nsingh2

10 ms·

121.
by nsingh2 2y ago
I like the artifact UI, not having big outputs like that inline with the dialog really helps with readability.
122.
by nsingh2 2y ago
Related to this, I wish the Claude interface had built-in math rendering like ChatGPT. Claude's ascii math output can be a bit hard to parse.
123.
by nsingh2 2y ago
BTW I can't access the linked chats, not sure if it's just me.
124.
by nsingh2 2y ago
GPT4(o) is quite good at advanced math, it's been helpful when I was learning differential geometry. Not sure how Claude compares though, this 3.5 release has tempted me to try it out. Also, it's finally available in Canada!
125.
by nsingh2 2y ago
Depends on what you mean by novel. When a photographer takes a photo of a new species, are they really creating a new thing? Or just capturing the novelty that nature created? And the form of the species itself is subject to physical and ev
126.
by nsingh2 2y ago
It's hard to infer relative performance based on parameter count alone. SD3 and SDXL are quite different architecturally. The only way to really tell is to compare it with examples. Even this lobotomized 2B model seems to perform bette
127.
by nsingh2 2y ago
I wonder if they'll make another release like this. They really seemed to struggle to get SD3 out.
128.
by nsingh2 2y ago
Text looks great, prompt adherence too, though humans are sometimes horrifically mangled. I don't think this is the same model that the API is using. The stable diffusion subreddit is throwing a hissy fit over censorship, but that is p
129.
by nsingh2 2y ago
I've been following this post for a while. Most of the flagged comments were inflammatory or in some instances even celebrating.
130.
by nsingh2 2y ago
My comment was more of a response to > We may as well do it the way LLMs do We almost certainly don't learn the way LLMs do, it's just too data inefficient. And I don't see what current LLMs can say about a universal gramm
131.
by nsingh2 2y ago
LLMs are universal approximators and can pick up patterns in sequences that are very different from Human languages. Sure, they don't have many inductive biases and can understand language, but as a consequence require a tremendous amo
132.
by nsingh2 2y ago
The last time I looked at Mojo it required a sign up to install, that killed my interest pretty fast. Though now it looks like you can just install it?
133.
by nsingh2 2y ago
Nvidia provides a toolkit to do this [1], getting a GPU into a container is as easy as running `podman run --device nvidia.com/gpu=all`. The process is similar for Docker, but rootless Docker requires some extra steps IIRC. [1] https:
134.
by nsingh2 2y ago
Not as secure as VMs but GPU passthrough with Docker/Podman is much easier to set up, and you can even use the GPU on the host machine at the same time.
135.
by nsingh2 2y ago
Not surprised at all, ComfyUI extensions are just arbitrary python code. The first time I tried ComfyUI extensions I put it in a podman container with GPU passthrough and blocked network access.
136.
by nsingh2 2y ago
I have a rudimentary understanding of differential geometry, but aren't tensors a bit more special than nd-arrays? I recall a tensor being an object that changes under coordinate transforms according to the jacobian of the transformati
137.
by nsingh2 2y ago
Yea this was strange, I've only ever seen swaps when my main memory was near being full. Maybe they're storing all embeddings in memory?