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OpenAI, the world’s premier artificial intelligence research organisation, will likely release its most powerful AI model this fall (September-November), and could integrate it into ChatGPT-5, the new version of the chatbot and virtual assistant that it launched in late 2022.
On August 7, OpenAI CEO Sam Altman posted an image of strawberries growing in two pots to his X account. The tweet was seen as confirmation that OpenAI is working on the new and powerful large language model (LLM).
OpenAI was reported to have demonstrated a version of the new model to national security officials, seemingly a statement of its commitment to transparency at a time when the rapid development of AI has raised serious security concerns among national governments.
The influential California-based tech industry business publication The Information reported on August 26 that Project Strawberry would be better at math and programming than any existing chatbot, quoting “two people who have been involved in the effort”.
Integration with ChatGPT will make the latter the most powerful AI chatbot there is, the report said. ChatGPT has sometimes struggled with math, and experts think the errors could be due to the absence of adequate mathematical information in the training data.
The Information report said that a demo by Project Strawberry staff had shown that the new AI model is capable of advanced levels of thinking, which allowed it to solve puzzles, including The New York Times ‘Connections’, a particularly difficult word puzzle.
The Information said that Project Strawberry aims to raise more capital, which OpenAI needs for its next-frontier model, codenamed Orion.
The generation of high-quality training data for Orion is believed to be one of Project Strawberry’s key applications. This is significant because most of the training data on the Internet has already been used, and there is now a dearth of information that is outside paywalls and authentication, and is free to access for the purpose of training AI models. Indeed, OpenAI has been of late making deals with publications to use their content for training.
Project Orion, which is being designed to outperform GPT-4, could use a combination of Project Strawberry and high-quality synthetic data that would likely reduce errors and hallucinations compared to its predecessors and other AI models.
Altman has said that in order to try out different ways to train AI models, OpenAI has been testing how to generate large amounts of synthetic data. Generative AI models create synthetic data based on real-world data samples. The algorithms learn patterns, correlations, and statistical properties of the sample data; after it is trained, the model can produce statistically identical synthetic data.
The large datasets that AI models rely on could be prone to biases and errors, or could have incomplete or inaccurate information — high-quality synthetic data produced by Project Strawberry can fill gaps in real-world data sets and provide a more wholesome, inclusive, and balanced training set.
Many believe that the use of synthetic data can help make future AI models more neutral and fair, and reduce noise and irrelevant information — thereby improving both the efficiency of training and the accuracy of the model.
Based on what is known, Project Strawberry’s improved reasoning, logic, and the ability to plan and carry out research, could allow the model to autonomously conduct experiments, analyse data, and come up with new hypotheses. This could potentially lead to scientific breakthroughs, including the discovery of new drugs. The models could also offer personalised education, creating educational content and interactive lessons.
