Tootfinder

Medallion, which automates healthcare back-office operations and compliance, raised $43M at a valuation of around $440M, bringing its total raised to $130M (Medallion)
https://www.prnewswire.com/news-r…

Medallion Raises $43 Million to Expand AI Infrastructure and Launch the First National Credentialing Clearinghouse
/PRNewswire/ -- Medallion, the leader in AI-powered provider network infrastructure, today announced it has raised $43 million in new funding. Acrew Capital...

Data-driven Methods of Extracting Text Structure and Information Transfer
Shinichi Honna, Taichi Murayama, Akira Matsui
https://arxiv.org/abs/2509.12999 https://

Data-driven Methods of Extracting Text Structure and Information Transfer
The Anna Karenina Principle (AKP) holds that success requires satisfying a small set of essential conditions, whereas failure takes diverse forms. We test AKP, its reverse, and two further patterns described as ordered and noisy across novels, online encyclopedias, research papers, and movies. Texts are represented as sequences of functional blocks, and convergence is assessed in transition order and position. Results show that structural principles vary by medium: novels follow reverse AKP in …

O Niniro (um dos gatos da rua que alimento) sumiu hš muito tempo (talvez meses), mas havia um outro gato que é bem parecido com ele que eu chamava de "Clone do Niniro" que também ganhava comida, mas era bem arredio, ao contršrio do Niniro que era extremamente carinhoso. Hoje fui dar comida para o "Clone do Niniro" e ele se comportou de forma estranha, quis se esfregar nas minhas pernas e até deixou que eu fizesse carinho nele. Eu estranhei. Agora estou comparando as fotos…

AQORA: A Learned Adaptive Query Optimizer for Spark SQL
Jiahao He, Yutao Cui, Cuiping Li, Jikang Jiang, Yuheng Hou, Hong Chen
https://arxiv.org/abs/2510.10580 https://

AQORA: A Learned Adaptive Query Optimizer for Spark SQL
Recent studies have identified two main approaches to improve query optimization: learned query optimization (LQO), which generates or selects better query plans before execution based on models trained in advance, and adaptive query processing (AQP), which adapts the query plan during execution based on statistical feedback collected at runtime. Although both approaches have shown promise, they also face critical limitations. LQO must commit to a fixed plan without access to actual cardinaliti…

Hard agree, re building APIs
https://mastodon.social/@raiderrobert/115196876811033350

Não é em tudo que estou de acordo com a juventude. Agora, essa
permissividade, essa revolução sexual, não sei não, mas é uma coisa
que me interessa muito.
-- Millôr Fernandes

BACHI: Boundary-Aware Symbolic Chord Recognition Through Masked Iterative Decoding on Pop and Classical Music
Mingyang Yao, Ke Chen, Shlomo Dubnov, Taylor Berg-Kirkpatrick
https://arxiv.org/abs/2510.06528

BACHI: Boundary-Aware Symbolic Chord Recognition Through Masked Iterative Decoding on Pop and Classical Music
Automatic chord recognition (ACR) via deep learning models has gradually achieved promising recognition accuracy, yet two key challenges remain. First, prior work has primarily focused on audio-domain ACR, while symbolic music (e.g., score) ACR has received limited attention due to data scarcity. Second, existing methods still overlook strategies that are aligned with human music analytical practices. To address these challenges, we make two contributions: (1) we introduce POP909-CL, an enhance…

🇺🇦 Auf radioeins läuft...
Prince:
🎵 Let's Go Crazy
#NowPlaying #Prince
https://aggro1.bandcamp.com/track/prince-lets-go-crazy-x-eqwillus-edge
https://open.spotify.com/track/6FMIVQPZg9cmMY8hPxAacD

Content Moderation Futures
Lindsay Blackwell
https://arxiv.org/abs/2509.09076 https://arxiv.org/pdf/2509.09076

Content Moderation Futures
This study examines the failures and possibilities of contemporary social media governance through the lived experiences of various content moderation professionals. Drawing on participatory design workshops with 33 practitioners in both the technology industry and broader civil society, this research identifies significant structural misalignments between corporate incentives and public interests. While experts agree that successful content moderation is principled, consistent, contextual, pro…

> As currently constructed, AI is an oligarchy-enriching, worker-immiserating, energy-depleting, brain-rotting economic bubble in waiting. Democrats can get on the public’s side here.
I haven't even read the article but (considering how strongly I agree with the premises here) I'm mostly just sad about how clearly this highlights the financial capture of the DNC
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Democrats Must Oppose the AI Industry - The American Prospect

Democrats Must Oppose the AI Industry
As currently constructed, AI is an oligarchy-enriching, worker-immiserating, energy-depleting, brain-rotting economic bubble in waiting. Democrats can get on the public’s side here.