GPT-2 is a language-generating artificial intelligence system that’s so good it can fool even humans. The new model is called GPT-2. It’s an improvement on GPT (Generative Pretrained Transformer) — which was trained on 40GB of text scraped from eight million websites, including news sites and social media threads — according to OpenAI. Let’s take a look at some examples of what the system can do:
November 2022, a startup named OpenAI announced it had developed a language-generating artificial intelligence system that’s so good, the company said, it’s too dangerous to release.
November 2022, a startup named OpenAI announced it had developed a language-generating artificial intelligence system that’s so good, the company said, it’s too dangerous to release.
The system is called GPT-2 and was trained on 40GB of text scraped from 8 million websites. It can generate paragraphs of text that sound like they came from a human writer—even if those humans aren’t real or even exist in our world at all!
The system builds “synthetic text” one word at a time based on inputs provided by humans. Give it enough words and you’ve got a paragraph or an essay; give it more and you’ve got a book. Include sources and you’ve got an essay with attribution or even some form of journalism.
The system builds “synthetic text” one word at a time based on inputs provided by humans. Give it enough words and you’ve got a paragraph or an essay; give it more and you’ve got a book. Include sources and you’ve got an essay with attribution or even some form of journalism.
The technology behind this is complex, but the idea is simple: GPT-2 gives computers the ability to perform tasks previously considered too hard for machines to do reliably enough for large volumes of information processing (like making sense out of millions of documents).
GPT-2 was trained on 40GB of text scraped from eight million websites, including news sites and social media threads, according to OpenAI.
The second version of GPT-2 was trained on 40GB of text scraped from eight million websites, including news sites and social media threads, according to OpenAI.
The system also learned to identify certain words and phrases such as “fitness” or “diet,” which it could then use as training data for new words. It does this by looking at how often these words appear in different contexts on different pages across the web.
Let’s take a look at some examples of what the system can do.
Let’s take a look at some examples of what the system can do.
- The first thing that comes to mind when we think of fake news is the kind where someone writes something that sounds completely convincing but isn’t true. This could be about politics or sports or anything else, and it doesn’t matter if it’s true or not—what matters is that people believe it! backlinks
- This is where chatGPT comes in: You can use it to generate fake news and make sure no one knows which ones are real.
That suggests the system is closer to being able to generate fake news, which could have serious implications for politics and society as more people get their news through social media channels such as Twitter and Facebook. A recent study shows that people who enjoy following news have trouble spotting fake news stories about politicians more than half the time.
This suggests the system is closer to being able to generate fake news, which could have serious implications for politics and society as more people get their news through social media channels such as Twitter and Facebook. A recent study shows that people who enjoy following news have trouble spotting fake news stories about politicians more than half the time. The problem of fake news is not going away anytime soon—and it’s one that AI systems are set to exacerbate even further. In fact, unless something changes quickly (and I’m not talking about your personal preferences
