In the live stream, the host introduced OpenAI’s new model, Strawberry, showcasing its advanced reasoning capabilities and performance through various tests, including coding and answering complex questions. The host highlighted the model’s improvements over previous versions, discussed its potential applications, and expressed excitement about its capabilities before concluding the stream.
In the live stream, the host announced the launch of OpenAI’s new model, Strawberry, and engaged with viewers to test its capabilities. The host confirmed that they had already recorded two videos about the model, which would be released shortly. They began by checking the audio and video settings before diving into the features of Strawberry, highlighting its ability to provide detailed thought processes behind its responses. The host showcased the model’s performance by asking it various questions, demonstrating its reasoning and output quality.
The host explored different functionalities of Strawberry, including its ability to answer straightforward questions and perform tasks like generating sentences that end with a specific word. They noted that the model could show its thought process, which was a significant improvement over previous versions. The host also tested the model’s coding abilities by asking it to write a Tetris game in Python, revealing that while the model produced code, it sometimes required multiple attempts to achieve a flawless output.
As the live stream progressed, the host encouraged viewers to suggest prompts for testing. They highlighted the model’s performance on complex questions, such as determining the dimensions of an envelope and solving riddles. The host was particularly impressed with how Strawberry handled trick questions, showcasing its understanding of context and logic. They also discussed the model’s limitations, including a cap on the number of messages users could send per week.
The host shared insights into the model’s training and reasoning capabilities, emphasizing that Strawberry could perform at a level comparable to PhD students in various subjects. They discussed the implications of this advancement, particularly in the context of AI’s potential to revolutionize fields like coding and mathematics. The host also touched on the model’s ability to generate creative outputs and engage in philosophical discussions, although some responses were deemed generic.
Towards the end of the stream, the host expressed excitement about the model’s capabilities and shared a personal highlight: discovering that OpenAI had incorporated a question they had previously posed about a marble in a glass cup into their testing. This revelation brought a sense of validation and joy to the host. They concluded the live stream by thanking viewers for their participation, encouraging them to check out their newsletter, and promising more content in the future.