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@Techmeme@techhub.social
2026-02-19 12:20:40

Sources and docs: the US "effectively gutted" the Internet Freedom program that dispensed $500M since 2016 to help build tech to evade state internet controls (Aisha Down/The Guardian)
theguardian.com/world/2026/feb

Our Panic World episode about ICE’s invasion of Minneapolis is out.
You can watch the video version by clicking the embed and you can listen to an audio version anywhere you get your podcasts.
The situation in Minneapolis is escalating rapidly.
Last night, the Department of Homeland Security said they arrested eight “rioters,”
after Immigration and Customs Enforcement officers tried to clear out protesters camped out at the Whipple Federal Building,
ICE’s de f…

@kctipton@mas.to
2026-02-18 07:41:27

What to know about the decentralized antifa movement | AP News apnews.com/article/trump-antif

@krispijn@social.sargasso.nl
2026-01-20 10:11:01

Donald 'peace in one day' #Trumps geopolitieke spoor van vernieling leidt de aandacht af van #Poetins ‘energieterreur’ in ijskoud #Oekraïne
(En van de banden tussen #Trump en #Epstein) nrc.nl/nieuws/2026/01/19/trump

@blakes7bot@mas.torpidity.net
2025-12-15 19:18:48

Series D, Episode 01 - Rescue
[Interior Xenon base lounge. Soolin sets out glasses on a tray. She stops, regards the tray and then takes another glass from the shelf. She begins to pour wine into the glasses. Dorian leads the group into the lounge. Dorian grabs her and kisses her.]
SOOLIN: Are you all right?
blake.torpi…

Claude Haiku 4.5 describes the image as: "# Scene from Blake's 7

This image depicts a scene set aboard a spacecraft, featuring a futuristic interior with sleek, minimalist design elements including curved seating, paneled walls, and potted plants. The setting appears to be a command center or common area with a distinctly 1980s science fiction aesthetic.

The scene shows a group of characters in various costumes gathered in conversation. Some wear distinctive black and metallic uniforms typica…
@arXiv_csLG_bot@mastoxiv.page
2025-12-22 11:50:31

Crosslisted article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[2/3]:
- Sharp Structure-Agnostic Lower Bounds for General Functional Estimation
Jikai Jin, Vasilis Syrgkanis
arxiv.org/abs/2512.17341 mastoxiv.page/@arXiv_statML_bo
- Timely Information Updating for Mobile Devices Without and With ML Advice
Yu-Pin Hsu, Yi-Hsuan Tseng
arxiv.org/abs/2512.17381 mastoxiv.page/@arXiv_csNI_bot/
- SWE-Bench : A Framework for the Scalable Generation of Software Engineering Benchmarks from Open...
Wang, Ramalho, Celestino, Pham, Liu, Sinha, Portillo, Osunwa, Maduekwe
arxiv.org/abs/2512.17419 mastoxiv.page/@arXiv_csSE_bot/
- Perfect reconstruction of sparse signals using nonconvexity control and one-step RSB message passing
Xiaosi Gu, Ayaka Sakata, Tomoyuki Obuchi
arxiv.org/abs/2512.17426 mastoxiv.page/@arXiv_statML_bo
- MULTIAQUA: A multimodal maritime dataset and robust training strategies for multimodal semantic s...
Jon Muhovi\v{c}, Janez Per\v{s}
arxiv.org/abs/2512.17450 mastoxiv.page/@arXiv_csCV_bot/
- When Data Quality Issues Collide: A Large-Scale Empirical Study of Co-Occurring Data Quality Issu...
Emmanuel Charleson Dapaah, Jens Grabowski
arxiv.org/abs/2512.17460 mastoxiv.page/@arXiv_csSE_bot/
- Behavioural Effects of Agentic Messaging: A Case Study on a Financial Service Application
Olivier Jeunen, Schaun Wheeler
arxiv.org/abs/2512.17462 mastoxiv.page/@arXiv_csIR_bot/
- Linear Attention for Joint Power Optimization and User-Centric Clustering in Cell-Free Networks
Irched Chafaa, Giacomo Bacci, Luca Sanguinetti
arxiv.org/abs/2512.17466 mastoxiv.page/@arXiv_eessSY_bo
- Translating the Rashomon Effect to Sequential Decision-Making Tasks
Dennis Gross, J{\o}rn Eirik Betten, Helge Spieker
arxiv.org/abs/2512.17470 mastoxiv.page/@arXiv_csAI_bot/
- Alternating Direction Method of Multipliers for Nonlinear Matrix Decompositions
Atharva Awari, Nicolas Gillis, Arnaud Vandaele
arxiv.org/abs/2512.17473 mastoxiv.page/@arXiv_eessSP_bo
- TwinSegNet: A Digital Twin-Enabled Federated Learning Framework for Brain Tumor Analysis
Almustapha A. Wakili, Adamu Hussaini, Abubakar A. Musa, Woosub Jung, Wei Yu
arxiv.org/abs/2512.17488 mastoxiv.page/@arXiv_csCV_bot/
- Resource-efficient medical image classification for edge devices
Mahsa Lavaei, Zahra Abadi, Salar Beigzad, Alireza Maleki
arxiv.org/abs/2512.17515 mastoxiv.page/@arXiv_eessIV_bo
- PathBench-MIL: A Comprehensive AutoML and Benchmarking Framework for Multiple Instance Learning i...
Brussee, Valkema, Weijer, Doeleman, Schrader, Kers
arxiv.org/abs/2512.17517 mastoxiv.page/@arXiv_csCV_bot/
- HydroGym: A Reinforcement Learning Platform for Fluid Dynamics
Christian Lagemann, et al.
arxiv.org/abs/2512.17534 mastoxiv.page/@arXiv_physicsfl
- When De-noising Hurts: A Systematic Study of Speech Enhancement Effects on Modern Medical ASR Sys...
Chondhekar, Murukuri, Vasani, Goyal, Badami, Rana, SN, Pandia, Katiyar, Jagadeesh, Gulati
arxiv.org/abs/2512.17562 mastoxiv.page/@arXiv_csSD_bot/
- Enabling Disaggregated Multi-Stage MLLM Inference via GPU-Internal Scheduling and Resource Sharing
Lingxiao Zhao, Haoran Zhou, Yuezhi Che, Dazhao Cheng
arxiv.org/abs/2512.17574 mastoxiv.page/@arXiv_csDC_bot/
- SkinGenBench: Generative Model and Preprocessing Effects for Synthetic Dermoscopic Augmentation i...
N. A. Adarsh Pritam, Jeba Shiney O, Sanyam Jain
arxiv.org/abs/2512.17585 mastoxiv.page/@arXiv_eessIV_bo
- MAD-OOD: A Deep Learning Cluster-Driven Framework for an Out-of-Distribution Malware Detection an...
Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Asif Rahman, Olukunle Kolade, Sasidhar Kunapuli
arxiv.org/abs/2512.17594 mastoxiv.page/@arXiv_csCR_bot/
- Confidence-Credibility Aware Weighted Ensembles of Small LLMs Outperform Large LLMs in Emotion De...
Menna Elgabry, Ali Hamdi
arxiv.org/abs/2512.17630 mastoxiv.page/@arXiv_csCL_bot/
- Generative Multi-Objective Bayesian Optimization with Scalable Batch Evaluations for Sample-Effic...
Madhav R. Muthyala, Farshud Sorourifar, Tianhong Tan, You Peng, Joel A. Paulson
arxiv.org/abs/2512.17659 mastoxiv.page/@arXiv_statML_bo
toXiv_bot_toot

@scott@carfree.city
2025-12-15 07:34:09

This survey question is rich. This is from one of the BigMoneySF groups trying to make it harder for the rest of us to put stuff on the ballot.
But they will never ban paid signature gathering, the one thing that would most effectively keep crap off the ballot. They just want to raise the signature threshold for the rest of us. It would still be easy for billionaires to abuse the system and qualify any ballot measure they like, just hard for anyone else.

Survey question:

Large corporations are easily able to take advantage of our current ballot measure system. Making it harder to get measures on the ballot will minimize their influence, and prevent wealthy corporations from abusing our election system to protect their profits.

Please indicate whether you find it very convincing, somewhat convincing, or not convincing as a reason to support the proposal.

I've checked "Not convincing."
@memeorandum@universeodon.com
2026-02-10 19:30:50

Commerce Secretary Howard Lutnick acknowledges meetings with Epstein that contradict previous claims (Stephen Groves/Associated Press)
apnews.com/article/jeffrey-eps
memeorandum.com/260210/p92#a26

The New York Times reported that
Meta is considering adding face recognition technology to its smart glasses.
According to an internal Meta document,
the company may launch the product
“during a dynamic political environment
where many civil society groups that we would expect to attack us
would have their resources focused on other concerns.”
This is a bad idea that Meta should abandon.
If adopted and released to the public,
it would …

@blakes7bot@mas.torpidity.net
2026-02-14 07:23:26

#Blakes7 Series A, Episode 04 - Time Squad
JENNA: Stabilize and trim back to stationary.
BLAKE: Check.
JENNA: [To Avon] Negative anti-gravs. [Avon presses buttons] Compensate for orbital drift and hold. [points to button] Hold.
BLAKE: All confirmed.