Tootfinder

Q&A with Hugging Face Chief Ethics Scientist Margaret Mitchell on aligning AI development with human needs, the "illusion of consensus" around AGI, and more (Melissa Heikkilä/Financial Times)
https://www.ft.com/content/7089bff2-25fc-4a25-98bf-8828ab24…

Margaret Mitchell: artificial general intelligence is ‘just vibes and snake oil’
One of the pioneers of AI ethics explains why human needs should be the central driver in the development of the technology

Ein humanoider Open-Source-Roboter für 3000 US-Dollar
Hugging Face stellt einen humanoiden Roboter für 3000 US-Dollar vor, der gehen und mit Objekten interagieren können soll.
https://www.

Hugging Face unveils two open-source humanoid robots, the $3,000 full-sized HopeJR and a $250-$300 Reachy Mini desktop unit, expected to ship by the end of 2025 (Rebecca Szkutak/TechCrunch)
https://techcrunch.com/2025/05/29/hugging-face-unveils-two-…

Hugging Face unveils two new humanoid robots | TechCrunch
Hugging Face hopes to start shipping two new open-source humanoid robots by the end of 2025.

How do Pre-Trained Models Support Software Engineering? An Empirical Study in Hugging Face
Alexandra Gonz\'alez, Xavier Franch, David Lo, Silverio Mart\'inez-Fern\'andez
https://arxiv.org/abs/2506.03013

How do Pre-Trained Models Support Software Engineering? An Empirical Study in Hugging Face
Open-Source Pre-Trained Models (PTMs) provide extensive resources for various Machine Learning (ML) tasks, yet these resources lack a classification tailored to Software Engineering (SE) needs. To address this gap, we derive a taxonomy encompassing 147 SE tasks and apply an SE-oriented classification to PTMs in a popular open-source ML repository, Hugging Face (HF). Our repository mining study began with a systematically gathered database of PTMs from the HF API, considering their model card de…

Embedded Acoustic Intelligence for Automotive Systems
Renjith Rajagopal, Peter Winzell, Sladjana Strbac, Konstantin Lindstr\"om, Petter H\"orling, Faisal Kohestani, Niloofar Mehrzad
https://arxiv.org/abs/2506.11071

Embedded Acoustic Intelligence for Automotive Systems
Transforming sound insights into actionable streams of data, this abstract leverages findings from degree thesis research to enhance automotive system intelligence, enabling us to address road type [1].By extracting and interpreting acoustic signatures from microphones installed within the wheelbase of a car, we focus on classifying road type.Utilizing deep neural networks and feature extraction powered by pre-trained models from the Open AI ecosystem (via Hugging Face [2]), our approach enable…

Mistral launches its first reasoning models: Magistral Small, on Hugging Face under an Apache 2.0 license, and Magistral Medium, in preview on Mistral's Le Chat (Kyle Wiggers/TechCrunch)
https://techcrunch.com/2025/06/10/mistral-releases-a-pai…

Mistral releases a pair of AI reasoning models | TechCrunch
Like other reasoning models, Magistral works through problems step-by-step for improved consistency and reliability across topics such as math and physics.

Google quietly released an Android app called Google AI Edge Gallery on GitHub, letting users run some AI models from Hugging Face locally on their phones (Kyle Wiggers/TechCrunch)
https://techcrunch.com/2025/05/31/goog

Google quietly released an app that lets you download and run AI models locally | TechCrunch
Last week, Google quietly released an app, Google AI Edge Gallery, that lets users run a range of openly available AI models from the AI dev platform Hugging Face on their phones.