Tootfinder

Mira Murati's TML launches a research blog called Connectionism, and shares its work on resolving nondeterminism and achieving reproducible results from LLMs (Maxwell Zeff/TechCrunch)
https://techcrunch.com/2025/09/10/thinking-machines-lab…

Thinking Machines Lab wants to make AI models more consistent | TechCrunch
In a blog post shared Wednesday, Mira Murati's startup offered a rare glimpse into some of work its doing to improve AI models.

#European #Cloud Modules
https://berthub.eu/articles/posts/european-cloud-modules/…

Locality in Image Diffusion Models Emerges from Data Statistics
Artem Lukoianov, Chenyang Yuan, Justin Solomon, Vincent Sitzmann
https://arxiv.org/abs/2509.09672 https://…

Locality in Image Diffusion Models Emerges from Data Statistics
Among generative models, diffusion models are uniquely intriguing due to the existence of a closed-form optimal minimizer of their training objective, often referred to as the optimal denoiser. However, diffusion using this optimal denoiser merely reproduces images in the training set and hence fails to capture the behavior of deep diffusion models. Recent work has attempted to characterize this gap between the optimal denoiser and deep diffusion models, proposing analytical, training-free mode…

"A 6 or a 9?": Ensemble Learning Through the Multiplicity of Performant Models and Explanations
Gianlucca Zuin, Adriano Veloso
https://arxiv.org/abs/2509.09073 https:/…

"A 6 or a 9?": Ensemble Learning Through the Multiplicity of Performant Models and Explanations
Creating models from past observations and ensuring their effectiveness on new data is the essence of machine learning. However, selecting models that generalize well remains a challenging task. Related to this topic, the Rashomon Effect refers to cases where multiple models perform similarly well for a given learning problem. This often occurs in real-world scenarios, like the manufacturing process or medical diagnosis, where diverse patterns in data lead to multiple high-performing solutions.…

Metallica Forces Pete Hegseth To Remove Their Song - Joe.My.God.
https://www.joemygod.com/2025/07/metallica-forces-pete-hegseth-to-remove-their-song/

nach vielen Versuchen gelang mir heute ein mittelgroßer Durchbruch beim Finetuning von #ParzivAI v0.2 - ParzivAI kann jetzt reasoning!
Und bald gibt es mehr dazu!
#DH #Mittelhochdeutsch

Verräterische Vibrationen: Handy-Gespräche abhören mit Radar und KI
Durch Sprache entstehende Mikrovibrationen an Mobiltelefonen können dazu genutzt werden, um mittels Radar und KI Gespräche abzuhören.

DeepFleet: Multi-Agent Foundation Models for Mobile Robots
Ameya Agaskar, Sriram Siva, William Pickering, Kyle O'Brien, Charles Kekeh, Ang Li, Brianna Gallo Sarker, Alicia Chua, Mayur Nemade, Charun Thattai, Jiaming Di, Isaac Iyengar, Ramya Dharoor, Dino Kirouani, Jimmy Erskine, Tamir Hegazy, Scott Niekum, Usman A. Khan, Federico Pecora, Joseph W. Durham
ht…

DeepFleet: Multi-Agent Foundation Models for Mobile Robots
We introduce DeepFleet, a suite of foundation models designed to support coordination and planning for large-scale mobile robot fleets. These models are trained on fleet movement data, including robot positions, goals, and interactions, from hundreds of thousands of robots in Amazon warehouses worldwide. DeepFleet consists of four architectures that each embody a distinct inductive bias and collectively explore key points in the design space for multi-agent foundation models: the robot-centric …

Nvidia debuts new Omniverse SDKs and Cosmos world foundation models for robotics devs, including Cosmos Reason, a 7B-parameter reasoning vision language model (Rebecca Szkutak/TechCrunch)
https://techcrunch.com/2025/08/11/nvid

Nvidia unveils new Cosmos world models, infra for robotics and physical uses | TechCrunch
Nvidia on Monday unveiled a set of new world AI models, libraries, and other infrastructure for robotics developers, most notable of which is Cosmos Reason, a 7-billion-parameter "reasoning" vision language model for physical AI applications and robots.

Tahoe Therapeutics, which is building AI models of living cells, raised $30M led by Amplify Partners at a $120M valuation, taking its total funding to $42M (Alex Knapp/Forbes)
https://www.forbes.com/sites/alexknapp/202

Biotech Startup Tahoe Therapeutics Raised $30 Million To Build AI Models Of Living Cells
The Palo Alto, California-based company, now valued at $120 million, has developed a scalable way to quickly generate crucial biological data needed for AI models–and use them to find new cures for cancer.