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The (Un)ethical Story of GPT-3: OpenAI's Million Dollar Model

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Back on October 12, 2019, the world witnessed a previously unimaginable accomplishment- the first sub-two-hour marathon was run in an incredible time of 1:59:40 by Kenyan native Eliud Kipchoge. He would later say in regards to the amazing achievement that he "expected more people all over the world to run under 2 hours after today" [1]. While Kipchoge set new records in long distance running, across the world a team of natural language processing (NLP) experts at OpenAI, the Elon Musk-backed AI firm, published a new transformer-based language model with 1.5 billion parameters that achieved previously unthinkable performance in nearly every language task it faced [2]. The main takeaway from the paper by many experts was that bigger is better-the intelligence of transformer models can dramatically increase with the scale of parameters. In March of 2020, this theory gained support with OpenAI's release of version three of the model or GPT-3 which encapsulates a staggering 175 billion parameters and achieved even more remarkable performance than version 2, despite sharing, quite literally, the same architecture [3].


The untold story of GPT-3 is the transformation of OpenAI

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A bot that writes letters on behalf of nature. Those are just some of the recent stories written about GPT-3, the latest contraption of artificial intelligence research lab OpenAI. GPT-3 is the largest language model ever made, and it has triggered many discussions over how AI will soon transform many industries. But what has been less discussed is how GPT-3 has transformed OpenAI itself. In the process of creating the most successful natural language processing system ever created, OpenAI has gradually morphed from a nonprofit AI lab to a company that sells AI services. And hanging in the balance is the very mission for which OpenAI was founded.


Elon, GPT-3, And The A.I. Bonanza

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What do NeuraLink and OpenAI have in common? They are both on a quest to synthesize intelligence using a wet lab vs. dry lab approach. Neuralink [wet lab] is trying to interact with the brain and learn straight from the source through implantable brain-machine interfaces. OpenAI [dry lab] is looking to emulate brain functions in the real world. The OpenAI researchers want to democratize access to safe artificial intelligence.


OpenAI's Artificial Intelligence Strategy

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For several years, there has been a lot of discussion around AI's capabilities. Many believe that AI will outperform humans in solving certain areas. As the technology is in its infancy, researchers are expecting human-like autonomous systems in the next coming years. OpenAI has a leading stance in the artificial intelligence research space. Founded in December 2015, the company's goal is to advance digital intelligence in a way that can benefit humanity as a whole.


OpenAI's new multitalented AI writes, translates, and slanders

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OpenAI's researchers knew they were on to something when their language modeling program wrote a convincing essay on a topic they disagreed with. They'd been testing the new AI system by feeding it text prompts, getting it to complete made-up sentences and paragraphs. Then, says David Luan, VP of engineering at the Californian lab, they had the idea of asking it to argue a point they thought was counterintuitive. In this case: why recycling is bad for the world. "And it wrote this really competent, really well-reasoned essay," Luan tells The Verge.