Tootfinder

OpenAI confirms it will follow President Trump's EO that asks AI companies to allow the US government to assess their models' capabilities before release (Michael Considine/CNBC)
https://www.cnbc.com/2026/06/05/openai-trump-ai-model-review-order.html

OpenAI says it will comply with Trump's order requiring AI model reviews before release
George Osborne, OpenAI's Head of Countries told CNBC that governments "have a big role to play in how this technology is used and deployed."

A discrete Boltzmann model with state-dependent power-law relaxation time for nonequilibrium transport in compressible flows
Demei Li, Zhongyi He, Huilin Lai, Yanbiao Gan, Hailong Liu, Pengfei Lin
https://arxiv.org/abs/2605.18216 https://arxiv.org/pdf/2605.18216 https://arxiv.org/html/2605.18216
arXiv:2605.18216v1 Announce Type: new
Abstract: Thermodynamic nonequilibrium effects play a central role in momentum and energy transport in compressible flows. In conventional BGK kinetic models, the relaxation time $\tau$ is taken as a constant, which neglects the dependence of the relaxation process on local macroscopic states. To overcome this limitation, we develop a discrete Boltzmann model with a density- and temperature-dependent power-law relaxation time, termed DTRT-DBM, in which $\tau=\tau_0(\rho/\rho_0)^a(T/T_0)^b$. This formulation extends the discrete Boltzmann framework to flows with spatially varying nonequilibrium intensity. The model is validated by the Sod shock tube and by analytical solutions for viscous stress and heat flux, demonstrating accurate recovery of both macroscopic wave structures and nonequilibrium quantities across shock waves, rarefaction waves, and contact discontinuities. On this basis, phase diagrams of viscous stress and heat flux are constructed to examine how these quantities depend on the power-law exponents $a$ and $b$. The extrema of these quantities depend exponentially on the model parameters and exhibit regime-dependent behaviour. The roles of $a$ and $b$ are not symmetric: the nonequilibrium response is more sensitive to $a$ when density gradients dominate, but more sensitive to $b$ when temperature gradients dominate. Within the parameter range and flow configurations examined here, higher-order viscous stress increases the growth rate of the total viscous-stress extremum, whereas higher-order heat flux reduces the growth rate of the total heat-flux extremum. These results show that the proposed model can capture different higher-order nonequilibrium responses in compressible flows and provides a framework for the modelling and analysis of multiscale nonequilibrium processes.
toXiv_bot_toot

In its report, the Yale panel extolled the aims of higher education,
🔥but was unsparing in suggesting how schools, including Yale, had harmed public views of it.
⭐️For example, Yale and many other schools now rely on a model that regularly dilutes high tuition prices with generous aid packages.
💥Although many students pay nowhere near sticker prices, the committee wrote that the approach had exacted “a disastrous impact on public trust.”
“By its nature, the system is …

Yale Report Finds Colleges Deserve Blame for Higher Education’s Problems
A 10-member committee offered a brutal assessment of academia’s role in creating the forces challenging American colleges and universities.

Cowboys Rookie Jaishawn Barham Names Ray Lewis, Fred Warner as NFL Role Models https://www.si.com/nfl/cowboys/onsi/cowboys-rookie-jaishawn-barham-names-ray-lewis-fred-warner-nfl-role-models

🔐 Role-based permissions with Owner, Admin & Member roles - granular control over team name updates, member management & invitation handling
✉️ Built-in email invitation flow with accept links, automatic login redirect & configurable expiration (default 7 days)
⚙️ Fully customizable: publish config to override role/permission enums, model classes & invitation settings - bring your own enum classes

An interview with Mustafa Suleyman on Microsoft's AI reorg, how revising its OpenAI contract "unlocked [Microsoft's] ability to pursue superintelligence", more (Hayden Field/The Verge)
https://www.theverge.com/report/905791/mustafa-s…

Microsoft’s new ‘superintelligence’ game plan is all about business
Mustafa Suleyman’s new role at Microsoft AI, post-restructuring, is focused on superintelligence and new frontier models. On Thursday, he debuted a new transcription model.

Heat from traffic is contributing to rises in city temperatures, study finds #environment

Heat from traffic is contributing to rises in city temperatures, study finds
Scientists at The University of Manchester have developed a new way to measure how traffic contributes to rising urban temperatures, revealing that everyday vehicle use can play a measurable role in making cities warmer. The researchers created a new physics-based module that allows heat produced by urban traffic to be represented directly within the Community Earth System Model (CESM)—one of the world's most widely used global climate models for predicting how Earth's climate behaves.

Public transport in the 15-minute city
https://arxiv.org/abs/2604.00699

Public transport in the 15-minute city
The 15-minute city is a powerful planning concept to counter car-dependence by promoting active mobility to amenities and fostering inclusive urban environments. However, this policy has challenges in amenity-poor urban peripheries. Public transport remains underexplored in this discourse despite its role in distant access. Here, we propose a framework that incorporates public transport into the 15-minute city model using openly available data. By comparing Helsinki, Madrid, and Budapest, we de…

Memo: Alibaba Cloud CTO Jingren Zhou will step down as CTO to focus on leading AI models in the new role of chief AI architect; executive Feifei Li becomes CTO (Juro Osawa/The Information)
https://www.theinformation.com/briefings/alibaba-streamlines…

Alibaba Streamlines Responsibilities for AI Executive
Alibaba Group senior executive Jingren Zhou, who is in charge of AI model development, will stop serving as Alibaba Cloud’s chief technology officer and concentrate on his AI role, according to an internal memo. In the latest reorganization, Alibaba also appointed Zhou the chief AI architect of its newly created technology committee chaired by CEO Eddie Wu, according to the memo, which Wu sent

An analytical model of Disequilibrium and decentralized productive Exploration
Nazaria Solferino
https://arxiv.org/abs/2604.00718 https://arxiv.org/pdf/2604.00718 https://arxiv.org/html/2604.00718
arXiv:2604.00718v1 Announce Type: new
Abstract: This paper studies the economic role of persistent dispersion in allocations across agents. We develop a tractable model in which firms allocate resources under imperfect information and behavioral updating, generating sustained heterogeneity in beliefs and actions. While dispersion induces static misallocation, it also fosters decentralized experimentation, allowing the economy to explore a broader set of productive opportunities. We show that the economy converges to a stationary equilibrium with strictly positive dispersion and that, under plausible conditions, such disequilibrium can dominate the perfectly coordinated benchmark. The model provides a novel interpretation of observed dispersion in productivity and returns as reflecting both inefficiency and productive exploration. It also yields testable predictions linking dispersion to growth and innovation dynamics.
toXiv_bot_toot

Courtroom-Style Multi-Agent Debate with Progressive RAG and Role-Switching for Controversial Claim Verification
Masnun Nuha Chowdhury, Nusrat Jahan Beg, Umme Hunny Khan, Syed Rifat Raiyan, Md Kamrul Hasan, Hasan Mahmud
https://arxiv.org/abs/2603.28488 https://arxiv.org/pdf/2603.28488 https://arxiv.org/html/2603.28488
arXiv:2603.28488v1 Announce Type: new
Abstract: Large language models (LLMs) remain unreliable for high-stakes claim verification due to hallucinations and shallow reasoning. While retrieval-augmented generation (RAG) and multi-agent debate (MAD) address this, they are limited by one-pass retrieval and unstructured debate dynamics. We propose a courtroom-style multi-agent framework, PROClaim, that reformulates verification as a structured, adversarial deliberation. Our approach integrates specialized roles (e.g., Plaintiff, Defense, Judge) with Progressive RAG (P-RAG) to dynamically expand and refine the evidence pool during the debate. Furthermore, we employ evidence negotiation, self-reflection, and heterogeneous multi-judge aggregation to enforce calibration, robustness, and diversity. In zero-shot evaluations on the Check-COVID benchmark, PROClaim achieves 81.7% accuracy, outperforming standard multi-agent debate by 10.0 percentage points, with P-RAG driving the primary performance gains ( 7.5 pp). We ultimately demonstrate that structural deliberation and model heterogeneity effectively mitigate systematic biases, providing a robust foundation for reliable claim verification. Our code and data are publicly available at https://github.com/mnc13/PROClaim.
toXiv_bot_toot