HN user

mkaic

4,126 karma

machine learning engineer

blog: https://mkaic.blog

youtube: https://youtube.com/@EmkaiSea

bsky: https://bsky.app/profile/mkaic.blog

tiktok: https://tiktok.com/@mkaic

github: https://github.com/mkaic

twitter: https://twitter.com/EmkaiSea

email: poppers-osmotic0t <at> icloud <dot> com

Posts80
Comments644
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mojito.wells.ee 1mo ago

Mojito – Autocomplete :emoji: everywhere

mkaic
7pts0
www.youtube.com 11mo ago

Tape Speed Keyboard [video]

mkaic
1pts0
news.ycombinator.com 1y ago

How do you print a 3D photo? Gaussian Splats in resin [video]

mkaic
1pts3
www.youtube.com 1y ago

A Mind Is Born (256 Bytes) (2017) [video]

mkaic
1pts0
arxiv.org 1y ago

The Curse of Depth in Large Language Models [pdf]

mkaic
2pts0
news.ycombinator.com 1y ago

Ask HN: What "fundamental" research efforts are you excited about?

mkaic
2pts2
htmx.org 1y ago

Prefer If Statements to Polymorphism

mkaic
3pts1
kagi.com 1y ago

Enhanced Image Search and Open Sourcing FastFeedParser

mkaic
5pts0
archives.argmin.net 1y ago

The Best Things in Life Are Model-Free (2018)

mkaic
2pts0
aras-p.info 1y ago

Vector math library codegen in Debug

mkaic
2pts0
en.wikipedia.org 1y ago

Goldbach's Conjecture

mkaic
6pts0
nvlm-project.github.io 1y ago

NVLM: Open Frontier-Class Multimodal LLMs from Nvidia

mkaic
4pts0
github.com 1y ago

TagStudio: A User-Focused Document Management System

mkaic
20pts0
www.youtube.com 1y ago

I Open-Sourced TagStudio [video]

mkaic
1pts0
arxiv.org 1y ago

JPEG-LM: LLMs as Image Generators with Canonical Codec Representations

mkaic
1pts0
lambdalabs.com 1y ago

Hermes 3: The First Fine-Tuned Llama 3.1 405B Model

mkaic
146pts67
arxiv.org 1y ago

Imagen 3 [pdf]

mkaic
3pts0
davidbau.com 1y ago

Complex Function Viewer

mkaic
1pts0
www.youtube.com 1y ago

Then Next Comes [video]

mkaic
1pts0
research.google 1y ago

Halva: Hallucination Attenuated Language and Vision Assistant

mkaic
2pts0
buaacyw.github.io 1y ago

MeshAnything V2: Artist-Created Mesh Generation with Adjacent Mesh Tokenization

mkaic
3pts0
www.youtube.com 2y ago

Gaussian Primes Visually [video]

mkaic
1pts0
arxiv.org 2y ago

FNet: Mixing Tokens with Fourier Transforms (2021)

mkaic
4pts0
map-neo.github.io 2y ago

Map-Neo: Capable and Transparent Open LLM Series

mkaic
1pts0
deepmind.google 2y ago

Imagen 3

mkaic
13pts1
www.youtube.com 2y ago

Growing Meat In Gatorade [video]

mkaic
2pts0
www.goody2.ai 2y ago

Goody-2, an LLM which refuses all interactions on ethical grounds

mkaic
13pts1
lfranke.github.io 2y ago

Trilinear point splatting for real-time radiance field rendering

mkaic
167pts36
blog.nebula.tv 2y ago

Nebula's 2023 Year-End Review

mkaic
3pts0
www.youtube.com 2y ago

Loading a Game from a Screenshot [video]

mkaic
1pts0

Just cancelled mine after reading this comment, I only really cared about the bigger file uploads and the HD screen-sharing anyways and I can live without those.

Now that I think of it, I bet I could host a decent instance of some open-source alternative in a public cloud for around the same cost as what I paid for Nitro ($100 a year)...

Mistral OCR 3 7 months ago

I suppose both of us watched the same Youtube video by Metta Beshay (i think that is his name?)

Heavy and chronic usage of cannabis is associated with some of these things. I think "plenty of evidence that marijuana can cause {effects}" is somewhat overstating the consensus on the topic.

Like many things in life, cannabis can be enjoyed responsibly or irresponsibly. Irresponsible use is inadvisable and can absolutely ruin your life and the lives of others around you. I see no issue with responsible use, though. All things in moderation. Alcohol, social media, and caffeine all come to mind as examples of other drugs that can be largely safe and enjoyable if used responsibly, but which become dangerous/harmful when moderation is abandoned.

Signed,

a responsible/occasional cannabis user :)

"It's... a regional dialect."

"What region?"

"Er, upstate New York."

"Really. Well, I'm from Utica and I've never heard anyone use the phrase '100M' to mean '100 thousand'"

"Oh, no, not in Utica. It's an Albany expression."

Blender 5.0 8 months ago

I think some of the coolest changes in this release are on the nodes side of things — they added Closures (kinda like lambdas!), Bundles (tuples/structs, I guess?), and Repeat (loops!) (already was in Geo Nodes, now it's in Shader Nodes too).

Blender nodes have come a long way over the past decade and it's incredibly satisfying to see the care with which they have been developed. Blender's node editor is my personal favorite node editor I've ever used in any software, and I often find myself wishing other software adopted some of their UI and UX conventions.

Been a happy user since, oh, v2.75? And looking forward to being a user for many more releases to come.

Donate to Blender! [0]

[0] https://fund.blender.org

Location: Boulder, Colorado

Remote: Open to Remote, Hybrid, or In-Person

Willing to relocate: Only for an exceptional offer.

Technologies: AI / Machine Learning, Docker, Python, PyTorch, Numpy, Pandas, Linux, TrueNAS, Pandas, SQL, Blender, Git / Github

Résumé/CV: https://docs.google.com/document/d/1io7PASX56d7eJTCXQnPxjqy3...

Email: matthew.kai.christensen (at) gmail.com

Hello, my name is Kai and I'm a machine learning researcher with an interest in computer vision and novel neural network architecture design. I have 4 years of experience working on computer vision models for medical imagery, including publishing an echocardiography-focused finetune of CLIP in Nature Medicine last year. I'm self taught and enjoy work where I can be creative and learn new skills. I would love to be a part of the team that invents the Transformer-killer. I'm also open to more data-sciencey jobs if the work is interesting.

I also have 3D modeling, filmmaking/editing, and music-making skills and experience if they're relevant. I've been making movies and doing VFX ever since I was little.

My favorite way to generate random points on a n-dimensional sphere is to just sample n times from a Gaussian distribution to get a n-dimensional vector, and then normalizing that vector to the radius of the desired sphere.

Have you kept up with recent ML papers like MindEye, which have managed to reconstruct seen images using image generator models conditioned on fMRI signals?

Ever since that paper came out, I (someone who works in ML but have no neuroimaging expertise) have been really excited for the future of noninvasive BCU.

Would also be curious to know if you have any thoughts on the several start-ups working in parallel on optimally pumped magnetometers for portable MEG helmets.

I feel a bit shaken after reading this comment, to be honest. I don't think I've ever heard someone so perfectly describe such a major component of my life experience. It's like you read my mind.

I was a "gifted kid", now I'm a lonely adult living by herself constantly cycling between complacency, failure, panic, and productivity. Diagnosed ADHD, choose to stay unmedicated, sometimes the best employee in my office, usually one of the laziest and most disappointing employees in my office. Constantly daydreaming about how better circumstances would change things for the better even while knowing deep down I'd cause the exact same set of problems for myself all over again even if I got my Dream Job.

Spent my whole life being told I was exceptional, and, to be fair, I lived up to it as a kid. These days I'm so terrified of regressing to being "normal" that I sabotage myself at every turn.

Thank you for leaving this comment. I may bring up the concept with my therapist and see what she thinks of it.

I think in casual speech at this point (at least in my experience) the two are used interchangeably. In professional or legal settings I'm sure the distinction matters more, but I feel like OP's usage here felt pretty natural to me even though it's not technically correct.

If they can manage to make good on their plans to open-source it, I'll breathe a tentative sigh of relief. I'm also rooting for them, but until they're open-source, I'm not willing to invest my own time into their ecosystem.

I love the look and feel of Nim, but found it to be stuck in a weird chicken-and-egg situation where it didn't have enough of a following to have a Convenient Package For Everything, ultimately turning me off it. Of course I recognize that the only way a language gets a Convenient Package For Everything is if it gets popular, but still...

Damn, this is a strikingly simple modification. Basically, modern deep learning optimizers typically calculate the update to the weights each step using some kind of momentum and/or LR scaling based on the running variance of the gradients. This means that, in theory, the actual "instantaneous" gradients from a particular backward pass might point in a different direction than the actual update the optimizer applies. The change the authors propose is to simply ignore any parameter updates proposed by the optimizer that have the opposite sign of the current gradient from the most recent backwards pass. They're essentially saying "only apply the long-term stabilized update where it agrees with the current 'instantaneous' gradient." They show that this simple change significantly speeds up model training.

I'm pretty intrigued by this, but will, as usual, wait for independent replications to come out before I fully believe it. That said, because of how simple this is, I'd expect such replications to happen within 24 hours. Exciting work!

GPT-4.5 1 year ago

In a hilarious act of accidental satire, it seems that the AI-generated audio version of the post has a weird glitch/mispronunciation within the first three words — it struggles to say "GPT-4.5".

As a queer person who hasn't used Grindr but has heard about it from others, my understanding is that it has a reputation for being more for hookups than actual dating. Heard a story about a gay male friend-of-a-friend setting up an account on it and getting 4 unsolicited dick pics within a very short period of time.

Obviously this is just secondhand anecdotal evidence—I'm sure someone who has personally used the app could chime in and correct me if I am wrong.

This reminds me of the antics of streamer DougDoug, who often uses LLM APIs to live-summarize, analyze, or interact with his (often multi-thousand-strong) Twitch chat. Most recently I saw him do a GeoGuessr stream where he had ChatGPT assume the role of a detective who must comb through the thousands of chat messages for clues about where the chat thinks the location is, then synthesizes the clamor into a final guess. Aside from constantly being trolled by people spamming nothing but "Kyoto, Japan" in chat, it occasionaly demonstrated a pretty effective incarnation of "the wisdom of the crowd" and was strikingly accurate at times.

I seem to be going in the opposite order lol—I've been getting my facial hair removed for almost a year now, but am only barely starting to become comfortable with the idea of actually transitioning. And if I did transition, I think I'd likely only come out socially to a very small group of people until I'd also transitioned hormonally! Perhaps my priorities are all backwards...

I read your linked post and enjoyed it—I've heard vaguely similar sentiments expressed before by some of my trans friends. It's like that RuPaul quote: "We're all born naked, and the rest is drag."

I hope you have a nice day, and thank you for the well-wishes :)

As someone pondering the exact same sentiment of "I like women so much that I kinda want to be one" but who hasn't fully committed to it yet, I really appreciated your vulnerability and lucid writing. I hope folks are kind here in the comments.

It took me a while to remove my facial hair, I still haven’t trained my voice.

The facial hair removal really does take forever, it's so annoying :sob:. And I've found voice training (particularly around other people) to be really intimidating. I wish you the best of luck if you decide to pursue it!

Take care, OP.