Tootfinder

The Instagram reel lays out the facts more clearly than the CNN article
https://www.instagram.com/reel/DOJKaNAkdfY/?hl=en
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Pattie Gonia on Instagram: "i interviewed @shannonekj, the trans ranger fired for flying the 🏳️‍⚧️ trans pride flag in yosemite."
In this powerful video, @shannonekj, a trans park ranger, talks about being fired for flying the trans pride flag in Yosemite. He shares his experience, highlights the importance of allyship, and encourages people to take action to create a more inclusive and accepting environment.

TOUCAN: Synthesizing 1.5M Tool-Agentic Data from Real-World MCP Environments
Zhangchen Xu, Adriana Meza Soria, Shawn Tan, Anurag Roy, Ashish Sunil Agrawal, Radha Poovendran, Rameswar Panda
https://arxiv.org/abs/2510.01179

TOUCAN: Synthesizing 1.5M Tool-Agentic Data from Real-World MCP Environments
Large Language Model (LLM) agents are rapidly emerging as powerful systems for automating tasks across domains. Yet progress in the open-source community is constrained by the lack of high quality permissively licensed tool-agentic training data. Existing datasets are often limited in diversity, realism, and complexity, particularly regarding multi-tool and multi-turn interactions. To address this gap, we introduce Toucan, the largest publicly available tool-agentic dataset to date, containing …

uns wurde von der Stadt gesagt, dass es leider, leider unmöglich ist, den Radstreifen rechts der parkenden Autos zu legen. Ihr Argument war, dass sie keine Kehrmaschinen hätten, sich dort um die Reinigung zu kümmern.
Ganz abgesehen vom offensichtlichen: damit einparkende Autos darauf rangieren können.
Jeden Herbst stellt sich raus, dass es plump gelogen war, denn die @…

"Rachel Reeves, boasted to corporate executives that she has “unblocked” a large housing development in Sussex being held up by “some snails … a protected species or something … microscopic snails that you cannot even see”. .. The very rare little whirlpool ramshorn snail, by no means microscopic, is an indicator of fresh water not affected by sewage pollution"

Feedback promotes efficient-coding while attenuating bias in recurrent neural networks
Holly Kular, Robert Kim, John Serences, Nuttida Rungratsameetaweemana
https://arxiv.org/abs/2509.23104

Feedback promotes efficient-coding while attenuating bias in recurrent neural networks
Studies of human decision-making demonstrate that environmental regularities, such as natural image statistics or intentionally nonuniform stimulus probabilities, can be exploited to improve efficiency (termed `efficient-coding'). Conversely, from a machine learning perspective, such nonuniform stimulus properties can lead to biased neural networks with poor generalization performance. Understanding how the brain flexibly leverages stimulus bias while maintaining robust generalization could lea…

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models
Badrinath Ramakrishnan, Akshaya Balaji
https://arxiv.org/abs/2508.14062 https://

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models
Large Language Models (LLMs) have demonstrated remarkable capabilities across diverse natural language processing tasks, but their tendency to memorize training data poses significant privacy risks, particularly during fine-tuning processes. This paper presents a comprehensive empirical analysis of data memorization in fine-tuned LLMs and introduces a novel multi-layered privacy protection framework. Through controlled experiments on modern LLM architectures including GPT-2, Phi-3, and Gemma-2,…

Sustainability or Survivability? Eliminating the Need to Choose in LEO Satellite Constellations
Chris Misa, Ramakrishnan Durairajan
https://arxiv.org/abs/2508.17763 https://

Sustainability or Survivability? Eliminating the Need to Choose in LEO Satellite Constellations
LEO Satellite Networks (LSNs) are revolutionizing global connectivity, but their reliance on tens of thousands of satellites raises pressing concerns over sustainability and survivability. In this work, we argue that the inefficiencies in LSN designs stem from ignoring the strong spatiotemporal structure of Internet traffic demand (which impacts sustainability) and the physical realities of the near-Earth space environment (which affects survivability). We propose a novel design approach based …