Unsupervised Learning Ep 62: CEO of Cohere Aidan Gomez on Scaling Limits Emerging, AI Use-cases with PMF & Life After Transformers
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Apr 15, 2025 
Aidan Gomez, CEO of Cohere and co-author of the Transformers paper, shares insights on scaling AI for real-world applications. He discusses the importance of reasoning in custom AI models and how tailored solutions can outperform general models in enterprise settings. Aidan also highlights challenges in data integration and the significance of privacy in AI use-cases across sectors like finance and healthcare. He emphasizes the need for global collaboration and the evolving landscape of AI technologies, all while maintaining an optimistic view on AI's societal impacts.
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Enterprise AI Adoption
- Enterprise AI adoption requires a balanced approach, not just consulting or off-the-shelf products.
- Direct support and integration are key due to the technology's complexity and privacy concerns.
Future of AI Agents
- AI agents will need custom integrations and access to various data sources.
- Automating setup will be helpful, but full automation without human oversight is unlikely due to privacy risks.
Product-Market Fit in Enterprise AI
- Customer support and research augmentation are current enterprise use cases with product-market fit.
- AI agents excel at research due to their ability to process vast amounts of information quickly.