Tootfinder

To my mind the following article suggests that the present day "AI" approach is very wrong.
Why? Because biological RI (Real Intelligence) out performs CI (Computer Intelligence) by orders of magnitude on many dimensions: power required (perhaps 20 to 50 watts for the human brain), weight, size, cooling, and ability to innovate in new ways.
Our present digital computer approach to intelligence seems about as apt as trying to power passenger airplanes using onboard coal…

OpenAI Signs $38 Billion Cloud Computing Deal With Amazon
After signing agreements to use computing power from Nvidia, AMD and Oracle, OpenAI is partnering with the world’s largest cloud computing company.

SEC filing: Super Micro cautions that its financial control weaknesses, if not fixed, could hurt its ability to report results "in a timely and accurate manner" (Dina Bass/Bloomberg)
https://www.bloomberg.com/news/articles/20

Superdiffusive fractional dynamics: Unveiling regularity results in systems with general positive self-adjoint operators
Edgardo Alvarez, Ciprian G. Gal, Valentin Keyantuo, Mahamadi Warma
https://arxiv.org/abs/2509.02733

Superdiffusive fractional dynamics: Unveiling regularity results in systems with general positive self-adjoint operators
We investigate the following fractional order in time Cauchy problem \begin{equation*} \begin{cases} \mathbb{D}_{t}^{α}u(t)+Au(t)=f(u(t)), & 1<α<2, \\ u(0)=u_{0},\,\,\,u^{\prime }(0)=u_{1}. & \end{cases}% \end{equation*}% where $\mathbb{D}_{t}^{α}u(\cdot )$ is the Caputo time-fractional derivative of order $α\in (1, 2)$ of the function $u$. Such problems are increasingly used in concrete models in applied sciences, notably phenomena with memory effects. We obtain results on existence and re…

BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs
Yue Wang, Ruotian Ma, Xingyu Chen, Zhengliang Shi, Wanshun Chen, Huang Liu, Jiadi Yao, Qu Yang, Qingxuan Jiang, Fanghua Ye, Juntao Li, Min Zhang, Zhaopeng Tu, Xiaolong Li, Linus
https://arxiv.org/abs/2509.26514…

BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs
The rise of Large Language Models (LLMs) is reshaping multimodel models, with speech synthesis being a prominent application. However, existing approaches often underutilize the linguistic intelligence of these models, typically failing to leverage their powerful instruction-following capabilities. This limitation hinders the model's ability to follow text instructions for controllable Text-to-Speech~(TTS). To address this, we propose a new paradigm inspired by ``operationalism'' that decouples…

E.W. Scripps agrees to sell its Indianapolis ABC affiliate station WRTV to Circle City Broadcasting for $83M; Scripps agreed to sell WFTX for $40M in September (Lucas Manfredi/The Wrap)
https://www.thewrap.com/ew-scripps-wrtv-circle-city-broadcasting-sale/

E.W. Scripps to Sell Indianapolis ABC Affiliate WRTV to Circle City Broadcasting for $83 Million
The deal for the Indianapolis ABC affiliate station will close following receipt of regulatory and other customary approvals

Group Relative Policy Optimization for Speech Recognition
Prashanth Gurunath Shivakumar, Yile Gu, Ankur Gandhe, Ivan Bulyko
https://arxiv.org/abs/2509.01939 https://

Group Relative Policy Optimization for Speech Recognition
Speech Recognition has seen a dramatic shift towards adopting Large Language Models (LLMs). This shift is partly driven by good scalability properties demonstrated by LLMs, ability to leverage large amounts of labelled, unlabelled speech and text data, streaming capabilities with auto-regressive framework and multi-tasking with instruction following characteristics of LLMs. However, simple next-token prediction objective, typically employed with LLMs, have certain limitations in performance and…

Day 6: Kamome Shirahama
Before I wander much father afield, I'd be remiss not to include at least one Mangaka (I've got 8 on my planning list; if you think Manga is pushing it just wait until you see what the next few days have in store).
I'm currently following "Witch Hat Atelier," and it's absolutely amazing in several dimensions: first class world-building, deep philosophical themes, nuanced diverse cast, tightly-constructed interwoven plots, deep mysteries that keep everything churning and show up in unexpected places, absolutely stellar art both in terms of in-panel depictions and page layouts (some are Watchmen-quality), especially if you are sartorially inclined, and general kindness of its core messages. This is a series I wish every programmer would read, because it includes excellent advice about software design in multiple ways (did I mention there's an intricate and logical magic system within which the main character innovates in legible-to-the-reader-as-innovation ways?). Also, I bet I would have enjoyed this just a much as a 10-year-old as I'm enjoying it in my 30's, which is something that takes well-honed skill to pull off.
Shirahama is a master of her craft, and I'm honestly kinda surprised to see Witch Hat is only her second series. Definitely thinking how I can get my hands on her earlier work in English.
#20AuthorsNoMen

When Instructions Multiply: Measuring and Estimating LLM Capabilities of Multiple Instructions Following
Keno Harada, Yudai Yamazaki, Masachika Taniguchi, Edison Marrese-Taylor, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
https://arxiv.org/abs/2509.21051

When Instructions Multiply: Measuring and Estimating LLM Capabilities of Multiple Instructions Following
As large language models (LLMs) are increasingly applied to real-world scenarios, it becomes crucial to understand their ability to follow multiple instructions simultaneously. To systematically evaluate these capabilities, we introduce two specialized benchmarks for fundamental domains where multiple instructions following is important: Many Instruction-Following Eval (ManyIFEval) for text generation with up to ten instructions, and Style-aware Mostly Basic Programming Problems (StyleMBPP) for…

Filing: Applied Materials plans to cut ~4% of its global workforce and expects the layoffs to cost $160M to $180M; it had 36,100 employees as of the end of July (Nick Turner/Bloomberg)
https://www.bloomberg.com/news/articles/2025…

A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers
Ming Hu, Chenglong Ma, Wei Li, Wanghan Xu, Jiamin Wu, Jucheng Hu, Tianbin Li, Guohang Zhuang, Jiaqi Liu, Yingzhou Lu, Ying Chen, Chaoyang Zhang, Cheng Tan, Jie Ying, Guocheng Wu, Shujian Gao, Pengcheng Chen, Jiashi Lin, Haitao Wu, Lulu Chen, Fengxiang Wang, Yuanyuan Zhang, Xiangyu Zhao, Feilong Tang, Encheng Su, Junzhi Ning, Xinyao Liu, Ye Du, Changkai Ji, Cheng Tang, Huihui Xu, Ziyang Chen, Ziyan Hu…

A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers
Scientific Large Language Models (Sci-LLMs) are transforming how knowledge is represented, integrated, and applied in scientific research, yet their progress is shaped by the complex nature of scientific data. This survey presents a comprehensive, data-centric synthesis that reframes the development of Sci-LLMs as a co-evolution between models and their underlying data substrate. We formulate a unified taxonomy of scientific data and a hierarchical model of scientific knowledge, emphasizing the…