Tootfinder

"Hey Copilot" – Windows 11 bekommt lokale KI-Agenten
Nicht mehr nur über den Browser, auch für Aktionen mit lokalen Dateien sollen bald KI-Agenten unter Windows arbeiten. Auch auf Zuruf.
https://www.

Large Language Models Meet Legal Artificial Intelligence: A Survey
Zhitian Hou, Zihan Ye, Nanli Zeng, Tianyong Hao, Kun Zeng
https://arxiv.org/abs/2509.09969 https://

Large Language Models Meet Legal Artificial Intelligence: A Survey
Large Language Models (LLMs) have significantly advanced the development of Legal Artificial Intelligence (Legal AI) in recent years, enhancing the efficiency and accuracy of legal tasks. To advance research and applications of LLM-based approaches in legal domain, this paper provides a comprehensive review of 16 legal LLMs series and 47 LLM-based frameworks for legal tasks, and also gather 15 benchmarks and 29 datasets to evaluate different legal capabilities. Additionally, we analyse the chal…

2/2 I continued blogging Alberniweather and on FB and Twitter but I gradually removed my personal self from Facebook and eventually during the Pandemic, I decided the Facebook environment was just too toxic even for weather stuff and I shut down my page and left Facebook completely.
The impact on traffic to Alberniweather.ca and its prominence in the community was, and still is, significant.
I have diehard followers, many who have become friends over the years, I still get the odd call from media, or even the public about random weather things.
I have good connections with a few folks at Environment Canada (though their staff have become thinner and more transient :(
and major events still get spikes of local traffic but I since about 2022, and after I removed myself from Twitter that year, I don’t blog nearly as much. I would do a few posts in a week, and then go months without posting. I just got out of the habit I guess.
But I am still interested in the weather. I still feel like Alberniweather is a useful service for people in my community. I still feel a willing obligation to inform people about the weather and I believe I am trusted to do so by the public and local leaders. I’ve never made any money at it, I sold ad space on the website for a few years but it wasn’t worth the hassle and I didn’t feel comfortable taking the money when I was councillor. I have had some generous spontaneous donations at times.
But mainly I do it because it’s interesting, and I hope it is useful for people especially when people are looking for information during a major event.
The highest traffic I have ever had on Alberniweather pre-FB exit was the local Dog Mountain forest fire in 2015.
post-FB exit: the #underwoodfire
People want easy access to reliable local, trusted, information.
Large media orgs have mostly given up on this.
I am grateful we still have an active local newspaper and radio and that both trust me and I trust them.
@… @…

The thing about arrest quotas is that the important arrests
— folks committing or organizing crimes
— don't tell you where they are.
So if you want to hit your numbers, you need lots of basically law-abiding people you can punish.
-- @joedudekjd.bsky.social

Stephen Miller’s Quota Likely Drove Korean Arrests In Immigration Raid
When ICE agents arrested over 300 Korean workers at a Georgia battery plant, a daily immigrant arrest quota was likely on their minds.

Understanding Outer Optimizers in Local SGD: Learning Rates, Momentum, and Acceleration
Ahmed Khaled, Satyen Kale, Arthur Douillard, Chi Jin, Rob Fergus, Manzil Zaheer
https://arxiv.org/abs/2509.10439 …

Understanding Outer Optimizers in Local SGD: Learning Rates, Momentum, and Acceleration
Modern machine learning often requires training with large batch size, distributed data, and massively parallel compute hardware (like mobile and other edge devices or distributed data centers). Communication becomes a major bottleneck in such settings but methods like Local Stochastic Gradient Descent (Local SGD) show great promise in reducing this additional communication overhead. Local SGD consists of three parts: a local optimization process, an aggregation mechanism, and an outer optimize…

The Local Palate
Hosted by award-winning Geelong restaurateur and columnist Cam O’Keefe, this monthly podcast shares conversations with local legends in food, wine, coffee and hospitality...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/the-local…

"Analysis: England’s most ethnically diverse areas are 15 times more likely to face extreme heat"
#UK #UnitedKingdom #England

Analysis: England’s most ethnically diverse areas are 15 times more likely to face extreme heat - Carbon Brief
Neighbourhoods in England that are home to the most minority-ethnic people are 15 times more likely to face extreme heat than the least diverse areas

Global vs. Local Discrimination of Locally Implementable Multipartite Unitaries
Satyaki Manna, Sneha Suresh, Anandamay Das Bhowmik, Debashis Saha
https://arxiv.org/abs/2509.10430

Global vs. Local Discrimination of Locally Implementable Multipartite Unitaries
We study single-shot distinguishability of locally implementable multipartite unitaries under Local Operations and Classical Communication (LOCC) and global operations. As unitary discrimination depends on both the choice of probing states and the measurements on the evolved states, we classify LOCC and global distinguishability into two categories: adaptive strategies, where probing states are chosen based on measurement outcomes from other subsystems, and restricted strategies, where probing …

Give a round of applause to the Brevard County, FL deputy's office for almost immediately clawing back $1.7m stolen during a real estate transaction BEC scam.
https://www.clickorlando.com/news/local/2025/10/14/hacke…

Hackers scammed Brevard County resident out of over $1.7M, sheriff says
A real estate scam nearly left one Brevard County resident out of over $1.7 million, according to the sheriff’s office on Tuesday.

JustEva: A Toolkit to Evaluate LLM Fairness in Legal Knowledge Inference
Zongyue Xue, Siyuan Zheng, Shaochun Wang, Yiran Hu, Shenran Wang, Yuxin Yao, Haitao Li, Qingyao Ai, Yiqun Liu, Yun Liu, Weixing Shen
https://arxiv.org/abs/2509.12104

JustEva: A Toolkit to Evaluate LLM Fairness in Legal Knowledge Inference
The integration of Large Language Models (LLMs) into legal practice raises pressing concerns about judicial fairness, particularly due to the nature of their "black-box" processes. This study introduces JustEva, a comprehensive, open-source evaluation toolkit designed to measure LLM fairness in legal tasks. JustEva features several advantages: (1) a structured label system covering 65 extra-legal factors; (2) three core fairness metrics - inconsistency, bias, and imbalanced inaccuracy; (3) robu…