
Trying To Wrap Our Heads Around The Federal Fertilizer Emissions Plan — A Timeline Of How We Got To This Point

The Canadian government’s plan to reduce emissions from nitrogen fertilizer has gained widespread attention over the last few weeks, with plenty of unanswered questions and uncertainty surrounding the proposal.
Originally announced in late 2020, the plan to reduce nitrous oxide (N2O) emissions from synthetic fertilizer by 30 per cent in 2030 relative to a 2020 baseline has raised concern about the possibility of restrictions on fertilizer use and a consequential drop in crop yields.
Jagmeet Singh Warns Justin Trudeau Their Deal Is Dead If No Dental Plan By Year’s End

It was always going to be a gamble.
Waging one’s reputation on the actions of someone else.
But NDP Leader Jagmeet Singh is clear, he isn’t bluffing.
If the centrepiece of the NDP-Liberal supply and confidence agreement — a new dental program for low-income children under 12 — isn’t implemented by year’s end, Singh tells the Star he’ll walk away from the deal.
Vital Signs Of Trouble: Many Ontario Nurses Fleeing To Take U.S. Jobs

Nurse Linda Li is one of many in her profession who are so fed up with deteriorating working conditions in Ontario, they’ve taken their badly-needed skills to the United States.
“I hated it in Ontario that much that I left. I didn’t care,” said Li, who now works at Houston’s Methodist Hospital.
They want to change policy to force others to gender them correctly or face consequences for misgendering pic.twitter.com/th5tiNiBLY
— Libs of TikTok (@libsoftiktok) August 7, 2022
American Revolution Images Might Reveal You as a ‘Violent Extremist,’ Says the FBI

When the FBI puts out a bulletin on symbols “used by Anti-Government or Anti-Authority Violent Extremists,” and it looks like a catalog of T-shirts half the country might want to wear, it’s a strong indication that the feds are way off-base. It gets even sillier when part of the bulletin resembles a brochure for a Revolutionary War museum. Then again, George Washington and the Continental Army were, arguably, “Anti-Government or Anti-Authority Violent Extremists,” which is a reminder that governments aren’t necessarily the good guys.
WaPo: Did Senate Dems Sell Us A Bill Of Goods On Climate Change Too?

So what exactly does $369 billion buy us in climate-change impact? “Questions loom,” reads the sub-head at the Washington Post, and for good reason. After Senate Democrats spent the day bragging about passing the biggest package of spending to fight global warming, the Post immediately tried to downplay expectations.
The Censorship Software Ruining Your Lives Finally Exposed

Censorship software in the West originates from certain left-leaning think tanks that refer to themselves as “Counter Violent Extremists” (CVEs). Many CVE groups have developed content moderation techniques, but this essay will focus on the predominant developer, Jigsaw, a special CVE owned by Google. With the data advantage of Google Search / YouTube, Jigsaw is a formidable foe to privacy and social networking.
Jigsaw partnered with the New York Times on “content moderation” for the newspaper’s social media pages 1 and to test Jigsaw’s first program, Perspective API. 2 At the time, the program simply deleted or hid comments that clients (such as the New York Times) found disagreeable. A client could use the text-based AI program to highlight keywords so that the client could more conveniently browse, rather than browse through all comments to find “toxic” ones. The Client could also allow the text AI program to simply delete or hide the comments itself rather than the Client having to be explicitly involved in the process at all. Comments could be deleted or hidden before ever being published on comment sections, and some users may not realize that his/her comment was deleted (early “shadowbanning”). This provides obscurity to the client and prevents the likelihood of user scrutiny.
As this machine-learning (or text-based or speech-based AI) was improved, it expanded to include images and video as well as text.
