Tootfinder

If a not-for-profit for-profit privacy-protecting company funded by surveillance capitalism isn’t trustworthy, I don’t know what is. @… https://polymaths.social/@c…

As for other things, like looking up medical advice, "traditional" search engines on the Internet worked much better than any LLM to get you to trustworthy sources of information.

Analysis: Gemini 3-based AI Overviews are accurate ~90% of the time, meaning across 5T searches per year, tens of millions of answers are erroneous every hour (New York Times)
https://www.nytimes.com/2026/04/07/technology/google-ai-overviews-accuracy.html

New post: Bytekit: Generating Passwords (online)
#blog

The Price is Right: Responsible Uses of Personal Data in Pricing
https://fpf.org/blog/the-price-is-right-responsible-uses-of-personal-data-in-pricing/
@…

Authoritative national news is shrinking, maybe faster than local news did; supporters of trustworthy news need to move quickly past grief toward solutions (Ken Doctor/Nieman Lab)
https://www.niemanlab.org/2026/03/newsonomics-will-nati…

#Leanstral: #OpenSource foundation for trustworthy #vibecoding
https://

A research project led by the University of Glasgow has launched a free, open-source tool designed to make AI systems more trustworthy by enabling more rigorous audits, including by non-experts.
https://www.computing.co.uk/news/2026/ai/uk-research…

I don't understand the Kurds. Darth #Trump already betrayed them once during his first presidency, costing many Kurds their lives.
Now they want to try again? Trump is a liar, a coward, and anything but trustworthy.
#Iran

Steve Bannon, Susan Rice, and Richard Branson among the broad coalition of leaders signing the Future of Life Institute's Pro-Human AI Declaration (Jared Perlo/NBC News)
https://www.nbcnews.com/tech/tech-news/-human…

So Anthropic employees are using Claude Code to contribute AI-generated code to open source repositories and hiding the fact using their own internal “undercover mode”.
Totally trustworthy people.
(Any open source project that at the very least requires disclosure of AI-authored contributions should immediately ban Anthropic employees on principle.)
#AI

"Even if #OpenAI was run by decent, ethical, friendly, trustworthy people (which would then of course make them not work on the products OpenAI has, but it’s just a thought experiment) their products would need to be criticized for what they are and what they do." — @…

SAVE Act wants everyone to get passports & birth certificates in order to vote. Passports & Birth Certificates are delivered by US mail…because US mail is trustworthy enough to deliver those. SAVE Act also wants to outlaw voting by US mail…because US mail is untrustworthy for votes?
SAVE Act is voter suppression by another name. And a poll tax. GOP can't win without banning some people from voting. Logic, ethics, & Justice have nothing to do w/SAVE Act. Stop pretending …

How do you trust a new Linux Distribution?
Who do you trust (… and how do you trust the new Linux Distribution StageX?) Do you trust your best friend from childhood? Do you trust your chosen Distribution for your Homelab? For your Workplace?
— by Zoë's Blog
🧑‍💻 https://kron.fi/en/posts/stagex-web-of

You want to stay up to date with trustworthy news coming out of Minnesota.
Below,⬇️ I’ve compiled outlets and individuals documenting and contextualizing the federal government’s assault on The North Star State
with links to their websites and social media presences.
Follow them and get to spreading the information Americans need to see.
I’m including some social media accounts because eyewitness footage is important to the public interest at a time when we know the …

"According to the report, the spearphishing emails relied on links that appeared trustworthy because they passed through legitimate online advertising and click-tracking systems commonly used to track user engagement."
North Korea-linked hackers pose as human rights activists, report says
<…

I think I need to put into my talk this line that keeps running through my head
So many leaders want people to trust them, which is exactly backwards
In organizations, positions are typically appointed through the hierarchy and authority of the organization. However, like trust, "leadership" is earned: slowly built and quickly lost.
Asking how to earn trust means admitting you have failed, and more importantly means committing to a change. If you don't uphold…

There is one thing that American don't seem to understand about Canadians.
For us, there is no "after Trump".
They have elected him... twice!
What guarantee do we have that they won't re-elect some other fascist moron in 4 years, 10 years or whatever?
None. There is none.
We have to assume the population of the whole country is not trustworthy and distance ourselves from them as much as possible.

To ship better software, you need to hire expert people (it won’t be cheap) and work on research what problems your customers face, proper design (across many disciplines, from graphic design, interface design, user experience and all the way to the high-level and low-level technical implementation), realistic planning, marketing to reach potential customers and definitely spend a lot of time on building trustworthy relationships with your users.

@…

Minimize dependency on the irrational nation states, build deterrence against aggression, build alliances with other trustworthy rational nations.
The UNSC has been less and less relevant and is now largely useless.

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[1/6]:
- Towards Attributions of Input Variables in a Coalition
Xinhao Zheng, Huiqi Deng, Quanshi Zhang
https://arxiv.org/abs/2309.13411
- Knee or ROC
Veronica Wendt, Jacob Steiner, Byunggu Yu, Caleb Kelly, Justin Kim
https://arxiv.org/abs/2401.07390
- Rethinking Disentanglement under Dependent Factors of Variation
Antonio Almud\'evar, Alfonso Ortega
https://arxiv.org/abs/2408.07016 https://mastoxiv.page/@arXiv_csLG_bot/112959235461894530
- Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching
Etrit Haxholli, Yeti Z. Gurbuz, Ogul Can, Eli Waxman
https://arxiv.org/abs/2411.00759 https://mastoxiv.page/@arXiv_csLG_bot/113423933393275133
- Predicting Subway Passenger Flows under Incident Situation with Causality
Xiannan Huang, Shuhan Qiu, Quan Yuan, Chao Yang
https://arxiv.org/abs/2412.06871 https://mastoxiv.page/@arXiv_csLG_bot/113632934357523592
- Characterizing LLM Inference Energy-Performance Tradeoffs across Workloads and GPU Scaling
Paul Joe Maliakel, Shashikant Ilager, Ivona Brandic
https://arxiv.org/abs/2501.08219 https://mastoxiv.page/@arXiv_csLG_bot/113831081884570770
- Universality of Benign Overfitting in Binary Linear Classification
Ichiro Hashimoto, Stanislav Volgushev, Piotr Zwiernik
https://arxiv.org/abs/2501.10538 https://mastoxiv.page/@arXiv_csLG_bot/113872351652969955
- Safe Reinforcement Learning for Real-World Engine Control
Julian Bedei, Lucas Koch, Kevin Badalian, Alexander Winkler, Patrick Schaber, Jakob Andert
https://arxiv.org/abs/2501.16613 https://mastoxiv.page/@arXiv_csLG_bot/113910356206562660
- A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers
Roman Tarasov, Petr Mokrov, Milena Gazdieva, Evgeny Burnaev, Alexander Korotin
https://arxiv.org/abs/2502.01310
- Improving the Convergence of Private Shuffled Gradient Methods with Public Data
Shuli Jiang, Pranay Sharma, Zhiwei Steven Wu, Gauri Joshi
https://arxiv.org/abs/2502.03652 https://mastoxiv.page/@arXiv_csLG_bot/113961314098841096
- Using the Path of Least Resistance to Explain Deep Networks
Sina Salek, Joseph Enguehard
https://arxiv.org/abs/2502.12108 https://mastoxiv.page/@arXiv_csLG_bot/114023706252106865
- Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence
Wenzhe Yin, Zehao Xiao, Pan Zhou, Shujian Yu, Jiayi Shen, Jan-Jakob Sonke, Efstratios Gavves
https://arxiv.org/abs/2502.17028 https://mastoxiv.page/@arXiv_csLG_bot/114063477202397951
- Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster
Sharan Vaswani, Reza Babanezhad
https://arxiv.org/abs/2503.00229 https://mastoxiv.page/@arXiv_csLG_bot/114103018985567633
- Semantic Parallelism: Redefining Efficient MoE Inference via Model-Data Co-Scheduling
Yan Li, Zhenyu Zhang, Zhengang Wang, Pengfei Chen, Pengfei Zheng
https://arxiv.org/abs/2503.04398 https://mastoxiv.page/@arXiv_csLG_bot/114120014622063602
- A Survey on Federated Fine-tuning of Large Language Models
Wu, Tian, Li, Sun, Tam, Zhou, Liao, Xiong, Guo, Li, Xu
https://arxiv.org/abs/2503.12016 https://mastoxiv.page/@arXiv_csLG_bot/114182234054681647
- Towards Trustworthy GUI Agents: A Survey
Yucheng Shi, Wenhao Yu, Jingyuan Huang, Wenlin Yao, Wenhu Chen, Ninghao Liu
https://arxiv.org/abs/2503.23434 https://mastoxiv.page/@arXiv_csLG_bot/114263024618476521
- CONTINA: Confidence Interval for Traffic Demand Prediction with Coverage Guarantee
Chao Yang, Xiannan Huang, Shuhan Qiu, Yan Cheng
https://arxiv.org/abs/2504.13961 https://mastoxiv.page/@arXiv_csLG_bot/114380404041503229
- Regularity and Stability Properties of Selective SSMs with Discontinuous Gating
Nikola Zubi\'c, Davide Scaramuzza
https://arxiv.org/abs/2505.11602 https://mastoxiv.page/@arXiv_csLG_bot/114538965060456498
- RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization
Alonso Urbano, David W. Romero, Max Zimmer, Sebastian Pokutta
https://arxiv.org/abs/2505.13289 https://mastoxiv.page/@arXiv_csLG_bot/114539124884913788
- RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
Yilang Zhang, Bingcong Li, Georgios B. Giannakis
https://arxiv.org/abs/2505.18877 https://mastoxiv.page/@arXiv_csLG_bot/114578778213033886
- SuperMAN: Interpretable and Expressive Networks over Temporally Sparse Heterogeneous Data
Bechler-Speicher, Zerio, Huri, Vestergaard, Gilad-Bachrach, Jess, Bhatt, Sazonovs
https://arxiv.org/abs/2505.19193 https://mastoxiv.page/@arXiv_csLG_bot/114578790124778172
toXiv_bot_toot

Good Morning #Canada
Today we all finally come to our senses and bow down to the knowledge of prognosticating rodents. Yes, it's #GroundHogDay2026. Beyond the obvious impact of totally rearranging your next 6 weeks based on the prediction of some small mammal, or lobster, there is the economic impact. Wharton, Ontario, a town of 1,900 seemingly sensible Canadians will generate enough tourism dollars to keep Willie in the lifestyle to which he is accustomed.
Some rodent in Pennsylvania has already predicted 6 more weeks of winter, but let's face facts, the U.S. is not really trustworthy these days. Lucy the Lobster in Nova Scotia and Fred La Marmotte in Quebec are both reporting an early spring. The link below provides an update from others across Canada.
Why don't we have a prognosticating beaver?
#CanadaIsAwesome #Weather
https://www.theweathernetwork.com/en/news/weather/forecasts/groundhog-day-2026

Trump is now implying that Canada is dependent on the USA acquiring Greenland in order for it to gain “protection” under the “golden dome”.
It is time for Canada to end its participation in the Golden Dome and NORAD until the USA once again becomes a trustworthy global nation.
We cannot be dragged into complicity with international crimes.
It is time for Canadians to have a very very deep discussion about our military, our own expectations, and our neighbour. The days of “the longest unguarded border” are gone.
We need to consider a much more European stance. A much more Ukrainian stance.
#canpoli #cdnpoli #usa #nato #norad #russiaUkraineWar #theAmericanFascist
https://www.trumpstruth.org/statuses/34583