Ever wonder how close has AI gotten to impersonating human beings?
You’d be surprised!
It can take up almost any virtual English language task. In the latest recent milestone on YouTube, it created an app that functions similar to Instagram.
Dubbed as one of the most important advancements in AI in recent years, GPT-3 or Generative Pre-Trained Transformer 3 has raised the AI goal posts many notches toward the stratosphere. It is the largest artificial neural network ever created.
In September this year, Elon Musk had criticized exclusive licensing of the model to Microsoft. When tech heavyweights like Musk root for and track the developments and distribution of a technology, you know that it’s the next big thing out there.
The first version of GPT-3 was unveiled in February last year, and the private beta version was launched in June this year. The second version of the technology was so promising that it scared its makers about potential misuse. They waited a year to bring it in open and, as expected, the results were mind-boggling.
GPT-3 wrote a blog piece elaborating on an experiment with bitcoin and called itself the biggest thing since bitcoin. It said: “GPT-3’s predicted sentences, when published on the bitcointalk.org forum, attracted lots of positive attention from posters there, including suggestions that the system must have been intelligent (and/or sarcastic) and that it had found subtle patterns in their posts.”
The blog piece was trending on the Internet some months back.
Arram Sabeti, a user, in his post-test blog said: “It’s far more coherent than any AI language system I’ve ever tried… all you have to do is write a prompt and it’ll add text it thinks would plausibly follow. I’ve gotten it to write songs, stories, press releases, guitar tabs, interviews, essays, technical manuals. It’s hilarious and frightening. I feel like I’ve seen the future.”
Another user, Merzmensch Kosmopol, posted his conversation with GPT-3 on Twitter.
GPT-3 is a technology that generates text using pre-trained algorithms. It is the third-generation language prediction model in the GPT-n series and uses deep learning to give human-like text. It works on 175 billion parameters
The technology has been fed the complete data it needs to carry out its tasks. 570GB of text information from texts by OpenAI and data collected from CommonCrawl, a publicly available dataset, drive this titan.
How precise is it? In the words of pop psychologist Scott Barry Kaufman, the impersonating AI definitely sounded like something he would say.
When asked the question “How do we become more creative?”, the AI, replicating the thoughts and speech patterns of its archetype, said:
“I think creative expression is a natural byproduct of growing up in a diverse world. The more diverse the world is, the more you get exposed to different people, to different opportunities, to different places and to different challenges. And the more diverse that is, the more likely you’ll be to be able to put the dots together to form something new. And in many ways, I think if you want to be creative, you have to go for it. If you want to be a writer, you have to write, if you want to be a musician, you have to create music, if you want to be a comedian, you have to create comedy, and the more you create, the more likely it is that you’ll stumble onto some interesting stuff.”
The precision and usability of GPT-3 have already carved a formidable niche for it in researched journalism, news, politics, and advertisements. But this is just the beginning.
Not surprisingly, the Internet is flooded with use cases. In a recent one, user Mario Klingemann posted this conversation of GPT-3 with an imaginary character on Twitter:
Ready to dive in GPT-3? You can request access from OpenAI to integrate the API into your product and develop an entirely new application. OpenAI is also welcoming user suggestions to help them explore the strengths and limits of their technology.
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