Greetings,

This week, we published an article on OpenAI's Strawberry, a new AI model that's garnering significant attention. Set to launch this fall, Strawberry aims to handle complex tasks such as math problems and programming challenges more effectively than current models.

Our article explores how Strawberry could enhance AI reasoning and improve training data, addressing issues like AI hallucinations. This development could have major implications for both OpenAI's chatbot business and the forthcoming Orion model.

What caught my eye:

• Strawberry's potential to solve complex math problems and programming tasks represents a significant advancement in AI.
• The model's ability to generate synthetic data could enhance the accuracy and reliability of future AI models.
• OpenAI's strategic move to demonstrate this technology to national security officials highlights its broader impact and sets a new precedent for transparency in AI.

Stephanie Palazzolo's piece in Tuesday's AI Agenda provides further context on how OpenAI's demonstration of Strawberry to U.S. government officials reflects its importance and the evolving landscape of AI regulation.

Explore the full article here and read Stephanie's newsletter here.

Stay tuned to see how this technology unfolds and continues to shape the future of artificial intelligence

Jessica Lessin
Founder & Editor-in-Chief

OpenAI Races to Launch 'Strawberry' Reasoning AI to Boost Chatbot Business

As OpenAI looks to raise more capital, its researchers are trying to launch a new artificial intelligence product they believe can reason through tough problems much better than its existing AI.

Researchers have aimed to launch the new AI, code-named Strawberry (previously called Q*, pronounced Q Star), as part of a chatbot—possibly within ChatGPT—as soon as this fall, said two people who have been involved in the effort. Strawberry can solve math problems it hasn't seen before—something today's chatbots cannot reliably do—and also has been trained to solve problems involving programming. But it's not limited to answering technical questions.

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