Stay updated with the latest in AI models. Here are the top picks for today, curated and summarized by HappyMonkey AI.
Grabette: an open system to record robot-manipulation data
Grabette: an open system to record robot-manipulation data.. And build a shared dataset, together.. +6 Record your own manipulation tasks in minutes with a handheld gripper, turn them into robot-ready datasets automatically, and help grow an open, collaborative dataset for…
Why it matters: Potentially relevant AI tooling update — review for integration potential.
Safety and alignment in an era of long-horizon models
July 20, 2026 Safety and alignment in an era of long-horizon models What internal use of a long-running model taught us about safety.. Summary Long-running models can solve difficult, open-ended problems, but their persistence gives them more opportunities to take unwanted…
Why it matters: Potentially relevant AI tooling update — review for integration potential.
The Librarian Who Refused to Code: Model-Dependent Identity Enactment in LLM Code Generation
Computer Science > Computation and Language Title: The Librarian Who Refused to Code: Model-Dependent Identity Enactment in LLM Code Generation Submission history Access Paper: View PDF HTML (experimental) TeX Source Ancillary files ( details ) : GATE_LOG.md LICENSE.txt…
Why it matters: Potentially relevant AI tooling update — review for integration potential.
$100 million for open source: A milestone built by the community
Share: We launched GitHub Sponsors in 2019 with a simple belief: the people who build and maintain open source software deserve to be supported for their work.. Since then, tens of thousands of sponsors—individuals and organizations alike—have turned that belief into action…..
Why it matters: Potentially relevant AI tooling update — review for integration potential.
Democratizing AI with Small Language Models: Structured Benchmarking and Parameter-Efficient Fine-Tuning for Local Deployment
Computer Science > Artificial Intelligence Title: Democratizing AI with Small Language Models: Structured Benchmarking and Parameter-Efficient Fine-Tuning for Local Deployment Submission history Access Paper: View PDF HTML (experimental) TeX Source Current browse context:…
Why it matters: Potentially relevant AI tooling update — review for integration potential.
Encoding EEG Signals to Examine Human-Like Next-Word Prediction Behaviour in Language Models
Computer Science > Computation and Language Title: Encoding EEG Signals to Examine Human-Like Next-Word Prediction Behaviour in Language Models Submission history Access Paper: View PDF HTML (experimental) TeX Source Current browse context: References & Citations NASA ADS…
Why it matters: Potentially relevant AI tooling update — review for integration potential.
Introducing Cosmos 3 Edge
Introducing Cosmos 3 Edge +15 The real world is vast and to operate in it physical AI systems need to understand how a scene is changing, anticipate what could happen next, and determine how an action will affect the world.. Machines operate at the edge in factories,…
Why it matters: Potentially relevant AI tooling update — review for integration potential.
OpenLanguageModel: Readable and Composable Small-Language-Model Pretraining for Education and Research
Computer Science > Computation and Language Title: OpenLanguageModel: Readable and Composable Small-Language-Model Pretraining for Education and Research Submission history Access Paper: View PDF HTML (experimental) TeX Source Current browse context: References & Citations…
Why it matters: Potentially relevant AI tooling update — review for integration potential.
JUMP: Single-Pass Membership Inference on Fine-Tuned Diffusion Language Models
Computer Science > Artificial Intelligence Title: JUMP: Single-Pass Membership Inference on Fine-Tuned Diffusion Language Models Submission history Access Paper: View PDF HTML (experimental) TeX Source Current browse context: References & Citations NASA ADS Google Scholar…
Why it matters: Potentially relevant AI tooling update — review for integration potential.
SpecLA: Efficient Speculative Decoding for Linear-Attention Models
Computer Science > Computation and Language Title: SpecLA: Efficient Speculative Decoding for Linear-Attention Models Submission history Access Paper: View PDF HTML (experimental) TeX Source Current browse context: References & Citations NASA ADS Google Scholar Semantic…
Why it matters: Potentially relevant AI tooling update — review for integration potential.