
2025-06-04 13:47:39
This https://arxiv.org/abs/2409.14156 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…
This https://arxiv.org/abs/2409.14156 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…
#GiftLink 'The Chinese can’t believe their luck: that the U.S. president and his party have decided to engage in one of the greatest acts of strategic self-harm imaginable. They have passed a giant bill that deliberately undermines America’s ability to generate electricity through renewables — solar, battery and wind power in particular.'
Opinion | How Trump’s ‘Big, Beautiful Bill’ Will Make China Great Again - The New York Times
https://www.nytimes.com/2025/07/03/opinion/trump-bill-clean-energy-china.html?unlocked_article_code=1.UE8.vD6W.NJ7slHNHu3dO&smid=url-share
Cosmic structure from the path integral of classical mechanics and its comparison to standard perturbation theory
Marvin Sipp, Hannes Heisler, Matthias Bartelmann
https://arxiv.org/abs/2507.02692
Zero-Energy RIS-Assisted Communications With Noise Modulation and Interference-Based Energy Harvesting
Ahmad Massud Tota Khel, Aissa Ikhlef, Zhiguo Ding, Hongjian Sun
https://arxiv.org/abs/2506.02625
Nonlinear Optimal Control of DC Microgrids with Safety and Stability Guarantees
Muratkhan Abdirash, Xiaofan Cui
https://arxiv.org/abs/2506.03454 https://…
“This is the new model,”
the secretary of commerce, Howard Lutnick, said in an interview with CNBC last month,
“where you work in these kind of plants for the rest of your life and your kids work here and your grandkids work here.”
The reality is that this particular campaign
— this effort to de-skill the working population of the United States
— is more likely to immiserate the country and impoverish its residents than it is to inaugurate a golden age of prosp…
This https://arxiv.org/abs/2411.18065 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAR_…
Overly academic/distanced ethical discussions
Had a weird interaction with @/brainwane@social.coop just now. I misinterpreted one of their posts quoting someone else and I think the combination of that plus an interaction pattern where I'd assume their stance on something and respond critically to that ended up with me getting blocked. I don't have hard feelings exactly, and this post is only partly about this particular person, but I noticed something interesting by the end of the conversation that had been bothering me. They repeatedly criticized me for assuming what their position was, but never actually stated their position. They didn't say: "I'm bothered you assumed my position was X, it's actually Y." They just said "I'm bothered you assumed my position was X, please don't assume my position!" I get that it's annoying to have people respond to a straw man version of your argument, but when I in response asked some direct questions about what their position was, they gave some non-answers and then blocked me. It's entirely possible it's a coincidence, and they just happened to run out of patience on that iteration, but it makes me take their critique of my interactions a bit less seriously. I suspect that they just didn't want to hear what I was saying, while at the same time they wanted to feel as if they were someone who values public critique and open discussion of tricky issues (if anyone reading this post also followed our interaction and has a different opinion of my behavior, I'd be glad to hear it; it's possible In effectively being an asshole here and it would be useful to hear that if so).
In any case, the fact that at the end of the entire discussion, I'm realizing I still don't actually know their position on whether they think the AI use case in question is worthwhile feels odd. They praised the system on several occasions, albeit noting some drawbacks while doing so. They said that the system was possibly changing their anti-AI stance, but then got mad at me for assuming this meant that they thought this use-case was justified. Maybe they just haven't made up their mind yet but didn't want to say that?
Interestingly, in one of their own blog posts that got linked in the discussion, they discuss a different AI system, and despite listing a bunch of concrete harms, conclude that it's okay to use it. That's fine; I don't think *every* use of AI is wrong on balance, but what bothered me was that their post dismissed a number of real ethical issues by saying essentially "I haven't seen calls for a boycott over this issue, so it's not a reason to stop use." That's an extremely socially conformist version of ethics that doesn't sit well with me. The discussion also ended up linking this post: https://chelseatroy.com/2024/08/28/does-ai-benefit-the-world/ which bothered me in a related way. In it, Troy describes classroom teaching techniques for introducing and helping students explore the ethics of AI, and they seem mostly great. They avoid prescribing any particular correct stance, which is important when teaching given the power relationship, and they help students understand the limitations of their perspectives regarding global impacts, which is great. But the overall conclusion of the post is that "nobody is qualified to really judge global impacts, so we should focus on ways to improve outcomes instead of trying to judge them." This bothers me because we actually do have a responsibility to make decisive ethical judgments despite limitations of our perspectives. If we never commit to any ethical judgment against a technology because we think our perspective is too limited to know the true impacts (which I'll concede it invariably is) then we'll have to accept every technology without objection, limiting ourselves to trying to improve their impacts without opposing them. Given who currently controls most of the resources that go into exploration for new technologies, this stance is too permissive. Perhaps if our objection to a technology was absolute and instantly effective, I'd buy the argument that objecting without a deep global view of the long-term risks is dangerous. As things stand, I think that objecting to the development/use of certain technologies in certain contexts is necessary, and although there's a lot of uncertainly, I expect strongly enough that the overall outcomes of objection will be positive that I think it's a good thing to do.
The deeper point here I guess is that this kind of "things are too complicated, let's have a nuanced discussion where we don't come to any conclusions because we see a lot of unknowns along with definite harms" really bothers me.
Single-exponential bounds for diagonals of D-finite power series
Shaoshi Chen, Fr\'ed\'eric Chyzak, Pingchuan Ma, Chaochao Zhu
https://arxiv.org/abs/2506.22011
On the error term of the fourth moment of the Riemann zeta-function
Neea Paloj\"arvi, Tim Trudgian
https://arxiv.org/abs/2506.16766 https://
Mass Determination of Supermassive Black Holes Governing Evolution of Radio Emitters
Kimitake Hayasaki, Ryo Yamazaki
https://arxiv.org/abs/2507.23161 https://
A note on Automatic Baire property
Ludwig Staiger
https://arxiv.org/abs/2505.18626 https://arxiv.org/pdf/2505.18626
The effect of a new power interconnector on energy prices volatility: the case of Sicily
Francesco Lisi, Pierdomenico Duttilo, Marina Bertolini
https://arxiv.org/abs/2507.23505 …
ADI / Linear Tech LTC4367 power protection controller, from one of my failed 48V IBC designs that blew up from inductive spikes when I applied power.
I didn't do extensive circuit analysis but it looks like one particular net is blown out in several places. Guessing this is the same pin that cratered on the package.
Besides the damage, some other features of interest:
* Colored fringes on large top metal features. Maybe spin-on glass top metal or something.
* The LT…
Multi-field TDiff theories: the mixed regime case
Antonio L. Maroto, Prado Mart\'in-Moruno, Diego Tessainer
https://arxiv.org/abs/2507.16616 https://…
Endoreversible Stirling cycles: plasma engines at maximal power
Gregory Behrendt, Sebastian Deffner
https://arxiv.org/abs/2506.16303 https://
Marked multi-colorings and marked chromatic polynomials of hypergraphs and subspace arrangements
Chaithra P, Shushma Rani, R. Venkatesh
https://arxiv.org/abs/2507.20847 https://…
On a fractional semilinear Neumann problem arising in Chemotaxis
Eleonora Cinti, Matteo Talluri
https://arxiv.org/abs/2507.12181 https://
Full Convergence of Regularized Methods for Unconstrained Optimization
Andrea Cristofari
https://arxiv.org/abs/2506.11971 https://arx…
On the exterior power structure of the cohomology groups for the general hypergeometric integral
Hironobu Kimura
https://arxiv.org/abs/2506.09382 https://
When Detection Fails: The Power of Fine-Tuned Models to Generate Human-Like Social Media Text
Hillary Dawkins, Kathleen C. Fraser, Svetlana Kiritchenko
https://arxiv.org/abs/2506.09975
Updated constraints on the primordial power spectrum at sub-Mpc scales
Torsten Bringmann, Djuna Croon, Sergio Sevillano Mu\~noz
https://arxiv.org/abs/2506.20704
Convergence of Normal Form Power Series for Infinite-Dimensional Lie Pseudo-Group Actions
Peter J. Olver, Masoud Sabzevari, Francis Valiquette
https://arxiv.org/abs/2506.08869
Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs
Ziyue Li, Yang Li, Tianyi Zhou
https://arxiv.org/abs/2507.07996 https://arxiv.org/pdf/2507.07996 https://arxiv.org/html/2507.07996
arXiv:2507.07996v1 Announce Type: new
Abstract: Can a pretrained neural network adapt its architecture to different inputs without any finetuning? Do we need all layers for simple tasks, and are they adequate for challenging tasks? We found that the layers of a pretrained large language model (LLM) can be manipulated as separate modules to build a better and even shallower model customized for each test sample. In particular, each layer from the pretrained model can be skipped/pruned or repeated multiple times as recurrent neural networks (RNN), and stacked with others in arbitrary orders, yielding a chain-of-layers (CoLa) per sample. This compositional space greatly expands the scope of existing works on looped/recurrent pretrained modules, layer pruning, or early-exit networks. We develop a Monte Carlo Tree Search (MCTS) protocol to explore and identify the optimal CoLa for each sample from math and commonsense reasoning benchmarks. Compared to a static model of a fixed depth, CoLa allows shortcut paths (fast thinking), recurrence of the same layer(s) (slow thinking), and combining both, offering more flexible, dynamic architectures for different inputs. We conduct an extensive analysis of the MCTS-optimized CoLa, which leads to two key findings: (1) For >75% of samples with correct predictions by the original LLM, we can find shorter CoLa, suggesting a large space for improving inference efficiency; (2) For >60% of samples with originally incorrect predictions, we can identify CoLa achieving correct predictions, suggesting a large space of performance enhancement. Our results highlight the shortcomings of using a fixed architecture of pre-trained LLMs for inference on different samples and pave the way to unlock the generalization power of test-time depth adaptation.
toXiv_bot_toot
Qualitative Assessment of Low Power Wide Area Network Protocols and their Security Aspect
Wesley dos Reis Bezerra, Lais Machado Bezerra, Carlos Becker Westphal
https://arxiv.org/abs/2507.08677
Associated primes of the second power of closed neighborhood ideals of graphs
Ha Thi Thu Hien, Thanh Vu
https://arxiv.org/abs/2507.08777 https://
This https://arxiv.org/abs/2503.15790 has been replaced.
initial toot: https://mastoxiv.page/@arX…
Lorentz invariant materials and metamaterials
Jon Lasa-Alonso, Gabriel Molina-Terriza
https://arxiv.org/abs/2506.20784 https://arxiv.…
New upper bounds on the order of mixed cages of girth 6
Gabriela Araujo-Pardo, Lydia Mirabel Mendoza-Cadena
https://arxiv.org/abs/2506.20003 https://
Large scale structure constraints and matter power spectrum in $f (Q,\mathcal{L}_{m})$ gravity
Praveen Kumar Dhankar, Albert Munyeshyaka, Saddam Hussain, Tom Mutabazi
https://arxiv.org/abs/2507.10631
Voter model on heterogeneous directed networks
Luca Avena, Federico Capannoli, Rajat Subhra Hazra, Diego Garlaschelli
https://arxiv.org/abs/2506.12169 http…
A Note on the Walsh Spectrum of Power Residue S-Boxes
Matthias Johann Steiner
https://arxiv.org/abs/2507.06808 https://arxiv.org/pdf/…
SPICEAssistant: LLM using SPICE Simulation Tools for Schematic Design of Switched-Mode Power Supplies
Simon Nau, Jan Krummenauer, Andr\'e Zimmermann
https://arxiv.org/abs/2507.10639
High-efficiency WSe$_2$ photovoltaics enabled by ultra-clean van der Waals contacts
Kamal Kumar Paul, Cullen Chosy, Soumya Sarkar, Zhuangnan Li, Han Yan, Ye Wang, Leyi Loh, Lixin Liu, Hu Young Jeong, Samuel D. Stranks, Yan Wang, Manish Chhowalla
https://arxiv.org/abs/2506.14733
Robustness of complexity estimation in event-driven signals against accuracy of event detection method
Marco Cafiso, Paolo Paradisi
https://arxiv.org/abs/2506.06168
This https://arxiv.org/abs/2410.05132 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…
Evaluating Undergrounding Decisions for Wildfire Ignition Risk Mitigation across Multiple Hazards
Ryan Piansky, Daniel K. Molzahn, Nicole D. Jackson, J. Kyle Skolfield
https://arxiv.org/abs/2506.06575
A distributed system perspective on Backscatter systems: A review
Tonghuan Xiao, Jiecheng Zhou
https://arxiv.org/abs/2506.04873 https://
Shot noise in clustering power spectra
Nicolas Tessore, Alex Hall
https://arxiv.org/abs/2507.03749 https://arxiv.org/pdf/2507.03749…
A Fragmentation-Aware Adaptive Bilevel Search Framework for Service Mapping in Computing Power Networks
Jingzhao Xie, Zhenglian Li, Gang Sun, Long Luo, Hongfang Yu, Dusit Niyato
https://arxiv.org/abs/2507.07535