thanks codex team for supporting the radare2 project with some Pro subs!🙏❤️ https://t.co/0fKEt16AeI

thanks codex team for supporting the radare2 project with some Pro subs!🙏❤️ https://t.co/0fKEt16AeI

that was the old me, the six days ago me https://t.co/btAJYAwAjL

amazing work team https://t.co/9d1cEx7vy2

Couldn't help it! Had to give GPT 5.4 (High) + /fast mode a try. → Added height terrains to the level → Animation tweens for the jumps Used xHigh to solve a gnarly bug with the controls successfully 💪 This Final Fantasy Tactics-inspired game was completely vibe coded! https://t.co/q2K7PovU62

We’re announcing Kos-1 Lite, a medical model that achieves SOTA on HealthBench Hard at 46.6%. As a medium sized language model (~100B), it achieves these results at a fraction of the serving cost of frontier trillion-parameter models. https://t.co/27sxAHPgZM

We’re announcing Kos-1 Lite, a medical model that achieves SOTA on HealthBench Hard at 46.6%. As a medium sized language model (~100B), it achieves these results at a fraction of the serving cost of frontier trillion-parameter models. https://t.co/27sxAHPgZM

SWE-rebench V2 A language-agnostic pipeline that automatically harvests 32,000+ executable real-world software engineering tasks across 20 programming languages. Built for large-scale RL training of code agents with reproducible Docker environments. https://t.co/JJ0vLH5N7B

SWE-rebench V2 A language-agnostic pipeline that automatically harvests 32,000+ executable real-world software engineering tasks across 20 programming languages. Built for large-scale RL training of code agents with reproducible Docker environments. https://t.co/JJ0vLH5N7B

Image Generation with a Sphere Encoder https://t.co/6I2FbpogaC

Utonia Toward One Encoder for All Point Clouds paper: https://t.co/AJFPivgBm9 https://t.co/Xbux4iY1QV

BeyondSWE Can Current Code Agent Survive Beyond Single-Repo Bug Fixing? paper: https://t.co/IrLgJJomQU

Beyond Language Modeling An Exploration of Multimodal Pretraining paper: https://t.co/GmtPAQDo8T

Beyond Length Scaling Synergizing Breadth and Depth for Generative Reward Models https://t.co/25QhR93OKK

Kiwi-Edit Versatile Video Editing via Instruction and Reference Guidance https://t.co/s9xlDgXhfc

BBQ-to-Image Numeric Bounding Box and Qolor Control in Large-Scale Text-to-Image Models paper: https://t.co/54U6zmx2ZA https://t.co/fW8zbIrE19

Video world models today have a very limited context length. Mode Seeking meets Mean Seeking (MMM) unlocks long-context, persistent video world models through a unified representation. 1/8 🧵 https://t.co/XXMic82qoc

The Faster-Qwen3-TTS demo just passed the official Qwen3-TTS demo in Hugging Face trending (last 7 days). Now the #5 most trending Space 🚀 https://t.co/8Ar622nKU9

Helios Real Real-Time Long Video Generation Model paper: https://t.co/ae0ZH4zPzn https://t.co/kCnNfF3ImI

Heterogeneous Agent Collaborative Reinforcement Learning https://t.co/ASb1VwtCeK

Proact-VL A Proactive VideoLLM for Real-Time AI Companions https://t.co/GkHdSKxSvi

CubeComposer Spatio-Temporal Autoregressive 4K 360° Video Generation from Perspective Video paper: https://t.co/mnDM1VrYn7 https://t.co/iHtlZJCo1w

LTX-2.3 is out on Hugging Face model: https://t.co/te5nwPL1LE https://t.co/biO7szxFGz

Tencent released HY-WU on Hugging Face An Extensible Functional Neural Memory Framework and An Instantiation in Text-Guided Image Editing model: https://t.co/jAnic8Z9i1 https://t.co/LsLpyjMVQT