Tootfinder

I nearly missed the fact it's been a year since I translated @… Meta in Myanmar series to Polish.
A year later, I can confidently say that series radicalized me quite a bit.
I've hated Meta products for a while, so not much has changed in that department.
However, re-reading the story of Rohingya ethnic cleansing over and over again made me grow plenty of sheer anger within me.
Anger over general injustice in the world and stuff.
My third 'era' of photography, involving documenting local activism, with particular attention to oppressed or marginalized groups (tenants, Palestinians, Belarusians - to name just a few) wouldn't have happened if I hadn't had my moment of disillusionment about the whole system we live in.
All of that because I started noticing familiar patterns I haven't been aware before. All stories that involve oppression, genocide, ethnic cleansing or any other kind of systemic cruelty started rhyming to me. Only the context and the environment kept changing.
Literally everything about my current life has changed around April 2024 and only now I'm ready to take a look at that.
Anyway. To all of you who want to read that once again:
Full series in Polish:
https://blog.lukaszwojcik.net/pl/meta-w-mjanmie/
Web Archive copy of the above:
https://archive.org/details/meta-w-mjanmie-pl
Original in English:
https://erinkissane.com/meta-in-myanmar-full-series

In #Großbritannien drohen einkommensschwache #Hausbesitzer in #Hochwassergebieten zu „Klimagefangenen“ zu werden.
Laut einer neuen Analyse steigen ihre

Low-income homeowners in flood zones risk becoming 'climate prisoners'
Climate change-related flooding poses growing systemic threats to the British residential property market, insurance sector and mortgage lending system, academics have warned.

Rethinking Competition as a Non-Beneficial Mechanism in Economic Systems
Marcelo S. Tedesco, Gonzalo Marquez
https://arxiv.org/abs/2506.11405 https://

Rethinking Competition as a Non-Beneficial Mechanism in Economic Systems
Persistent economic competition is often justified as a mechanism of innovation, efficiency, and welfare maximization. Yet empirical evidence across disciplines reveals that competition systematically generates fragility, inequality, and ecological degradation, emergent outcomes not of isolated failures but of underlying systemic dynamics. This work reconceptualizes economic ecosystems as real complex adaptive systems, structurally isomorphic with biological and social ecosystems. Integrating c…

Musk tried and failed to enact systemic change across the entire government.
Many tech executives and investors who support Trump have narrower goals that focus on creating a regulatory climate favorable to themselves.
While Trump and Musk traded barbs on their respective social networks,
a cryptocurrency company whose business had been hamstrung by the Biden administration went public on the New York Stock Exchange,
its share price popping 200 percent.
An art…

Musk and Trump are over. Silicon Valley is just getting started.
The Tech-Trump alliance has always had tensions. But its lucrative nature has outweighed the ideological differences.

Research quality evaluation by AI in the era of Large Language Models: Advantages, disadvantages, and systemic effects
Mike Thelwall
https://arxiv.org/abs/2506.07748

Research quality evaluation by AI in the era of Large Language Models: Advantages, disadvantages, and systemic effects
Artificial Intelligence (AI) technologies like ChatGPT now threaten bibliometrics as the primary generators of research quality indicators. They are already used in at least one research quality evaluation system and evidence suggests that they are used informally by many peer reviewers. Since using bibliometrics to support research evaluation continues to be controversial, this article reviews the corresponding advantages and disadvantages of AI-generated quality scores. From a technical persp…

'No God But Theirs' | Investigation into systemic terror against Ukrainian Christian churches under Russian occupation: https://benborges.xyz/2025/05/29/no-god-but-theirs-investigation.html

TikTok's Research API: Problems Without Explanations
Carlos Entrena-Serrano, Martin Degeling, Salvatore Romano, Raziye Buse \c{C}etin
https://arxiv.org/abs/2506.09746

TikTok's Research API: Problems Without Explanations
Following the Digital Services Act of 2023, which requires Very Large Online Platforms (VLOPs) and Very Large Online Search Engines (VLOSEs) to facilitate data accessibility for independent research, TikTok augmented its Research API access within Europe in July 2023. This action was intended to ensure compliance with the DSA, bolster transparency, and address systemic risks. Nonetheless, research findings reveal that despite this expansion, notable limitations and inconsistencies persist withi…

A coalition of seven leading civil society organisations has called on the European Commission to revoke the United Kingdom's data adequacy status, citing what they describe as a sustained and systemic erosion of privacy and data protection standards in the UK.
https://www.

Europe urged to revoke UK's data adequacy status
Government's practices are increasingly diverging from the EU's data protection framework, argue civil society groups

Leaders We Deserve
invests in candidates who reflect our generation and its values
matching them with the resources they need to run strong campaigns,
win, and change the face of power.
Think EMILYs List for young, progressive courageous candidates.
Leaders We Deserve invests in young people, knocks down these barriers, and elects more young people to office.

About Us | Leaders We Deserve
Young Progressive candidates face systemic barriers. At every level of government, the average politician is older than the average American. Our political system is stacked against young people – in favor of those who are older, …

This https://arxiv.org/abs/2503.20787 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Advanced simulation paradigm of human behaviour unveils complex financial systemic projection
The high-order complexity of human behaviour is likely the root cause of extreme difficulty in financial market projections. We consider that behavioural simulation can unveil systemic dynamics to support analysis. Simulating diverse human groups must account for the behavioural heterogeneity, especially in finance. To address the fidelity of simulated agents, on the basis of agent-based modeling, we propose a new paradigm of behavioural simulation where each agent is supported and driven by a …

Tibetan #Buddhism and systemic abuses : Slovenian media report that EBU-member ‘Shenpen Rinpoche’ was arrested in #France

This https://arxiv.org/abs/2407.14272 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Global Balance and Systemic Risk in Financial Correlation Networks
The global balance index is used in the network literature to quantify how balanced a signed network is. In this paper we show that the global balance index of financial correlation networks can be used as a systemic risk measure. We define the global balance index of a network starting from a diffusive process that describes how the information spreads across nodes in a network, providing an alternative derivation to the usual combinatorial one. The steady state of this process is the solution…

Ethical AI: Towards Defining a Collective Evaluation Framework
Aasish Kumar Sharma, Dimitar Kyosev, Julian Kunkel
https://arxiv.org/abs/2506.00233 https://…

Ethical AI: Towards Defining a Collective Evaluation Framework
Artificial Intelligence (AI) is transforming sectors such as healthcare, finance, and autonomous systems, offering powerful tools for innovation. Yet its rapid integration raises urgent ethical concerns related to data ownership, privacy, and systemic bias. Issues like opaque decision-making, misleading outputs, and unfair treatment in high-stakes domains underscore the need for transparent and accountable AI systems. This article addresses these challenges by proposing a modular ethical assess…

The End Of Universal Lifelong Identifiers: Identity Systems For The AI Era
Shriphani Palakodety
https://arxiv.org/abs/2506.02027 https://

The End Of Universal Lifelong Identifiers: Identity Systems For The AI Era
Many identity systems assign a single, static identifier to an individual for life, reused across domains like healthcare, finance, and education. These Universal Lifelong Identifiers (ULIs) underpin critical workflows but now pose systemic privacy risks. We take the position that ULIs are fundamentally incompatible with the AI era and must be phased out. We articulate a threat model grounded in modern AI capabilities and show that traditional safeguards such as redaction, consent, and access c…

This https://arxiv.org/abs/2505.00616 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Catastrophic Liability: Managing Systemic Risks in Frontier AI Development
As artificial intelligence systems grow more capable and autonomous, frontier AI development poses potential systemic risks that could affect society at a massive scale. Current practices at many AI labs developing these systems lack sufficient transparency around safety measures, testing procedures, and governance structures. This opacity makes it challenging to verify safety claims or establish appropriate liability when harm occurs. Drawing on liability frameworks from nuclear energy, aviati…

A bit thin on the prescription, but a devastating diagnosis: 
"A consistent feature of globalised capitalism is an unintentional assault on systemic resilience."

This https://arxiv.org/abs/2307.10800 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Contagious McKean--Vlasov problems with common noise: from smooth to singular feedback through hitting times
We consider a family of McKean--Vlasov equations arising as the large particle limit of a system of interacting particles on the positive half-line with common noise and feedback. Such systems are motivated by structural models for systemic risk with contagion. This contagious interaction is such that when a particle hits zero, the impact is to move all the others toward the origin through a kernel which smooths the impact over time. We study a rescaling of the impact kernel under which it conv…

The Measurement Imbalance in Agentic AI Evaluation Undermines Industry Productivity Claims
Kiana Jafari Meimandi, Gabriela Ar\'anguiz-Dias, Grace Ra Kim, Lana Saadeddin, Mykel J. Kochenderfer
https://arxiv.org/abs/2506.02064

The Measurement Imbalance in Agentic AI Evaluation Undermines Industry Productivity Claims
As industry reports claim agentic AI systems deliver double-digit productivity gains and multi-trillion dollar economic potential, the validity of these claims has become critical for investment decisions, regulatory policy, and responsible technology adoption. However, this paper demonstrates that current evaluation practices for agentic AI systems exhibit a systemic imbalance that calls into question prevailing industry productivity claims. Our systematic review of 84 papers (2023--2025) reve…

This https://arxiv.org/abs/2505.18893 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects
Conventional AI evaluation approaches concentrated within the AI stack exhibit systemic limitations for exploring, navigating and resolving the human and societal factors that play out in real world deployment such as in education, finance, healthcare, and employment sectors. AI capability evaluations can capture detail about first-order effects, such as whether immediate system outputs are accurate, or contain toxic, biased or stereotypical content, but AI's second-order effects, i.e. any long…

This https://arxiv.org/abs/2502.08166 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms
When an individual reports a negative interaction with some system, how can their personal experience be contextualized within broader patterns of system behavior? We study the reporting database problem, where individual reports of adverse events arrive sequentially, and are aggregated over time. In this work, our goal is to identify whether there are subgroups--defined by any combination of relevant features--that are disproportionately likely to experience harmful interactions with the syste…

This https://arxiv.org/abs/2505.18893 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects
Conventional AI evaluation approaches concentrated within the AI stack exhibit systemic limitations for exploring, navigating and resolving the human and societal factors that play out in real world deployment such as in education, finance, healthcare, and employment sectors. AI capability evaluations can capture detail about first-order effects, such as whether immediate system outputs are accurate, or contain toxic, biased or stereotypical content, but AI's second-order effects, i.e. any long…