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LLM predictions for 2026, shared with Oxide and Friends

Simonwillison.net2 min read
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LLM predictions for 2026, shared with Oxide and Friends

Original Article Summary

I joined a recording of the Oxide and Friends podcast on Tuesday to talk about 1, 3 and 6 year predictions for the tech industry. This is my second appearance …

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Our Analysis

Simon Willison's appearance on the Oxide and Friends podcast to discuss 1, 3, and 6 year predictions for the tech industry, specifically focusing on LLM predictions for 2026, marks a significant moment in the conversation around the future of large language models. This means that website owners should be prepared for potential shifts in how LLMs are integrated into their online presence, as predictions for the next 1-6 years may bring about changes in AI bot traffic and content policies. With LLMs expected to play a larger role in the tech industry, website owners must consider how these advancements will impact their own content and user engagement strategies. To stay ahead of the curve, website owners can take several actionable steps: first, review their current llms.txt files to ensure they are up-to-date and aligned with the latest LLM predictions; second, monitor AI bot traffic on their site to identify areas where LLM integrations may be necessary; and third, consider investing in AI-powered content tools to enhance user experience and stay competitive in the evolving tech landscape.

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