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Original: Simon Willison · 03/02/2026

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Summary

LLM predictions for 2026 I just sent the January edition of my sponsors-only monthly newsletter. If you are a sponsor (or if you start a sponsorship now) you can access it here. In the newsletter for January: LLM predictions for 2026 Coding agents get even more attention Clawdbot/Moltbot/OpenClaw went very viral Kakapo bre

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Key Insights

“LLM predictions for 2026” — Discussing future expectations for Language Learning Models.
“Coding agents get even more attention” — Highlighting the growing interest in coding agents.
“Sam Altman addressed the Jevons paradox for software engineering” — Exploring how increasing efficiency in software engineering doesn’t reduce resource consumption.

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Topics

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Full Article

# January sponsors-only newsletter is out
Author: Simon Willison
Published: 2026-02-03
Source: https://simonwillison.net/2026/Feb/3/january/#atom-everything
<p>I just sent the January edition of my <a href=“https://github.com/sponsors/simonw/“>sponsors-only monthly newsletter</a>. If you are a sponsor (or if you start a sponsorship now) you can <a href=“https://github.com/simonw-private/monthly/blob/main/2026-01-january.md”>access it here</a>. In the newsletter for January:</p> <ul> <li>LLM predictions for 2026</li> <li>Coding agents get even more attention</li> <li>Clawdbot/Moltbot/OpenClaw went very viral</li> <li>Kakapo breeding season is off to a really strong start</li> <li>New options for sandboxes</li> <li>Web browsers are the “hello world” of coding agent swarms</li> <li>Sam Altman addressed the Jevons paradox for software engineering</li> <li>Model releases and miscellaneous extras</li> </ul> <p>Here’s <a href=“https://gist.github.com/simonw/13e595a236218afce002e9aeafd75cd0”>a copy of the December newsletter</a> as a preview of what you’ll get. Pay $10/month to stay a month ahead of the free copy!</p> <p>Tags: <a href=“https://simonwillison.net/tags/newsletter”>newsletter&lt;/a>&lt;/p>

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Key Takeaways

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Notable Quotes

LLM predictions for 2026
Context: Discussing future expectations for Language Learning Models.
Coding agents get even more attention
Context: Highlighting the growing interest in coding agents.
Sam Altman addressed the Jevons paradox for software engineering
Context: Exploring how increasing efficiency in software engineering doesn’t reduce resource consumption.
  • [[topics/ai-agents]]
  • [[topics/prompt-engineering]]
  • [[topics/agent-native-architecture]]

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Originally published at https://simonwillison.net/2026/Feb/3/january/#atom-everything.