The AI Daily Brief: Artificial Intelligence News and Analysis The Next AI Platform Isn't a Model -- It's Your Context
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Oct 14, 2025 Discover why the next frontier in AI isn't just about powerful models, but understanding context. Explore how Slack and Salesforce are vying to become the go-to platforms for context-aware agents. Learn about OpenAI's ambitious chip development with Broadcom, and Microsoft's push for in-house model independence. The podcast also dives into the significance of context engineering in enhancing AI performance and the strategic advantages held by Google and Microsoft in this competitive landscape.
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Context Beats Models For Enterprise AI
- Context engineering is organizing and orchestrating the data an AI needs to complete tasks well.
- Nathaniel Whittemore argues context, not model quality, will define enterprise AI advantage.
Two Sides Of Context Engineering
- There are two senses of context engineering: a technical design practice and an enterprise data readiness discipline.
- For enterprises, context engineering equals making organizational data accessible to agents.
Embedded Models Leverage Conversation Memory
- Embedding LLMs into apps like Slack reduces the need to re-explain work context.
- Real-time search APIs let models draw directly from conversation history to improve performance.