Another glorious battle for AI dominance… GPT-4o vs Google I/O


Summary

Google and Open AI made significant announcements, including a new SQL database for Firebase and the release of Open AI's GPT 4 model with enhanced conversational abilities. Both companies are exploring collaborations to integrate their technologies on mobile devices. Google also introduced Gemini 1.5 Pro with improved capabilities and announced new hardware like Trillium TPUs and Axion arm-based CPUs for data centers, as well as a generative video model to compete with Open AI's Sora. Despite advancements in AI models, reaching singularity remains a distant goal as improvements focus on speed and cost rather than increased intelligence.


Google IO and Open AI Announcement

Google announced crazy new stuff like a SQL database for Firebase, but the biggest announcement was Open AI's new GPT 4 model that surprised everyone.

Open AI's GPT 4 Model

Open AI released GPT 4 with enhanced conversational abilities, including a humanlike conversational tone and capabilities to merge text vision and audio into a single model.

Future Integration with iPhones

Open AI and Google are in talks to integrate their flagship models GPT 4 and Gemini on iPhones, competing to create smart and fast models suitable for mobile devices.

Open AI Drama and Google Gemini 1.5 Pro

Open AI parted ways with its former Chief scientist and co-founder Ilia. Google announced Gemini 1.5 Pro with improved capabilities to handle a 2 million token context window and launched a developer competition.

New Features and Tools from Google

Google introduced context caching to reuse tokens, a competition for developers to build Gemini powered apps, and new tools like Firebase Data Connect and Project IDX for developers.

New Hardware and Generative Video Model

Google announced new hardware like Trillium TPUs and Axion arm-based CPUs for data centers. They also introduced a generative video model to compete with Open AI's Sora.

Progress Towards Singularity

Despite advancements in AI models, the progress towards singularity seems limited as models are becoming faster and cheaper without significant improvements in intelligence.

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