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Biden WH claims Trump 'eschewed' science, amid criticism for health protocols at border

FOX News

Texas GOP Rep. Chip Roy and former ICE Acting Director Tom Homan break down what lawmakers are seeing firsthand at the U.S.-Mexico border. The White House on Monday announced it will review policies put in place by President Donald Trump "that eschewed scientific integrity" – while at the same time coming under fire for health protocols at increasingly packed migrant facilities at the border. Biden had requested a review in January, asking for recommendations to guide future scientific discoveries, and the White House announced Monday that it will be led by the White House Office of Science and Technology Policy. "OSTP's Scientific Integrity Task Force will be taking a whole-of-government, forward-looking review of science across federal agencies, in part by examining practices that were antithetical to that mission over the last four years – including Trump-era policies that eschewed scientific integrity in favor of politics," a spokesperson for the office said in a statement. In a memo, the agency noted that it will review the policies to determine whether they prevent improper political interference, prevent the suppression or distortion of information, support diversity among scientists, and advance equitable delivery of the government's programs.


Transhumanism: Expert exposes liberal billionaire elitists' 'Great Reset' agenda

#artificialintelligence

November 10, 2020 (LifeSiteNews) -- The COVID-19 pandemic was manufactured by the world's elites as part of a plan to globally advance "transhumanism" -- literally, the fusion of human beings with technology in an attempt to alter human nature itself and create a superhuman being and an "earthly paradise," according to a Peruvian academic and expert in technology. This dystopian nightmare scenario is no longer the stuff of science fiction, but an integral part of the proposed post-pandemic "Great Reset," Dr. Miklos Lukacs de Pereny said at a recent summit on COVID-19. Indeed, to the extent that implementing the transhumanist agenda is possible, it requires the concentration of political and economic power in the hands of a global elite and the dependence of people on the state, said Lukacs. That's precisely the aim of the Great Reset, promoted by German economist Klaus Schwab, CEO and founder of World Economic Forum, along with billionaire "philanthropists" George Soros and Bill Gates and other owners, managers, and shareholders of Big Tech, Big Pharma, and Big Finance who meet at the WEF retreats at Davos, Switzerland, contended Lukacs. Transhumanism is far from a benign doctrine.


B-52s again fly over Mideast in US military warning to Iran

Boston Herald

DUBAI, United Arab Emirates (AP) -- A pair of B-52 bombers flew over the Mideast on Sunday, the latest such mission in the region aimed at warning Iran amid tensions between Washington and Tehran. The flight by the two heavy bombers came as a pro-Iran satellite channel based in Beirut broadcast Iranian military drone footage of an Israeli ship hit by a mysterious explosion only days earlier in the Mideast. While the channel sought to say Iran wasn't involved, Israel has blamed Tehran for what it described as an attack on the vessel. The U.S. military's Central Command said the two B-52s flew over the region accompanied by military aircraft from nations including Israel, Saudi Arabia and Qatar. It marked the fourth-such bomber deployment into the Mideast this year and the second under President Joe Biden.


Panel on artificial intelligence urges US to boost tech skills amid China's rise

#artificialintelligence

An artificial intelligence commission led by former Google CEO Eric Schmidt is urging the U.S. to boost its AI skills to counter China, including by pursuing "AI-enabled" weapons – something that Google itself has shied away from on ethical grounds. Schmidt and current executives from Google, Microsoft, Oracle and Amazon are among the 15 members of the National Security Commission on Artificial Intelligence, which released its final report to Congress on Monday. "To win in AI we need more money, more talent, stronger leadership," Schmidt said Monday. The report says that machines that can "perceive, decide, and act more quickly" than humans and with more accuracy are going to be deployed for military purposes -- with or without the involvement of the U.S. and other democracies. It warns against unchecked use of autonomous weapons but expresses opposition to a global ban.


South Carolina Republicans Face a Trump-Fuelled Schism

The New Yorker

It was 9:00 P.M. on a Monday in South Carolina, and the Charleston County Republican Party was ninety minutes into its February meeting, when the open-comments portion of the session began. Maurice Washington, the Party chairman and a former city-council member, invited a newcomer to the microphone at the front of the room filled with seventy members and guests. She identified herself as Elizabeth Rodi, announced that she had attended Donald Trump's rally on January 6th, and declared media reports about the Capitol insurrection false. "The people that were there were Antifa and Black Lives Matter. They were identified through facial recognition," she claimed.


Finding the Narrative with Natural Language Processing

#artificialintelligence

In general, text pre-processing should include lowercasing all words, removing punctuation and stop words, and stemming or lemmatization. When working with tweets, in addition to the normal text-preprocessing tasks we also have to consider hashtags, acronyms, re-tweet syntax ('RT @scrapfishies:…'), emojis, and other elements. Should hashtags be be segmented (divided into their unique words) or kept as a single concatenated string? Well, I'd argue that it depends on the hashtag. As an example, the #blacklivesmatter hashtag was used frequently in this corpus -- segmenting would give us 3 distinct tokens: 'black', 'lives', and'matter'.


Civil Rephrases Of Toxic Texts With Self-Supervised Transformers

arXiv.org Artificial Intelligence

Platforms that support online commentary, from social networks to news sites, are increasingly leveraging machine learning to assist their moderation efforts. But this process does not typically provide feedback to the author that would help them contribute according to the community guidelines. This is prohibitively time-consuming for human moderators to do, and computational approaches are still nascent. This work focuses on models that can help suggest rephrasings of toxic comments in a more civil manner. Inspired by recent progress in unpaired sequence-to-sequence tasks, a self-supervised learning model is introduced, called CAE-T5. CAE-T5 employs a pre-trained text-to-text transformer, which is fine tuned with a denoising and cyclic auto-encoder loss. Experimenting with the largest toxicity detection dataset to date (Civil Comments) our model generates sentences that are more fluent and better at preserving the initial content compared to earlier text style transfer systems which we compare with using several scoring systems and human evaluation.


Politics on dating apps are thornier than ever now that Trump is gone

Mashable

After 26-year-old Brandon Fellows stormed the Capitol on Jan. 6, he told Bloomberg News he had no regrets. Instead, he boasted that his Bumble profile was "blowing up." All the while, women were actively trying to locate the insurrectionists on dating apps. Bumble removed its political filter amid the chaos, only to reinstate it a day later after users complained. Politics is personal, and that's been true on dating apps for awhile -- but as the global health crisis collided with a heated election and an attempted coup, it shifted things even further and now politics on dating apps are thornier than ever.


Self-Supervised Claim Identification for Automated Fact Checking

arXiv.org Artificial Intelligence

We propose a novel, attention-based self-supervised approach to identify "claim-worthy" sentences in a fake news article, an important first step in automated fact-checking. We leverage "aboutness" of headline and content using attention mechanism for this task. The identified claims can be used for downstream task of claim verification for which we are releasing a benchmark dataset of manually selected compelling articles with veracity labels and associated evidence. This work goes beyond stylistic analysis to identifying content that influences reader belief. Experiments with three datasets show the strength of our model. Data and code available at https://github.com/architapathak/Self-Supervised-ClaimIdentification


U.S. Aircraft Carrier Returning Home After Long Sea Tour Watching Iran

NYT > Middle East

The aircraft carrier Nimitz is finally going home. The Pentagon last month ordered the warship to remain in the Middle East because of Iranian threats against President Donald J. Trump and other American officials, just three days after announcing the ship was returning home as a signal to de-escalate rising tensions with Tehran. With those immediate tensions seeming to ease a bit, and President Biden looking to renew discussions with Iran on the 2015 nuclear accord that Mr. Trump withdrew from, three Defense Department officials said on Monday that the Nimitz and its 5,000-member crew were ordered on Sunday to return to the ship's home port of Bremerton, Wash., after a longer-than-usual 10-month deployment. The Pentagon for weeks had been engaged in a muscle-flexing strategy aimed at deterring Iran and its Shia proxies in Iraq from attacking American personnel in the Persian Gulf to avenge the death of Maj. General Suleimani, the commander of Iran's elite Quds Force of the Islamic Revolutionary Guards Corps, was killed in an American drone strike in January 2020.