Latent Space Masseur

ur dad

[Latent Space Masseur @latentspacehack]

@fraserpricee Awesome how about aggregate for concurrency and unsure if you shown recipe for this? 😮

[Latent Space Masseur @latentspacehack]

@UnderdogAI Why CC? And how is it’s multilinguality?

[Latent Space Masseur @latentspacehack]

@MiniMax_AI Compared to DeepSeek V4.1 flash-1017, it is not apache or mit. Would like a chart over true open weights .

[Latent Space Masseur @latentspacehack]

@deepseek_ai @DeepSeekHarness I love you and your fine licenses compared to other open weights bullshit

[Latent Space Masseur @latentspacehack]

@georgecursor @deepseek_ai @DeepSeekHarness And also why even flash, their flash v4 is much smaller and different in arch

[ComfyUI @ComfyUI]

Higgsfield promised to open-source their entire platform. They didn’t.

Let's help them.

For the next two weeks, Comfy and our partners are putting up $25,000 in prizes for the best open-source builds on the Comfy Developer Platform.

Partners: @NVIDIAAI, @runpod, @MiniMax_AI, @ltx_io, @bfl_ai

→ $10K grand prize
→ RTX 5090: Most Innovative
→ RTX 5090: Most Viral
→ RTX 5090: Open Weights Only
→ 10 runners-up: $250 in Comfy credits

[anish. @anishfn]

this is the shapeshiftui pattern at enterprise scale.

one input → Jev classifies the intent → picks the right pre-built interactive UI (form, calendar, approval card, etc.) instead of a static screen or full generation.

shipped the same idea a few weeks ago:
https://t.co/9A97RGp7yH

nice to see it shipping inside Workday. credit would be cool though :))

[Latent Space Masseur @latentspacehack]

Sana team inspired by Anish, but no attribution sadly

[anish. @anishfn]

@joelhellermark @typesafeai https://t.co/3Yz3Pf54IQ

[Latent Space Masseur @latentspacehack]

@anishfn @joelhellermark @typesafeai Attribute would have been great for the idea

[Latent Space Masseur @latentspacehack]

@aflekkas_ @DanielKempner @theo Is it allowed to login and use your claude code usage in t3??

[Latent Space Masseur @latentspacehack]

@yuichiroharai Closed DMs, I don’t have an X number so I can’t send you messages

[Meta VR @MetaVR_Official]

Meta VR Glasses
Coming Spring 2027.

[anish. @anishfn]

i built a text box that turns into whatever(some ui) you type. powered by jev

[Gustav Ekerot @designgurra]

JEV is magical for near-instant UI features(not sped up):

[Latent Space Masseur @latentspacehack]

Sadness in my eyes with all recent open weights models turning to worse and worse licenses

[Qwen @Alibaba_Qwen]

Meet Qwen-Image-2.1, the most balanced and cost-effective image generation model in the Qwen-Image series! Now open weights! 🎨

A unified model for both generation and editing, delivering top-tier quality in a lightweight package.

Highlights: 👀
- Compact & exceptionally fast: A lightweight 7B architecture that outperforms most closed-source models, with drastically accelerated inference for multi-image inputs.
- Native transparency: Natively generates and edits RGBA layers, enabling seamless compositing and text editing within transparent images.
- Versatile, high-fidelity editing: Supports up to 10 reference images and precise local control while preserving strict fidelity for portraits and products.
- Broad coverage & stunning aesthetics: Excels at panoramas, infographics, and virtual try-ons, delivering realistic textures and elegant typography.

Start to create your next masterpiece with Qwen-Image-2.1! 🖼️

- Blog: https://t.co/tVntKOi7jy
- GitHub: https://t.co/cRj66wCrWr
- Model Scope: https://t.co/64d7Ix6YFR
- Hugging Face: https://t.co/njHSBXUbVS

[wafer @wafer_ai]

we launched the most comprehensive ai performance engineering repo in the world

now we'll be posting every single resource

this is Wafer's ai performance engineering series

save this to keep up with the series. links in thread 🧵

part 3: "Intro to CUDA C++" from NVIDIA's CUDA Programming Guide.

NVIDIA covers the execution model, memory movement, and correctness checks behind CUDA programs:

- kernel launches, grid dimensions, and the organization of threads into blocks.

- thread indexing and work assignment, including bounds checks for inputs that aren't multiples of the block size.

- unified memory and explicit memory management, including control over data placement and transfers between CPU and GPU.

- asynchronous kernel execution and synchronization before the CPU uses GPU results.

- shared memory and block-level synchronization for threads that need to exchange data and coordinate their work.

- runtime initialization and the setup costs that can affect measurements of the first runtime calls.

- error handling for kernel launches and execution, including failures that surface in later API calls.

- checking GPU results against a CPU implementation with a floating-point tolerance.

the worked examples connect these concepts in a complete vector addition program, showing how to divide the work, manage its memory, and check the results before moving on to more complex kernels.

figure from An Even Easier Introduction to CUDA (Updated)

[NVIDIA HPC Developer @NVIDIAHPCDev]

Introducing CUDA Rust!

CUDA Rust lets you write GPU kernels natively in Rust, not just launch them from it.

Two paths: cuda-oxide for SIMT kernels compiled to PTX, and cutile-rs for Tile-based programming on stable Rust. Both can catch aliasing errors at compile time.

Technical blog: https://t.co/5mYSRnQkBB

[Hank @h4nkdog]

I've never felt more like Tony Stark than I do now. Using my Meta Quest, I can just throw 3D models at my 3D printers to have them start printing it😂

[Kopp @koppkev]

spent hours fine tuning the motion on this dropdown. really happy how it turned out.

[Latent Space Masseur @latentspacehack]

😂

[lyra @_lyraaaa_]

the fly brain can play beat saber