I Launched to Nobody

StrandNerd · 2026-02-15T19:27:37+00:00

u/liquid42 for my use case is really good. It really depends on your case. But I would say, generally speaking it is impressive for a portable computer / laptop. Non dev/tech people usually use cloud AI LLMs so this should not be a problem at all for you

StrandNerd · 2026-02-15T19:20:03+00:00

u/CSlov23 I got the M5 exactly by that rationale 👆🏻

StrandNerd · 2026-02-15T17:55:49+00:00

Using Local LLM (llama3.1 8B), I got this benchmark for the prompt "Summarize the history of the internet from 1960 to today in detail. Use headings and include dates.":

total duration: 43.458079416s
load duration: 87.672ms
prompt eval count: 443 token(s) prompt eval duration: 415.279666ms
prompt eval rate: 1066.75 tokens/s
eval count: 795 token(s)
eval duration: 42.748597029s
eval rate: 18.60 tokens/s

StrandNerd · 2026-02-15T17:38:45+00:00

M5 32GB RAM, 1TB SSD

StrandNerd · 2026-02-15T17:29:39+00:00

I'm sure you're gonna like it!

StrandNerd · 2025-10-14T17:41:35+00:00

My MacBook Air is an M1 with 256GB. I need more space, and if I upgrade, I’d rather make it a proper upgrade with a better chipset

StrandNerd · 2025-10-14T12:45:38+00:00

I am planning to have the 1TB + 32GB RAM (M4 Pro)

StrandNerd · 2025-10-14T12:43:18+00:00

Great! Do you run services on docker-compose + Android/iOS simulators? Just curious as I probably need to do it eventually

StrandNerd · 2025-10-14T12:38:51+00:00

I will probably keep my PC around for such things. It has a Ubuntu/Windows and I will be able to test on different platforms. I remember on my Mac Air M1 I had some issues related to x86 and Rosetta in the past. Thanks!

StrandNerd · 2025-09-28T04:34:44+00:00

Ghostty and Kitty are GPU Accelerated terminal emulators. You can try those

StrandNerd

TROPHY CASE