Create A Fake News Article – In February, OpenAI entered the public eye when it produced a language pattern that was so good at creating fake news that organizations decided not to publish it. Some in the AI research community have argued that this is a smart precaution. Others wrote it off as publicity stunts. The lab itself, a small for-profit in San Francisco that seeks to create artificial general intelligence, firmly believes it is an important experiment in how to manage high-stakes research.
Now 6 months, the policy team has published a document examining the impact of decisions made so far. Along with this, the laboratory released a prototype known as GPT-2, which is half of the full size, which has not yet been released.
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In May, a few months after the first release of GPT-2, OpenAI updated its stance on full encryption in what it called a “phased release,” a gradual release of larger models across the board. one. In February, it launched a version that is only 8% of the full size. It released another quarter of the full version before the final release. During this process, it also collaborated with selected research institutions to explore the full impact of the model.
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The report details what OpenAI learned during this process. It noted that both the phased model release and the research partnership agreement are processes worth replicating in the future. They helped OpenAI better understand and predict potential malicious use of GPT-2. And indeed, research partners can better quantify some of the threats that can only be predicted. For example, a study by researchers at Cornell University found that readers, on average, believed that GPT-2 results were real news articles almost as often as the New York Times. In addition to formal cooperation, many researchers are also challenged to find Machine-made.
The authors concluded that after careful monitoring, OpenAI has not yet detected malicious use cases, but has seen many useful applications, including automated code development, grammar support, and question-answering systems for medical care. Therefore, the lab feels that the latest code release is finally more profitable. Other researchers have argued that the few successful attempts to copy GPT-2 have caused OpenAI’s ban on the code to be disturbed, however.
The report received a mixed response. Some have praised OpenAI for stimulating discussion and introducing a new set of new standards that have never existed before. “The release of GPT-2 […] has been a useful experience”, said Peter Eckersley, research director of the Partnership for AI, of which OpenAI is a member. “By bringing the AI community together to discuss these issues, we discovered that there are many fine points that need to be validated when making decisions and how to disseminate research that may be at risk of unintended or misused consequences.”
Others, however, continue to criticize OpenAI’s decision. Vanya Cohen, a recent graduate student at Brown University, who created an open-source version of GPT-2, argues that eliminating the format slows down research more than replication. “Large language models such as GPT-2 are currently the best tools for validating pseudotext generated by the same model,” he said.
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Chip Huen, a deep learning engineer at Nvidia said “I don’t think a staged rollout would be particularly useful in this case because the work is so easily repeated”. “But it can be useful in a way that sets a precedent for future projects. People will see phased releases as an option.” Oren Etzioni, executive director of the Allen Institute for Artificial Intelligence, which also adopted the release of the model Grover’s formative language expressed this sentiment: “Fanfare is warranted.”
Jack Clark, OpenAI’s policy director, places GPT-2 within the scope of the organization’s broader mission. “If we’re going to succeed as an AI community in building [general artificial intelligence], we’re going to need a lot of historical examples from within AI” of how to handle high-stakes research, he said. “But what if there is no historical example? Well, you have to create [your own] evidence, which is what we did.”
The tool, called Nightshade, scrambles the training data in a way that can seriously damage AI models that generate images.
An exclusive conversation with Ilya Sutskever about his fears about the future of AI and why they forced him to change the focus of his life’s work. Fighting fake news isn’t just about fact-checking the stories you hear, it’s also about data retention. You consume and the people or places you hear from are responsible. Acting as a critical consumer of information is the first line of defense against problematic news sources and misleading content. Check out the following tried and true methods for spotting fake news below.
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NewsGuard is a media literacy tool that helps online news consumers navigate through trusted and untrusted news sources online.
Who is the author? Do they have the right qualifications or credentials to write about this topic? What else did they write? Where is the information published?
Fortunately, we live in the 21st century, which means we can figure most things out by Googling or reading the About Us section of a website. Even the domain name (.com, .org, .gov, .edu) can tell us a lot about the legitimacy of the organization. Anyone can set up a .com or .org site, so there’s a better chance you can get lost.
Russian bots are known for creating fake online personas to push fake news. Search the author’s name to see what else they’ve written and if they’re part of a reputable news organization or even exist.
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Especially in social media, be aware of fake accounts and users who hide their identity, the source of their content, or promote unverified content from questionable news sites.
Typo-squatting is a deceptive technique used by bad actors to trick Internet users into using false claims to target news websites for hacking and malicious purposes. Typo-squatting considers the possibility that a user accidentally enters a wrong web address, such as faceboook.com instead of facebook.com, which automatically redirects the user to a fake website.
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It’s okay for some information to be out of date because history can relate to the present. However, in today’s fast-paced world, yesterday’s stories cannot give you a full understanding of a topic.
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Images are often recycled or manipulated to generate interest and provide “evidence” for fake news. Legitimate images often have original photographer credits or watermarks to the actual company, such as Getty Images.
If an image is too convenient, unrealistic, outdated, or out of context, do a Google image search to see where it happened.
More sophisticated ways of manipulating images, videos and audio content make it extremely difficult to decipher whether what we see online is real or fake. Check out our page on deepfakes to learn more about media management.
Is it heavy on emotional language? Is the claim supported by other sources? What evidence do they have? How is the information found?
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If the headline is unusual and provocative, the story may be fake. Clickbait headlines, or deliberately exaggerated headlines, attempt to attract attention and drive traffic to a website. Tabloid magazines and political satire websites generally use clickbait headlines to attract viewers.
If you notice typos or grammatical errors, the story was put together without care, which could mean it’s misleading, biased, or even patently false.
If the matter is important enough, it will not be covered in one post. Check out other reputable news outlets to see if they run the same document.
Identify the sources included in the news. Does the author rely on credible individuals, experts, or government officials for relevant facts? Scientific claims must be reviewed and cited in reputable scientific journals. Although many people who provide information to the media operate under anonymity, their qualifications should be included and, if possible, multiple sources should be available to support their claims.
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“Leaking” is a popular political tactic for sources to provide confidential or sensitive information to the media anonymously at the appropriate opportunity. Although most leaks may be true, information from anonymous sources should be properly verified.
What is the author’s purpose or goal? Are truth claims supported by evidence? Does the author make a clear distinction between fact and opinion?
Beware of confirmation bias. Audiences tend to believe and trust information that may not be true but confirms their personal beliefs. Evidence should always accompany truth claims.
Be aware of how your biases affect how you judge the credibility or truth of news. Be prepared to accept what is fact and what is opinion, and examine how the authors reached their conclusions.
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We all have biases. Find out
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