“Throughout the pandemic, the median view of good housing policy—supported by landlord associations, tenant advocates, and policy wonks of all ideological stripes—has been to have the federal government fund rent relief. That way, the providers of rental housing can pay their bills, and financially pressed renters aren’t forced onto the streets or into more crowded living situations.
Despite these funds being appropriated for rent relief programs, actually getting money to people continues to be a major challenge.”
“Nicole Harper, pregnant with her daughter, was driving her SUV home on a Arkansas freeway in July 2020 when Arkansas State trooper Rodney Dunn decided to stop her for allegedly driving 84 in a 70 mph zone. He turned on his lights in an attempt to make her pull over.
Following what she understood to be standard safe procedure in this situation, Harper moved into the right lane, slowed down, turned on her hazards to indicate to the officer that she understood what was going on, and was seeking a safe shoulder or exit to pull over.
No sane person could have imagined, given Harper’s behavior, that she was involved in any active attempt to escape the raw justice of a speeding ticket. Fewer than two or three minutes had passed since the cop first turned on his lights.
Corporal Dunn was having none of that. Using an insanely dangerous strategy that police in Arkansas are using more and more—144 times last year, double the number of times the year before—he slammed into her SUV causing her to hit the concrete median, flipping her SUV. The practice, called the “precision immobilization technique” (PIT), killed at least three people in 2020.”
“The Court’s ruling is a crash course in the lopsided logic behind qualified immunity, which requires that the facts of any given case be reflected almost identically in a previous case should a victim of government abuse want the privilege of bringing their suit before a jury.”
“Chinese artificial intelligence (A.I.) researchers at the Beijing Academy of Artificial Intelligence (BAAI) unveiled Wu Dao 2.0, the world’s biggest natural language processing (NLP) model. And it’s a big deal.
NLP is a branch of A.I. research that aims to give computers the ability to understand text and spoken words and respond to them in much the same way human beings can.
Last year, the San Francisco–based nonprofit A.I. research laboratory OpenAI wowed the world when it released its GPT-3 (Generative Pre-trained Transformer 3) language model. GPT-3 is a 175 billion–parameter deep learning model trained on text datasets with hundreds of billions of words. A parameter is a calculation in a neural network that shapes the model’s data by assigning to each chunk a greater or lesser weighting, thus providing the neural network a learned perspective on the data.
Back in November, The New York Times reported that GPT-3 “generates tweets, pens poetry, summarizes emails, answers trivia questions, translates languages and even writes its own computer programs, all with very little prompting.” GPT-3, move on over. Wu Dao 2.0 is here.
Wu Dao 2.0 (Chinese for enlightenment) is ten times larger than GPT-3, using 1.75 trillion parameters to simulate conversational speech, write poems, understand pictures, and even generate recipes. In addition, as the South China Morning Post reports, Wu Dao 2.0 is multimodal, covering both Chinese and English with skills acquired by studying 4.9 terabytes of images and texts, including 1.2 terabytes each of Chinese and English texts.
“Wu Dao 2.0’s mulitmodal design affords it a range of skills, including the ability to perform natural language processing, text generation, image recognition, and image generation tasks,” reports VentureBeat. “It can write essays, poems, and couplets in traditional Chinese, as well as captioning images and creating nearly photorealistic artwork, given natural language descriptions.” In addition, Wu Dao 2.0 can predict the 3D structures of proteins, like DeepMind’s AlphaFold, and can also power “virtual idols.” Just recently, BAAI researchers unveiled Hua Zhibing, China’s first A.I.-powered virtual student”
“”Not only was my stuff taken without just cause…It was taken by my own government, and they were asking me to prove my innocence and subject myself to an investigation to get my stuff back, which was unlawfully taken to begin with, and had no evidentiary value.”
Perhaps most pitiful is that the Snitkos are two of the lucky ones in this story. That word feels ill-fitting for anyone in their shoes. But while the FBI has acquiesced to giving select deposit boxes back, including the one owned by the Snitkos, they are refusing to surrender others, seeking instead to keep a collective $85 million in cash and an unspecified amount of gold, silver, and precious metals from unsuspecting people.
That includes Travis May, who stored gold and $63,000 in cash, and Joseph Ruiz, who had $57,000 in his box—his life savings, which he uses to pay his living and medical expenses, according to a recently amended lawsuit.
“After the government seized this property on March 22, 2021, [Ruiz] filed a claim with the FBI to retrieve it,” notes the complaint from the Institute for Justice (IJ), a libertarian public interest law firm representing both men. “However, the government has informed attorneys for USPV that it intends to civilly forfeit Joseph’s property. At this time, the government has not provided Joseph with any notice of the purported civil forfeiture proceeding.””
…
“Should the government succeed, plaintiffs Jeni Verdon-Pearsons and Michael Storc, for instance, will forcibly donate their silver, though the suit notes that they, too, have not been provided with “the factual or legal basis for the purported civil forfeiture proceeding.””
“On Wednesday, CNN Executive Vice President and General Counsel David Vigilante made a revelation sure to startle those unaware of the state’s vast power to not just seize information from journalists but bully their employers into silence about it under penalty of jail time.
“Since July 17, 2020,” Vigilante wrote, “I have been bound by a gag order or a sealing order that prohibited me from discussing, or even acknowledging, that the government was seeking to compel the disclosure of the professional email communications of CNN reporter Barbara Starr.”
The Justice Department under Attorney General William Barr had been requesting email header data and phone logs of Starr, a Pentagon reporter, dating from June 1 to July 31 of 2017, for reasons that are still unknown to any third parties aside from some federal judges operating a secret court. (Starr herself was not the target of the investigation, the feds confirmed to reporters.)
The Trump administration launched a crackdown in 2017 against national security-related leaks, an effort that led to the secret seizure of three Washington Post reporters’ phone records, which was revealed only last month. In doing so, former President Donald Trump’s DOJ prosecutors followed the rules and legal justifications established by their predecessors in the Obama administration, which prosecuted more leakers than every prior presidency combined, even charging Fox News White House chief James Rosen as “at the very least, either…an aider, abettor, and/or co-conspirator.””
…
“one of the only judges to lay eyes on the DOJ’s reasoning for harassing CNN concluded that it was based on “speculative predictions, assumptions, and scenarios unanchored in any facts.”
Commented CNN’s Vigilante: “This was the first characterization of the evidence we had seen, and it was stunning: After months of secret proceedings and heavy-handed enforcement tactics, a neutral judge said that, in large part, the emperor had no clothes.””
…
“As Nick Gillespie and I wrote six years ago, “From press accounts of similar actions at other news publications and social media sites, we know that it is increasingly common for the federal government to demand user information from publications and websites while also stifling their speech rights with gag orders and letters requesting ‘voluntary’ confidentiality.””
…
“while the increasing but still comparatively rare open clashes between the DOJ and news organizations tend to make headlines, the real data collection is happening every day, quietly, in the form of requests and subpoenas to social media companies and other third-party vendors.”