Tootfinder

Cowboys' top 2026 NFL draft fits include 'physical tone-setter' at safety https://www.si.com/nfl/cowboys/onsi/draft/dallas-cowboys-top-2026-nfl-draft-fits-physical-tone-setter-safety

With an influx of Meta alums, some OpenAI staffers worry it is adopting Meta's tactics, like using social media dynamics with Sora and a softening stance on ads (The Information)
https://www.theinformation.com/articles/openai-readies-facebook-era

OpenAI Readies Itself for Its Facebook Era
This summer, Fidji Simo wasted no time addressing a concern among many at OpenAI. Leading her first all-hands meeting as the startup’s new CEO of applications, she acknowledged that she and many others at OpenAI shared the same background: They’d previously worked at Meta Platforms. And then ...

Das Landgericht Koblenz hat entschieden, dass 1&1 seine „Glasfaser-DSL“-Werbung einstellen muss.
Zum Artikel: https://heise.de/-10781152?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege.md_beitraege&utm_source=mastodon

In a tactical curiosity the #Feds have deployed #ICE to an island with only one two lane bridge to get back into #oakland
Perhaps picking this spot is to ideally attract ridonkuluss seemingly violent smokey imagery of govt troops being…

Source: Threads plans to add podcast previews to let snippets of shows play directly in user feeds; it is focusing on live events, seeking to attract podcasters (Ashley Carman/Bloomberg)
https://www.bloomberg.com/news/articles/20

From a small business perspective it is amazing to me how sick the US government has become - not just under El Cheato, but in general.
We have to update our SAM registration. SAM is a system used by the Federal GSA to know something about vendors selling things to the Feds. That's a good idea.
But the implementation is a nightmare for a small business.
Even something as simple as an address change triggers long forms, and more forms from other agencies, and a hell of…

The Hidden DNA of LLM-Generated JavaScript: Structural Patterns Enable High-Accuracy Authorship Attribution
Norbert Tihanyi, Bilel Cherif, Richard A. Dubniczky, Mohamed Amine Ferrag, Tam\'as Bisztray
https://arxiv.org/abs/2510.10493

The Hidden DNA of LLM-Generated JavaScript: Structural Patterns Enable High-Accuracy Authorship Attribution
In this paper, we present the first large-scale study exploring whether JavaScript code generated by Large Language Models (LLMs) can reveal which model produced it, enabling reliable authorship attribution and model fingerprinting. With the rapid rise of AI-generated code, attribution is playing a critical role in detecting vulnerabilities, flagging malicious content, and ensuring accountability. While AI-vs-human detection usually treats AI as a single category we show that individual LLMs le…

MODE: Learning compositional representations of complex systems with Mixtures Of Dynamical Experts
Nathan Quiblier, Roy Friedman, Matthew Ricci
https://arxiv.org/abs/2510.09594 …

MODE: Learning compositional representations of complex systems with Mixtures Of Dynamical Experts
Dynamical systems in the life sciences are often composed of complex mixtures of overlapping behavioral regimes. Cellular subpopulations may shift from cycling to equilibrium dynamics or branch towards different developmental fates. The transitions between these regimes can appear noisy and irregular, posing a serious challenge to traditional, flow-based modeling techniques which assume locally smooth dynamics. To address this challenge, we propose MODE (Mixture Of Dynamical Experts), a graphic…