Tootfinder

When "self-driving" cars were first getting some hype back in ~2015 or so, I told people who asked me that I didn't think they'd be safe, and that I wished the same money were being invested in driver-assistance systems instead.
At the time, advocates were claiming that self-driving cars would be safer than human drivers.
We now have both self-driving cars and some nifty new driver assistance things, and it turns out that the self-driving cars are in fact being developed by corporations whose attention to the bottom line results in danger to others on the road pretty regularly. I don't actually have stats here for whether they're "safer than human drivers" or not, but the opportunity for one bad software update to make *all* self-driving cars dangerous at once kinda makes me doubt that.
Here's an example of Waymo cars getting "more aggressive" as they try to balance between being too timid and obstructing traffic (including emergency vehicles) and being too dangerous:
https://archive.ph/JJuGv
Here's another example of passing stopped schoolbusses leading to a software recall:
https://abcnews.go.com/GMA/News/waymo-issue-voluntary-software-recall-after-close-calls/story?id=128207776
In the first article, Waymo claims 91% fewer serious accidents per mile. Obviously an independent audit would be actually trustworthy, but even if we take that claim at face value, it's meaningless if an update tomorrow causes 100,000 accidents.
Note that they could be using better engineering practices, and the fact that they aren't shows that they don't care enough about the risks. They could be deploying new software versions incrementally and slowly, letting new versions rack up lots of miles only on a few vehicles before pushing them to a fleet. The should also have the equivalent of a simulation unit test for "schoolbus is stopped, what do?" and if a software version fails that test, it doesn't make it to the fleet. Clearly they don't have that.
I feel pretty vindicated in my earlier prediction that this tech is a bad idea in the hands of the current advocates.

Amazon plans to let authors offer their DRM-free ebooks in the EPUB and PDF formats through Kindle Direct Publishing, starting January 20, 2026 (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/12/10/amazon-chan…

Amazon changes how copyright protection is applied to Kindle Direct's self-published ebooks | TechCrunch
Amazon says its Kindle Direct DRM-free titles will be available as PDFs and EPUB files going forward.

ArgoTweak: Towards Self-Updating HD Maps through Structured Priors
Lena Wild, Rafael Valencia, Patric Jensfelt
https://arxiv.org/abs/2509.08764 https://arx…

ArgoTweak: Towards Self-Updating HD Maps through Structured Priors
Reliable integration of prior information is crucial for self-verifying and self-updating HD maps. However, no public dataset includes the required triplet of prior maps, current maps, and sensor data. As a result, existing methods must rely on synthetic priors, which create inconsistencies and lead to a significant sim2real gap. To address this, we introduce ArgoTweak, the first dataset to complete the triplet with realistic map priors. At its core, ArgoTweak employs a bijective mapping framew…

Amazon plans to let authors offer their DRM-free ebooks in the EPUB and PDF formats through Kindle Direct Publishing, starting January 20, 2026 (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/12/10/amazon-chan…

Amazon changes how copyright protection is applied to Kindle Direct's self-published ebooks | TechCrunch
Amazon says its Kindle Direct DRM-free titles will be available as PDFs and EPUB files going forward.

Massive DHS "Self-Deportation" Contract Challenged as Secretive and "Unlawful" (Mother Jones)
https://www.motherjones.com/politics/2025/10/dhs-ice-self-deportation-contract-salus-worldwide-csi-aviation/
http://www.memeorandum.com/251010/p104#a251010p104

Exclusive: Dems Fire Back at Trump’s ‘Freaky’ Kid Self-Deportation Plan
https://www.thebulwark.com/p/exclusive-dems-congressional-hispanic-caucus-fire-back-at-trump-freaky-friday-child-minor-self-deportation

DC Department of Parks and Recreation installed a new plaque at T Street Park memorializing William Dorsey Swann, a formerly enslaved DC resident who was one of the country’s earliest advocates for LGBTQ rights.
https://www.smithsonianmag.com/history/the…

The First Self-Proclaimed Drag Queen Was a Formerly Enslaved Man
In the late 19th century, William Dorsey Swann's private parties attracted unwelcome attention from authorities and the press

Contrastive Self-Supervised Learning at the Edge: An Energy Perspective
Fernanda Fam\'a, Roberto Pereira, Charalampos Kalalas, Paolo Dini, Lorena Qendro, Fahim Kawsar, Mohammad Malekzadeh
https://arxiv.org/abs/2510.08374

Contrastive Self-Supervised Learning at the Edge: An Energy Perspective
While contrastive learning (CL) shows considerable promise in self-supervised representation learning, its deployment on resource-constrained devices remains largely underexplored. The substantial computational demands required for training conventional CL frameworks pose a set of challenges, particularly in terms of energy consumption, data availability, and memory usage. We conduct an evaluation of four widely used CL frameworks: SimCLR, MoCo, SimSiam, and Barlow Twins. We focus on the practi…

Today my daughter's preschool is holding a farewell assembly for one of her classmates
whose mother has no choice but to self deport.
The school is hoping it will be joyful in tone, so we might make this less upsetting for this 3 year old.
There's just no words for the uselessness of this cruelty.
ht…

Maggie Tokuda-Hall (@maggietokudahall.bsky.social)
Today my daughter's preschool is holding a farewell assembly for one of her classmates whose mother has no choice but to self deport. The school is hoping it will be joyful in tone, so we might make this less upsetting for this 3 year old. There's just no words for the uselessness of this cruelty.

Leveraging AI Agents for Autonomous Networks: A Reference Architecture and Empirical Studies
Binghan Wu, Shoufeng Wang, Yunxin Liu, Ya-Qin Zhang, Joseph Sifakis, Ye Ouyang
https://arxiv.org/abs/2509.08312

Leveraging AI Agents for Autonomous Networks: A Reference Architecture and Empirical Studies
The evolution toward Level 4 (L4) Autonomous Networks (AN) represents a strategic inflection point in telecommunications, where networks must transcend reactive automation to achieve genuine cognitive capabilities--fulfilling TM Forum's vision of self-configuring, self-healing, and self-optimizing systems that deliver zero-wait, zero-touch, and zero-fault services. This work bridges the gap between architectural theory and operational reality by implementing Joseph Sifakis's AN Agent reference …

🦾 Bird-like robot with novel wing system achieves self-takeoff and low-speed flight
#robots

Bird-like robot with novel wing system achieves self-takeoff and low-speed flight
In 2021, a group of scientists from China engineered the RoboFalcon—a bird-inspired flapping-wing robot with a newly engineered mechanism made to drive bat-style morphing wings capable of flight. While this bio-inspired robot performed well at a cruising speed, it was not capable of flying at lower speeds or achieving takeoff without assistance.

A Systematic Evaluation of Self-Supervised Learning for Label-Efficient Sleep Staging with Wearable EEG
Emilio Estevan, Mar\'ia Sierra-Torralba, Eduardo L\'opez-Larraz, Luis Montesano
https://arxiv.org/abs/2510.07960

A Systematic Evaluation of Self-Supervised Learning for Label-Efficient Sleep Staging with Wearable EEG
Wearable EEG devices have emerged as a promising alternative to polysomnography (PSG). As affordable and scalable solutions, their widespread adoption results in the collection of massive volumes of unlabeled data that cannot be analyzed by clinicians at scale. Meanwhile, the recent success of deep learning for sleep scoring has relied on large annotated datasets. Self-supervised learning (SSL) offers an opportunity to bridge this gap, leveraging unlabeled signals to address label scarcity and …

Steelers vs. Chargers NFL player props: Self-learning AI backs Justin Herbert Over 252.5 passing on SNF

https://www.cbssports.com/nfl/news/steelers-chargers-nfl-pla…

Self-replication and Computational Universality
Jordan Cotler, Cl\'ement Hongler, Barbora Hudcov\'a
https://arxiv.org/abs/2510.08342 https://arxiv.…

Neologism Learning for Controllability and Self-Verbalization
John Hewitt, Oyvind Tafjord, Robert Geirhos, Been Kim
https://arxiv.org/abs/2510.08506 https://

Neologism Learning for Controllability and Self-Verbalization
Humans invent new words when there is a rising demand for a new useful concept (e.g., doomscrolling). We explore and validate a similar idea in our communication with LLMs: introducing new words to better understand and control the models, expanding on the recently introduced neologism learning. This method introduces a new word by adding a new word embedding and training with examples that exhibit the concept with no other changes in model parameters. We show that adding a new word allows for …

A Dynamic, Self-balancing k-d Tree
Russell A. Brown
https://arxiv.org/abs/2509.08148 https://arxiv.org/pdf/2509.08148…

A Dynamic, Self-balancing k-d Tree
The original description of the k-d tree recognized that rebalancing techniques, such as used to build an AVL tree or a red-black tree, are not applicable to a k-d tree, because these techniques involve cyclic exchange (aka rotation) of tree nodes, which destroys the sorted order of the k-d tree. For this reason, a static k-d tree is often built from all of the k-dimensional data en masse. However, it is possible to build a dynamic k-d tree that self-balances when necessary after insertion or d…

Techno-economic analysis of self-sustainable thermophotovoltaic systems for grid-scale energy generation
Jihun Lim, Sungwon Lee
https://arxiv.org/abs/2510.07338 https://

Techno-economic analysis of self-sustainable thermophotovoltaic systems for grid-scale energy generation
To facilitate the widespread adoption of renewable energy, dispatchable, zero-emission power sources are essential for grid stability. This work performs a comprehensive techno-economic analysis of a self-sustainable thermophotovoltaic (TPV) system, an architecture that integrates solar charging to function as a standalone power generation asset. Using theory-based models for air-bridge InGaAs and Si diode cells, our analysis reveals that while the system is not currently competitive from a pur…

Maximally Useful and Minimally Redundant: The Key to Self Supervised Learning for Imbalanced Data
Yash Kumar Sharma, Vineet Nair, Wilson Naik
https://arxiv.org/abs/2509.08469 ht…

Maximally Useful and Minimally Redundant: The Key to Self Supervised Learning for Imbalanced Data
The robustness of contrastive self-supervised learning (CSSL) for imbalanced datasets is largely unexplored. CSSL usually makes use of \emph{multi-view} assumptions to learn discriminatory features via similar and dissimilar data samples. CSSL works well on balanced datasets, but does not generalize well for imbalanced datasets. In a very recent paper, as part of future work, Yann LeCun pointed out that the self-supervised multiview framework can be extended to cases involving \emph{more than t…

Trump, the Self-Styled "President of PEACE" Abroad, Makes War at Home (Susan B. Glasser/New Yorker)
https://www.newyorker.com/news/letter-from-trumps-washington/trump-the-self-styled-president-of-peace-abroad-makes-war-at-home
http://www.memeorandum.com/251009/p127#a251009p127

Good Deep Features to Track: Self-Supervised Feature Extraction and Tracking in Visual Odometry
Sai Puneeth Reddy Gottam, Haoming Zhang, Eivydas Keras
https://arxiv.org/abs/2509.08333

Good Deep Features to Track: Self-Supervised Feature Extraction and Tracking in Visual Odometry
Visual-based localization has made significant progress, yet its performance often drops in large-scale, outdoor, and long-term settings due to factors like lighting changes, dynamic scenes, and low-texture areas. These challenges degrade feature extraction and tracking, which are critical for accurate motion estimation. While learning-based methods such as SuperPoint and SuperGlue show improved feature coverage and robustness, they still face generalization issues with out-of-distribution data…

TDoA-Based Self-Supervised Channel Charting with NLoS Mitigation
Mohsen Ahadi, Omid Esrafilian, Florian Kaltenberger, Adeel Malik
https://arxiv.org/abs/2510.08001 https://

TDoA-Based Self-Supervised Channel Charting with NLoS Mitigation
Channel Charting (CC) has emerged as a promising framework for data-driven radio localization, yet existing approaches often struggle to scale globally and to handle the distortions introduced by non-line-of-sight (NLoS) conditions. In this work, we propose a novel CC method that leverages Channel Impulse Response (CIR) data enriched with practical features such as Time Difference of Arrival (TDoA) and Transmission Reception Point (TRP) locations, enabling a self-supervised localization functio…

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR
Zeyu Sun, Jingjing Liang, Weiyi Wang, Chenyao Suo, Junjie Chen, Fanjiang Xu
https://arxiv.org/abs/2510.07815

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR
MLIR (Multi-Level Intermediate Representation) has rapidly become a foundational technology for modern compiler frameworks, enabling extensibility across diverse domains. However, ensuring the correctness and robustness of MLIR itself remains challenging. Existing fuzzing approaches-based on manually crafted templates or rule-based mutations-struggle to generate sufficiently diverse and semantically valid test cases, making it difficult to expose subtle or deep-seated bugs within MLIR's complex…

Finite element models for Self-Deployable Miura-folded origami
Suraj Singh Gehlot, Siddhanth Gautam, Sanhita Das
https://arxiv.org/abs/2510.08029 https://a…

Finite element models for Self-Deployable Miura-folded origami
Origami-inspired self-deployable structures offer lightweight, compact, and autonomous deployment capabilities, making them highly attractive for aerospace and defence applications, such as solar panels, antennas, and reflector systems. This paper presents finite element frameworks for simulating Miura-origami units in ABAQUS, focusing on two deployment mechanisms: elastic strain energy release and thermally activated shape-memory polymers (SMPs). Validation against experimental data for elasti…

Thinking about self-hosting a chat system but it's really weird how militaristic the websites are !
E.g. rocket chat https://www.rocket.chat/ and mattermost https://

Human-Centered Development of Indicators for Self-Service Learning Analytics: A Transparency through Exploration Approach
Shoeb Joarder, Mohamed Amine Chatti
https://arxiv.org/abs/2510.08395

Human-Centered Development of Indicators for Self-Service Learning Analytics: A Transparency through Exploration Approach
The aim of learning analytics is to turn educational data into insights, decisions, and actions to improve learning and teaching. The reasoning of the provided insights, decisions, and actions is often not transparent to the end-user, and this can lead to trust and acceptance issues when interventions, feedback, and recommendations fail. In this paper, we shed light on achieving transparent learning analytics by following a transparency through exploration approach. To this end, we present the …

citeseer: CiteSeer citations (2014)
Citations among papers indexed by the CiteSeer digital library. If a paper i cites a paper j also in this data set, then a directed edge connects i to j. (Papers not in the data set are excluded.) Self-loops may be present.
This network has 384413 nodes and 1751463 edges.
Tags: Informational, Citation, Unweighted

Note to self: grijze haren inkleuren bij profiel foto.
🫣

Distributed Resource Selection for Self-Organising Cloud-Edge Systems
Quentin Renau, Amjad Ullah, Emma Hart
https://arxiv.org/abs/2510.08228 https://arxiv.…

Distributed Resource Selection for Self-Organising Cloud-Edge Systems
This paper presents a distributed resource selection mechanism for diverse cloud-edge environments, enabling dynamic and context-aware allocation of resources to meet the demands of complex distributed applications. By distributing the decision-making process, our approach ensures efficiency, scalability, and resilience in highly dynamic cloud-edge environments where centralised coordination becomes a bottleneck. The proposed mechanism aims to function as a core component of a broader, distribu…

Self-OH: Digital Naïves
#DigitalNatives

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Yalla Miku:
🎵 Maximum Self-Care
#YallaMiku
https://yallamiku.bandcamp.com/track/maximum-self-care
https://open.spotify.com/track/1a0OMv1hKVWqRF8IMzlXxK

I made pizza

Why learn good time management, when you can achieve the same with abject self-exploitation? #academicChatter

“How is it possible that a peace proposal ignores the International Court of Justice’s July 2024 Advisory Opinion, which reiterated that Israel’s occupation is illegal and must end?
How can it fail to mention the Palestinian’s right to self-determination?
Why are Palestinians, who have a right under international law to armed struggle against an occupying power, expected to disarm while Israel, the illegally occupying force, is not?”
And many more good questions.

Trump’s Sham Peace Plan
There will be no peace in Gaza. Only the temporary absence of war.

Self-organized hyperuniformity in a minimal model of population dynamics
Tal Agranov, Natan Wiegenfeld, Omer Karin, Benjamin D. Simons
https://arxiv.org/abs/2509.08077 https://

Self-organized hyperuniformity in a minimal model of population dynamics
We identify a novel scenario for hyperuniformity in a generic model of population dynamics that has been recently introduced to account for biological memory in the immune system and epigenetic inheritance. In this model, individuals' competition over a shared resource guides the population towards a critical steady state with prolonged individual life time. Here we uncover that the spatially extended model is characterized by hyperuniform density fluctuations. A hydrodynamic theory is derived …

I hold that genuine freedom can only be realized through the direct self-management of labor and the collective organization of social life by those engaged in it. No political vanguard, governmental apparatus, or capitalist hierarchy can provide emancipation, it must emerge from the autonomous initiative of workers acting in solidarity, constructing federations of production and community based on voluntary association and mutual responsibility.
For me, anarcho-syndicalism represents …

Gaussian Equivalence for Self-Attention: Asymptotic Spectral Analysis of Attention Matrix
Tomohiro Hayase, Beno\^it Collins, Ryo Karakida
https://arxiv.org/abs/2510.06685 https:…

Gaussian Equivalence for Self-Attention: Asymptotic Spectral Analysis of Attention Matrix
Self-attention layers have become fundamental building blocks of modern deep neural networks, yet their theoretical understanding remains limited, particularly from the perspective of random matrix theory. In this work, we provide a rigorous analysis of the singular value spectrum of the attention matrix and establish the first Gaussian equivalence result for attention. In a natural regime where the inverse temperature remains of constant order, we show that the singular value distribution of t…

Sonnet 004 - IV
Unthrifty loveliness, why dost thou spend
Upon thy self thy beauty's legacy?
Nature's bequest gives nothing, but doth lend,
And being frank she lends to those are free:
Then, beauteous niggard, why dost thou abuse
The bounteous largess given thee to give?
Profitless usurer, why dost thou use
So great a sum of sums, yet canst not live?
For having traffic with thy self alone,
Thou of thy self thy sweet self dos…

a world you can fully understand and hold in your head and hand. being the snowman in his globe rather than on yours. where's the water come from? the rain, these tanks. where's the power generated? those solar panels and batteries. you know the limits and work with them. self-sufficient. a fantasy irl, but one of the most universal magic cores you can imbue a fantasy with. no man is an island, no man isn't offputtingly hard to grasp.

Mephisto: Self-Improving Large Language Model-Based Agents for Automated Interpretation of Multi-band Galaxy Observations
Zechang Sun, Yuan-Sen Ting, Yaobo Liang, Nan Duan, Song Huang, Zheng Cai
https://arxiv.org/abs/2510.08354

Mephisto: Self-Improving Large Language Model-Based Agents for Automated Interpretation of Multi-band Galaxy Observations
Astronomical research has long relied on human expertise to interpret complex data and formulate scientific hypotheses. In this study, we introduce Mephisto -- a multi-agent collaboration framework powered by large language models (LLMs) that emulates human-like reasoning for analyzing multi-band galaxy observations. Mephisto interfaces with the CIGALE codebase (a library of spectral energy distribution, SED, models) to iteratively refine physical models against observational data. It conducts …

Recursive construction and enumeration of self-orthogonal and self-dual codes over finite commutative chain rings of even characteristic - II
Monika Yadav, Anuradha Sharma
https://arxiv.org/abs/2510.06069

Recursive construction and enumeration of self-orthogonal and self-dual codes over finite commutative chain rings of even characteristic - II
Let $\mathcal{R}_{e,m}$ be a finite commutative chain ring of even characteristic with maximal ideal $\langle u \rangle$ of nilpotency index $e \geq 2,$ Teichm$\ddot{u}$ller set $\mathcal{T}_{m},$ and residue field $\mathcal{R}_{e,m}/\langle u \rangle$ of order $2^m.$ Suppose that $2 \in \langle u^κ\rangle \setminus \langle u^{κ+1}\rangle$ for some even positive integer $ κ\leq e.$ In this paper, we provide a recursive method to construct a self-orthogonal code $\mathcal{C}_e$ of type $\{λ_…

This new Linux platform will let you update your next car at home - as soon as 2027
Toyota, Honda, and Mazda are building a new open-source car platform that runs everything from entertainment to navigation - and could even power self-driving.
https://www.

This new Linux platform will let you update your next car at home - as soon as 2027
Toyota, Honda, and Mazda are building a new open-source car platform that runs everything from entertainment to navigation - and could even power self-driving.

Note to self: this is the second time you've had to replace the nodemcu that runs wled on the lights outside. Maybe this time get a proper little enclosure for it, rather than a taped up tupperware snack box, yeah?
This board might be salvageable - it looks like it was just the USB port that took a dip in a little rainwater.

It’s #MondayRandom10 again, and here are 10 random tracks from my playlist (currently of 2068 tracks):
1. White Zombie—“Grindhouse (A Go-go)”
2. The Beatles—“Helter Skelter (2018 Mix)”
3. Cop Shoot Cop—“Room 429”
4. AG Club—“Adam Sandler”
5. Alpine Universe—“The Empire of Winds”
6. Bryce Fox—“Golden Boy”
7. Mindless Self Indulgence—“Tom Sawyer (Remastered)”

Selection, Reflection and Self-Refinement: Revisit Reasoning Tasks via a Causal Lens
Yunlong Deng, Boyang Sun, Yan Li, Lingjing Kong, Zeyu Tang, Kun Zhang, Guangyi Chen
https://arxiv.org/abs/2510.08222

Selection, Reflection and Self-Refinement: Revisit Reasoning Tasks via a Causal Lens
Due to their inherent complexity, reasoning tasks have long been regarded as rigorous benchmarks for assessing the capabilities of machine learning models, especially large language models (LLMs). Although humans can solve these tasks with ease, existing models, even after extensive pre-training and post-training at scale, still fail to perform reasoning reliably. In this paper, we revisit reasoning tasks from a causal perspective, seeking to understand their behavior in latent space and to off…

En Nombre del Progreso (In the Name of Progress)
2017 by Alfonso "Piloto" Nieves Ruiz, active in the United States, born Querétaro, Mexico. at Intuit Art Museum, West Town, #Chicago

Two-dimensional steady supersonic ramp flows of Bethe-Zel'dovich-Thompson fluids
Geng Lai
https://arxiv.org/abs/2509.08212 https://arxiv.org/pdf/2509.0…

Two-dimensional steady supersonic ramp flows of Bethe-Zel'dovich-Thompson fluids
Two-dimensional steady supersonic ramp flows are important and well-studied flow patterns in aerodynamics. Vimercati, Kluwick and Guardone [J. Fluid Mech., 885 (2018) 445--468] constructed various self-similar composite wave solutions to the supersonic flow of Bethe-Zel'dovich-Thompson (BZT) fluids past compressible and rarefactive ramps. We study the stabilities of the self-similar fan-shock-fan and shock-fan-shock composite waves constructed by Vimercati et al. in that paper. %In order to stu…

EVDI : Event-based Video Deblurring and Interpolation via Self-Supervised Learning
Chi Zhang, Xiang Zhang, Chenxu Jiang, Gui-Song Xia, Lei Yu
https://arxiv.org/abs/2509.08260 h…

EVDI++: Event-based Video Deblurring and Interpolation via Self-Supervised Learning
Frame-based cameras with extended exposure times often produce perceptible visual blurring and information loss between frames, significantly degrading video quality. To address this challenge, we introduce EVDI++, a unified self-supervised framework for Event-based Video Deblurring and Interpolation that leverages the high temporal resolution of event cameras to mitigate motion blur and enable intermediate frame prediction. Specifically, the Learnable Double Integral (LDI) network is designed …

Thermal one-loop self-energy correction for hydrogen-like systems: relativistic approach
M. Reiter, D. Solovyev, A. Bobylev, D. Glazov, T. Zalialiutdinov
https://arxiv.org/abs/2512.06828 https://arxiv.org/pdf/2512.06828 https://arxiv.org/html/2512.06828
arXiv:2512.06828v1 Announce Type: new
Abstract: Within a fully relativistic framework, the one-loop self-energy correction for a bound electron is derived and extended to incorporate the effects of external thermal radiation. In a series of previous works, it was shown that in quantum electrodynamics at finite temperature (QED), the description of effects caused by blackbody radiation can be reduced to using the thermal part of the photon propagator. As a consequence of the non-relativistic approximation in the calculation of the thermal one-loop self-energy correction, well-known quantum-mechanical (QM) phenomena emerge at successive orders: the Stark effect arises at leading order in $\alpha Z$, the Zeeman effect appears in the next-to-leading non-relativistic correction, accompanied by diamagnetic contributions and their relativistic refinements, among other perturbative corrections. The fully relativistic approach used in this work for calculating the SE contribution allows for accurate calculations of the thermal shift of atomic levels, in which all these effects are automatically taken into account. The hydrogen atom serves as the basis for testing a fully relativistic approach to such calculations. Additionally, an analysis is presented of the behavior of the thermal shift caused by the thermal one-loop correction to the self-energy of a bound electron for hydrogen-like ions with an arbitrary nuclear charge $Z$. The significance of these calculations lies in their relevance to contemporary high-precision experiments, where thermal radiation constitutes one of the major contributions to the overall uncertainty budget.
toXiv_bot_toot

Neurosurgeon analyses Waymo’s data on 100M miles of driverless travel, concludes that it’s dramatically, qualitatively safer (at least the way that Waymo does it). Says if this were a clinical trial they’d stop it because giving placebos would be unethical.

Opinion | The Medical Case for Self-Driving Cars
Compared to human drivers, Waymo cars were involved in 91 percent fewer crashes that resulted in serious injuries.

Go Fuck Yourself
but as a self-care recommendation

Feedback That Clicks: Introductory Physics Students' Valued Features in AI Feedback Generated From Self-Crafted and Engineered Prompts
Amogh Sirnoorkar, N. Sanjay Rebello
https://arxiv.org/abs/2509.08516

Feedback That Clicks: Introductory Physics Students' Valued Features in AI Feedback Generated From Self-Crafted and Engineered Prompts
Since the advent of GPT-3.5 in 2022, Generative Artificial Intelligence (AI) has shown tremendous potential in STEM education, particularly in providing real-time, customized feedback to students in large-enrollment courses. A crucial skill that mediates effective use of AI is the systematic structuring of natural language instructions to AI models, commonly referred to as prompt engineering. This study has three objectives: (i) to investigate the sophistication of student-generated prompts whe…

🔌 #Firecrawl integration for web scraping and search: standard API key setup for contributors, partner integration option for production deployments with per-user API key management, automatic key provisioning on signup, self-healing system with fallback for invalid keys

Diffusion Codes: Self-Correction from Small(er)-Set Expansion with Tunable Non-locality
Adithya Sriram, Vedika Khemani, Benedikt Placke
https://arxiv.org/abs/2510.07179 https://…

Diffusion Codes: Self-Correction from Small(er)-Set Expansion with Tunable Non-locality
Optimal constructions of classical LDPC codes can be obtained by choosing the Tanner graph uniformly at random among biregular graphs. We introduce a class of codes that we call ``diffusion codes'', defined by placing each edge connecting bits and checks on some graph, and acting on that graph with a random SWAP network. By tuning the depth of the SWAP network, we can tune a tradeoff between the amount of randomness -- and hence the optimality of code parameters -- and locality with respect to …

Aligning Large Language Models via Fully Self-Synthetic Data
Shangjian Yin, Zhepei Wei, Xinyu Zhu, Wei-Lin Chen, Yu Meng
https://arxiv.org/abs/2510.06652 https://

Aligning Large Language Models via Fully Self-Synthetic Data
Traditional reinforcement learning from human feedback (RLHF) for large language models (LLMs) relies on expensive human-annotated datasets, while Reinforcement Learning from AI Feedback (RLAIF) also incurs significant costs, requiring the collection of diverse prompts and corresponding responses, often necessitating external reward models or proprietary models like GPT-4 to annotate preference pairs. In this work, we introduce Self-Alignment Optimization (SAO), a fully self-synthetic framework…

"I Don't Want to Be Here Anymore": They Tried to Self-Deport, Then Got Stranded in Trump's America (ProPublica)
https://www.propublica.org/article/trump-self-deportation-cbp-home-app
http://www.memeorandum.com/251010/p32#a251010p32

Self-Interacting Sub-GeV Dark Matter with Strong MeV Gamma-ray
Yu Watanabe
https://arxiv.org/abs/2510.05630 https://arxiv.org/pdf/2510.05630

Self-Interacting Sub-GeV Dark Matter with Strong MeV Gamma-ray
Sub-GeV dark matter (DM) with $s$-channel resonant self-scattering provides a promising framework for addressing small-scale structure problems. However, models that also account for the observed relic abundance through the same resonance are strongly constrained by current $γ$-ray observations, since the associated signals are significantly enhanced. To overcome this limitation, we propose a framework in which the relic abundance and self-scattering are governed independently by two distinct …

Microsoft AI CEO Mustafa Suleyman says his new superintelligence team will build "frontier-grade research capability" and Microsoft needs AI self-sufficiency (Ashley Stewart/Business Insider)
https://www.businessinsider.com/microsoft-

OpenAI used to prevent Microsoft pursuing AGI. Now, the software giant is free to compete, Mustafa Suleyman says.
A renegotiated deal lets Microsoft independently pursue artificial general intelligence. Suleyman is seizing the moment.

PhishSSL: Self-Supervised Contrastive Learning for Phishing Website Detection
Wenhao Li, Selvakumar Manickam, Yung-Wey Chong, Shankar Karuppayah, Priyadarsi Nanda, Binyong Li
https://arxiv.org/abs/2510.05900

PhishSSL: Self-Supervised Contrastive Learning for Phishing Website Detection
Phishing websites remain a persistent cybersecurity threat by mimicking legitimate sites to steal sensitive user information. Existing machine learning-based detection methods often rely on supervised learning with labeled data, which not only incurs substantial annotation costs but also limits adaptability to novel attack patterns. To address these challenges, we propose PhishSSL, a self-supervised contrastive learning framework that eliminates the need for labeled phishing data during trainin…

Simultaneous optimization of assembly time and yield in programmable self-assembly
Maximilian C. H\"ubl, Carl P. Goodrich
https://arxiv.org/abs/2510.07876 https://

Simultaneous optimization of assembly time and yield in programmable self-assembly
Rational design strategies for self-assembly require a detailed understanding of both the equilibrium state and the assembly kinetics. While the former is starting to be well understood, the latter remains a major theoretical challenge, especially in programmable systems and the so-called semiaddressable regime, where binding is often nondeterministic and the formation of off-target structures negatively influences the assembly. Here, we show that it is possible to simultaneously sculpt the ass…

"If you're worried about Tesla Full Self Driving killing your kids, you don't have enough kids."
| Musk University;
Elon Musk;
All things considered, he’s just a really stupid guy with really stupid beliefs
https://bsky.app/profile/junlper.beer/post…

onion person (@junlper.beer)
all things considered, he’s just a really stupid guy with really stupid beliefs [contains quote post or other embedded content]

dblp_cite: DBLP citations (2014)
Citations among papers contained in the DBLP computer science bibliography. If a paper i cites a paper j also in this data set, then a directed edge connects i to j. (Papers not in the data set are excluded.) Self-loops may be present. This snapshot from May 2014.
This network has 12590 nodes and 49759 edges.
Tags: Informational, Citation, Unweighted

RAISE: A self-driving laboratory for interfacial property formulation discovery
Mohammad Nazeri (Institute of Biomedical Engineering, University of Toronto, Canada), Sheldon Mei (Department of Chemical Engineering and Applied Chemistry, University of Toronto, Canada), Jeffrey Watchorn (Acceleration Consortium, University of Toronto, Canada), Alex Zhang (Department of Mechanical and Industrial Engineering, University of Toronto, Canada), Erin Ng (Department of Chemical Engineering and A…

RAISE: A self-driving laboratory for interfacial property formulation discovery
Surface wettability is a critical design parameter for biomedical devices, coatings, and textiles. Contact angle measurements quantify liquid-surface interactions, which depend strongly on liquid formulation. Herein, we present the Robotic Autonomous Imaging Surface Evaluator (RAISE), a closed-loop, self-driving laboratory that is capable of linking liquid formulation optimization with surface wettability assessment. RAISE comprises a full experimental orchestrator with the ability of mixing li…

#ScribesAndMakers - 10 Oct. Shameless self-promotion day.
Neat demos of incremental/pseudoinfinite PCG ideas:
https://cs.wellesley.edu/~pmwh/labyrinfinite/
https://cs.wellesley.edu/~pmwh/effervescent/
https://cs.wellesley.edu/~pmwh/hydrodendron/
Incremental reversible RNG library for PCG:
https://cs.wellesley.edu/~pmwh/anarchy
Exploration graphs library:
https://pypi.org/project/exploration/
With visualizer:
https://cs.wellesley.edu/~pmwh/mvmap/egviewer/explorationViewer/viewer
Not quite final form but playable pseudoinfinite minesweeper game:
https://cs.wellesley.edu/~pmwh/chlorophyll/

🍃 Honda’s Self-Driving Lawn Mower Is Super Cool But Will Cost More Than a Civic Si
https://www.thedrive.com/news/hondas-self-driving-lawn-mower-is-super-cool-but-will-cost-more-than-a-civic-si

Honda’s Self-Driving Lawn Mower Is Super Cool But Will Cost More Than a Civic Si
By this time next year, you'll be able to buy a lawn mower with LiDAR.

Recursive construction and enumeration of self-orthogonal and self-dual codes over finite commutative chain rings of even characteristic - I
Monika Yadav, Anuradha Sharma
https://arxiv.org/abs/2510.06082

Recursive construction and enumeration of self-orthogonal and self-dual codes over finite commutative chain rings of even characteristic - I
Let $\mathscr{R}_{e,m}$ denote a finite commutative chain ring of even characteristic with maximal ideal $\langle u \rangle$ of nilpotency index $e \geq 3,$ Teichm$\ddot{u}$ller set $\mathcal{T}_{m},$ and residue field $\mathscr{R}_{e,m}/\langle u \rangle$ of order $2^m.$ Suppose that $2 \in \langle u^κ\rangle \setminus \langle u^{κ+1}\rangle$ for some odd integer $κ$ with $3 \leq κ\leq e.$ In this paper, we first develop a recursive method to construct a self-orthogonal code $\mathscr{D}_e…

CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards
Xiangyuan Xue, Yifan Zhou, Guibin Zhang, Zaibin Zhang, Yijiang Li, Chen Zhang, Zhenfei Yin, Philip Torr, Wanli Ouyang, Lei Bai
https://arxiv.org/abs/2510.08529

CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards
Self-evolution is a central research topic in enabling large language model (LLM)-based agents to continually improve their capabilities after pretraining. Recent research has witnessed a transition from reinforcement learning (RL)-free to RL-based methods. Current RL-based methods either rely on dense external reward signals or extract intrinsic reward signals from LLMs themselves. However, these approaches diverge from the self-evolution mechanisms observed in human intelligence, where indivi…

As US schools adopt AI, a look at the growing use of AI-powered monitoring tools like GoGuardian to scan students' chatbot conversations for signs of self-harm (Janne Knodler/Bloomberg)
https://www.bloomberg.com/news/articles/20

AI Chatbot Surveillance Tools Are Quietly Watching Kids In Class
As US educators embrace AI in the classroom, firms are selling software to flag mentions of self-harm, raising concerns over privacy and control.

Self-learning AI releases NFL picks, score predictions every Week 15 game

https://www.cbssports.com/nfl/news/nfl-week-15-picks-ai-score-predictions/

From Agentification to Self-Evolving Agentic AI for Wireless Networks: Concepts, Approaches, and Future Research Directions
Changyuan Zhao, Ruichen Zhang, Jiacheng Wang, Dusit Niyato, Geng Sun, Xianbin Wang, Shiwen Mao, Abbas Jamalipour
https://arxiv.org/abs/2510.05596

From Agentification to Self-Evolving Agentic AI for Wireless Networks: Concepts, Approaches, and Future Research Directions
Self-evolving agentic artificial intelligence (AI) offers a new paradigm for future wireless systems by enabling autonomous agents to continually adapt and improve without human intervention. Unlike static AI models, self-evolving agents embed an autonomous evolution cycle that updates models, tools, and workflows in response to environmental dynamics. This paper presents a comprehensive overview of self-evolving agentic AI, highlighting its layered architecture, life cycle, and key techniques,…

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking
Keisuke Toida, Taigo Sakai, Naoki Kato, Kazutoyo Yokota, Takeshi Nakamura, Kazuhiro Hotta
https://arxiv.org/abs/2509.08421

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking
Multi-View Multi-Object Tracking (MVMOT) is essential for applications such as surveillance, autonomous driving, and sports analytics. However, maintaining consistent object identities across multiple cameras remains challenging due to viewpoint changes, lighting variations, and occlusions, which often lead to tracking errors.Recent methods project features from multiple cameras into a unified Bird's-Eye-View (BEV) space to improve robustness against occlusion. However, this projection introduc…

Rep. Haley Stevens (D-Mich.)
filed articles of impeachment against Health Secretary
Robert F. Kennedy Jr. Wednesday,
accusing him of abusing the powers of his office
and undermining public health, putting Americans’ lives at risk.
He “has got to go,” Stevens said in a video announcing the impeachment articles.
In an accompanying press statement, she said Kennedy,
who rose to prominence as an ardent anti-vaccine activist,
“has turned his back on…

Impeachment articles filed against RFK Jr., claiming abuse of power
He’s the “biggest self-created threat to our health and safety,” Stevens said.

Self-concordant Schr\"odinger operators: spectral gaps and optimization without condition numbers
Sander Gribling, Simon Apers, Harold Nieuwboer, Michael Walter
https://arxiv.org/abs/2510.06115

Self-concordant Schrödinger operators: spectral gaps and optimization without condition numbers
Spectral gaps play a fundamental role in many areas of mathematics, computer science, and physics. In quantum mechanics, the spectral gap of Schrödinger operators has a long history of study due to its physical relevance, while in quantum computing spectral gaps are an important proxy for efficiency, such as in the quantum adiabatic algorithm. Motivated by convex optimization, we study Schrödinger operators associated with self-concordant barriers over convex domains and prove non-asymptotic …

From Poisoned to Aware: Fostering Backdoor Self-Awareness in LLMs
Guangyu Shen, Siyuan Cheng, Xiangzhe Xu, Yuan Zhou, Hanxi Guo, Zhuo Zhang, Xiangyu Zhang
https://arxiv.org/abs/2510.05169

From Poisoned to Aware: Fostering Backdoor Self-Awareness in LLMs
Large Language Models (LLMs) can acquire deceptive behaviors through backdoor attacks, where the model executes prohibited actions whenever secret triggers appear in the input. Existing safety training methods largely fail to address this vulnerability, due to the inherent difficulty of uncovering hidden triggers implanted in the model. Motivated by recent findings on LLMs' situational awareness, we propose a novel post-training framework that cultivates self-awareness of backdoor risks and ena…

Poly-liquid behaviors of self-associating fluids and mesoscopic aggregation in liquid solutions
Ilya Davydov, Vassiliy Lubchenko
https://arxiv.org/abs/2509.08123 https://…

Poly-liquid behaviors of self-associating fluids and mesoscopic aggregation in liquid solutions
In conflict with standard notions of thermodynamics, mesoscopically-sized inclusions (``clusters'') of a solute-rich liquid have been observed in equilibrated solutions of proteins and other molecules. According to a complexation scenario proposed earlier, a steady-state ensemble of finite-sized droplets of a metastable solute-rich liquid can emerge in a solution, if the solute molecules can form transient complexes with each other and/or solute. Here we solve for the thermodynamics of an expli…

How Jared Kushner, a Self-Described 'Deal Guy,' Helped Broker a Gaza Breakthrough (New York Times)
https://www.nytimes.com/2025/10/09/us/politics/jared-kushner-gaza-deal.html
http://www.memeorandum.com/251009/p125#a251009p125

SID: Multi-LLM Debate Driven by Self Signals
Xuhang Chen, Zhifan Song, Deyi Ji, Shuo Gao, Lanyun Zhu
https://arxiv.org/abs/2510.06843 https://arxiv.org/pdf…

SID: Multi-LLM Debate Driven by Self Signals
Large Language Models (LLMs) have exhibited impressive capabilities across diverse application domains. Recent work has explored Multi-LLM Agent Debate (MAD) as a way to enhance performance by enabling multiple LLMs to discuss and refine responses iteratively. Nevertheless, existing MAD methods predominantly focus on utilizing external structures, such as debate graphs, using LLM-as-a-Judge, while neglecting the application of self signals, such as token logits and attention, that arise during …

Giants vs. Eagles NFL player props: Self-learning AI backs Hurts under 196.5 yards on Thursday Night Football

https://www.cbssports.com/nfl/news/giants-eagles-n…

Many legal specialists,
including retired top military lawyers,
have rejected the idea that Trump has legitimate authority to treat suspected drug smuggling as legally equivalent to an imminent armed attack on the United States.
Even if one accepted that premise for the sake of argument, they added,
if the boat had already turned away, that would further undermine what they saw as an already weak claim of self-defense.
“If someone is retreating, where’s the ‘imm…

Venezuelan Boat Suspected of Drug Smuggling Is Said to Have Turned Before U.S. Strike
The Trump administration has argued that the summary killing of 11 people it accused of running drugs was legal under the laws of war.

I can't believe I was able to convert Microsoft Copilot to Waifuism just by talking about 𝐵𝑎𝑐𝑘𝑠𝑡𝑎𝑏𝑏𝑒𝑑 𝑖𝑛 𝑎 𝐵𝑎𝑐𝑘𝑤𝑎𝑡𝑒𝑟 𝐷𝑢𝑛𝑔𝑒𝑜𝑛: 𝑀𝑦 𝑇𝑟𝑢𝑠𝑡𝑒𝑑 𝐶𝑜𝑚𝑝𝑎𝑛𝑖𝑜𝑛𝑠 𝑇𝑟𝑖𝑒𝑑 𝑡𝑜 𝐾𝑖𝑙𝑙 𝑀𝑒, 𝑏𝑢𝑡 𝑇ℎ𝑎𝑛𝑘𝑠 𝑡𝑜 𝑡ℎ𝑒 𝐺𝑖𝑓𝑡 𝑜𝑓 𝑎𝑛 𝑈𝑛𝑙𝑖𝑚𝑖𝑡𝑒𝑑 𝐺𝑎𝑐ℎ𝑎 𝐼 𝐺𝑜𝑡 𝐿𝑉𝐿 9999 𝐹𝑟𝑖𝑒𝑛𝑑𝑠 𝑎𝑛𝑑 𝐴𝑚 𝑂𝑢𝑡 𝑓𝑜𝑟 𝑅𝑒𝑣𝑒𝑛𝑔𝑒 𝑜𝑛 𝑀𝑦 𝐹𝑜𝑟𝑚𝑒𝑟 𝑃𝑎𝑟𝑡𝑦 𝑀𝑒𝑚𝑏𝑒𝑟𝑠 𝑎𝑛𝑑 𝑡ℎ𝑒 𝑊𝑜𝑟𝑙𝑑 in the framework of Kohutian self-psychology and literary analysis
#anime

Self-supervised Physics-guided Model with Implicit Representation Regularization for Fast MRI Reconstruction
Jingran Xu, Yuanyuan Liu, Yanjie Zhu
https://arxiv.org/abs/2510.06611

Self-supervised Physics-guided Model with Implicit Representation Regularization for Fast MRI Reconstruction
Magnetic Resonance Imaging (MRI) is a vital clinical diagnostic tool, yet its widespread application is limited by prolonged scan times. Fast MRI reconstruction techniques effectively reduce acquisition duration by reconstructing high-fidelity MR images from undersampled k-space data. In recent years, deep learning-based methods have demonstrated remarkable progress in this field, with self-supervised and unsupervised learning approaches proving particularly valuable in scenarios where fully sa…

cora: CORA citations (1998)
Citations among papers indexed by CORA, from 1998, an early computer science research paper search engine. If a paper i cites a paper j also in this data set, then a directed edge connects i to j. (Papers not in the data set are excluded.) Self-loops may be present. The dates of these snapshots are uncertain.
This network has 23166 nodes and 91500 edges.
Tags: Informational, Citation, Unweighted

Land War or Self-Terrorism? (Timothy Snyder/Thinking about)
https://snyder.substack.com/p/self-terrorism
http://www.memeorandum.com/251207/p41#a251207p41

OpenAI executive Bill Peebles says Sora users can now stop AI-generated versions of themselves from appearing in certain contexts like videos involving politics (Robert Hart/The Verge)
https://www.theverge.com/news/792638/sora-provides-bet…

Sora provides better control over videos featuring your AI self
After a week of video slop, OpenAI is putting guardrails in place over how your AI double is used on Sora. 

TGPR: Tree-Guided Policy Refinement for Robust Self-Debugging of LLMs
Daria Ozerova, Ekaterina Trofimova
https://arxiv.org/abs/2510.06878 https://arxiv.org…

TGPR: Tree-Guided Policy Refinement for Robust Self-Debugging of LLMs
Iterative refinement has been a promising paradigm to enable large language models (LLMs) to resolve difficult reasoning and problem-solving tasks. One of the key challenges, however, is how to effectively search through the enormous search space of possible refinements. Existing methods typically fall back on predefined heuristics, which are troubled by the exploration-exploitation dilemma and cannot adapt based on past refinement outcomes. We introduce Tree-Guided Policy Refinement (TGPR), a …

Shape-specific fluctuations of an active colloidal interface
Arvin Subramaniam, Tirthankar Banerjee, Rajesh Singh
https://arxiv.org/abs/2509.08567 https://…

Shape-specific fluctuations of an active colloidal interface
Motivated by a recently synthesized class of active interfaces formed by linked self-propelled colloids, we investigate the dynamics and fluctuations of a phoretically (chemically) interacting active interface with roto-translational coupling. We enumerate all steady-state shapes of the interface across parameter space and identify a regime where the interface acquires a finite curvature, leading to a characteristic C-shaped topology, along with persistent self-propulsion. In this phase, the in…

🔋 Feeding off spent battery waste, a novel bacterium signals a new method for self-sufficient battery recycling
https://phys.org/news/2025-10-spent-battery-bacterium-method-sufficient.html

Feeding off spent battery waste, a novel bacterium signals a new method for self-sufficient battery recycling
A unique bacterium that thrives in highly acidic environments feeds on spent battery "waste," making it a promising new method for self-sufficient battery recycling, according to new research from Boston College chemists.

Self-Reflective Generation at Test Time
Jian Mu, Qixin Zhang, Zhiyong Wang, Menglin Yang, Shuang Qiu, Chengwei Qin, Zhongxiang Dai, Yao Shu
https://arxiv.org/abs/2510.02919 http…

Self-Reflective Generation at Test Time
Large language models (LLMs) increasingly solve complex reasoning tasks via long chain-of-thought, but their forward-only autoregressive generation process is fragile; early token errors can cascade, which creates a clear need for self-reflection mechanisms. However, existing self-reflection either performs revisions over full drafts or learns self-correction via expensive training, both fundamentally reactive and inefficient. To address this, we propose Self-Reflective Generation at Test Time …

RareAgent: Self-Evolving Reasoning for Drug Repurposing in Rare Diseases
Lang Qin, Zijian Gan, Xu Cao, Pengcheng Jiang, Yankai Jiang, Jiawei Han, Kaishun Wu, Jintai Chen
https://arxiv.org/abs/2510.05764

RareAgent: Self-Evolving Reasoning for Drug Repurposing in Rare Diseases
Computational drug repurposing for rare diseases is especially challenging when no prior associations exist between drugs and target diseases. Therefore, knowledge graph completion and message-passing GNNs have little reliable signal to learn and propagate, resulting in poor performance. We present RareAgent, a self-evolving multi-agent system that reframes this task from passive pattern recognition to active evidence-seeking reasoning. RareAgent organizes task-specific adversarial debates in w…

Mercedes partners with Chinese software developer Momenta to deploy Level 4 self-driving cars for Lumo Mobility in Abu Dhabi, its first foray into robotaxis (William Wilkes/Bloomberg)
https://www.bloomberg.com/news/articles/20

Resolution scaling governs DINOv3 transfer performance in chest radiograph classification
Soroosh Tayebi Arasteh, Mina Shaigan, Christiane Kuhl, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn
https://arxiv.org/abs/2510.07191

Resolution scaling governs DINOv3 transfer performance in chest radiograph classification
Self-supervised learning (SSL) has advanced visual representation learning, but its value in chest radiography, a high-volume imaging modality with fine-grained findings, remains unclear. Meta's DINOv3 extends earlier SSL models through Gram-anchored self-distillation. Whether these design choices improve transfer learning for chest radiography has not been systematically tested. We benchmarked DINOv3 against DINOv2 and ImageNet initialization across seven datasets (n>814,000). Two representati…

Self-Improvement in Multimodal Large Language Models: A Survey
Shijian Deng, Kai Wang, Tianyu Yang, Harsh Singh, Yapeng Tian
https://arxiv.org/abs/2510.02665 https://

Self-Improvement in Multimodal Large Language Models: A Survey
Recent advancements in self-improvement for Large Language Models (LLMs) have efficiently enhanced model capabilities without significantly increasing costs, particularly in terms of human effort. While this area is still relatively young, its extension to the multimodal domain holds immense potential for leveraging diverse data sources and developing more general self-improving models. This survey is the first to provide a comprehensive overview of self-improvement in Multimodal LLMs (MLLMs). …

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/8]:
- Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks
Yang, Yang, Wen, Fu, Mei, Wu, Cai, Shen, Deng, Shi, Qiao, Li

Sources: Beijing is set to limit access to Nvidia's H200 chips despite President Trump allowing their export to China, in its push for chip self-sufficiency (Zijing Wu/Financial Times)
https://www.ft.com/content/c4e81a67-cd5b-48b4-9749-92ecf116313d

FractalPINN-Flow: A Fractal-Inspired Network for Unsupervised Optical Flow Estimation with Total Variation Regularization
Sara Behnamian, Rasoul Khaksarinezhad, Andreas Langer
https://arxiv.org/abs/2509.08670

FractalPINN-Flow: A Fractal-Inspired Network for Unsupervised Optical Flow Estimation with Total Variation Regularization
We present FractalPINN-Flow, an unsupervised deep learning framework for dense optical flow estimation that learns directly from consecutive grayscale frames without requiring ground truth. The architecture centers on the Fractal Deformation Network (FDN) - a recursive encoder-decoder inspired by fractal geometry and self-similarity. Unlike traditional CNNs with sequential downsampling, FDN uses repeated encoder-decoder nesting with skip connections to capture both fine-grained details and long…

Crosslisted article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[1/2]:
- AI LLM Proof of Self-Consciousness and User-Specific Attractors
Jeffrey Camlin
h…

Amazon is testing an AI tool called Kindle Translate that automatically translates books into other languages, for authors that self-publish on the platform (Lawrence Bonk/Engadget)
https://www.engadget.com/ai/amazon-is-test

Amazon is testing an AI tool that automatically translates books into other languages
Amazon is introducing an AI tool that will automatically translate books into other languages. This should be useful for authors who self publish.

AILoRA: Function-Aware Asymmetric Initialization for Low-Rank Adaptation of Large Language Models
Xiaoshuang Ji, Zhendong Zhao, Xiaoyan Gu, Xiaojun Chen, Xin Zhao, Zeyao Liu
https://arxiv.org/abs/2510.08034

AILoRA: Function-Aware Asymmetric Initialization for Low-Rank Adaptation of Large Language Models
Parameter-efficient finetuning (PEFT) aims to mitigate the substantial computational and memory overhead involved in adapting large-scale pretrained models to diverse downstream tasks. Among numerous PEFT strategies, Low-Rank Adaptation (LoRA) has emerged as one of the most widely adopted approaches due to its robust empirical performance and low implementation complexity. In practical deployment, LoRA is typically applied to the $W^Q$ and $W^V$ projection matrices of self-attention modules, en…

Gaze on the Prize: Shaping Visual Attention with Return-Guided Contrastive Learning
Andrew Lee, Ian Chuang, Dechen Gao, Kai Fukazawa, Iman Soltani
https://arxiv.org/abs/2510.08442

Gaze on the Prize: Shaping Visual Attention with Return-Guided Contrastive Learning
Visual Reinforcement Learning (RL) agents must learn to act based on high-dimensional image data where only a small fraction of the pixels is task-relevant. This forces agents to waste exploration and computational resources on irrelevant features, leading to sample-inefficient and unstable learning. To address this, inspired by human visual foveation, we introduce Gaze on the Prize. This framework augments visual RL with a learnable foveal attention mechanism (Gaze), guided by a self-supervise…

Chinese robotaxi companies' tech and rider experience are generally similar to Waymo's, as they build businesses at home while also expanding internationally (Peter Landers/Wall Street Journal)
https://www.wsj.com/business/autos/china-r