OpenAI’s latest release, GPT-4, is the most powerful and impressive AI model yet from the company behind ChatGPT and the Dall-E AI artist. The system can pass the bar exam, solve logic puzzles, and even give you a recipe to use up leftovers based on a photo of your fridge – but its creators warn it can also spread fake facts, embed dangerous ideologies, and even trick people into doing tasks on its behalf. Here’s what you need to know about our latest AI overlord.

What is GPT-4?

GPT-4 is, at heart, a machine for creating text. But it is a very good one, and to be very good at creating text turns out to be practically similar to being very good at understanding and reasoning about the world.

And so if you give GPT-4 a question from a US bar exam, it will write an essay that demonstrates legal knowledge; if you give it a medicinal molecule and ask for variations, it will seem to apply biochemical expertise; and if you ask it to tell you a gag about a fish, it will seem to have a sense of humour – or at least a good memory for bad cracker jokes (“what do you get when you cross a fish and an elephant? Swimming trunks!”).

Is it the same as ChatGPT?

Not quite. If ChatGPT is the car, then GPT-4 is the engine: a powerful general technology that can be shaped down to a number of different uses. You may already have experienced it, because it’s been powering Microsoft’s Bing Chat – the one that went a bit mad and threatened to destroy people – for the last five weeks.

But GPT-4 can be used to power more than chatbots. Duolingo has built a version of it into its language learning app that can explain where learners went wrong, rather than simply telling them the correct thing to say; Stripe is using the tool to monitor its chatroom for scammers; and assistive technology company Be My Eyes is using a new feature, image input, to build a tool that can describe the world for a blind person and answer follow-up questions about it.

What makes GPT-4 better than the old version?

On a swathe of technical challenges, GPT-4 performs better that its older siblings. It can answer maths questions better, is tricked into giving false answers less frequently, can score fairly highly on standardised tests – though not those on English literature, where it sits comfortably in the bottom half of the league table – and so on.

It also has a sense of ethics more firmly built into the system than the old version: ChatGPT took its original engine, GPT-3.5, and added filters on top to try to prevent it from giving answers to malicious or harmful questions. Now, those filters are built straight into GPT-4, meaning that the system will politely decline to perform tasks such as ranking races by attractiveness, telling sexist jokes, or providing guidelines for synthesising sarin.

Source: The Guardian