AI So Advanced It’s Considered Too Dangerous To Release To The Public

The new language predicting system, GPT-2, by OpenAI can generate synthetic text samples of unprecedented quality. But citing its concerns about potential misuse, the company is releasing a much smaller model for researchers to experiment with.

OpenAI, a non-profit artificial intelligence research organization based in San Francisco, has developed a language predicting AI that can proficiently compose compelling paragraph of text based on any text samples you throw at it. But citing its concerns about malicious applications such as in creating misleading news articles, impersonating people, and automating abusive or faked contents on social media, the company is releasing a scaled down version of the model.

According to OpenAI, the new language model called GPT-2, was trained to predict the next word in 40GB of Internet text. And the offshoot of that development was the model generating a set of texts that conforms to the structure and content of the conditioning text, enabling the user to create “realistic and coherent continuations” of their choosing. GPT-2 is a successor to GPT, and has ten times more parameters, and trained on more than 10 times the amount of data than the previous model.

Here are few of the select text samples to give you the idea of how the AI generates synthetic texts with greater coherence after being fed human-written text samples.

Human Written:


GPT–2 Response:









Human Written:

We’ve trained a large language model called GPT-2 that generates realistic paragraphs of text, while also exhibiting zero shot generalization on tasks like machine translation, question answering, reading comprehension, and summarization – problems usually approached by using training datasets and models designed explicitly for these tasks.


GPT-2 Response:

Figure 1: Generative Pre-trained Transformer training on several texts. We are now preparing a collection of datasets for translation and machine translation in our language model. We will be using one of the large number of text samples provided by The New York Times.

We believe this project is the first step in the direction of developing large NLP systems without task-specific training data. That is, we are developing a machine language system in the generative style with no explicit rules for producing text. We hope for future collaborations between computer scientists, linguists, and machine learning researchers.

While the hurricane of uproar is already permeating over this new language model’s ability to generate variety of prompts close to human quality,  OpenAI says the AI is still fraught with failures, such as “as repetitive text, world modeling failures (e.g. the model sometimes writes about fires happening under water), and unnatural topic switching.”

Paper describing the research is available at OpenAI’s Website.

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