ΑΙhub.org
 

GPT-3 in tweets

by
26 August 2020



share this:

AIhub | Tweets round-up
Since OpenAI released GPT-3, you have probably come across examples of impressive and/or problematic content that people have used the model to generate. Here we summarise the outputs of GPT-3 as seen through the eyes of the Twitter-sphere.

GPT-3 is able to generate impressive examples, such as these.

However, caution is needed when using the model. Although it can produce good results, it is important to be aware of the limitations of such a system.

GPT-3 has been shown to replicate offensive and harmful phrases and concepts, like the examples presented in the following tweets.

This harmful concept generation is not limited to English.

It is important to note that GPT-2 had similar problems. This EMNLP paper by Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng pointed out the issue.

GPT-3 should indeed be used with caution.

 




Nedjma Ousidhoum is a postdoc at the University of Cambridge.
Nedjma Ousidhoum is a postdoc at the University of Cambridge.




            AIhub is supported by:


Related posts :



Machine learning accelerates discovery of solar-cell perovskites

An EPFL research project has developed a method based on machine-learning to quickly and accurately search large databases
28 May 2024, by

Madagascar’s ancient baobab forests are being restored by communities – with a little help from AI

The collaboration between communities and scientists aims to restore baobab forests in Madagascar to their natural state.
24 May 2024, by

DataLike: Interview with Wuraola Oyewusi

Ndane and Isabella talk to Wuraola Oyewusi about challenging and rewarding aspects of research and how her background in pharmacy has helped her data and AI career

European Union AI Act receives final approval

On 21 May, the Council of the EU formally signed off the artificial intelligence Act.
22 May 2024, by

#ICLR2024 invited talk: Priya Donti on why your work matters for climate more than you think

How is AI research related to climate, and how can the AI community better align their work with climate change-related goals?
21 May 2024, by

Congratulations to the #ICRA2024 best paper winners

The winners and finalists in the different categories have been announced.
20 May 2024, by




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association