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Citizen Lab director warns cyber industry about US authoritarian descent
https://techcrunch.com/2025/08/06/citizen-lab-director-warns-cyber-industry-about-us-authoritarian-descent/

Citizen Lab director warns cyber industry about US authoritarian descent | TechCrunch
Ron Deibert, the head of the prominent digital human rights groups Citizen Lab, sounds the alarm at the Black Hat security conference about the "dramatic descent into authoritarianism," but one that the cyber community can help to defend against.

Bee Maps, a decentralized mapping project powered by Hivemapper on the Solana blockchain, raised $32M to expand its network by distributing AI-enabled dashcams (CoinDesk)
https://www.coindesk.com/tech/2025/10/06/bee-maps-r…

Bee Maps Raises $32M to Scale Solana-Powered Decentralized Mapping Network
The fresh capital will be used to distribute more devices, enhance AI models that process and update map features, and boost contributor incentives.

Russia's digital iron curtain descends further as Kremlin chokes Internet freedoms: https://benborges.xyz/2025/10/06/russias-digital-iron-curtain-descends.html

Disjointed Bills can't get back on script in surprising loss to Patriots https://www.nytimes.com/athletic/6693211/2025/10/06/disjointed-bills-surprising-loss-patriots/

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models
Pingchuan Ma, Xiaopei Yang, Yusong Li, Ming Gui, Felix Krause, Johannes Schusterbauer, Bj\"orn Ommer
https://arxiv.org/abs/2508.03402

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models
Explicitly disentangling style and content in vision models remains challenging due to their semantic overlap and the subjectivity of human perception. Existing methods propose separation through generative or discriminative objectives, but they still face the inherent ambiguity of disentangling intertwined concepts. Instead, we ask: Can we bypass explicit disentanglement by learning to merge style and content invertibly, allowing separation to emerge naturally? We propose SCFlow, a flow-matchi…

Ron Deibert,
the director of Citizen Lab, one of the most prominent organizations investigating government spyware abuses,
is sounding the alarm to the cybersecurity community
and asking them to step up and join the ⭐️fight against authoritarianism. 
On Wednesday, Deibert will deliver a keynote at the Black Hat cybersecurity conference in Las Vegas,
one of the largest gatherings of information security professionals of the year. 
Ahead of his talk, Deibert …

Citizen Lab director warns cyber industry about US authoritarian descent | TechCrunch
Ron Deibert, the head of the prominent digital human rights groups Citizen Lab, sounds the alarm at the Black Hat security conference about the "dramatic descent into authoritarianism," but one that the cyber community can help to defend against.

"Senior Tories dismayed at Badenoch’s ‘catastrophic’ vow to repeal Climate Change Act"
#UK #UnitedKingdom #Climate

PolyLink: A Blockchain Based Decentralized Edge AI Platform for LLM Inference
Hongbo Liu, Jiannong Cao, Bo Yang, Dongbin Bai, Yinfeng Cao, Xiaoming Shen, Yinan Zhang, Jinwen Liang, Shan Jiang, Mingjin Zhang
https://arxiv.org/abs/2510.02395

PolyLink: A Blockchain Based Decentralized Edge AI Platform for LLM Inference
The rapid advancement of large language models (LLMs) in recent years has revolutionized the AI landscape. However, the deployment model and usage of LLM services remain highly centralized, creating significant trust issues and costs for end users and developers. To address these issues, we propose PolyLink, a blockchain-based decentralized AI platform that decentralizes LLM development and inference. Specifically, PolyLink introduces a decentralized crowdsourcing architecture that supports sin…

A Parameter-free Decentralized Algorithm for Composite Convex Optimization
Xiaokai Chen, Ilya Kuruzov, Gesualdo Scutari, Alexander Gasnikov
https://arxiv.org/abs/2508.01466 http…

A Parameter-free Decentralized Algorithm for Composite Convex Optimization
The paper studies decentralized optimization over networks, where agents minimize a composite objective consisting of the sum of smooth convex functions--the agents' losses--and an additional nonsmooth convex extended value function. We propose a decentralized algorithm wherein agents ${\it adaptively}$ adjust their stepsize using local backtracking procedures that require ${\it no}$ ${\it global}$ (network) information or extensive inter-agent communications. Our adaptive decentralized method …

Get a shirt, get a hoodie, be cozy as the authoritarian impulse flails about desperate to push through and consolidate power.
And do it at a discount!
Will you buy a whole new wardrobe designed by me? Maybe.
Will @threadless@threads.net re-share this? I dunno.
Have I oddly made this post seem political? Yes I have!
Buy stuff here: htt…