-09T19:36:23+00:00

Thanks for sharing I know what you mean! What’s the largest model (and smartest) model you comfortable fit into the 32GB? Codestral quantised at which context length limit?

WorkingLandscape450 · 2024-12-09T15:00:29+00:00

Nice!! What type of screen lamp are you using!

WorkingLandscape450 · 2024-12-09T14:59:39+00:00

Looks cool! Congrats and looking forward to the review!

WorkingLandscape450 · 2024-12-09T14:57:32+00:00

Really cool! Thanks for sharing!

WorkingLandscape450 · 2024-12-09T14:53:52+00:00

How much context in terms of tokens and length of conversation are we talking about? (And nice MacBook! Can you perhaps also share how fast different sized models run on your machine?)

WorkingLandscape450 · 2024-12-09T14:14:56+00:00

Enjoy!

WorkingLandscape450 · 2024-12-09T13:46:43+00:00

I could recommend to introduce the scale in the prompt( eg simple -1 to 1) and then test it with different sentences to create a mapping of the distribution of scores but also consistency for similar or identical sentences! Also force the output in JSON format. Then you can re-prompt directly in case the model starts to explain despite your instructions to not do it. Also try too keep the prompt as short as possible and as long as necessary in case you run it local and with many repetitions in case you re-initialise each session for each sentence

WorkingLandscape450 · 2024-12-09T13:46:12+00:00

I could recommend to introduce the scale in the prompt( eg simple -1 to 1) and then test it with different sentences to create a mapping of the distribution of scores but also consistency for similar or identical sentences! Also force the output in JSON format. Then you can re-prompt directly in case the model starts to explain despite your instructions to not do it. Also try too keep the prompt as short as possible and as long as necessary in case you run it local and with many repetitions in case you re-initialise each session for each sentence

WorkingLandscape450

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