Just finished "Snake-Eater" by T. Kingfisher (@…). I'd read and thoroughly enjoyed her "Digger" webcomic, and found this book to be quite enjoyable too. There's something indelibly heartwarming about an anxious character growing to feel more comfortable and self-assured, especially when escaping and unlearning emotional abuse, and I'm certainly a sucker for heartwarming characters. I like the way that Kingfisher has taken time to talk about and try to avoid cultural appropriation, in a way that I feel is reasonable, although of course I'm not an expert judge of the nuances and I'm biased by having liked the book, so I'm willing to be told things are complicated in that regard it others judge differently. I also really liked the window dressing of a vaguely solarpunk future society, in a book that's not at all about that society. I'd love to see Kingfisher write something focused on how that society could work (or maybe she already has?).
Probably going to look up some of Kingfisher's fantasy books soon.
#AmReading #ReadingNow #Bookstodon
Intelligence?
No, just the very great capacity to iteratively do tasks set by human operators.
"..the Hugging Face incident demonstrates the lack of any real agency even in the most sophisticated currently existing AI "agents", although this does not make the incident less concerning or important."
The Hugging Face Incident and the Future of Work - Social Europe
Physical Properties of 6.7 Million Galaxies from the DESI Bright Galaxy Survey: Spectral Fitting and Systematic Tests with Mock Spectra
Niu Li, Hu Zou, Jinfu Gou, Weijian Guo, Wenxiong L, Haoming Song, Jipeng Sui, Xi Tan, Yunao Xiao, Jingyi Zhang
https://arxiv.org/abs/2607.19162 https://arxiv.org/pdf/2607.19162 https://arxiv.org/html/2607.19162
arXiv:2607.19162v1 Announce Type: new
Abstract: We present a comprehensive analysis of the physical properties of galaxies in the Dark Energy Spectroscopic Instrument (DESI) Data Release 1 (DR1) Bright Galaxy Survey (BGS), based on full spectral fitting of $\sim 6.7$ million galaxy spectra. Using a customized spectral fitting pipeline, we derive key physical parameters including stellar mass, stellar velocity dispersion, stellar population age, dust attenuation, and emission-line properties. To quantify the reliability and systematic uncertainties of our measurements, we construct a large set of mock spectra that closely reproduce the observed properties of DESI data, including realistic noise and spectral features. By comparing the recovered parameters with the known inputs, we assess the performance of the spectral fitting as a function of stellar continuum signal-to-noise ratio (S/N, defined as the ratio of the median continuum flux to its associated error) and redshift. We find that stellar masses can be robustly recovered with negligible bias for spectra with $\mathrm{S/N} \gtrsim 5$, while low-S/N spectra ($\mathrm{S/N} \lesssim 5$) show a mild systematic overestimation of $\sim 0.1$ dex and increased scatter. Similar trends are observed for stellar population parameters, while emission-line fluxes are recovered with high accuracy and minimal bias. We further validate our stellar mass estimates by comparison with independent measurements from photometric spectral energy distribution fitting, finding good overall consistency within the expected systematic uncertainties. The value-added catalog presented in this work enables a wide range of statistical studies of galaxy evolution with DESI, and provides a foundation for future analyses.
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Statement from the Premier of Nova Scotia Tim Houston on negotiations. From @… 🇨🇦
PREMIER’S OFFICE–Statement on U.S. Tariffs
Canada’s negotiating team tried to secure a deal for Canadians, which I’ve forcefully and vocally supported.
I continue to stand ready to support and work with the Prime Minister. We will work together to do everything possible to protect the massive number of Nova Scotian and Canadian families, workers and businesses that have now been added to the large list of those directly impacted by President Trump’s devastating tariffs.
It’s clear that we cannot trust or rely on the United States as we once did. This reality must make us more determined than ever to make Nova Scotia and Canada stronger. For Nova Scotia that means developing our own energy, developing our own natural resources and finding new markets for Nova Scotian goods and services.
We have tremendous opportunities and I am fully committed to seizing them.
Building up Nova Scotia is the only true path to protecting our future. Potential doesn’t build hospitals and roads. Turning potential into reality does.
This is our time to find the common ground necessary to build. This is how we make ourselves stronger and protect our future.
Let’s make it happen.
Let’s go Team Canada!
OK, I guess I wasn't done after all.
Much of the opining about developer backlash to LLMs falls into two loose theoretical categories:
(1) Labor problem: developers now experience employment threat, loss of job security, layoffs, new levels of worry about the future
(2) Identity problem: developers used to feel special because generating code was placed on a cultural pedestal (sign of a special third brain lobe or whatever), that perceived specialness was a pillar of our personal identity, and now our egos are bruised because machines can do it and we don’t feel special anymore
While there’s doubtless truth to both of those in some / many cases, I posit a third theory:
(3) Purpose problem: contrary to popular belief, developers actually care quite a lot about the people who use our software and we derive a sense of purpose and meaning from doing what we believe to be good work; the current environment undermines that, not just LLMs but LLMs as part of a broader vortex of enshittification, and our world is effectively saying “everything you cared about doesn't matter, you can't hope to fight to make it matter, and you are stupid for caring”
I think there's evidence for that last theory in the kinds of despair you hear from developers: not just anxiety about paying the bills, not just angry feather-puffing, but a kind of existential despair that comes from the unraveling of one’s internal sense of purpose and meaning.
4/3
This post is not a provocation so much as a report-back from the fragmented thinking that has bubbled up around my research
and the thousand-odd hours I've put into information mutual aid work over the course of this year.
And it’s also a look forward
—not at our future, which I refuse to try to predict,
but at some paths I think we might want to explore.
-- Erin Kissane
@…
"If #AI can do all the things we are promised it will do — hardly a given, but stick with me — then we are left with a question: What does using it accomplish? If you do not have to pay attention or do work to meet your goal, does your goal mean anything at all? In some ways, that throws us back to some of the oldest and most profound questions our species has encountered: What does it mean to l…
In the pre-AI days, there was a Stanley-conjecture (on covering monoids) which eventually turned out false and then Stanley quibbed to the authors, that he liked their work but he asked them to withdraw their paper and post a proof instead.
Will people post conjectures in the future? I think the role of a conjecture is to trigger human attention to a problem so that we get more understanding of the whole area. So maybe a “cheap” counterexample was always a boring resolution of a conjecture.
Over the past few years the labor movement has taken a series of body blows which have sapped its strength and have put it on the defensive.
These attacks originate in the White House and trickle down to the lowest regional office of the National Labor Relations Board.
They begin in corporate offices of companies like Louisiana-Pacific and Phelps Dodge [that was the enemy that month] and work their way down to even the smallest employers.
We are concerned about the future …
Track Changes On Podcast
Musings on the future of work, corporate accountability and burnout from an office escapee who thinks we can and should expect better...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/track-changes-on/
#PodcastRecommendation:
Ezra Klein talking with Bryan Stevenson.
Heart wrenching, heart warming, very moving with the core message: If we are able to confront ourselves with our history, we are able to connect with hope, love and what is precious to us in order to find a good, peaceful future.
Grand Staircase-Escalante’s stunning slot canyons and dramatic vistas make it instantly recognizable.
Bears Ears’ red-rock canyons house culturally significant petroglyphs and ancient dwellings that have endured for centuries.
Right now they are facing unprecedented attacks–again.
Donald Trump just took executive action to virtually eliminate both of these iconic Utah national monuments,
slashing their boundaries by more than 90%.
Vital wildlife habitats,
Verification and Performance Assessment of NuDEAL, a GPU-Accelerated Deterministic Transport Framework on Unstructured Meshes
Kyung Min Kim, Jaeuk Im, Han Gyu Lee, Yeon Sang Jung
https://arxiv.org/abs/2607.01591 https://arxiv.org/pdf/2607.01591 https://arxiv.org/html/2607.01591
arXiv:2607.01591v1 Announce Type: new
Abstract: High-fidelity neutronic analyses of advanced reactors require deterministic transport solvers capable of handling complex unstructured geometries while maintaining computational efficiency. This work presents the development and verification of three GPU-accelerated deterministic solvers implemented within a unified framework, Neutronics using Deterministic Finite Element Algorithm (NuDEAL): the planar Method of Characteristics coupled with the Hybrid Finite Element Method (MOC/HFEM), the Discontinuous Galerkin Method of Characteristics (DGMOC), and the Discontinuous Finite Element discrete ordinate method (DFEM-SN). These solvers provide complementary capabilities for consistently solving the multigroup transport equation and can be selectively employed to balance accuracy, computational cost, and memory requirements for a given problem. All methods emphasize efficient GPU execution by leveraging memory alignment, compressed-flux storage, and sequential azimuthal sweeps. The solvers are validated on the C5G7 benchmark and applied to advanced reactor problems, including the ABTR, Empire microreactor, and MSRE. DFEM-SN achieved the highest accuracy, with eigenvalue errors below 50 pcm, while MOC/HFEM and DGMOC provided superior efficiency, with single-GPU runtimes comparable to those of large CPU clusters. The results demonstrate that deterministic GPU solvers on unstructured meshes can deliver both accuracy and scalability, enabling practical whole-core simulations for heterogeneous advanced reactors. The unified NuDEAL framework establishes a foundation for future extensions toward transient and multiphysics analyses on large-scale GPU architectures.
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The Trump administration cut the Federal Emergency Management Agency’s workforce without a plan, Congress’ watchdog found.
The disaster-response agency is at risk of being unprepared and without the necessary staff to respond to future emergencies, the Government Accountability Office said in a report released Tuesday.
As of May, FEMA has pushed out over 6,400 employees since Donald Trump took office last year, according to data maintained by the Office of Personnel Management.
then - including the same library code in every executable is wasteful -> let's build systems with shared libraries
now - shipping executables that work with every system's shared libraries is too hard -> let's bundle the correct shared libraries in a container
future - having every executable be an independent copy of electron is wasteful -> apps are now wasm bundles running in servo-os
post-future - capability dependency graphs are too complicated to …
Workplace Conversations Podcast
Each episode, we sit down with leaders, professionals and experts from across industries to talk about leadership, career development, workplace culture and the future of work...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/workpl
Computations in Equivariant Topological Hochschild Homology
David Chan, Marc Gotliboym, Inbar Klang, Noah Wisdom
https://arxiv.org/abs/2608.11376 https://arxiv.org/pdf/2608.11376 https://arxiv.org/html/2608.11376
arXiv:2608.11376v1 Announce Type: new
Abstract: One of the most effective approaches to computations in algebraic $K$-theory is trace methods, which compare algebraic $K$-theory with topological Hochschild homology and topological cyclic homology. In recent work, two of the authors, together with Gerhardt, construct an equivariant refinement of topological Hochschild homology ($\mathrm{ETHH}$) which receives a trace map from Merling's genuine equivariant algebraic $K$-theory. In this paper, we perform foundational computations of $\mathrm{ETHH}$ that can serve as input for future computations of $\mathrm{ETHH}$ and equivariant topological cyclic homology. Namely, we compute $\mathrm{ETHH}(H\underline{\mathbb{F}}_p)$ for odd primes, showcasing the complexity of B\"okstedt periodicity in this setting. Furthermore, we give computations of $\mathrm{ETHH}$ for the equivariant complex cobordism spectra $MU_G$ and $MU_{\mathbb{R}}$.
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ResonaVis: Visualizing Interactive Music Data to Support Reflective Music Composition for Therapeutic Contexts
Abhishek Karwankar, Elise Ruggiero, Daniel Stevens, Matthew Louis Mauriello
https://arxiv.org/abs/2608.10338 https://arxiv.org/pdf/2608.10338 https://arxiv.org/html/2608.10338
arXiv:2608.10338v1 Announce Type: new
Abstract: Designing music for therapeutic contexts requires navigating complex relationships between musical structure and listeners' sensory responses, yet composers often lack structured representations of these interactions, relying instead on intuition. We present ResonaVis, an interactive visualization system that helps composers analyze interaction and audio data from prior sessions with children with Autism Spectrum Disorder (ASD), informing future compositions. ResonaVis integrates audio features and interaction logs to capture how children engage with layered musical compositions, representing this engagement through coordinated visualizations of temporal transitions, layer co-occurrence, rhythmic activity, and spectral characteristics. Rather than prescribing strategies or supporting therapy sessions directly, the system surfaces patterns in past session data to support data-informed reflection during composition. We evaluated ResonaVis through a mixed-methods study with eight music students and a follow-up case study with two experienced composers. Results demonstrate good usability (SUS = 72.23), exceeding benchmarks for early prototypes, and show that participants could identify interaction patterns, reason about layer relationships, and make informed compositional decisions with high perceived performance and low frustration. Confidence in interpreting interaction and acoustic data for ASD-focused composition increased significantly across multiple dimensions (p < 0.05), with qualitative findings suggesting a shift toward more adaptive, data-informed composition. This work contributes a visualization design space for therapeutic music interaction data, an integrated system for compositional reflection, and empirical evidence that visualization tools support analytical reasoning and confidence in data-informed creative practice. (Abstract shortened for arXiv.)
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Reconstruction Bias in Timepix4 Subpixel Centroiding for Electron Imaging
Nina Dimova, Richard Plackett, Daniela Bortoletto
https://arxiv.org/abs/2608.21072 https://arxiv.org/pdf/2608.21072 https://arxiv.org/html/2608.21072
arXiv:2608.21072v1 Announce Type: new
Abstract: Subpixel centroiding is widely used to improve the spatial resolution of hybrid pixel detectors for electron imaging by estimating the true interaction position within an entry pixel. Existing centroiding strategies are typically optimised using localisation accuracy. However, observations show that improved localisation does not necessarily translate into improved modulation transfer function (MTF) or reliable virtual-pixel rebinning. This work proposes a unified interpretation of these observations based on the ambiguity of the centroid reconstruction problem. We show that observable-based centroid estimators solve an intrinsically non-unique inverse problem using deterministic reconstruction rules, which can introduce entry-phase-dependent reconstruction bias that governs the spatial distribution of reconstructed subpixel coordinates. This framework explains why localisation accuracy alone is insufficient to predict imaging performance and identifies approximate intra-pixel translational symmetry as a prerequisite for faithful virtual-pixel imaging. The proposed interpretation is evaluated using simulated 200 keV and 300 keV electron data together with measured 200 keV data acquired with a Timepix4 detector. Comparisons of charge-weighted, timing-based, and morphology-dependent centroiding strategies demonstrate that estimators with similar localisation performance can exhibit markedly different MTFs and rebinned flat-field behaviour. The results suggest that future centroid optimisation should consider subpixel phase bias and rebinnability alongside localisation accuracy.
toXiv_bot_toot
Jack Williamson’s 1947 novelette
"With Folded Hands" tells of a new type of robot following a Prime Directive:
“to serve and obey and guard men from harm”.
Since the robots work for free, soon no one has a job.
It gets worse. The robots take the “guard men from harm” directive too literally.
They ensure a person can’t do anything remotely dangerous.
Before long, humans can do nothing except sit… with folded hands.
We should not fear this sc…
As AI becomes capable of replacing an ever larger share of human work,
the companies selling it will grow astronomically,
turning a handful of investors and technologists into the richest individuals in human history
while creating a permanent underclass of former workers replaced by machines.
To head off that scenario and the consequences it could have for our political and social order,
a growing number of figures in both Washington and Silicon Valley have beg…
𝗘 𝗤𝘂𝗮𝗱𝗿𝗮𝗻𝘁 𝗦𝗶𝗱𝗲 𝗛𝘂𝘀𝘁𝗹𝗲𝘀: 𝗤𝘂𝗶𝗰𝗸 𝗜𝗻𝗰𝗼𝗺𝗲, 𝗟𝗶𝗺𝗶𝘁𝗲𝗱 𝗙𝗿𝗲𝗲𝗱𝗼𝗺
In an earlier post I introduced the principle that there were four categories of side hustle. Let’s talk about the first category.
Employee-style side hustles pay you for hours worked.
Examples:
• Gig work
• Freelancing by the hour
• Part-time jobs
𝐏𝐫𝐨𝐬:
✔ Easy to start
✔ Immediate income
✔ Low learning curve
𝐂𝐨𝐧𝐬:
✖ No leverage
✖ No scalability
✖ Income stops when time stops
💡 These hustles can help short-term – but they rarely change your financial future.
𝐇𝐨𝐧𝐞𝐬𝐭 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧:
Are you building income… or just filling time?
A Scoping Review of Physics Informed Machine Learning for Wave Propagation Modeling in Seismology
\'Oscar Rinc\'on-Carde\~no, Gregorio P\'erez-Bernal, Silvana Montoya-Noguera, Nicol\'as Guar\'in-Zapata
https://arxiv.org/abs/2607.00178 https://arxiv.org/pdf/2607.00178 https://arxiv.org/html/2607.00178
arXiv:2607.00178v1 Announce Type: new
Abstract: \emph{Background:} Standard numerical methods accurately simulate seismic waves but are computationally expensive, particularly for inverse problems. Machine learning approaches have been proposed as alternatives that can reduce computational cost while maintaining acceptable physical accuracy. \emph{Objective:} To map how physics-informed machine learning methods have been applied to seismic wave propagation modeling based on partial differential equations. \emph{Methods:} A scoping review was conducted using the OpenAlex and Scopus databases. Selected studies were classified by problem type (forward or inverse) and machine learning strategy to identify research trends, methodological patterns, and gaps in the literature. \emph{Results:} Physics-informed machine learning has been applied to both forward modeling and inversion in seismology, often reaching accuracy comparable to standard numerical methods at lower computational cost. Application of three mechanisms for incorporating physical knowledge were identified: observational bias, inductive bias, and learning bias. To evaluate methodological reproducibility of a representative method, the original PINN framework was replicated in PyTorch, obtaining results consistent with and in most cases more accurate than those originally reported. From the reviewed literature, limitations remain in benchmarking consistency, training cost, and scalability to three-dimensional and experimentally validated problems. \emph{Conclusions:} Standard numerical methods remain the basis of seismological workflows, while physics-informed machine learning offers complementary approaches that are useful for inverse problems and surrogate modeling. Future work should focus on consistent benchmarking, hybrid formulations, and validation under realistic geophysical conditions.
toXiv_bot_toot
True to the promise of
“drill, baby, drill,”
leaders in Washington are doubling down on attacks
against Alaska’s wildlands
and the clean water, wildlife and ways of life they sustain.
Here’s how the administration is advancing drilling and mining attacks on public lands:
->> Opened every acre of the Arctic National Wildlife Refuge’s fragile coastal plain to oil and gas leasing
->> Approved and reissued permits to move forward on the cont…
I don’t buy the “AI will kill all jobs” argument, because you can (thoroughly and with high quality) automate only mechanical, repetitive and non-creative work.
For example you can’t automate fields of knowledge (e.g. mathematics), it doesn’t matter if it’s LLMs or some other yet to be invented machine doing it.
If we humans don’t know the knowledge (and understand it), it might as well not exist.
Some might claim that “AI-powered fully automated luxury abundance” is the future, and we don’t need to know anything.
First of all, “AI” doesn’t exist. It’s science fiction. LLMs aren’t intelligent and can’t think.
More importantly though, many people want to know and understand things.
What’s the point of a world that’s synthetically generated based on what past humans did and where no one knows anything or learns anything anymore?
Springer-Nature sells Scienterrific American
"We should call this action what it is – blatant union-busting. But there’s worse: we also have reason to believe that the sale was motivated by fear within Springer Nature that our attempts to doggedly report on the crisis facing science in America today would lead to repercussions from the Trump administration. On multiple occasions the company has sought to quash or tone down political or sensitive stories that were journalistically sound.
"We are calling on our new owners to immediately recognize our unit and meet us at the bargaining table to work together to steer a sustainable future of Scientific American–including, but going far beyond, a commitment to respecting our editorial independence. We have already developed a number of proposals for making our journalism more profitable that we look forward to discussing in these negotiations."
https://www.tumblr.com/dduane/820330200182226944/wgae-scientific-american-union-statement-on?source=share
Here is the transcript of the meat of Carney’s proposal for a deeper Canada and EU partnership in text. Full text of the speech at the second link. The 2 minute video clip got a chuckle (“better manners”).
“So let me say plainly what Canada proposes.
Canada and Europe should secure our strategic autonomy through deep cooperation in the full range of strategic capabilities, including critical minerals, defence industrial capacity, AI and compute, energy security, space, and payments.
We should move toward seamless, digital trade in non-agricultural goods and a wide range of services.
We should deepen our people-to-people ties, allowing our youth to live, work and study where they want on either side of the Atlantic.
Canadian membership of Erasmus can give your students, and ours, more opportunity to learn at some of the world’s top universities, to broaden their horizons, and to build lasting ties that will sustain our alliance for the future.
Canadian membership of the next generation of Horizon would allow us to pool resources, cooperate on frontier technologies, and leverage our world-class research institutes and universities.
Yesterday, President von der Leyen announced a “new European Corporation on Critical Raw Materials” to obtain and stockpile the material needed for electric cars, chips and batteries, clean technology, and defence. Canada has deposits of over 34 critical minerals, and we are among the top producers of the 10 most essential for the world’s energy transition. Our alliance can help fill Europe’s need for reliable supply, Canada’s need for advanced processing capabilities, and our common objective to build complete value chains.
Canada can contribute LNG and hydrogen at large scale to support Europe’s energy security including by developing and leveraging new port infrastructure in the High North and on our East Coast. We, in turn, can benefit from your leadership in many clean energy technologies.
We can pool new sovereign compute capacity and build more secure broadband connections between Europe and Asia via our common geography.
Canada and Europe can join forces to develop AI safety protocols, coordinate common standards, and strengthen transparency, all while developing applications so our governments and companies can serve our citizens better.
Canada and Europe should also consider exploring an integrated market for financial services to broaden choice and reduce costs for our citizens, improve access to capital for our companies while maintaining our world-leading financial resilience.”
Official Text of speech: #canada #eu #europe #canPoli #cdnpoli #trade #security #war #russiaUkraineWar #theAmericanFascist
In an earlier post I introduced the principle that there were four categories of side hustle. Let’s now talk about the fourth and final category.
I Quadrant: When the Money Does the Work
Investor income is built on capital, not hours.
Examples:
• Stocks
• Real estate
• Digital assets
Pros:
✔ Potentially passive
✔ Long-term wealth
✔ True financial independence
Cons:
✖ Requires capital
✖ Risk if poorly educated
✖ Results take time
💡 Most investors don’t start here.
They fund this quadrant using income from other quadrants!
Final Thought:
Which quadrant is financing your future?
And when the time comes for water and food rationing people will elect more right-wing charlatans who promise that these problems don’t exist and/or are all the fault of “other” people.
If people don’t change and finally stick together to really work on this emergency, I don’t see a bright future for Europe.
E Quadrant Side Hustle: Quick Income, Limited Freedom
In an earlier post I introduced the principle that there were four categories of side hustle. Let’s talk about the first category.
Employee-style side hustles pay you for hours worked.
Examples:
• Gig work
• Freelancing by the hour
• Part-time jobs
Pros:
✔ Easy to start
✔ Immediate income
✔ Low learning curve
Cons:
✖ No leverage
✖ No scalability
✖ Income stops when time stops
💡 These hustles can help short-term – but they rarely change your financial future.
Honest Question:
Are you building income… or just filling time?