Ashlee Vance, the acclaimed author and founder of the sci-tech media company Core Memory, recently revealed his early engagement with Google's anticipated Gemini 3 Pro artificial intelligence model. In mid-November 2025, Vance shared on social media that he was "Trying out Gemini 3 Pro with audio transcription and a a new pelican benchmark," signaling a proactive approach to integrating advanced AI into his new venture's operations. This move positions Core Memory at the forefront of exploring cutting-edge AI applications in media production.
Google's Gemini 3 Pro is widely anticipated to be a significant leap in AI capabilities, with industry rumors suggesting a potential release in late 2024 or early 2025. Expected enhancements include superior reasoning, multimodal understanding, and advanced code generation, building upon previous versions like Gemini 1.5 Pro, which boasted a massive 1 million token context window. Vance's early access and public testing underscore the model's imminent impact on various sectors.
Vance launched Core Memory in January 2025, following a distinguished career at Bloomberg, with a mission to create movies, shows, podcasts, and stories focused on science and technology. The company's thematic interests span critical areas such as brains, energy, AI, transportation, and manufacturing, making the adoption of advanced AI tools a natural fit for its strategic vision. His previous work includes the best-selling biography of Elon Musk and the recent book "When the Heavens Went on Sale."
The integration of such powerful AI tools aligns with Core Memory's commitment to innovation in content creation and operational efficiency. Vance also tweeted on November 19, 2025, about "How I automate my Substack newsletter with content from my blog," further illustrating his practical application of AI for streamlining media workflows. This dual focus on advanced AI testing and automation highlights a strategic push towards leveraging technology for enhanced storytelling and production.
Core Memory's early adoption of Gemini 3 Pro could set a precedent for how sci-tech media companies approach content generation, research, and audience engagement. As AI models continue to evolve rapidly, Vance's exploration of their capabilities suggests a future where artificial intelligence plays an increasingly central role in shaping the landscape of specialized media and journalistic endeavors. The insights gained from such early testing could inform broader industry practices in the coming years.