Tootfinder

Stoller: “Private Equity, UnitedHealth Take a Huge Loss as Oregon Bans Corporate Control of Doctors”.
Here in Canada, the home of single-payer free-for-residents healthcare, we’ve also had financiers rolling up a variety of healthcare operations and we should do like Oregon.
https://www.

Private Equity, UnitedHealth Take a Huge Loss as Oregon Bans Corporate Control of Doctors
Oregon passes SB 951, a bill that prohibits private equity and corporate decision-making in health care. UnitedHealth Group, Amazon, and private equity lobbied fiercely, but lost. Is it a trend?

Commanders acknowledge frustrations, find positives and move forward after blowout preseason loss to Patriots

https://www.cbssports.com/nfl/news/command…

On the Effect of Instruction Tuning Loss on Generalization
Anwoy Chatterjee, H S V N S Kowndinya Renduchintala, Sumit Bhatia, Tanmoy Chakraborty
https://arxiv.org/abs/2507.07817

On the Effect of Instruction Tuning Loss on Generalization
Instruction Tuning has emerged as a pivotal post-training paradigm that enables pre-trained language models to better follow user instructions. Despite its significance, little attention has been given to optimizing the loss function used. A fundamental, yet often overlooked, question is whether the conventional auto-regressive objective - where loss is computed only on response tokens, excluding prompt tokens - is truly optimal for instruction tuning. In this work, we systematically investigat…

A Stable and Principled Loss Function for Direct Language Model Alignment
Yuandong Tan
https://arxiv.org/abs/2508.07137 https://arxiv.org/pdf/2508.07137

A Stable and Principled Loss Function for Direct Language Model Alignment
The alignment of large language models (LLMs) with human preferences is commonly achieved through Reinforcement Learning from Human Feedback (RLHF). Direct Preference Optimization (DPO) simplified this paradigm by establishing a direct mapping between the optimal policy and a reward function, eliminating the need for an explicit reward model. However, we argue that the DPO loss function is theoretically misaligned with its own derivation, as it promotes the indefinite maximization of a logits d…

The loss tolerance of cat breeding for fault-tolerant grid state generation
Olga Solodovnikova, Ulrik L. Andersen, Jonas S. Neergaard-Nielsen
https://arxiv.org/abs/2508.06193 ht…

The loss tolerance of cat breeding for fault-tolerant grid state generation
The development of a continuous-variable photonic quantum computer depends on the reliable preparation of high-quality Gottesman-Kitaev-Preskill states. The most promising GKP preparation scheme is the cat breeding protocol, which can generate GKP states deterministically given a source of squeezed cat states, using beam splitters, homodyne detectors and a feedforward displacement. However, analyzing the performance of the protocol under loss is cumbersome due to the exponential scaling of the …

Pic 6: Joe Milton has roller coaster day in loss vs. Rams https://www.dallascowboys.com/news/pic-6-joe-milton-has-roller-coaster-day-in-loss-vs-rams

Signal Prediction for Loss Mitigation in Tactile Internet: A Leader-Follower Game-Theoretic Approach
Mohammad Ali Vahedifar, Qi Zhang
https://arxiv.org/abs/2507.07692

Signal Prediction for Loss Mitigation in Tactile Internet: A Leader-Follower Game-Theoretic Approach
Tactile Internet (TI) requires achieving ultra-low latency and highly reliable packet delivery for haptic signals. In the presence of packet loss and delay, the signal prediction method provides a viable solution for recovering the missing signals. To this end, we introduce the Leader-Follower (LeFo) approach based on a cooperative Stackelberg game, which enables both users and robots to learn and predict actions. With accurate prediction, the teleoperation system can safely relax its strict de…

GitLab reports Q1 revenue up 27% YoY to $214.5M, vs. $213.2M est., net loss of $36.3M, vs. $55.5M last year, raises full-year earnings outlook; GTLB falls 12% (Mike Wheatley/SiliconANGLE)
https://siliconangle.com/2025/06/10/gitlabs-rev…

GitLab's revenue outlook comes up short and its stock gets hammered - SiliconANGLE
GitLab's revenue outlook comes up short and its stock gets hammered - SiliconANGLE

“Copyright class actions could financially ruin AI industry, trade groups say.”
The thing is, there’s nothing to ruin.
They’re already not making any money and operating at a loss and investors want hundreds of billions, perhaps trillions in payback.
Also perhaps they should have thought of this before the criming.

Instantaneous continuous loss of Sobolev regularity for the 3D incompressible Euler equation
In-Jee Jeong, Luis Mart\'inez-Zoroa, Wojciech S. O\.za\'nski
https://arxiv.org/abs/2508.06333

Instantaneous continuous loss of Sobolev regularity for the 3D incompressible Euler equation
We prove instantaneous and continuous-in-time loss of supercritical Sobolev regularity for the 3D incompressible Euler equations in $\mathbb{R}^{3}$. Namely, for any $s\in (0,3/2)$ and $\varepsilon >0$, we construct a divergence-free initial vorticity $ω_0$ defined in $\mathbb{R}^{3}$ satisfying $\| ω_0 \|_{H^s}\leq \varepsilon$, as well as $T>0$, $c>0$ and a corresponding local-in-time solution $ω$ such that, for each $t\in [0,T]$, $ω(\cdot ,t ) \in {H^{\frac{s-ct}{1+ct}}}$ and $…

Distributed Training under Packet Loss
Erez Weintraub, Ron Banner, Ariel Orda
https://arxiv.org/abs/2507.07114 https://arxiv.org/pdf/…

Distributed Training under Packet Loss
State-of-the-art language and vision models are routinely trained across thousands of GPUs, often spanning multiple data-centers, yet today's distributed frameworks still assume reliable connections (e.g., InfiniBand or RoCE). The resulting acknowledgment traffic and retransmissions inflate tail latencies and limit scalability. Leveraging unreliable connections will reduce latency but may sacrifice model accuracy and convergence once packets are dropped. A principled, end-to-end solution that p…

Mamba-FCS: Joint Spatio- Frequency Feature Fusion, Change-Guided Attention, and SeK Loss for Enhanced Semantic Change Detection in Remote Sensing
Buddhi Wijenayake, Athulya Ratnayake, Praveen Sumanasekara, Roshan Godaliyadda, Parakrama Ekanayake, Vijitha Herath, Nichula Wasalathilaka
https://arxiv.org/abs/2508.08232

Mamba-FCS: Joint Spatio- Frequency Feature Fusion, Change-Guided Attention, and SeK Loss for Enhanced Semantic Change Detection in Remote Sensing
Semantic Change Detection (SCD) from remote sensing imagery requires models balancing extensive spatial context, computational efficiency, and sensitivity to class-imbalanced land-cover transitions. While Convolutional Neural Networks excel at local feature extraction but lack global context, Transformers provide global modeling at high computational costs. Recent Mamba architectures based on state-space models offer compelling solutions through linear complexity and efficient long-range modeli…

Continents have lost so much water to the ocean since 2002 that they have surpassed ice sheets as the biggest contributor to global sea level rise, a new study reveals.
Almost 70% of this loss is due to unchecked groundwater extraction,
which removes water from deep aquifers and eventually transfers it to the ocean, researchers found.
Together with rising rates of evaporation due to climate change, this has caused rapidly drying "hotspots" to merge into four &quo…

'Like a creeping mold that's spreading across the landscape': Separate dry areas around the world are merging into 'mega-drying' regions at an alarming rate, study finds
Unchecked groundwater extraction and climate change have dried continents significantly over the past 22 years, with 101 countries now losing fresh water to the ocean, research reveals.

Inactive CeeDee Lamb takes hit, draws penalty in Cowboys’ preseason loss to Rams https://www.nfl.com/news/inactive-ceedee-lamb-takes-hit-draws-penalty-in-cowboys-preseason-loss-to-rams

Another Woman Arrested For Her Pregnancy Loss
https://jessica.substack.com/p/another-woman-arrested-for-her-pregnancy

Advocates for net neutrality say they won't appeal a ruling against the policy, saying they don't trust the US Supreme Court to rule fairly on the issue (Jon Brodkin/Ars Technica)
https://arstechnica.com/tech-policy/20

Net neutrality advocates won’t appeal loss, say they don’t trust Supreme Court
Advocates say Supreme Court shows “hostility toward sound legal reasoning.”…

Dimensional Characterization and Pathway Modeling for Catastrophic AI Risks
Ze Shen Chin
https://arxiv.org/abs/2508.06411 https://arxiv.org/pdf/2508.06411

Dimensional Characterization and Pathway Modeling for Catastrophic AI Risks
Although discourse around the risks of Artificial Intelligence (AI) has grown, it often lacks a comprehensive, multidimensional framework, and concrete causal pathways mapping hazard to harm. This paper aims to bridge this gap by examining six commonly discussed AI catastrophic risks: CBRN, cyber offense, sudden loss of control, gradual loss of control, environmental risk, and geopolitical risk. First, we characterize these risks across seven key dimensions, namely intent, competency, entity, p…

One of those days.
tw depression
https://evemassacre.de/blog/2025/05/12/one-of-those-days/

Fifty Years of CAK
Jorick S. Vink (Armagh Observatory,Planetarium)
https://arxiv.org/abs/2506.06421 https://arxiv.org/pdf/2506.06421

Fifty Years of CAK
We present a new framework for massive star evolution that is no longer driven by Dutch or other mass-loss rate Recipes, but which take the physics of Gamma or L/M dependent mass loss consistently into account. We first discuss the hot-star mass-loss kink and the transition mass loss rate between optically thin and thick winds, before discussing vertical stellar evolution, mass evaporation, and the maximum black hole (BH) mass. We end with a suggestion that a recently uncovered red supergiant (…

Pic 6: Joe Milton has roller coaster day in loss vs. Rams https://www.dallascowboys.com/news/pic-6-joe-milton-has-roller-coaster-day-in-loss-vs-rams

Why I hate forums that lack threading?
Because it make it hard to see who is replying to whom.
Take this screenshot for example. Is the third message show a reply to the second of the first?
For the forth message it's a bit clearer from context, but still easy to get wrong.

Se nos fue un grande: Brian Wilson, la voz de los Beach Boys, falleció a los 82 años 🥹💔
🐦 #BrianWilson

🧠 Brain-enriched microRNA shows promise for protecting neurons in depression
https://medicalxpress.com/news/2025-07-brain-enriched-microrna-neurons-depression.html

Brain-enriched microRNA shows promise for protecting neurons in depression
A Henan University of Science and Technology team reports that boosting miR-542-3p thwarts stress-related cell loss in the hippocampus and eases depressive-like behavior in mice.

This https://arxiv.org/abs/2504.13070 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

A quadratic estimator view of the transfer function correction in intensity mapping surveys
In single dish neutral hydrogen (HI) intensity mapping, signal separation methods such as principal component analysis (PCA) are used to clean the astrophysical foregrounds. PCA induces a signal loss in the estimated power spectrum, which can be corrected by a transfer function (TF). By injecting mock signals of HI into the data and performing the PCA cleaning, we can use the cleaned mock HI signal to cross-correlate with the original mock, and estimate the signal loss as a TF, ${T}(\vec{k})$. …

Lightning Prediction under Uncertainty: DeepLight with Hazy Loss
Md Sultanul Arifin, Abu Nowshed Sakib, Yeasir Rayhan, Tanzima Hashem
https://arxiv.org/abs/2508.07428 https://…

Lightning Prediction under Uncertainty: DeepLight with Hazy Loss
Lightning, a common feature of severe meteorological conditions, poses significant risks, from direct human injuries to substantial economic losses. These risks are further exacerbated by climate change. Early and accurate prediction of lightning would enable preventive measures to safeguard people, protect property, and minimize economic losses. In this paper, we present DeepLight, a novel deep learning architecture for predicting lightning occurrences. Existing prediction models face several …

Broadband Low-loss Unidirectional Reflection On-chip with Asymmetric Dielectric Metasurface
Heijun Jeong, Zeki Hayran, Yuan Liu, Yahui Xiao, Hwaseob Lee, Zi Wang, Jonathan Klamkin, Francesco Monticone, Tingyi Gu
https://arxiv.org/abs/2506.06872

Broadband Low-loss Unidirectional Reflection On-chip with Asymmetric Dielectric Metasurface
Metasurface has emerged as a powerful platform for controlling light at subwavelength thickness, enabling new functionalities for imaging, polarization manipulation, and angular momentum conversion within a flat surface. We explored an integrated asymmetric metasurface simultaneously achieving broadband, low loss forward power transmission, and significant back reflection sup-pression in multi-mode waveguides. The tapering along the direction of light propagation leads to low loss and space-eff…

Sonnet 090 - XC
Then hate me when thou wilt; if ever, now;
Now, while the world is bent my deeds to cross,
Join with the spite of fortune, make me bow,
And do not drop in for an after-loss:
Ah! do not, when my heart hath 'scaped this sorrow,
Come in the rearward of a conquered woe;
Give not a windy night a rainy morrow,
To linger out a purposed overthrow.
If thou wilt leave me, do not leave me last,
When other petty griefs have …

This https://arxiv.org/abs/2412.06436 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

An Adaptively Inexact Method for Bilevel Learning Using Primal-Dual Style Differentiation
We consider a bilevel learning framework for learning linear operators. In this framework, the learnable parameters are optimized via a loss function that also depends on the minimizer of a convex optimization problem (denoted lower-level problem). We utilize an iterative algorithm called `piggyback' to compute the gradient of the loss and minimizer of the lower-level problem. Given that the lower-level problem is solved numerically, the loss function and thus its gradient can only be computed …

"Pumping Water Onto Sea Ice Could Halt its Loss in the Arctic—Nonprofit Proves ‘Naive’ Idea Plausible"
#Arctic #Climate #ClimateChange

Pumping Water Onto Sea Ice Could Halt Ice Loss in the Arctic—Nonprofit Proves 'Naive' Idea Plausible
The craziness of the whole endeavor is only matched by the urgency with which they believe something must be done to address sea ice loss.

„This loss of income cannot be explained by women's career paths or their exit from the workforce. Nor can it be explained by the very real constraints imposed by the birth of a child.
Not only do heterosexual men not experience any loss of income related to the birth of a child, which might be explained by mothers still being primarily responsible for childcare, but the same is true for both fathers in a same-sex couple.“
Menopause leads to an av. 10% loss in income

This Is Not the World I Wanted to Leave for You: Reflections on Legacy, Loss, and the Future We Shape
I have been thinking a great deal lately about living and dying, and about the strange, stubborn human hunger to leave something meaningful behind. The faces of those I have known who have already passed return to me in quiet moments, and I find myself watching those who are, even now, nearing the end of their own stories. I also include my final braided prairie knot…

This Is Not the World I Wanted to Leave for You: Reflections on Legacy, Loss, and the Future We Shape | David Boles, Blogs
I have been thinking a great deal lately about living and dying, and about the strange, stubborn human hunger to leave something meaningful behind. The faces of those I have known who have already …

Advocates for net neutrality say they won't appeal a ruling against the policy, saying they don't trust the US Supreme Court to rule fairly on the issue (Jon Brodkin/Ars Technica)
https://arstechnica.com/tech-policy/20

Net neutrality advocates won’t appeal loss, say they don’t trust Supreme Court
Advocates say Supreme Court shows “hostility toward sound legal reasoning.”…

MotionSwap
Om Patil, Jinesh Modi, Suryabha Mukhopadhyay, Meghaditya Giri, Chhavi Malhotra
https://arxiv.org/abs/2508.06430 https://arxiv.org/pdf/2508.06430…

MotionSwap
Face swapping technology has gained significant attention in both academic research and commercial applications. This paper presents our implementation and enhancement of SimSwap, an efficient framework for high fidelity face swapping. We introduce several improvements to the original model, including the integration of self and cross-attention mechanisms in the generator architecture, dynamic loss weighting, and cosine annealing learning rate scheduling. These enhancements lead to significant …

Towards Biosignals-Free Autonomous Prosthetic Hand Control via Imitation Learning
Kaijie Shi, Wanglong Lu, Hanli Zhao, Vinicius Prado da Fonseca, Ting Zou, Xianta Jiang
https://arxiv.org/abs/2506.08795

Towards Biosignals-Free Autonomous Prosthetic Hand Control via Imitation Learning
Limb loss affects millions globally, impairing physical function and reducing quality of life. Most traditional surface electromyographic (sEMG) and semi-autonomous methods require users to generate myoelectric signals for each control, imposing physically and mentally taxing demands. This study aims to develop a fully autonomous control system that enables a prosthetic hand to automatically grasp and release objects of various shapes using only a camera attached to the wrist. By placing the ha…

Distribution-free inference for LightGBM and GLM with Tweedie loss
Alokesh Manna, Aditya Vikram Sett, Dipak K. Dey, Yuwen Gu, Elizabeth D. Schifano, Jichao He
https://arxiv.org/abs/2507.06921

Distribution-free inference for LightGBM and GLM with Tweedie loss
Prediction uncertainty quantification is a key research topic in recent years scientific and business problems. In insurance industries (\cite{parodi2023pricing}), assessing the range of possible claim costs for individual drivers improves premium pricing accuracy. It also enables insurers to manage risk more effectively by accounting for uncertainty in accident likelihood and severity. In the presence of covariates, a variety of regression-type models are often used for modeling insurance clai…

New: Podcast REMIX: Grief, loss and hoarding disorder with Dr Jan Eppingstall https://www.overcomecompulsivehoarding.co.uk/podcast-remix-grief-loss-and-hoarding-disorder-with-dr-jan-eppingstall

Cavity-based optical switching via phase modulation in warm rubidium vapor
Georgia Booton, Tabijah Wasawo, William O. C. Davis, Cameron McGarry, K. R. Rusimova, Alex O. C. Davis, Josh Nunn, Peter J. Mosley
https://arxiv.org/abs/2508.06255

Cavity-based optical switching via phase modulation in warm rubidium vapor
Optical switching remains a key outstanding challenge for scalable fault-tolerant photonic quantum computing due to the trade-off between speed, bandwidth, and loss. Scalable quantum photonics demands all three, to enable high computational clock rates and resource efficient scaling to large systems. We present a cavity-based optical switch that overcomes this limitation, demonstrating 22 ns rise time, insertion loss of 2.4 dB, and 17.5 dB extinction ratio. All-optical control is achieved via p…

Generic Speech Enhancement with Self-Supervised Representation Space Loss
Hiroshi Sato, Tsubasa Ochiai, Marc Delcroix, Takafumi Moriya, Takanori Ashihara, Ryo Masumura
https://arxiv.org/abs/2507.07631

Generic Speech Enhancement with Self-Supervised Representation Space Loss
Single-channel speech enhancement is utilized in various tasks to mitigate the effect of interfering signals. Conventionally, to ensure the speech enhancement performs optimally, the speech enhancement has needed to be tuned for each task. Thus, generalizing speech enhancement models to unknown downstream tasks has been challenging. This study aims to construct a generic speech enhancement front-end that can improve the performance of back-ends to solve multiple downstream tasks. To this end, w…

Overcoming the Loss Conditioning Bottleneck in Optimization-Based PDE Solvers: A Novel Well-Conditioned Loss Function
Wenbo Cao, Weiwei Zhang
https://arxiv.org/abs/2508.02692 ht…

Overcoming the Loss Conditioning Bottleneck in Optimization-Based PDE Solvers: A Novel Well-Conditioned Loss Function
Optimization-based PDE solvers that minimize scalar loss functions have gained increasing attention in recent years. These methods either define the loss directly over discrete variables, as in Optimizing a Discrete Loss (ODIL), or indirectly through a neural network surrogate, as in Physics-Informed Neural Networks (PINNs). However, despite their promise, such methods often converge much more slowly than classical iterative solvers and are commonly regarded as inefficient. This work provides a…

Uncovering forest loss in gorilla park six months after M23 offensive in the DRC https://news.mongabay.com/2025/07/uncovering-forest-loss-in-gorilla-park-six-months-after-m23-offensive-in-the-drc/

Uncovering forest loss in gorilla park six months after M23 offensive in the DRC
Six months ago, the M23 rebel group seized Goma, one of the largest cities in the east of the Democratic Republic of Congo. In the time since, local activists and satellite images compiled by Mongabay have identified sites with soaring forest loss in Kahuzi-Biega National Park, southwest of Goma. In this vast area of primary […]

Quantifying Mix Network Privacy Erosion with Generative Models
Vasilios Mavroudis, Tariq Elahi
https://arxiv.org/abs/2506.08918 https://

Quantifying Mix Network Privacy Erosion with Generative Models
Modern mix networks improve over Tor and provide stronger privacy guarantees by robustly obfuscating metadata. As long as a message is routed through at least one honest mixnode, the privacy of the users involved is safeguarded. However, the complexity of the mixing mechanisms makes it difficult to estimate the cumulative privacy erosion occurring over time. This work uses a generative model trained on mixnet traffic to estimate the loss of privacy when users communicate persistently over a per…

Recently departed officials from the Federal Emergency Management Agency ( #Fema )
say the organization is dangerously underresourced
and overstretched in the event of further natural catastrophes.
A mass staff exodus, plunging morale and a loss of key leaders
has left the main US disaster-relief organization ill-equipped to cope with an anticipated deadly spate of storms in the curren…

Silver linings from the Cowboys' preseason loss at SoFi Stadium https://insidethestar.com/silver-linings-from-the-cowboys-preseason-loss-at-sofi-stadium

This still nauseates me.
☑️ Oracle’s Larry Ellison joined Nov. 2020 call about contesting Trump’s loss - The Washington Post
https://www.washingtonpost.com/politics/2022/05/20/larry-ellison-oracle-trump-election-challenges/

Oracle’s Larry Ellison joined Nov. 2020 call about contesting Trump’s loss
The billionaire GOP donor, the biggest backer of Elon Musk’s attempted Twitter takeover, participated along with Fox’s Sean Hannity and Sen. Lindsey Graham, according to court filings and a participant.

"In a record year for forest loss across the tropics, more than a fifth of all the primary forest destroyed in 2024 was in Bolivia, placing the Latin American nation at the very heart of a global crisis."
Bolivia Burning: ‘We are on the edge of a precipice’ | Latin America Bureau

Bolivia Burning: ‘We are on the edge of a precipice’ | Latin America Bureau
In a record year for forest loss across the tropics, more than a fifth of all the primary forest destroyed in 2024 was in Bolivia, placing the Latin

This https://arxiv.org/abs/2504.11284 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation
Bipartite ranking is a fundamental supervised learning problem, with the goal of learning a ranking over instances with maximal Area Under the ROC Curve (AUC) against a single binary target label. However, one may often observe multiple binary target labels, e.g., from distinct human annotators. How can one synthesize such labels into a single coherent ranking? In this work, we formally analyze two approaches to this problem -- loss aggregation and label aggregation -- by characterizing their B…

This https://arxiv.org/abs/2503.17834 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

Gauge preservation in renormalization for Yang-Mills and gravity theories
In the present work, multiplicative renormalization \cite{dixon} for Yang-Mills theories is reviewed. While this subject is not new, it is suggested that a clear understanding of these methods leads to a systematic way for interpreting the counter terms needed for non multiplicative renormalization of quantum gravity, for models such as \cite{dewitt}-\cite{stelle2}. These models are renormalizable but contain apparent instabilities leading to possible unitarity loss, an earlier analog is \cite{…

eSASRec: Enhancing Transformer-based Recommendations in a Modular Fashion
Daria Tikhonovich, Nikita Zelinskiy, Aleksandr V. Petrov, Mayya Spirina, Andrei Semenov, Andrey V. Savchenko, Sergei Kuliev
https://arxiv.org/abs/2508.06450

eSASRec: Enhancing Transformer-based Recommendations in a Modular Fashion
Since their introduction, Transformer-based models, such as SASRec and BERT4Rec, have become common baselines for sequential recommendations, surpassing earlier neural and non-neural methods. A number of following publications have shown that the effectiveness of these models can be improved by, for example, slightly updating the architecture of the Transformer layers, using better training objectives, and employing improved loss functions. However, the additivity of these modular improvements …

This https://arxiv.org/abs/2302.06367 has been replaced.
initial toot: https://mastoxiv.page/@a…

Excitonic effects in energy loss spectra of freestanding graphene
In this work we perform electron energy-loss spectroscopy (EELS) of freestanding graphene with high energy and momentum resolution to disentangle the quasielastic scattering from the excitation gap of Dirac electrons close to the optical limit. We show the importance of many-body effects on electronic excitations at finite transferred momentum by comparing measured EELS with ab initio calculations at increasing levels of theory. Quasi-particle corrections and excitonic effects are addressed wit…

Finished “Why Fish Don’t Exist” by Lulu Miller, in which the author, dealing with her own demons, looks for reasons why we should persist in a universe of chaos & entropy. Do we matter?
She initially finds relief in the taxonomist David Starr Jordan, who suffered great setbacks, but always continued ever onward. That he was a horrid eugenicist comes out later, in a solid rebuke of his beliefs, undone by the very science he beloved.
4/5 stars ⭐️ ⭐️ ⭐️ ⭐️

Why Fish Don’t Exist: A Story of Loss, Love, and the Hi…
A wondrous debut from an extraordinary new voice in non…

Sam Altman says OpenAI should prioritize growth and its investments in training and compute "for a long time", even if it delays its path to profitability (Ashley Capoot/CNBC)
https://www.cnbc.com/2025/08/08/chatgpt-gpt-5-openai-altman-loss.html

OpenAI's Altman is still looking to spend after GPT-5 launch and is 'willing to run the loss'
The company just released GPT-5, its latest and most advanced large-scale AI model.

A plasmoid-model for mass loss from stars on the upper red giant branch: The mass loss rate is controlled by the number of density scale heights in the convection zone
J. MacDonald, D. J. Mullan
https://arxiv.org/abs/2508.05480

A plasmoid-model for mass loss from stars on the upper red giant branch: The mass loss rate is controlled by the number of density scale heights in the convection zone
Recent asteroseismic determinations of ΔM, the integrated mass loss on the red giant branch (RGB), for fields stars show a trend of ΔM decreasing as metallicity increases. This trend among field stars is inconsistent with many existing models of RGB mass loss. The present paper is motivated by a 'plasmoid' model of RGB mass loss in which magnetic flux loops, generated by a shear dynamo operating below the convection zone, are buoyed up to the stellar surface starting at the evolutionary stage…

The Impact of Natal Kicks on Black Hole Binaries
Alejandro Vigna-G\'omez
https://arxiv.org/abs/2507.07573 https://arxiv.org/pdf/2…

The Impact of Natal Kicks on Black Hole Binaries
In massive binary-star systems, supernova explosions can significantly alter the orbit during the formation of compact objects. Some compact objects are predicted to form via direct collapse, a scenario with negligible mass loss and no baryonic ejecta emitted. In this scenario, most of the energy is released via neutrinos, and any resulting natal kick arises from asymmetries in their emission. Here I investigate stellar collapse leading to binary black hole (BH) formation, with a focus on how t…

THz/RF Multi-Hop Routing Throughput: Performance, Optimization, and Application
Zhengying Lou, Baha Eddine Youcef Belmekki, Mohamed-Slim Alouini
https://arxiv.org/abs/2508.06975

THz/RF Multi-Hop Routing Throughput: Performance, Optimization, and Application
Terahertz (THz) communication offers a promising solution for high-throughput wireless systems. However, the severe path loss of THz signals raises concerns about its effectiveness compared to radio frequency (RF) communication. In this article, we establish the first stochastic geometry (SG)-based analytical framework for routing in THz systems. We develop a stepwise optimization approach to maximize throughput, including power allocation, relay selection, and number of hops design. Analytical…

HIGHLIGHTS: Rams OLB Josaiah Stewart gets his first NFL sack on Cowboys QB Joe Milton for an 8-yard loss https://www.therams.com/video/josaiah-stewart-first-nfl-sack-coboys-joe-milton-8-yard-loss-preseason-rams

💉 Research identifies genetic predictor of weight loss with GLP-1RAs
#medicine

Research identifies genetic predictor of weight loss with GLP-1RAs
A new study published by Cleveland Clinic researchers in Diabetes, Obesity and Metabolism investigating the genetic underpinnings of weight loss response has identified a gene, neurobeachin (NBEA), as a predictor of how individuals respond to GLP-1RAs, the class of medications behind popular treatments like liraglutide and semaglutide.

This https://arxiv.org/abs/2505.24247 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

50 Years of Automated Face Recognition
Over the past 50 years, automated face recognition has evolved from rudimentary, handcrafted systems into sophisticated deep learning models that rival and often surpass human performance. This paper chronicles the history and technological progression of FR, from early geometric and statistical methods to modern deep neural architectures leveraging massive real and AI-generated datasets. We examine key innovations that have shaped the field, including developments in dataset, loss function, ne…

Travis Kelce on Chiefs' Super Bowl LIX loss: 'I've thrown that thing in the trash' https://www.nfl.com/news/travis-kelce-chiefs-super-bowl-lix-loss-ive-thrown-that-thing-in-trash

UniTracker: Learning Universal Whole-Body Motion Tracker for Humanoid Robots
Kangning Yin, Weishuai Zeng, Ke Fan, Zirui Wang, Qiang Zhang, Zheng Tian, Jingbo Wang, Jiangmiao Pang, Weinan Zhang
https://arxiv.org/abs/2507.07356

UniTracker: Learning Universal Whole-Body Motion Tracker for Humanoid Robots
Humanoid robots must achieve diverse, robust, and generalizable whole-body control to operate effectively in complex, human-centric environments. However, existing methods, particularly those based on teacher-student frameworks often suffer from a loss of motion diversity during policy distillation and exhibit limited generalization to unseen behaviors. In this work, we present UniTracker, a simplified yet powerful framework that integrates a Conditional Variational Autoencoder (CVAE) into the …

Lionsgate reports Q1 studio revenue down 6% YoY to $556M, above est., motion picture revenue down 24% to $267.3M, and TV production revenue up 20% to $288.5M (Etan Vlessing/The Hollywood Reporter)
https://www.hollywoodreporter.com/business/…

Lionsgate’s Studio Business Revenue Tumbles In Earnings After Starz Split
The newly single Hollywood studio saw overall revenues fall to $556 million, compared to a year-earlier $590.7 million.

Collective Communication Profiling of Modern-day Machine Learning Workloads
Jit Gupta, Andrew Li, Tarun Banka, Ariel Cohen, T. Sridhar, Raj Yavatkar
https://arxiv.org/abs/2507.07117

Collective Communication Profiling of Modern-day Machine Learning Workloads
Machine Learning jobs, carried out on large number of distributed high performance systems, involve periodic communication using operations like AllReduce, AllGather, and Broadcast. These operations may create high bandwidth and bursty traffic patterns, leading to network congestion and packet loss, thus impacting the performance of these jobs. Hence it is imperative to analyze these patterns, which can be helpful in provisioning network resources depending on the type of machine learning workl…

Cowboys Announce Change in 6-Foot-2 Playmaker’s Role After Loss to Rams https://heavy.com/sports/nfl/dallas-cowboys/news-rumors-rams-traeshon-holden/?adt_ei=[email]

This https://arxiv.org/abs/2503.16398 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

The global convergence time of stochastic gradient descent in non-convex landscapes: Sharp estimates via large deviations
In this paper, we examine the time it takes for stochastic gradient descent (SGD) to reach the global minimum of a general, non-convex loss function. We approach this question through the lens of randomly perturbed dynamical systems and large deviations theory, and we provide a tight characterization of the global convergence time of SGD via matching upper and lower bounds. These bounds are dominated by the most "costly" set of obstacles that the algorithm may need to overcome in order to reach…

Bridging Farm Economics and Landscape Ecology for Global Sustainability through Hierarchical and Bayesian Optimization
Kevin Bradley Dsouza, Graham Alexander Watt, Yuri Leonenko, Juan Moreno-Cruz
https://arxiv.org/abs/2508.06386

Bridging Farm Economics and Landscape Ecology for Global Sustainability through Hierarchical and Bayesian Optimization
Agricultural landscapes face the dual challenge of sustaining food production while reversing biodiversity loss. Agri-environmental policies often fall short of delivering ecological functions such as landscape connectivity, in part due to a persistent disconnect between farm-level economic decisions and landscape-scale spatial planning. We introduce a novel hierarchical optimization framework that bridges this gap. First, an Ecological Intensification (EI) model determines the economically opt…

Kelce on SB loss: 'Thrown that thing in the trash' https://www.espn.com/nfl/story/_/id/45915123/kelce-said-thrown-chiefs-super-bowl-loss-trash

Featureless Wireless Communications using Enhanced Autoencoder
Ruhui Zhang, Wei Lin, Binbin Chen
https://arxiv.org/abs/2507.07474 https://

Featureless Wireless Communications using Enhanced Autoencoder
Artificial intelligence (AI) techniques, particularly autoencoders (AEs), have gained significant attention in wireless communication systems. This paper investigates using an AE to generate featureless signals with a low probability of detection and interception (LPD/LPI). Firstly, we introduce a novel loss function that adds a KL divergence term to the categorical cross entropy, enhancing the noise like characteristics of AE-generated signals while preserving block error rate (BLER). Secondly…

A low-loss telecom-band nanofiber cavity for interfacing Yb atomic qubits
Seitaro Horikawa, Shinya Kato, Ryotaro Inoue, Takao Aoki, Akihisa Goban, Hideki Konishi
https://arxiv.org/abs/2506.06123

A low-loss telecom-band nanofiber cavity for interfacing Yb atomic qubits
We demonstrate the fabrication of an optical nanofiber cavity designed for efficient interface with ytterbium (Yb) atoms at telecom-wavelength transitions. Replacing the conventional hydrogen-oxygen flame with a deuterium-oxygen flame in the heat-and-pull method suppresses hydroxyl-induced absorption losses and enables low-loss nanofiber production with minimal modifications to the existing fabrication system. Using this technique, we fabricate a nanofiber cavity at 1389 nm that exhibits an int…

This https://arxiv.org/abs/2503.21301 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Low-loss silicon nitride Kerr-microresonators fabricated with metallic etch masks via metal lift-off
Stoichiometric silicon nitride has emerged as a widely used integrated photonic material owing to its high index of refraction, nonlinear optical properties, and broad transparency window spanning visible to mid-IR frequencies. However, silicon nitride is generally more resistant to reactive ion etching than are typical etch masks made of polymer-based resist. This necessitates resist layers that are significantly thicker than the silicon nitride and results in mask patterns which are tall and …

This https://arxiv.org/abs/2505.21904 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

CAST: Contrastive Adaptation and Distillation for Semi-Supervised Instance Segmentation
Instance segmentation demands costly per-pixel annotations and large models. We introduce CAST, a semi-supervised knowledge distillation (SSKD) framework that compresses pretrained vision foundation models (VFM) into compact experts using limited labeled and abundant unlabeled data. CAST unfolds in three stages: (1) domain adaptation of the VFM teacher(s) via self-training with contrastive pixel calibration, (2) distillation into a compact student via a unified multi-objective loss that couples…

🌁 BMW I6, V8 M Cars Will Survive Emissions Crackdown With No Performance Loss
https://www.thedrive.com/news/bmw-i6-v8-m-cars-will-survive-emissions-crackdown-with-no-performance-loss

BMW I6, V8 M Cars Will Survive Emissions Crackdown With No Performance Loss
BMW says it has made some "very interesting" tweaks to ensure that the engines M cars are known for will continue to exist for years to come.

Trump demands Brazil drop charges against Bolsonaro, former president who tried to stay in office after election loss
Donald Trump’s enraged letterto his Brazilian counterpart, Luiz Inšcio Lula da Silva, announcing that
the US would impose a 50% tariff on imports from Brazil,
said that the move was motivated in part by the treatment of former president Jair Bolsonaro,
who was barred from running for office until 2030 and is on trial for allegedly plotting to remain in…

This https://arxiv.org/abs/2505.22772 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Calibrated Value-Aware Model Learning with Stochastic Environment Models
The idea of value-aware model learning, that models should produce accurate value estimates, has gained prominence in model-based reinforcement learning. The MuZero loss, which penalizes a model's value function prediction compared to the ground-truth value function, has been utilized in several prominent empirical works in the literature. However, theoretical investigation into its strengths and weaknesses is limited. In this paper, we analyze the family of value-aware model learning losses, w…

The Corporation for Public Broadcasting announces that it is shutting down following the loss of federal funding (CPB)
https://cpb.org/pressroom/Corporation-Public-Broadcasting-Addresses-Operations-Following-Loss-Federal-Funding…

TTrace: Lightweight Error Checking and Diagnosis for Distributed Training
Haitian Jiang, Shaowei Zhu, Zhen Zhang, Zhenyu Song, Xinwei Fu, Zhen Jia, Yida Wang, Jinyang Li
https://arxiv.org/abs/2506.09280

TTrace: Lightweight Error Checking and Diagnosis for Distributed Training
Distributed training is essential for scaling the training of large neural network models, such as large language models (LLMs), across thousands of GPUs. However, the complexity of distributed training programs makes them particularly prone to silent bugs, which do not produce explicit error signal but lead to incorrect training outcome. Effectively detecting and localizing such silent bugs in distributed training is challenging. Common debugging practice using metrics like training loss or gr…

X-Shooting ULLYSES: Massive stars at low metallicity. XIII. Putting the bi-stability jump to the test in the LMC
T. Alkousa (Astrophysics Research Cluster, School of Mathematical and Physical Sciences, University of Sheffield), P. A. Crowther (Astrophysics Research Cluster, School of Mathematical and Physical Sciences, University of Sheffield), J. M. Bestenlehner (Astrophysics Research Cluster, School of Mathematical and Physical Sciences, University of Sheffield, School of Chemical, M…

X-Shooting ULLYSES: Massive stars at low metallicity. XIII. Putting the bi-stability jump to the test in the LMC
We aim to investigate the theoretical bi-stability jump, which predicts an increase in mass-loss rates below 21 kK. We further aim to constrain the photospheric and wind parameters of a sample of 16 LMC late-O and B supergiants. We utilise the 1D, non-LTE radiative transfer model CMFGEN in a grid-based approach and subsequent fine-tuned spectroscopic fitting procedure to determine the stellar and wind parameters of each star. We apply this method to ultra-violet data from the ULLYSES programme …

Edge burst effect and scale-free localization
G. Sen, C. Yuce
https://arxiv.org/abs/2506.08559 https://arxiv.org/pdf/2506.08559

Edge burst effect and scale-free localization
The non-Hermitian edge burst is a phenomenon observed in non-Hermitian quantum dynamics, characterized by a significant accumulation of loss at the boundaries of a system. We present an example of the edge burst effect in a lossy lattice with bipolar non-Hermitian skin effect (NHSE). By introducing a weak coupling between two such non-Hermitian lattices, we demonstrate that the system exhibits bipolar scale-free localization. Through an analysis of local decay distributions and their sensitivit…

Travis Kelce quickly 'moved on' from Chiefs' Super Bowl loss, says he's 'thrown that thing in the trash'

https://www.cbssports.com/nfl/news…

KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks
Siyuan Yang, Cheng Song, Zhilu Lai, Wenjia Wang
https://arxiv.org/abs/2506.08563 https…

KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks
Differential equations are involved in modeling many engineering problems. Many efforts have been devoted to solving differential equations. Due to the flexibility of neural networks, Physics Informed Neural Networks (PINNs) have recently been proposed to solve complex differential equations and have demonstrated superior performance in many applications. While the L2 loss function is usually a default choice in PINNs, it has been shown that the corresponding numerical solution is incorrect and…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[2/4]:
- Harmonic Loss Trains Interpretable AI Models
David D. Baek, Ziming Liu, Riya Tyagi, Max Tegmark

Chiefs QB Patrick Mahomes ready to leave Super Bowl loss behind in 2025: 'Let's just play football' https://www.nfl.com/news/chiefs-qb-patrick-mahomes-ready-to-leave-super-bowl-loss-behind-in-2025-let-…

Repeated ancilla reuse for logical computation on a neutral atom quantum computer
J. A. Muniz, D. Crow, H. Kim, J. M. Kindem, W. B. Cairncross, A. Ryou, T. C. Bohdanowicz, C. -A. Chen, Y. Ji, A. M. W. Jones, E. Megidish, C. Nishiguchi, M. Urbanek, L. Wadleigh, T. Wilkason, D. Aasen, K. Barnes, J. M. Bello-Rivas, I. Bloomfield, G. Booth, A. Brown, M. O. Brown, K. Cassella, G. Cowan, J. Epstein, M. Feldkamp, C. Griger, Y. Hassan, A. Heinz, E. Halperin, T. Hofler, F. Hummel, M. Jaffe, E. …

Repeated ancilla reuse for logical computation on a neutral atom quantum computer
Quantum processors based on neutral atoms trapped in arrays of optical tweezers have appealing properties, including relatively easy qubit number scaling and the ability to engineer arbitrary gate connectivity with atom movement. However, these platforms are inherently prone to atom loss, and the ability to replace lost atoms during a quantum computation is an important but previously elusive capability. Here, we demonstrate the ability to measure and re-initialize, and if necessary replace, a …

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new/
[3/7]:
Low-Loss Space in Neural Networks is Continuous and Fully Connected
ht…

The first-ever human trial exploring the use of stem cell therapy to reverse hearing loss is about to be under way,
after getting the go-ahead from the UK’s Medicines and Healthcare products Regulatory Agency.
In a nutshell, the treatment,
dubbed Rincell-1,
is intended to regrow damaged nerves in the cochlea
and allow them to start sending signals to the brain again.

Stem Cell Treatment to Reverse Hearing Loss Kicking Off in Human Patients
Researchers in the UK have received approval to conduct the first ever human trials for a stem cell treatment to reverse hearing loss.

PBS North Carolina says it will offer voluntary buyouts as it anticipates an annual loss of $4.8M in federal funding and may also lose $4M in state funding (Julian Wyllie/Current)
https://current.org/2025/08/pbs-north-carolina-will-cut-sta…

PBS North Carolina will cut staff amid state and federal funding crisis
The station faces an annual loss of $4.8 million in federal support.

2025 Bengals look a lot like the 2024 Bengals: Here's the good, bad and ugly from preseason loss to Eagles

https://www.cbssports.com/nfl/news/2025-be

3 Cowboys players whose stock increased in Week 1 preseason loss to Rams https://www.si.com/nfl/cowboys/news/3-dallas-cowboys-players-whose-stock-increased-week-1-nfl-preseason-los-angeles-rams

On a few pitfalls in KL divergence gradient estimation for RL
Yunhao Tang, R\'emi Munos
https://arxiv.org/abs/2506.09477 https://…

On a few pitfalls in KL divergence gradient estimation for RL
We point out a few pitfalls in implementing gradient estimation for KL divergence in RL training for LLM, as seen in a number of open source projects and papers. The first major pitfall is to differentiate through the KL estimate as loss functions to minimize KL divergence. We show that such implementations are generally incorrect and do not produce the desired KL gradient. Secondly, we show that some implementations do not account for the sequential nature of the estimation problem and produce…

Saints' Tyler Shough makes most of opportunity in preseason debut amid QB battle https://www.nfl.com/news/saints-tyler-shough-makes-most-of-opportunity-in-preseason-debut-amid-qb-battle

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new/
[1/7]:
Effective Regularization Through Loss-Function Metalearning
https://…

Landon Dickerson injury: Cowboys' Week 1 opponent facing major concern https://www.si.com/nfl/cowboys/news/landon-dickerson-injury-dallas-cowboys-week-1-opponent-major-concern

2025 NFL game-by-game predictions: Expert picks all 285 games, win total bets, Super Bowl futures

https://www.cbssports.com/nfl/news/2025-nf

NDCG-Consistent Softmax Approximation with Accelerated Convergence
Yuanhao Pu, Defu Lian, Xiaolong Chen, Xu Huang, Jin Chen, Enhong Chen
https://arxiv.org/abs/2506.09454

NDCG-Consistent Softmax Approximation with Accelerated Convergence
Ranking tasks constitute fundamental components of extreme similarity learning frameworks, where extremely large corpora of objects are modeled through relative similarity relationships adhering to predefined ordinal structures. Among various ranking surrogates, Softmax (SM) Loss has been widely adopted due to its natural capability to handle listwise ranking via global negative comparisons, along with its flexibility across diverse application scenarios. However, despite its effectiveness, SM …

Cowboys QB Named Biggest ‘Loser’ After Shaky Preseason Debut https://heavy.com/sports/nfl/dallas-cowboys/joe-milton-biggest-loser-preseason-debut/?adt_ei=[email]

Causal Graph Recovery in Neuroimaging through Answer Set Programming
Mohammadsajad Abavisani, Kseniya Solovyeva, David Danks, Vince Calhoun, Sergey Plis
https://arxiv.org/abs/2506.09286

Causal Graph Recovery in Neuroimaging through Answer Set Programming
Learning graphical causal structures from time series data presents significant challenges, especially when the measurement frequency does not match the causal timescale of the system. This often leads to a set of equally possible underlying causal graphs due to information loss from sub-sampling (i.e., not observing all possible states of the system throughout time). Our research addresses this challenge by incorporating the effects of sub-sampling in the derivation of causal graphs, resulting…

Each NFL team's biggest offseason loss: 49ers won't look same without Deebo Samuel; Chiefs to miss Joe Thuney?

https://www.cbssports.com…

Cowboys want to get Joe Milton plenty of snaps before deciding if he will be Dak Prescott's backup https://www.foxsports.com/articles/nfl/cowboys-want-to-get-joe-milton-plenty-of-snaps-before-deciding-if-h…

Robust Noise Attenuation via Adaptive Pooling of Transformer Outputs
Greyson Brothers
https://arxiv.org/abs/2506.09215 https://arxiv.…

Robust Noise Attenuation via Adaptive Pooling of Transformer Outputs
We investigate the design of pooling methods used to summarize the outputs of transformer embedding models, primarily motivated by reinforcement learning and vision applications. This work considers problems where a subset of the input vectors contains requisite information for a downstream task (signal) while the rest are distractors (noise). By framing pooling as vector quantization with the goal of minimizing signal loss, we demonstrate that the standard methods used to aggregate transformer…

Patrick Mahomes still bothered by Chiefs Super Bowl loss: 'Where are we going to go now?'

https://www.cbssports.com/nfl/news/patrick-mah…

Dallas Cowboys benefit from NFC team’s biggest offseason loss https://www.si.com/nfl/cowboys/news/dallas-cowboys-benefit-from-nfc-team-biggest-offseason-loss