frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

OpenCiv3: Open-source, cross-platform reimagining of Civilization III

https://openciv3.org/
534•klaussilveira•9h ago•149 comments

The Waymo World Model

https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-frontier-for-autonomous-driving-simula...
863•xnx•15h ago•523 comments

How we made geo joins 400× faster with H3 indexes

https://floedb.ai/blog/how-we-made-geo-joins-400-faster-with-h3-indexes
73•matheusalmeida•1d ago•14 comments

Show HN: Look Ma, No Linux: Shell, App Installer, Vi, Cc on ESP32-S3 / BreezyBox

https://github.com/valdanylchuk/breezydemo
183•isitcontent•9h ago•21 comments

Monty: A minimal, secure Python interpreter written in Rust for use by AI

https://github.com/pydantic/monty
184•dmpetrov•10h ago•82 comments

Show HN: I spent 4 years building a UI design tool with only the features I use

https://vecti.com
296•vecti•12h ago•130 comments

Dark Alley Mathematics

https://blog.szczepan.org/blog/three-points/
72•quibono•4d ago•13 comments

Microsoft open-sources LiteBox, a security-focused library OS

https://github.com/microsoft/litebox
344•aktau•16h ago•168 comments

Sheldon Brown's Bicycle Technical Info

https://www.sheldonbrown.com/
341•ostacke•15h ago•90 comments

Hackers (1995) Animated Experience

https://hackers-1995.vercel.app/
437•todsacerdoti•17h ago•226 comments

Unseen Footage of Atari Battlezone Arcade Cabinet Production

https://arcadeblogger.com/2026/02/02/unseen-footage-of-atari-battlezone-cabinet-production/
8•videotopia•3d ago•0 comments

Delimited Continuations vs. Lwt for Threads

https://mirageos.org/blog/delimcc-vs-lwt
14•romes•4d ago•2 comments

Show HN: If you lose your memory, how to regain access to your computer?

https://eljojo.github.io/rememory/
239•eljojo•12h ago•147 comments

An Update on Heroku

https://www.heroku.com/blog/an-update-on-heroku/
376•lstoll•16h ago•252 comments

PC Floppy Copy Protection: Vault Prolok

https://martypc.blogspot.com/2024/09/pc-floppy-copy-protection-vault-prolok.html
42•kmm•4d ago•3 comments

How to effectively write quality code with AI

https://heidenstedt.org/posts/2026/how-to-effectively-write-quality-code-with-ai/
222•i5heu•12h ago•163 comments

Show HN: ARM64 Android Dev Kit

https://github.com/denuoweb/ARM64-ADK
14•denuoweb•1d ago•2 comments

Why I Joined OpenAI

https://www.brendangregg.com/blog/2026-02-07/why-i-joined-openai.html
92•SerCe•5h ago•76 comments

What Is Ruliology?

https://writings.stephenwolfram.com/2026/01/what-is-ruliology/
3•helloplanets•4d ago•0 comments

Show HN: R3forth, a ColorForth-inspired language with a tiny VM

https://github.com/phreda4/r3
62•phreda4•9h ago•11 comments

Learning from context is harder than we thought

https://hy.tencent.com/research/100025?langVersion=en
162•limoce•3d ago•82 comments

Introducing the Developer Knowledge API and MCP Server

https://developers.googleblog.com/introducing-the-developer-knowledge-api-and-mcp-server/
38•gfortaine•7h ago•11 comments

I spent 5 years in DevOps – Solutions engineering gave me what I was missing

https://infisical.com/blog/devops-to-solutions-engineering
127•vmatsiiako•14h ago•55 comments

Female Asian Elephant Calf Born at the Smithsonian National Zoo

https://www.si.edu/newsdesk/releases/female-asian-elephant-calf-born-smithsonians-national-zoo-an...
18•gmays•4h ago•2 comments

Understanding Neural Network, Visually

https://visualrambling.space/neural-network/
261•surprisetalk•3d ago•35 comments

I now assume that all ads on Apple news are scams

https://kirkville.com/i-now-assume-that-all-ads-on-apple-news-are-scams/
1030•cdrnsf•19h ago•428 comments

FORTH? Really!?

https://rescrv.net/w/2026/02/06/associative
55•rescrv•17h ago•19 comments

Show HN: Smooth CLI – Token-efficient browser for AI agents

https://docs.smooth.sh/cli/overview
84•antves•1d ago•60 comments

WebView performance significantly slower than PWA

https://issues.chromium.org/issues/40817676
19•denysonique•6h ago•2 comments

Zlob.h 100% POSIX and glibc compatible globbing lib that is faste and better

https://github.com/dmtrKovalenko/zlob
5•neogoose•2h ago•2 comments
Open in hackernews

Show HN: Run Qwen3-Next-80B on 8GB GPU at 1tok/2s throughput

https://github.com/Mega4alik/ollm
123•anuarsh•4mo ago

Comments

addandsubtract•4mo ago
Great work! Can this technique also be used to run image diffusion models on lower VRAM GPUs?
GTP•4mo ago
Not an expert in machine learning, but AFAIK diffusion models use a completely different architecture, therefore you can't use the same code to run optimized versions of both. But maybe the core ideas can be adapted to diffusion somehow.
anuarsh•4mo ago
Thanks! I don't have much experience with diffusion models, but technically any multi-layer model could benefit from loading weights one by one
cahaya•4mo ago
Nice. Seems like i cannot run this on my Apple silicon M chips right?
jasonjmcghee•4mo ago
Depends how much ram yours has. Get a 4bit quant and it'll fit in ~40-50GB depending on context window.

And it'll run at like 40t/s depending on which one you have

poorman•4mo ago
If you have 64 GB of RAM you should be able to run the 4-bit quantized mlx models, which are specifically for the Apple silicon M chips. https://huggingface.co/collections/mlx-community/qwen3-next-...
cahaya•4mo ago
Got 32GB so was hoping I could use ollm to offload it to my SSD. Slower but making it possible to run bigger models (in emergencies)
tripplyons•4mo ago
I have can host it on my M3 laptop somewhere around 30-40 tokens per second using mlx_lm's server command:

mlx_lm.server --model mlx-community/Qwen3-Next-80B-A3B-Instruct-4bit --trust-remote-code --port 4444

I'm not sure if there is support for Qwen3-Next in any releases yet, but when I set up the python environment I had to install mlx_lm from source.

mhuffman•4mo ago
This particular one may not work on M chips, but the model itself does. I just tested a different sized version of the same model in LM Studio on a Macbook Pro, 64GB M2 Max with 12 cores, just to see.

Prompt: Create a solar system simulation in a single self-contained HTML file.

qwen3-next-80b (MLX format, 44.86 GB), 4bit 42.56 tok/sec , 2523 tokens, 12.79s to first token

- note: looked like ass, simulation broken, didn't work at all.

Then as a comparison for a model with a similar size, I tried GLM.

GLM-4-32B-0414-8bit (MLX format, 36.66 GB), 9.31 tok/sec, 2936 tokens, 4.77s to first token

- note: looked fantastic for a first try, everything worked as expected.

Not a fair comparison 4bit vs 8bit but some data. The tok/sec on Mac is pretty good depending on the models you use.

anuarsh•4mo ago
I haven't tested on Apple machines yet, but gpt-oss and qwen3-next should work I assume. Llama3 versions use cuda specific loading logic for speed boost, so it won't work for sure
mendeza•4mo ago
what is the throughput for gpt-oss, 1 token every 2 seconds is really slow, but understandable because you are moving cache to disk
anuarsh•4mo ago
1tok/2s is the best I got on my PC, thanks to MoE architecture of qwen3-next-80B. gpt-oss-20B is slower because I load all single layer experts to GPU and unpack weights (4bit -> bf16) each time. While with qwen3-next I load only active experts (normally 150 out of 512). Probably I could do the same with gpt-oss.
aappleby•4mo ago
Why even bother with the GPU at that point? CPU would be just as fast if you're bottlenecked on SSD bandwidth.
anuarsh•4mo ago
CPU is much slower than GPU. You can actually use both by offloading some layers to CPU as o.offload_layers_to_cpu(layers_num=12). It is faster to load from RAM than from SSD.
anuarsh•4mo ago
There's one more exciting thing about Qwen3-next (except, efficient MoE architecture and fast linear attention) - MTP (Multi token prediction). It is the additional layer that allows generating more tokens without the need to go through the model again. I'm trying to make it work, but unsuccesfully yet. Maybe someone could help me with it - https://github.com/Mega4alik/ollm/blob/dev/src/ollm/qwen3_ne... (dev brunch). Take a look
ydlr•4mo ago
How dramatically does this shorten lifespan of SSDs?
anuarsh•4mo ago
Good question, need to research this one