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The Best Food Gifts on Goldbelly


Prices taken at time of publishing.

I started ordering this Russ & Daughters package during the early days of the pandemic to lift my mood and it has since become one of my go-to gifts, particularly for new parents in the height of sleep deprivation: A dozen bagels (I recommend immediately freezing some since a dozen is kind of a lot for a small family), fixins, and a half-pound each of gravlax, pastrami-cured salmon, and Scottish smoked salmon. If you’re feeling generous, add an order of salmon roe which takes any salmon-topped bagel over the top.



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Why The Russiagate Scandal Outranks Every Other In History


By J. Peder Zane for RealClearPolitics

Russiagate is the biggest scandal in American history.

Nothing comes close in size, scope or harm to the republic than the years-long effort to cripple Donald Trump’s presidency by claiming he conspired with an enemy state to steal the 2016 election and then do its bidding as commander-in-chief.

Its notorious predecessors – L’Affaire Lewinsky, Iran-Contra, Watergate, Teapot Dome, Crédit Mobilier, the XYZ Affair – involved relatively small numbers of malefactors engaged in specific acts of illegality and corruption (we still don’t know who, if anyone, planned the Jan. 6 assault on the U.S. Capitol)

Russiagate, by contrast, is a vast conspiracy involving innumerable powerful forces, including the Democratic Party, NeverTrump Republicans, the Obama administration, the FBI, Department of Justice and the nation’s most prestigious news outlets.

RELATED: John Durham Is Getting Close To The Jugular

Where previous scandals often ended with public accountability for the perpetrators – Watergate saw the imprisonment of top White House aides and President Nixon’s resignation – and public reforms, Russiagate has produced no such reckoning.

Russiagate began with a kernel of truth: Someone – probably Russians, though we still don’t know for sure – hacked the Democratic National Committee and Hillary Clinton’s private server. Fearful of what might be released, the Clinton campaign tried to discredit any damaging material by raising dark questions about its source. (Joe Biden executed this same strategy to great effect when he falsely described the evidence of corruption found on his son Hunter’s laptop as “Russian disinformation.”)

In response, the Clinton campaign financed an absurd collection of conspiracy theories involving peeing prostitutes and billion-dollar bribes, the so-called Steele dossier. Its importance cannot be overstated – it was the dossier that linked the Trump campaign to the hacking.

No dossier, no collusion theory.

During the summer and fall of 2016, Hillary’s henchmen fed this preposterous concoction to Obama administration officials in the DOJ, FBI, CIA and State Department. Everyone knew it was a political operation: Declassified notes showed that then-CIA Director John Brennan briefed President Obama in July 2016 that Clinton planned to tie Trump to Russia as “a means of distracting the public from her use of a private email server.”

Clinton staffers – including Jake Sullivan, who now serves as Biden’s national security adviser – tried to interest the mainstream press in its scurrilous accusations, but got little traction because they could not be verified. Instead of laughing it all off as transparent campaign mud-slinging, however, the FBI joined the conspiracy.

The bureau took the extreme step of opening a counter-intelligence probe into an ongoing presidential campaign – and its agents perjured themselves to obtain wire-tapping warrants.

Days after the November election, Hillary’s campaign focused on “Russian interference” as a chief reason for her defeat. On Jan. 5, 2017, President Obama, Vice President Biden and other key leaders met with FBI Director James Comey in the Oval Office to discuss Russia-related matters.

RELATED: New Twists In Durham Probe: FBI Danchenko Recordings And Suspicions Fiona Hill Lied

We do not know what was discussed in that meeting, but the next day, Comey briefed President-elect Trump on some allegations in the Steele dossier. Four days later, on Jan. 10, CNN used that briefing as a news hook to report the collusion conspiracy theories as high-drama news.

Over the next few months and years, current and former officials illegally fed misleading classified material and partisan anonymous quotes to the New York Times, Washington Post, NBC News and other sympathetic press outlets to advance the narrative. Brennan and former National Director of Intelligence James Clapper became a constant presence on cable news, using the top-secret authority of their previous positions to assure the public that collusion was real – although in sworn testimony, Clapper admitted he had not seen such evidence.

Congressional Democrats, including Nancy Pelosi and Rep. Adam Schiff – who falsely claimed to have seen “more than circumstantial evidence” of Trump/Russia collusion – amplified the smears.

The appointment of Special Counsel Robert Mueller to investigate the fantasy in May 2017 fueled the fire. His effort became part of the scheme: He only looked for evidence that might implicate Trump, ignoring questions about who cooked up the conspiracy theory, how they disseminated it throughout the government and media, and the laws they might have broken in the process.

Despite his best effort, Mueller said he’d found no evidence of collusion when he released his report in April 2019. That should have killed the conspiracy theory and – following the script of previous major scandals – sparked a period of reflection by the government, the media and the American people that asked: How did we get this so wrong?

Such a broad reckoning has not yet happened. DoJ Inspector General Michael Horowitz’s 2020 report detailing grave abuses in the FBI’s handling of the matter prompted little outcry and no sweeping reform. The recent indictments of Clinton-connected actors filed by Special Counsel John Durham – who is finally doing the work Mueller should have, exposing the malfeasance that actually transpired during the 2016 campaign – have, bizarrely, led partisans to minimize his findings and actually double-down on the debunked collusion narrative.

Recent pieces in The Atlantic and New York Times, for example, suggest, without evidence, that “Mueller never definitively got to the bottom of what happened.”

RELATED: Stone-Cold Reality: Ukrainian Entry Into NATO Would Make War More, Not Less, Likely

As Aaron Maté recently reported for RealClearInvestigations, many news organizations have refused to correct documented errors in Trump/Russia coverage, including deeply flawed articles thatwere awarded a Pulitzer Prize.

Leading peddlers of the hoax – including Brennan, Clapper, Pelosi, Schiff and Sullivan – have paid no price for their actions. To date, no one has conducted probing interviews with Hillary Clinton or Barack Obama about their roles in the scandal.

Engineered by broad swaths of the government and media, the effort to paint a sitting president as a foreign agent alone makes Russiagate the worst scandal in American history. But it is this second, still ongoing  phase – this willful effort to deny  what happened, this refusal to hold the  perpetrators accountable – that presents the most serious danger to our nation.

If truth and justice don’t matter, what does?

Syndicated with permission from RealClearWire.

J. Peder Zane is an editor for RealClearInvestigations and a columnist for RealClearPolitics.

The opinions expressed by contributors and/or content partners are their own and do not necessarily reflect the views of The Political Insider.





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Meta’s prototype moderation AI only needs a few examples of bad behavior to take action


Moderating content on today’s internet is akin to a round of Whack-A-Mole with human moderators continually forced to react in realtime to changing trends, such as vaccine mis- and disinformation or intentional bad actors probing for ways around established personal conduct policies. Machine learning systems can help alleviate some of this burden by automating the policy enforcement process, however modern AI systems often require months of lead time to properly train and deploy (time mostly spent collecting and annotating the thousands, if not millions of, necessary examples). To shorten that response time, at least to a matter of weeks rather than months, Meta’s AI research group (formerly FAIR) has developed a more generalized technology that requires just a handful of specific examples in order to respond to new and emerging forms of malicious content, called Few-Shot Learner (FSL).

Few-shot learning is a relatively recent development in AI, essentially teaching the system to make accurate predictions based on a limited number of training examples — quite the opposite of conventional supervised learning methods. For example, if you wanted to train a standard SL model to recognize pictures of rabbits, you feed it a couple hundred thousands of rabbit pictures and then you can present it with two images and ask if they both show the same animal. Thing is, the model doesn’t know if the two pictures are of rabbits because it doesn’t actually know what a rabbit is. That’s because the model’s purpose isn’t to spot rabbits, the model’s purpose is to look for similarities and differences between the presented images and predict whether or not the things displayed are the same. There is no larger context for the model to work within, which makes it only good for telling “rabbits” apart — it can’t tell you if it’s looking at an image of a rabbit, or of a lion, or of a John Cougar Mellencamp, just that those three entities are not the same thing.

FSL relies far less on labelled data (i.e. pictures of rabbits) in favor of a generalized system, more akin to how humans learn than conventional AIs. “It’s first trained on billions of generic and open-source language examples,” per a Wednesday Meta blog post. “Then, the AI system is trained with integrity-specific data we’ve labeled over the years. Finally, it’s trained on condensed text explaining a new policy.” And unlike the rabbit-matching model above, FSL “is pretrained on both general language and integrity-specific language so it can learn the policy text implicitly.”

Recent tests of the FSL system have proven encouraging. Meta researchers looked at the change in prevalence of harmful content shown to Facebook and Instagram users before and after FSL’s activation on the sites. The system both found harmful content that conventional SL models had missed and reduced the prevalence of that content in general. The FSL system reportedly outperformed other few-shot models by as much as 55 percent (though only 12 percent on average).

FSL Prevalence Graph the numbers are going down

Meta

FSL’s improved performance is thanks in part to entailment, defined as “the act or fact of entailing, or involving by necessity or as a consequence.” It’s essentially a logical consequence between two sentences — if sentence A is true, then sentence B must also be true. For example, if sentence A is “The President was assassinated,” then it entails that sentence B, “the President is dead,” is also true, accurate and correct. By leveraging entailment in the FSL system, the team is able to “convert the class label into a natural language sentence which can be used to describe the label, and determine if the example entails the label description,” Meta AI researchers explained. So instead of trying to generalize what a conventional SL model knows from its training set (hundreds of thousands of rabbit pics) to the test set (“are these two images of rabbits?”), the FSL model can more broadly recognize harmful content when it sees it, because it understands the policy that the content violates.

The added flexibility of having a “single, shared knowledge base and backbone” could one day enable AI moderation systems to recognize and react to new forms of harmful content far more quickly, catch more content that just barely skirts around current policies and even help Meta develop and better define future policies.

All products recommended by Engadget are selected by our editorial team, independent of our parent company. Some of our stories include affiliate links. If you buy something through one of these links, we may earn an affiliate commission.



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“These Are Numbers that Have Not Been Seen Before.  This Is Worse than When Nixon Was Walking Out to the Helicopter.” – Steve Bannon on Biden’s Cratering Poll Numbers


Nobody in America thinks the Biden clown show is funny.  Nobody’s laughing. 

The numbers for Joe Biden in a recent Wall Street Journal poll are devastating.  Only 27 percent of America believe the Biden regime is on the right track.  However, a massive 63% of Americans believe the Biden sham administration is on the wrong track.   It’s really no surprise this is the case with the clowns Biden/Obama picked for this administration, a bunch of Obama flunkies who didn’t know what was going on under Obama as well.

After stealing the 2020 Election, the reputation and approval of this corrupt regime is at unprecedented lows.  Steve Bannon shared this on the War Room this morning (starting at the 3:50 mark in the video below):

There’s a rule of thumb in politics on right-track, wrong-track.  If you get down to around a third right track, two-thirds against you, that’s too big a headwind.  That’s what we had in ’16 when I stepped in, I said hey, it’s two-thirds, one-third under Obama.  She’s [Hillary’s] done.  Plus all this other points showing people want a leader like Trump.

TRENDING: EXCLUSIVE (AUDIO): TGP Interviews Jan. 6 Political Prisoner, “Q-Shaman” Jacob Chansley – “I’m Not An Extremist. I’m Not An Insurrectionist. I’m Not A Domestic Terrorist”

27% is unprecedented ladies and gentlemen.  These are numbers that have not been seen before.  This is worse than when Nixon was walking out to the helicopter.  These are unprecedented numbers.  Talk about killing the crib.  Eviscerated.  This administration is done.  You can’t come back from numbers like this.”

 





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