ThouYS

5 ms·

31.
by ThouYS 3mo ago
I am still on a very old version of logseq. Why update?
32.
by ThouYS 3mo ago
Why did this get the coveted "5"? I want an Opus that can compete with GPT 5.5
33.
by ThouYS 3mo ago
why are people using these products exactly? signing away their rights to their photos? making psychopaths filthy rich? if the surveillance glasses are coming, these people will also have signed away the commons, which are not theirs to giv
34.
by ThouYS 4mo ago
This is the correct take
35.
by ThouYS 4mo ago
3.6 is an absolute beast! makes you wonder why the big heavy models are even needed?!
36.
by ThouYS 4mo ago
Qwen is all you need
37.
by ThouYS 4mo ago
ironically, coding is the area that small models excel most at. qwen 3.6 27b is an insane agentic model. but Opus can be much more than a programmer: language tutor, knowledgeable "friend", therapist
38.
by ThouYS 4mo ago
I feel like the car usecase demonstrates that these models are not really useful for the cutting edge: They produce exactly the kind of in-domain data that already exists in droves. What is needed, and what tesla collects, are the edge case
39.
Destroy My Paper(destroymypaper.com)
3 points by ThouYS 5mo ago|0 comments
40.
by ThouYS 5mo ago
Just to clarify: I mean VRAM, RAM and runtime performance, not the numerical outputs (even though those also vary to some degree, haha)
41.
by ThouYS 5mo ago
I feel like there is no portable advice for performance. A torch model exported as onnx is a different model. That onnx model run using onnxruntime with cuda ep is a different model than the one run with TRT ep. And even among the same runt
42.
by ThouYS 5mo ago
don't know about this guy, but qwen3.6:27b with the UD 4bit quant and little-coder/pi has been amazing. the first local LLM experience that can do actual meaningful work
43.
Little-coder: A coding agent optimized to smaller LLMs(github.com)
2 points by ThouYS 6mo ago|0 comments
44.
by ThouYS 7mo ago
Maybe most interesting about the piece is, that we'll likely see more large scale interviews like this (even if this one is a bit bland)
45.
by ThouYS 7mo ago
what!
46.
by ThouYS 7mo ago
very nice. has a claude touch to it
47.
by ThouYS 8mo ago
this is.. a nothing burger? they don't exclude working for autonomous weapons, nor do they exclude mass surveillance. so what gives?
48.
by ThouYS 8mo ago
the headlines these days
49.
by ThouYS 8mo ago
for me gpt-oss:20b was that. glm 4.7 flash was not better, but much slower on a 16GB card
50.
by ThouYS 8mo ago
wow, everything is exactly unfolding as some AI doomers have projected
51.
by ThouYS 8mo ago
Anki is and was truly a blessing. Not sure I would have gotten through my studies without it. Thank you dae!
52.
by ThouYS 9mo ago
it gives you flexibility, options
53.
by ThouYS 9mo ago
lost 4% battery while reading the blog post
54.
by ThouYS 9mo ago
I think systems like this will turn drones (or at least, drone swarms) into nothingburgers. We're just one layer deeper into rock paper scissors now
55.
by ThouYS 10mo ago
I got deep into the stormlight archive by brandon sanderson. great escapism!
56.
by ThouYS 10mo ago
it's quite the bummer. some models you simply can't export with dynamo. for the time being the jit exporter is the only good option. in particular selective function scripting is essential!
57.
by ThouYS 10mo ago
P is stored in the computer
58.
by ThouYS 10mo ago
what on earth is a DX?
59.
by ThouYS 10mo ago
the beauty of pure functions :)
60.
by ThouYS 10mo ago
100% my beef with it. same style as c++ where you never know where something comes from, when clangd starts throwing one of its fits

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