landing proofing

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Courtland Leer 2024-03-21 13:57:00 -04:00
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@ -6,9 +6,7 @@ Welcome to our collaborative second brain.
Here you'll find our blog, public notes, and research. [You can also engage with the ideas directly](https://github.com/plastic-labs/blog) on GitHub.
[Plastic](https://plasticlabs.ai) is a research-driven company building at the intersection of human and machine learning.
We believe re-centering LLM app development around the user will unlock a rich landscape of deeply personalized, autonomous agents.
[Plastic](https://plasticlabs.ai) is a research-driven company building at the intersection of human and machine learning. We believe re-centering LLM app development around the user will unlock a rich landscape of deeply personalized, autonomous agents.
Its our mission to realize this future.
@ -16,15 +14,16 @@ Its our mission to realize this future.
We post a few different types of content here:
- [[blog | Blog]] Deep dives into the philosophy, cognitive science, & machine learning underpinning our work
- [[blog | Blog]] -- Deep dives into the philosophy, cognitive science, & machine learning underpinning our work
- [[notes | Evergreen Notes]] Short form working notes on Plastic theses
- [[notes | Evergreen Notes]] -- Short form working notes on Plastic theses
- [[extrusions | Extrusions]] Brief, densely-linked reflections synthesizing last month's conceptual work
- [[extrusions | Extrusions]] -- Brief, densely-linked reflections synthesizing last month's conceptual work
- [[releases | Release Notes]] — Weekly changelogs & details on new product features
- [[releases | Release Notes]] -- Weekly changelogs & details on new product features
- [[research | Research]] -- Formal published, preprint, or blog-style company research we've made public
- [[research | Research]] - Formal published, preprint, or blog-style company research we've made public
*Extrusions and Release Notes are also available as email newsletters:*

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[Read on Arxiv](https://arxiv.org/abs/2310.06983).
Download here:
![[Violation of Expectation via Metacognitive Prompting Reduces Theory of Mind Prediction Error in Large Language Models.pdf]]