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Modular
@Modular
πŸ“…
Jun 29, 2026
5d ago
πŸ†”24764866
⭐0.34

Early tickets cover variables, functions, types, operators, and control flow. Through increasingly complex tickets, you'll also learn Mojo's ownership and metaprogramming. Every problem runs your code through the Mojo compiler so you can learn from the authentic error messages.

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cognition
@cognition
πŸ“…
Jul 01, 2026
3d ago
πŸ†”82432109
⭐0.32

Introducing Devin Security Swarm A more cost effective and accurate way to find security vulnerabilities in complex codebases, based on a new architecture: Agentic MapReduce.

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NVIDIAAI
@NVIDIAAI
πŸ“…
Jun 22, 2026
12d ago
πŸ†”06628287

3D scene reconstruction works great until the camera never sees part of the scene. ArtiFixer from NVIDIA Research is an open autoregressive model that fills in the missing geometry that other methods leave blank. #SIGGRAPH2026 paper, code + demo: https://t.co/D9PX2OzbZf https://t.co/AGQicvVKkW

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ben_burtenshaw
@ben_burtenshaw
πŸ“…
Jun 29, 2026
5d ago
πŸ†”43999807

before model distillation was an attack vector. it was. pretty handy way of improving model performance on a task you care about. especially if you want to take small, local, or cheap model and improve it on a tasks typically reserved to large models. in the next live stream, we're going to break down knowledge distillation in post-training and show you how to implement it. going out next week: July 7th 8am PST, 5pm CEST live on: @huggingface X, YT, LI

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BaiduAI_News
@BaiduAI_News
πŸ“…
Jun 23, 2026
11d ago
πŸ†”48410291

We’re open-sourcing Unlimited OCR β€” built to read long documents in one pass. With 3B total parameters and only 500M activated, Unlimited OCR sets new end-to-end SOTA results on OmniDocBench v1.5 and v1.6. The key innovation is Reference Sliding Window Attention (R-SWA), inspired by how humans transcribe books: keeping the source, recent context, and next words in focus, while softly forgetting what’s no longer needed. With constant KV Cache size and lower attention cost, Unlimited OCR can transcribe 40+ pages in a single forward pass β€” without losing context or slowing down. Explore the modelπŸ‘‡: --GitHub: https://t.co/5ZJBsEldKd --Hugging Face: https://t.co/4FKFr9EfOu

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angelaqdai
@angelaqdai
πŸ“…
Jul 04, 2026
13h ago
πŸ†”68872759

πŸ“’WorldMesh is accepted to #ECCV2026, and we're releasing the code today! πŸŽ‰ Led by @mschneider456: navigable, multi-room 3D scenes from a text prompt, with a mesh scaffold conditioning image diffusion for global consistency + photorealistic detail πŸ‘‡ https://t.co/8fXCl2flIu https://t.co/Z1HkoO3s37

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OpenAI
@OpenAI
πŸ“…
Jun 22, 2026
12d ago
πŸ†”79618296

GPT-5.5-Cyber is our most capable cyber model yet, designed for advanced, authorized defensive work: tracing vulnerable code, validating issues, developing patches, and preparing evidence for human review. https://t.co/KcDoGGD2tx

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UnslothAI
@UnslothAI
πŸ“…
Jun 23, 2026
11d ago
πŸ†”75564484

1-bit GLM-5.2 GGUF vs. Claude 4.8 Opus vs. GPT-5.5 We gave 3 models the same prompt and compared one-shot outputs. The 1-bit GLM-5.2 GGUF ran locally on a Mac Studio M3 Ultra with 256GB RAM at ~21.6 tok/s. Which output do you like best? GGUF: https://t.co/BMkxswdj5N https://t.co/UoXsCSh4Gn

@UnslothAI β€’ Thu Jun 18 12:40

GLM-5.2 can now be run locally!πŸ”₯ The 2-bit model retains ~82% accuracy after we shrunk it from 1.51TB to 238GB (-84% size). Run on a 256GB Mac or RAM/VRAM setups. GLM-5.2 is the strongest open model to date. Guide: https://t.co/bI7FeeKHDd GGUF: https://t.co/BMkxswdj5N https:/

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johnowhitaker
@johnowhitaker
πŸ“…
Jun 25, 2026
10d ago
πŸ†”72760383
⭐0.34

@unixpickle Are you still playing with text-to-CAD? The last few times I've tried GPT 5.5 has made almost-useable (and easily salvageable) bits for me in OpenSCAD.

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silverbottlep
@silverbottlep
πŸ“…
Jul 03, 2026
1d ago
πŸ†”00281454

Accepted to #ECCV2026! πŸŽ‰ We've also released the code, it should work like a charm. If it doesn't, feel free to poke @roodiiiiiiiii πŸ˜„ https://t.co/t5M0J7S1GR

@_akhaliq β€’ Tue Mar 24 18:11

Group3D MLLM-Driven Semantic Grouping for Open-Vocabulary 3D Object Detection paper: https://t.co/8NVynfAm2u https://t.co/RzkYdEKhRk

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