Open Source - AI Unfiltered

[AINews] OpenAI shuts off Cursor

Aug 29 via Latent Space open-source

Elon v Altman has a real consequence.

[AINews] OpenAI to reach AGI bar by end-2026

Aug 28 via Latent Space open-source

It’s Time. We’re in the Endgame now.

The Open ASR Leaderboard Adds Its First Global South Language

Aug 28 via Hugging Face Blog open-source

SWE-Prime: Fewer Trajectories, Better Performance

Aug 27 via HF Daily Papers open-source

To improve large language models' ability to resolve real-world software issues, prior work has focused on constructing large-scale agent trajectory datasets and performing supervised fine-tuning (SFT) on successful trajectories. However, task success does not guarantee high-quality supervision:...

CLAP: Cross-Embodiment Video World Models are Zero-Shot Physical Simulators

Aug 27 via HF Daily Papers open-source

State-of-the-art action-conditioned video models are typically restricted to a single robot embodiment, preventing them from leveraging the vast corpus of heterogeneous video data that contains rich signals for learning generalizable physics. To bridge this gap, we introduce CLAP, a framework for...

Decoupled I/O-Dominant Pipelines for Large-Scale Whole-Slide Image Embedding Extraction

Aug 27 via HF Daily Papers open-source

Whole-slide images (WSIs) are central to computational pathology but are prohibitively large, making patch-based processing the practical unit for foundation model inference. At scale, however, generating and handling massive numbers of patches on quickly introduces significant I/O and...

SSMB: Self-Supervised Local Feature Detection under Motion Blur

Aug 27 via HF Daily Papers open-source

Keypoint detection under motion blur remains a significant challenge, as blur distorts local image structure and degrades the repeatability of feature localization. Existing approaches either rely on computationally expensive deblur-then-detect pipelines that may introduce restoration artifacts, or...

GRAIN: Bridging Name and Narrative Shifts in Real-World Graph Reasoning through Invariance-Rewarded Agentic RL

Aug 27 via HF Daily Papers open-source

Despite their potential in standardized graph tasks, Large Language Models (LLMs) remain brittle to real-world shifts in node identifiers and task formulation. While deterministic graph tools are invariant to such shifts, extracting topological structures from noisy text is highly fragile for LLMs,...