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@mlawton@mstdn.social
2026-05-12 20:28:02

Pretty much perfect spring weather, so I’m working on the back deck. Noticed movement in my peripheral vision and spied this tiny jumping spider furtively sneaking closer for a peek at my setup.
Paraphidippus aurantius en.wikipedia.org/wiki/Paraphid…

A outdoor workspace featuring a laptop displaying code on a table, alongside a white speaker. There is a chair in the foreground, and a well-maintained grassy area with trees and decorative lights in the background.
A close-up image of a small black spider with a shiny green area on its back, perched on a mesh metal outdoor table.
@migueldeicaza@mastodon.social
2026-03-13 17:50:32

When you are a Swift godot user, every day is xmas!
forums.swift.org/t/pitch-emscr

[Pitch] Emscripten Target Support for Swift
Swift already runs in the browser today. Using the WASI target with JavaScriptKit and browser-side WASI polyfills, the community has built projects ranging from ElementaryUI (a SwiftUI-inspired web framework) to real-time graphics with WebGPU. The WebAssembly vision document noted that "browser-specific use cases remain to be addressed in a separate document." This pitch proposes adding the Emscripten target (wasm32-unknown-emscripten) to the Swift toolchain, complementing the existing WASI ta…

@cheryanne@aus.social
2026-05-10 09:24:03

AI & The Creative Professional
Comedian Alice Fraser and showrunner Kat Viken discuss the impact of AI on creative careers, with celebrity guests in film, TV, comedy and arts...
Great Australian Pods Podcast Directory: greataustralianpods.com/ai-the

@arXiv_csCL_bot@mastoxiv.page
2026-03-31 10:40:54

Crosslisted article(s) found for cs.CL. arxiv.org/list/cs.CL/new
[1/2]:
- Bridge-RAG: An Abstract Bridge Tree Based Retrieval Augmented Generation Algorithm With Cuckoo Fi...
Li, Liu, Zong, Tao, Dai, Ren, Liu, Jiang, Yang
arxiv.org/abs/2603.26668 mastoxiv.page/@arXiv_csIR_bot/
- SRAG: RAG with Structured Data Improves Vector Retrieval
Shalin Shah, Srikanth Ryali, Ramasubbu Venkatesh
arxiv.org/abs/2603.26670 mastoxiv.page/@arXiv_csIR_bot/
- LITTA: Late-Interaction and Test-Time Alignment for Visually-Grounded Multimodal Retrieval
Seonok Kim
arxiv.org/abs/2603.26683 mastoxiv.page/@arXiv_csIR_bot/
- Agentic AI for Human Resources: LLM-Driven Candidate Assessment
Yuksel, Anees, Elneima, Hewavitharana, Al-Badrashiny, Sawaf
arxiv.org/abs/2603.26710 mastoxiv.page/@arXiv_csIR_bot/
- SEAR: Schema-Based Evaluation and Routing for LLM Gateways
Zecheng Zhang, Han Zheng, Yue Xu
arxiv.org/abs/2603.26728 mastoxiv.page/@arXiv_csDB_bot/
- SleepVLM: Explainable and Rule-Grounded Sleep Staging via a Vision-Language Model
Guifeng Deng, Pan Wang, Jiquan Wang, Shuying Rao, Junyi Xie, Wanjun Guo, Tao Li, Haiteng Jiang
arxiv.org/abs/2603.26738 mastoxiv.page/@arXiv_csCV_bot/
- Aesthetic Assessment of Chinese Handwritings Based on Vision Language Models
Chen Zheng, Yuxuan Lai, Haoyang Lu, Wentao Ma, Jitao Yang, Jian Wang
arxiv.org/abs/2603.26768 mastoxiv.page/@arXiv_csCV_bot/
- Learning to Select Visual In-Context Demonstrations
Eugene Lee, Yu-Chi Lin, Jiajie Diao
arxiv.org/abs/2603.26775 mastoxiv.page/@arXiv_csLG_bot/
- CRISP: Characterizing Relative Impact of Scholarly Publications
Hannah Collison, Benjamin Van Durme, Daniel Khashabi
arxiv.org/abs/2603.26791 mastoxiv.page/@arXiv_csDL_bot/
- GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem S...
Xinyi Duan, Yuanrong Tang, Jiangtao Gong
arxiv.org/abs/2603.26807 mastoxiv.page/@arXiv_csIR_bot/
- In your own words: computationally identifying interpretable themes in free-text survey data
Jenny S Wang, Aliya Saperstein, Emma Pierson
arxiv.org/abs/2603.26930 mastoxiv.page/@arXiv_csCY_bot/
- Multilingual Stutter Event Detection for English, German, and Mandarin Speech
Felix Haas, Sebastian P. Bayerl
arxiv.org/abs/2603.26939 mastoxiv.page/@arXiv_csSD_bot/
- FormalProofBench: Can Models Write Graduate Level Math Proofs That Are Formally Verified?
Ravi, Ying, Nesterov, Krishnan, Uskuplu, Xia, Aswedige, Nashold
arxiv.org/abs/2603.26996 mastoxiv.page/@arXiv_csAI_bot/
- PHONOS: PHOnetic Neutralization for Online Streaming Applications
Waris Quamer, Mu-Ruei Tseng, Ghady Nasrallah, Ricardo Gutierrez-Osuna
arxiv.org/abs/2603.27001 mastoxiv.page/@arXiv_eessAS_bo
- ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding
Jovana Kondic, et al.
arxiv.org/abs/2603.27064 mastoxiv.page/@arXiv_csCV_bot/
- daVinci-LLM:Towards the Science of Pretraining
Qin, Liu, Mi, Xie, Huang, Si, Lu, Feng, Wu, Liu, Luo, Hou, Guo, Qiao, Liu
arxiv.org/abs/2603.27164 mastoxiv.page/@arXiv_csAI_bot/
- LightMover: Generative Light Movement with Color and Intensity Controls
Zhou, Wang, Kim, Shu, Yu, Hold-Geoffroy, Chaturvedi, Wu, Lin, Cohen
arxiv.org/abs/2603.27209 mastoxiv.page/@arXiv_csCV_bot/
- Self-evolving AI agents for protein discovery and directed evolution
Tan, Zhang, Li, Yu, Zhong, Zhou, Dong, Hong
arxiv.org/abs/2603.27303 mastoxiv.page/@arXiv_csAI_bot/
- Inference-Time Structural Reasoning for Compositional Vision-Language Understanding
Amartya Bhattacharya
arxiv.org/abs/2603.27349 mastoxiv.page/@arXiv_csCV_bot/
- LLM Readiness Harness: Evaluation, Observability, and CI Gates for LLM/RAG Applications
Alexandre Cristov\~ao Maiorano
arxiv.org/abs/2603.27355 mastoxiv.page/@arXiv_csAI_bot/
- Heterogeneous Debate Engine: Identity-Grounded Cognitive Architecture for Resilient LLM-Based Eth...
Jakub Mas{\l}owski, Jaros{\l}aw A. Chudziak
arxiv.org/abs/2603.27404 mastoxiv.page/@arXiv_csAI_bot/
toXiv_bot_toot

@arXiv_csLG_bot@mastoxiv.page
2026-02-25 12:33:36

Crosslisted article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[2/3]:
- Diffusion Modulation via Environment Mechanism Modeling for Planning
Hanping Zhang, Yuhong Guo
arxiv.org/abs/2602.20422 mastoxiv.page/@arXiv_csAI_bot/
- Heterogeneity-Aware Client Selection Methodology For Efficient Federated Learning
Nihal Balivada, Shrey Gupta, Shashank Shreedhar Bhatt, Suyash Gupta
arxiv.org/abs/2602.20450 mastoxiv.page/@arXiv_csDC_bot/
- Prior-Agnostic Incentive-Compatible Exploration
Ramya Ramalingam, Osbert Bastani, Aaron Roth
arxiv.org/abs/2602.20465 mastoxiv.page/@arXiv_csGT_bot/
- PhyGHT: Physics-Guided HyperGraph Transformer for Signal Purification at the HL-LHC
Mohammed Rakib, Luke Vaughan, Shivang Patel, Flera Rizatdinova, Alexander Khanov, Atriya Sen
arxiv.org/abs/2602.20475 mastoxiv.page/@arXiv_hepex_bot
- ActionEngine: From Reactive to Programmatic GUI Agents via State Machine Memory
Zhong, Faisal, Fran\c{c}a, Leesatapornwongsa, Szekeres, Rong, Nath
arxiv.org/abs/2602.20502 mastoxiv.page/@arXiv_csAI_bot/
- Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination
Rakshit Trivedi, Kartik Sharma, David C Parkes
arxiv.org/abs/2602.20517 mastoxiv.page/@arXiv_csAI_bot/
- Stop-Think-AutoRegress: Language Modeling with Latent Diffusion Planning
Lovelace, Belardi, Zalouk, Polavaram, Kundurthy, Weinberger
arxiv.org/abs/2602.20528 mastoxiv.page/@arXiv_csCL_bot/
- Standard Transformers Achieve the Minimax Rate in Nonparametric Regression with $C^{s,\lambda}$ T...
Yanming Lai, Defeng Sun
arxiv.org/abs/2602.20555 mastoxiv.page/@arXiv_statML_bo
- Personal Information Parroting in Language Models
Nishant Subramani, Kshitish Ghate, Mona Diab
arxiv.org/abs/2602.20580 mastoxiv.page/@arXiv_csCL_bot/
- Characterizing Online and Private Learnability under Distributional Constraints via Generalized S...
Mo\"ise Blanchard, Abhishek Shetty, Alexander Rakhlin
arxiv.org/abs/2602.20585 mastoxiv.page/@arXiv_statML_bo
- Amortized Bayesian inference for actigraph time sheet data from mobile devices
Daniel Zhou, Sudipto Banerjee
arxiv.org/abs/2602.20611 mastoxiv.page/@arXiv_statML_bo
- Knowing the Unknown: Interpretable Open-World Object Detection via Concept Decomposition Model
Xueqiang Lv, Shizhou Zhang, Yinghui Xing, Di Xu, Peng Wang, Yanning Zhang
arxiv.org/abs/2602.20616 mastoxiv.page/@arXiv_csCV_bot/
- On the Convergence of Stochastic Gradient Descent with Perturbed Forward-Backward Passes
Boao Kong, Hengrui Zhang, Kun Yuan
arxiv.org/abs/2602.20646 mastoxiv.page/@arXiv_mathOC_bo
- DANCE: Doubly Adaptive Neighborhood Conformal Estimation
Feng, Reich, Beaglehole, Luo, Park, Yoo, Huang, Mao, Boz, Kim
arxiv.org/abs/2602.20652 mastoxiv.page/@arXiv_statML_bo
- Vision-Language Models for Ergonomic Assessment of Manual Lifting Tasks: Estimating Horizontal an...
Mohammad Sadra Rajabi, Aanuoluwapo Ojelade, Sunwook Kim, Maury A. Nussbaum
arxiv.org/abs/2602.20658 mastoxiv.page/@arXiv_csCV_bot/
- F10.7 Index Prediction: A Multiscale Decomposition Strategy with Wavelet Transform for Performanc...
Xuran Ma, et al.
arxiv.org/abs/2602.20712 mastoxiv.page/@arXiv_astrophIM
- Communication-Inspired Tokenization for Structured Image Representations
Davtyan, Sahin, Haghighi, Stapf, Acuaviva, Alahi, Favaro
arxiv.org/abs/2602.20731 mastoxiv.page/@arXiv_csCV_bot/
- SibylSense: Adaptive Rubric Learning via Memory Tuning and Adversarial Probing
Yifei Xu, et al.
arxiv.org/abs/2602.20751 mastoxiv.page/@arXiv_csCL_bot/
- Assessing the Impact of Speaker Identity in Speech Spoofing Detection
Anh-Tuan Dao, Driss Matrouf, Nicholas Evans
arxiv.org/abs/2602.20805 mastoxiv.page/@arXiv_csSD_bot/
- Don't Ignore the Tail: Decoupling top-K Probabilities for Efficient Language Model Distillation
Sayantan Dasgupta, Trevor Cohn, Timothy Baldwin
arxiv.org/abs/2602.20816 mastoxiv.page/@arXiv_csCL_bot/
- DRESS: A Continuous Framework for Structural Graph Refinement
Eduar Castrillo Velilla
arxiv.org/abs/2602.20833 mastoxiv.page/@arXiv_csDS_bot/
toXiv_bot_toot

@hex@kolektiva.social
2026-02-28 10:20:01

As salty as I am about it, there's also another way to think about this. For anyone who still has connections to folks on the right (which is perhaps unlikely for anyone on this server, I digress), the cult that has consumed them thrives on isolation and grievance.
The words "you were right" have the potential to cut through the programming and open up an opportunity for reconnection. The modern conspiratorial cult of the Right has been built partially around people who were told they were wrong or were crazy. In the vast majority of cases, they were wrong and even when they were right they completely misunderstood why, but we'll skip that for now. Liberals making fun of them (even the times when they definitely earned it) has pushed them further and further into their ideological hole.
The thing about those words, "you were right," in this context is that the way they offer reconnection also requires them to take one little step of betraying their ideology to accept them. So they must choose between maintaining allegiance to a pedophile or finally getting to feel superior after years of living in an illusion of persecution.
Under the ideology of the Right, admitting one is wrong is a weakness. It is admitting defeat. They have to "own the libs" by saying things, things that they know aren't true, in order to feel dominant. But these things are often so absurd that they end up being made fun of, feeling even more weak and pathetic, reinforcing their fear and alienation.
Offering what they're looking for can offer a way out, but only if they're willing to start to recognize the thing they've supported for what it is.
And they were right about some things. They were right that Bill Gates was a terrible person. I've had plenty of liberals defend him based on his philanthropy washing, but he's awful and always has been. The Epstein links make that blatant. They intuitively recognized him and didn't trust him, even if they were wildly off base about *how and why* he shouldn't be trusted... Even if their correct mistrust was leveraged into one of the most destructive conspiracy theories ever (vaccine denial and COVID vaccine avoidance).
They were right about Bill Clinton. He was always shady as fuck. Sure, the people who attacked him at the time turned out to be even more shady but that's not the point right now. He was connected to Epstein and that was always creepy as fuck.
And the Epstein thing was an open secret that liberals ignored for a long time. It was seen as some weird thing that right wing nutjobs believed about the Clintons. But it was true. Not all of it, and there has always been an antisemitic element to the right wing interpretation or Epstein stuff, but his whole pedophile conspiracy was always kind of real.
The whole "Illuminati"/deep state thing is a vast oversimplification, an attempt to make comprehensible an incredibly complex set of interlocking and emergent behaviors. But Epstein did very much want to remake the world, to create a new world order, and he absolutely played a part in it.
The Right wing nutjobs talked about global authoritarianism, Blackhawks flying over American cities, masked men with guns disarming and executing legal gun owners in the streets. That's all happening right now.
The "FEMA concentration camps" are not actually that far off. ICE and FEMA are sister agencies, both under DHS. I'd be more than happy to call that one "close enough" in order to hear some MAGA admit that ICE is, in fact, building concentration camps.
There was always a huge millennialist element to these things. They tended to be connected to "the antichrist." It was absurd, especially for me as someone who no longer identifies as a Christian. But I'll even acquiess that to a degree. The "the number of the Beast" is 666. That's just the sum of the Hebrew spelling of "Nero." Revelations focuses a lot on Nero coming back to life after his death. His death that involved a head wound, thus the line from Revelation 13:3:
> And I saw one of his heads as if it had been mortally wounded, and his deadly wound was healed. And all the world marveled and followed the beast.
The parallels between Trump and Nero are easy to draw, and Trump's ear wound feels pretty on-the-nose for this. I don't believe in "prophecy" in this way. I think that there are patterns, and useful patterns can become encoded in beleif systems. But I will, again, happily call this one "close enough" for anyone on that side willing to also acknowledge it. I'm happy to meet on that common ground, because anyone who accepts it must recognize that their duty is to fight against it.
A lot of these correct nuggets are embedded in a framework of religious extremism and antisemitism. The vast majority of the beliefs holding these together are wildly wrong and incredibly toxic. But by giving some room to feel validated, listened to, understood, can give some room to admit things that were wrong.
Cult de-programming starts with an opening. People have to talk through their own thoughts, hear their own inconsistencies. Guiding questions can help them untangle these things for themselves. And it all starts by having enough room to feel safe, to not feel cornered, to not feel stupid. Admitting mistakes means being vulnerable, and the MAGA cult is built on fear. It's built on exploiting vulnerability and locking it away.
De-programming takes a long time. It's not easy. It takes patience. But every person who comes out does so with a powerful perspective, a deep understanding, that can be turned back against it. The best people at getting people out of cults are former members. Some of the most dedicated antifa are former fascists who understood their mistakes and dedicate their lives to fixing them.

@david@boles.xyz
2026-02-26 14:37:43

The Great Audio Laundering: How AI Scammers are Highjacking the ACX Premium Market and Defrauding the Human Soul
The digital landscape of 2026 was supposed to be a golden age for the independent author, a time when the friction between a creative vision and a global audience finally dissolved into a seamless stream of data. We were promised a world where high-quality production was accessible to anyone with a story to tell and the capital to invest in professional…

The Great Audio Laundering: How AI Scammers are Highjacking the ACX Premium Market and Defrauding the Human Soul | David Boles, Blogs
The digital landscape of 2026 was supposed to be a golden age for the independent author, a time when the friction between a creative vision and a global audience finally dissolved into a seamless …

@fanf@mendeddrum.org
2026-03-06 15:42:03

from my link log —
Pointer-based data structures in SPARK Ada.
blog.adacore.com/pointer-based
saved 2019-10-12

Pointer Based Data-Structures in SPARK
As seen in a previous post, it is possible to use pointers (or access types) in SPARK provided the program abides by a strict memory ownership policy…

@oekologisch_unterwegs@mastodon.online
2026-03-31 12:54:13

Das #Leckerli zum Probieren:
Diese vegane #Karamell-Buttercreme ist super zum Verzieren von #Cupcakes geeignet.
Oder besser Margarinecreme? Macht sich jedenfalls gut für den

Vegane Karamell-Buttercreme für Cupcakes als Topping
Diese vegane Karamell-Buttercreme ist das perfekte Topping für deine Cupcakes! Einfach zuzubereiten und unglaublich lecker.

@arXiv_csLG_bot@mastoxiv.page
2026-02-25 16:08:29

Replaced article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[6/6]:
- Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning
Chi-Pin Huang, Yunze Man, Zhiding Yu, Min-Hung Chen, Jan Kautz, Yu-Chiang Frank Wang, Fu-En Yang
arxiv.org/abs/2601.09708 mastoxiv.page/@arXiv_csCV_bot/
- Universality of Many-body Projected Ensemble for Learning Quantum Data Distribution
Quoc Hoan Tran, Koki Chinzei, Yasuhiro Endo, Hirotaka Oshima
arxiv.org/abs/2601.18637 mastoxiv.page/@arXiv_quantph_b
- FROST: Filtering Reasoning Outliers with Attention for Efficient Reasoning
Haozheng Luo, Zhuolin Jiang, Md Zahid Hasan, Yan Chen, Soumalya Sarkar
arxiv.org/abs/2601.19001 mastoxiv.page/@arXiv_csCL_bot/
- Analysis of Shuffling Beyond Pure Local Differential Privacy
Shun Takagi, Seng Pei Liew
arxiv.org/abs/2601.19154 mastoxiv.page/@arXiv_csDS_bot/
- CryoLVM: Self-supervised Learning from Cryo-EM Density Maps with Large Vision Models
Weining Fu, Kai Shu, Kui Xu, Qiangfeng Cliff Zhang
arxiv.org/abs/2602.02620
- XtraLight-MedMamba for Classification of Neoplastic Tubular Adenomas
Sultana, Afsar, Rahu, Singh, Shula, Combs, Forchetti, Asari
arxiv.org/abs/2602.04819
- Flow-Based Conformal Predictive Distributions
Trevor Harris
arxiv.org/abs/2602.07633 mastoxiv.page/@arXiv_statML_bo
- GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing
Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo, Yen-Yu Lin
arxiv.org/abs/2602.08550 mastoxiv.page/@arXiv_csCV_bot/
- UI-Venus-1.5 Technical Report
Venus Team, et al.
arxiv.org/abs/2602.09082 mastoxiv.page/@arXiv_csCV_bot/
- The Wisdom of Many Queries: Complexity-Diversity Principle for Dense Retriever Training
Xincan Feng, Noriki Nishida, Yusuke Sakai, Yuji Matsumoto
arxiv.org/abs/2602.09448 mastoxiv.page/@arXiv_csIR_bot/
- Intent Laundering: AI Safety Datasets Are Not What They Seem
Shahriar Golchin, Marc Wetter
arxiv.org/abs/2602.16729 mastoxiv.page/@arXiv_csCR_bot/
- The Metaphysics We Train: A Heideggerian Reading of Machine Learning
Heman Shakeri
arxiv.org/abs/2602.19028 mastoxiv.page/@arXiv_csCY_bot/
- Skill-Inject: Measuring Agent Vulnerability to Skill File Attacks
David Schmotz, Luca Beurer-Kellner, Sahar Abdelnabi, Maksym Andriushchenko
arxiv.org/abs/2602.20156 mastoxiv.page/@arXiv_csCR_bot/
- A Very Big Video Reasoning Suite
Maijunxian Wang, et al.
arxiv.org/abs/2602.20159 mastoxiv.page/@arXiv_csCV_bot/
toXiv_bot_toot