The best-known AI text-generator is OpenAI's GPT-3, which the company recently announced is now being used in more than 300 different apps, by "tens of thousands" of developers, and producing 4.5 billion words per day. That's a lot of robot verbiage. This may be an arbitrary milestone for OpenAI to celebrate, but it's also a useful indicator of the growing scale, impact, and commercial potential of AI text generation.
OpenAI started life as a nonprofit, but for the last few years, it has been trying to make money with GPT-3 as its first salable product. The company has an exclusivity deal with Microsoft which gives the tech giant unique access to the program's underlying code, but any firm can apply for access to GPT-3's general API and build services on top of it.
[...] All this is good news for OpenAI (and Microsoft, whose Azure cloud computing platform powers OpenAI's tech), but not everyone in startup-land is keen.
[...] Like many algorithms, text generators have the capacity to absorb and amplify harmful biases. They're also often astoundingly dumb. In tests of a medical chatbot built using GPT-3, the model responded to a "suicidal" patient by encouraging them to kill themselves. These problems aren't insurmountable, but they're certainly worth flagging in a world where algorithms are already creating mistaken arrests, unfair school grades, and biased medical bills.
Nvidia and Microsoft have teamed up to create the Megatron-Turing Natural Language Generation model, which the duo claims is the "most powerful monolithic transformer language model trained to date".
"Each model replica spans 280 NVIDIA A100 GPUs, with 8-way tensor-slicing within a node, and 35-way pipeline parallelism across nodes," the pair said in a blog post.
[...] However, the need to operate with languages and samples from the real world meant an old problem with AI reappeared: Bias. "While giant language models are advancing the state of the art on language generation, they also suffer from issues such as bias and toxicity," the duo said.
Related: OpenAI's New Language Generator GPT-3 is Shockingly Good
A College Student Used GPT-3 to Write a Fake Blog Post that Ended Up at the Top of Hacker News
A Robot Wrote This Entire Article. Are You Scared Yet, Human?
OpenAI's Text-Generating System GPT-3 Is Now Spewing Out 4.5 Billion Words a Day
[...] As more and more netizens play with ChatGPT's preview, coming to surface are some of the cracks in AI's thinking as its creators rush to mend them in real time.
Included in the list is:
- 'Selfish' humans 'deserve to be wiped out'
- It can write phishing emails, software and malware
- It's capable of being sexist, racist, ...
- It's convincing even when it's wrong