The biggest AI news of 2020 was the success of OpenAI’s monstrous new language model, GPT-3. In this post I summarize why GPT-3 has caused such a splash, before highlighting some consequences for companies building things with AI.
It’s widely acknowledged that the recent successes of Deep Learning rest heavily upon the availability of huge amounts of data. Vision was the first domain in which the promise of DL was realised, probably because of the availability of large datasets such as ImageNet. The recent surge of simulators for RL further illustrates that as we […]
At the NeurIPS 2018 workshop on AI for Social Good we presented a piece of work we performed in collaboration with Amnesty International. We leveraged a mixture of crowdsourcing and deep learning to study the nature and quantity of abuse suffered by prominent women on twitter. At this point quite a lot has been written about the project: if […]