One of the most anticipated features in GPT-4 is visual input, which allows ChatGPT Plus to interact with images not just text. It’s not a smoking gun, but it certainly seems like what users are noticing isn’t just being imagined. By comparing GPT-4 between the months of March and June, the researchers were able to ascertain that GPT-4 went from 97.6% accuracy down to 2.4%. Then, a study was published that showed that there was, indeed, worsening quality of answers with future updates of the model.
Quite the opposite: we make each new version smarter than the previous one.Ĭurrent hypothesis: When you use it more heavily, you start noticing issues you didn't see before. According to OpenAI, it’s all in our heads. It was all anecdotal though, and an OpenAI executive even took to Twitter to dissuade the premise. It’s been noticed by important figures in the developer community and has even been posted directly to OpenAI’s forums. Is GPT-4 getting worse?Īs much as GPT-4 impressed people when it first launched, some users have noticed a degradation in its answers over the following months. One user apparently made GPT-4 create a working version of Pong in just sixty seconds, using a mix of HTML and JavaScript. As the first users have flocked to get their hands on it, we’re starting to learn what it’s capable of.
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Over the weeks since it launched, users have posted some of the amazing things they’ve done with it, including inventing new languages, detailing how to escape into the real world, and making complex animations for apps from scratch. OpenAI says it’s been trained with human feedback to make these strides, claiming to have worked with “over 50 experts for early feedback in domains including AI safety and security.” It can reportedly produce 40% more factual responses in OpenAI’s own internal testing, while also being 82% less likely to “respond to requests for disallowed content.” Lastly, OpenAI also says GPT-4 is significantly safer to use than the previous generation. Image used with permission by copyright holder It is not currently known if video can also be used in this same way. In the example provided on the GPT-4 website, the chatbot is given an image of a few baking ingredients and is asked what can be made with them. GPT-4 can also now receive images as a basis for interaction.
OpenAI says this can be helpful for the creation of long-form content, as well as “extended conversations.” You can even just send GPT-4 a web link and ask it to interact with the text from that page. GPT-4 can now process up to 25,000 words of text from the user. The longer context plays into this as well. Examples of these include music, screenplays, technical writing, and even “learning a user’s writing style.” In terms of creativity, OpenAI says GPT-4 is much better at both creating and collaborating with users on creative projects. GPT is the acronym for Generative Pre-trained Transformer, a deep learning technology that uses artificial neural networks to write like a human.Īccording to OpenAI, this next-generation language model is more advanced than ChatGPT in three key areas: creativity, visual input, and longer context. It advances the technology used by ChatGPT, which is currently based on GPT-3.5. GPT-4 is a new language model created by OpenAI that can generate text that is similar to human speech. The first public demonstration of GPT-4 was also livestreamed on YouTube, showing off some of its new capabilities. GPT-4 has also been made available as an API “for developers to build applications and services.” Some of the companies that have already integrated GPT-4 include Duolingo, Be My Eyes, Stripe, and Khan Academy.
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The current free version of ChatGPT will still be based on GPT-3.5, which is less accurate and capable by comparison. As of now, however, it’s only available in the ChatGPT Plus paid subscription. GPT-4 was officially announced on March 13, as was confirmed ahead of time by Microsoft, even though the exact day was unknown.
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