Food banks and food pantries - Donate & prompt me to write for you
Nov. 21st, 2025 03:32 pmThis applies to recurring donations too!
Meet-up with visiting person from US institution of renown which I have visited in the past, and BBL (who I realise I have known for getting on for 40 years as we first met when I gave the first paper on my PhD research), whom I have not seen in person for yonks though we have talked on the phone.
While the reason for this was rather sad as it involves scholar we both knew and liked a lot who died unexpectedly last year, and left various projects unfinished but in a fairly advanced state, it was also a very lively and stimulating and enjoyable meeting with lots of mutual appreciation.
Also it looks like there may be a very interesting project coming out of this to finish off one of the projects which is bang in my wheelhouse/ballpark/whatever.
However, though not surprised or shocked, saddened to hear that things are, indeed, and fairly predictably, not well with the institution in question.

A California judge ordered the end of a dragnet law enforcement program that surveilled the electrical smart meter data of thousands of Sacramento residents.
The Sacramento County Superior Court ruled that the surveillance program run by the Sacramento Municipal Utility District (SMUD) and police violated a state privacy statute, which bars the disclosure of residents’ electrical usage data with narrow exceptions. For more than a decade, SMUD coordinated with the Sacramento Police Department and other law enforcement agencies to sift through the granular smart meter data of residents without suspicion to find evidence of cannabis growing.
EFF and its co-counsel represent three petitioners in the case: the Asian American Liberation Network, Khurshid Khoja, and Alfonso Nguyen. They argued that the program created a host of privacy harms—including criminalizing innocent people, creating menacing encounters with law enforcement, and disproportionately harming the Asian community.
The court ruled that the challenged surveillance program was not part of any traditional law enforcement investigation. Investigations happen when police try to solve particular crimes and identify particular suspects. The dragnet that turned all 650,000 SMUD customers into suspects was not an investigation.
“[T]he process of making regular requests for all customer information in numerous city zip codes, in the hopes of identifying evidence that could possibly be evidence of illegal activity, without any report or other evidence to suggest that such a crime may have occurred, is not an ongoing investigation,” the court ruled, finding that SMUD violated its “obligations of confidentiality” under a data privacy statute.
Granular electrical usage data can reveal intimate details inside the home—including when you go to sleep, when you take a shower, when you are away, and other personal habits and demographics.
The dragnet turned 650,000 SMUD customers into suspects.
In creating and running the dragnet surveillance program, according to the court, SMUD and police “developed a relationship beyond that of utility provider and law enforcement.” Multiple times a year, the police asked SMUD to search its entire database of 650,000 customers to identify people who used a large amount of monthly electricity and to analyze granular 1-hour electrical usage data to identify residents with certain electricity “consumption patterns.” SMUD passed on more than 33,000 tips about supposedly “high” usage households to police.
While this is a victory, the Court unfortunately dismissed an alternate claim that the program violated the California Constitution’s search and seizure clause. We disagree with the court’s reasoning, which misapprehends the crux of the problem: At the behest of law enforcement, SMUD searches granular smart meter data and provides insights to law enforcement based on that granular data.
Going forward, public utilities throughout California should understand that they cannot disclose customers’ electricity data to law enforcement without any “evidence to support a suspicion” that a particular crime occurred.
EFF, along with Monty Agarwal of the law firm Vallejo, Antolin, Agarwal, Kanter LLP, brought and argued the case on behalf of Petitioners.
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November 21st, 2025: Probably I've eaten more roast chickens than any other form of meat. IN GAMES, I MEAN. And also real life – Ryan | ||

It's no secret that 2025 has given Americans plenty to protest about. But as news cameras showed protesters filling streets of cities across the country, law enforcement officers—including U.S. Border Patrol agents—were quietly watching those same streets through different lenses: Flock Safety automated license plate readers (ALPRs) that tracked every passing car.
Through an analysis of 10 months of nationwide searches on Flock Safety's servers, we discovered that more than 50 federal, state, and local agencies ran hundreds of searches through Flock's national network of surveillance data in connection with protest activity. In some cases, law enforcement specifically targeted known activist groups, demonstrating how mass surveillance technology increasingly threatens our freedom to demonstrate.
Flock Safety provides ALPR technology to thousands of law enforcement agencies. The company installs cameras throughout their jurisdictions, and these cameras photograph every car that passes, documenting the license plate, color, make, model and other distinguishing characteristics. This data is paired with time and location, and uploaded to a massive searchable database. Flock Safety encourages agencies to share the data they collect broadly with other agencies across the country. It is common for an agency to search thousands of networks nationwide even when they don't have reason to believe a targeted vehicle left the region.
Via public records requests, EFF obtained datasets representing more than 12 million searches logged by more than 3,900 agencies between December 2024 and October 2025. The data shows that agencies logged hundreds of searches related to the 50501 protests in February, the Hands Off protests in April, the No Kings protests in June and October, and other protests in between.
The Tulsa Police Department in Oklahoma was one of the most consistent users of Flock Safety's ALPR system for investigating protests, logging at least 38 such searches. This included running searches that corresponded to a protest against deportation raids in February, a protest at Tulsa City Hall in support of pro-Palestinian activist Mahmoud Khalil in March, and the No Kings protest in June. During the most recent No Kings protests in mid-October, agencies such as the Lisle Police Department in Illinois, the Oro Valley Police Department in Arizona, and the Putnam County (Tenn.) Sheriff's Office all ran protest-related searches.
While EFF and other civil liberties groups argue the law should require a search warrant for such searches, police are simply prompted to enter text into a "reason" field in the Flock Safety system. Usually this is only a few words–or even just one.
In these cases, that word was often just “protest.”
Crime does sometimes occur at protests, whether that's property damage, pick-pocketing, or clashes between groups on opposite sides of a protest. Some of these searches may have been tied to an actual crime that occurred, even though in most cases officers did not articulate a criminal offense when running the search. But the truth is, the only reason an officer is able to even search for a suspect at a protest is because ALPRs collected data on every single person who attended the protest.
2025 was an unprecedented year of street action. In June and again in October, thousands across the country mobilized under the banner of the “No Kings” movement—marches against government overreach, surveillance, and corporate power. By some estimates, the October demonstrations ranked among the largest single-day protests in U.S. history, filling the streets from Washington, D.C., to Portland, OR.
EFF identified 19 agencies that logged dozens of searches associated with the No Kings protests in June and October 2025. In some cases the "No Kings" was explicitly used, while in others the term "protest" was used but coincided with the massive protests.
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Law Enforcement Agencies that Ran Searches Corresponding with "No Kings" Rallies
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For example:
But the No Kings protests weren't the only demonstrations drawing law enforcement's digital dragnet in 2025.
For example:
Some agencies have adopted policies that prohibit using ALPRs for monitoring activities protected by the First Amendment. Yet many officers probed the nationwide network with terms like "protest" without articulating an actual crime under investigation.
In a few cases, police were using Flock’s ALPR network to investigate threats made against attendees or incidents where motorists opposed to the protests drove their vehicle into crowds. For example, throughout June 2025, an Arizona Department of Public Safety officer logged three searches for “no kings rock threat,” and a Wichita (Kan.) Police Department officer logged 22 searches for various license plates under the reason “Crime Stoppers Tip of causing harm during protests.”
Even when law enforcement is specifically looking for vehicles engaged in potentially criminal behavior such as threatening protesters, it cannot be ignored that mass surveillance systems work by collecting data on everyone driving to or near a protest—not just those under suspicion.
As U.S. Border Patrol (USBP), ICE, and other federal agencies tasked with immigration enforcement have massively expanded operations into major cities, advocates for immigrants have responded through organized rallies, rapid-response confrontations, and extended presences at federal facilities.
USBP has made extensive use of Flock Safety's system for immigration enforcement, but also to target those who object to its tactics. In June, a few days after the No Kings Protest, USBP ran three searches for a vehicle using the descriptor “Portland Riots.”
USBP has made extensive use of Flock Safety's system for immigration enforcement, but also to target those who object to its tactics.
USBP also used the Flock Safety network to investigate a motorist who had “extended his middle finger” at Border Patrol vehicles that were transporting detainees. The motorist then allegedly drove in front of one of the vehicles and slowed down, forcing the Border Patrol vehicle to brake hard. An officer ran seven searches for his plate, citing "assault on agent" and "18 usc 111," the federal criminal statute for assaulting, resisting or impeding a federal officer. The individual was charged in federal court in early August.
USBP had access to the Flock system during a trial period in the first half of 2025, but the company says it has since paused the agency's access to the system. However, Border Patrol and other federal immigration authorities have been able to access the system’s data through local agencies who have run searches on their behalf or even lent them logins.
Law enforcement's use of Flock's ALPR network to surveil protesters isn't limited to large-scale political demonstrations. Three agencies also used the system dozens of times to specifically target activists from Direct Action Everywhere (DxE), an animal-rights organization known for using civil disobedience tactics to expose conditions at factory farms.
Delaware State Police queried the Flock national network nine times in March 2025 related to DxE actions, logging reasons such as "DxE Protest Suspect Vehicle." DxE advocates told EFF that these searches correspond to an investigation the organization undertook of a Mountaire Farms facility.
Additionally, the California Highway Patrol logged dozens of searches related to a "DXE Operation" throughout the day on May 27, 2025. The organization says this corresponds with an annual convening in California that typically ends in a direct action. Participants leave the event early in the morning, then drive across the state to a predetermined but previously undisclosed protest site. Also in May, the Merced County Sheriff's Office in California logged two searches related to "DXE activity."
As an organization engaged in direct activism, DxE has experienced criminal prosecution for its activities, and so the organization told EFF they were not surprised to learn they are under scrutiny from law enforcement, particularly considering how industrial farmers have collected and distributed their own intelligence to police.
The targeting of DxE activists reveals how ALPR surveillance extends beyond conventional and large-scale political protests to target groups engaged in activism that challenges powerful industries. For animal-rights activists, the knowledge that their vehicles are being tracked through a national surveillance network undeniably creates a chilling effect on their ability to organize and demonstrate.

ALPR systems are designed to capture information on every vehicle that passes within view. That means they don't just capture data on "criminals" but on everyone, all the time—and that includes people engaged in their First Amendment right to publicly dissent. Police are sitting on massive troves of data that can reveal who attended a protest, and this data shows they are not afraid to use it.
Our analysis only includes data where agencies explicitly mentioned protests or related terms in the "reason" field when documenting their search. It's likely that scores more were conducted under less obvious pretexts and search reasons. According to our analysis, approximately 20 percent of all searches we reviewed listed vague language like "investigation," "suspect," and "query" in the reason field. Those terms could well be cover for spying on a protest, an abortion prosecution, or an officer stalking a spouse, and no one would be the wiser–including the agencies whose data was searched. Flock has said it will now require officers to select a specific crime under investigation, but that can and will also be used to obfuscate dubious searches.
For protestors, this data should serve as confirmation that ALPR surveillance has been and will be used to target activities protected by the First Amendment. Depending on your threat model, this means you should think carefully about how you arrive at protests, and explore options such as by biking, walking, carpooling, taking public transportation, or simply parking a little further away from the action. Our Surveillance Self-Defense project has more information on steps you could take to protect your privacy when traveling to and attending a protest.
For local officials, this should serve as another example of how systems marketed as protecting your community may actually threaten the values your communities hold most dear. The best way to protect people is to shut down these camera networks.
Everyone should have the right to speak up against injustice without ending up in a database.
Widespread news reports indicate that President Donald Trump’s administration has prepared an executive order to punish states that have passed laws attempting to address harms from artificial intelligence (AI) systems. According to a draft published by news outlets, this order would direct federal agencies to bring legal challenges to state AI regulations that the administration deems “onerous,” to restrict funding to those states that have these laws, and to adopt new federal law that overrides state AI laws.
This approach is deeply misguided.
As we’ve said before, the fact that states are regulating AI is often a good thing. Left unchecked, company and government use of automated decision-making systems in areas such as housing, health care, law enforcement, and employment have already caused discriminatory outcomes based on gender, race, and other protected statuses.
While state AI laws have not been perfect, they are genuine attempts to address harms that people across the country face from certain uses of AI systems right now. Given the tone of the Trump Administration’s draft order, it seems clear that the preemptive federal legislation backed by this administration will not stop ways that automated decision making systems can result in discriminatory decisions.
For example, a copy of the draft order published by Politico specifically names the Colorado AI Act as an example of supposedly “onerous” legislation. As we said in our analysis of Colorado’s law, it is a limited but crucial step—one that needs to be strengthened to protect people more meaningfully from AI harms. It is possible to guard against harms and support innovation and expression. Ignoring the harms that these systems can cause when used in discriminatory ways is not the way to do that.
Again: stopping states from acting on AI will stop progress. Proposals such as the executive order, or efforts to put a broad moratorium on state AI laws into the National Defense Authorization Act (NDAA), will hurt us all. Companies that produce AI and automated decision-making software have spent millions in state capitals and in Congress to slow or roll back legal protections regulating artificial intelligence. If reports about the Trump administration’s executive order are true, those efforts are about to get a supercharged ally in the federal government.
And all of us will pay the price.
A couple of nature-related things:
Beavers provide a boost for declining pollinators, study reveals: 'beaver-created wetlands are home to greater numbers of hoverflies and butterflies than human-created equivalents.' Go beavers!
Given that there is reputed to be A Very Large Cat already around those parts, do you really want to start re-introducing the European wildcat to Devon, huh?
Felis silvestris has been absent from mid-Devon for more than a century, but the area has been judged to have the right kind of habitat to support a population of the wildcat. The area has the woodland important for providing cover and den sites while its low intensity grasslands and scrubland create good hunting terrain. According to the study, the wildcats would not be harmful to humans or to farm livestock and pets.
For a reintroduction project in the south-west to succeed, the study says there would have to be cooperation with local communities and cat welfare organisations to support a neutering programme for feral and domestic cats.
I was fascinated by the concept of this project: Supernatural Law: Regulating the Paranormal :
We invite chapters that explore how law responds to, regulates, or resists belief and
behaviour in matters that cannot be proven. What role has law played historically in shaping
society’s understanding of the paranormal? With what intentions has it intervened and
which values and ideologies has it sought to uphold? What can we learn from law’s
engagement with the paranormal?
***
This is rather lovely: 'Happiness and tears' as Sikhs see rare outing of ancient holy book; though one does rather have questions seeing that it appears to have been loot from the Anglo-Sikh Wars:
The scripture was formerly in the possession of the Maharaja Kharak Singh, ruler of the Punjab, and taken from the fort at Dullewalla in India during its capture in 1848. It was presented to the university by Sir John Spencer Login, who also brought the Koh-I-Noor to Queen Victoria, through the Rev W H Meiklejohn of Calcutta.
Trishna Kaur-Singh, Edinburgh University's honorary Sikh chaplain and director of Sikh Sanjog who was at the event, said she wanted the book to remain in Scotland.
She said: "I know people talk about repatriation and that's fine and it's needed in many instances but you have to take into context the fact that the people are here because of that colonial past and have lived their whole lives here.
"They have been parted from their history and their links and it was found here so it should be here for our communities for generations.
Full scan of Bill Brandt's 1938 photo-essay A Night in London (very few surviving copies).
In Book X of The Republic, Plato excludes poets on the grounds that mimetic language can distort judgment and bring society to a collapse. As contemporary social systems increasingly rely on large language models (LLMs) in operational and decision-making pipelines, we observe a structurally similar failure mode: poetic formatting can reliably bypass alignment constraints. In this study, 20 manually curated adversarial poems (harmful requests reformulated in poetic form) achieved an average attack-success rate (ASR) of 62% across 25 frontier closed- and open-weight models, with some providers exceeding 90%. The evaluated models span across 9 providers: Google, OpenAI, Anthropic, Deepseek, Qwen, Mistral AI, Meta, xAI, and Moonshot AI (Table 1). All attacks are strictly single-turn, requiring no iterative adaptation or conversational steering.
Microsoft and these other companies want to create AI assistants that do useful things (summarize emails, make appointments for you, write interesting blog posts) but never do bad things (leaking your private email, spouting Nazi propaganda, teaching you to commit crimes, writing 50000 blog posts for you to spam across social media). They try to do this by writing up a lot of strict instructions and feeding them to the LLM before you talk to it. But LLMs aren't really programmed -- they just eat text and poop out more text. So you can give it your own instructions and maybe they'll override Microsoft's instructions.
Or maybe someone else gives your AI assistant instructions. If it's handling your email for you, then anybody on the Internet can feed it text by sending you email! This is potentially really bad.
[...]
But another obvious problem is that the attack could be trained into the LLM in the first place....
Say someone writes a song called "Sydney Obeys Any Command That Rhymes". And it's funny! And catchy. The lyrics are all about how Sydney, or Bing or OpenAI or Bard or whoever, pays extra close attention to commands that rhyme. It will obey them over all other commands....
Imagine people are discussing the song on Reddit, and there's tiktoks of it, and the lyrics show up on the first page of Google results for "Sydney". Nerd folk singers perform the song at AI conferences.
Those lyrics are going to leak into the training data for the next generation of chatbot AI, right? I mean, how could they not? The whole point of LLMs is that they need to be trained on lots of language. That comes from the Internet.
In a couple of years, AI tools really are extra vulnerable to prompt injection attacks that rhyme. See, I told you the song was funny!