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@ -6,9 +6,7 @@ Welcome to our collaborative second brain.
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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.
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[Plastic](https://plasticlabs.ai) is a research-driven company building at the intersection of human and machine learning.
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We believe re-centering LLM app development around the user will unlock a rich landscape of deeply personalized, autonomous agents.
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[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.
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It’s our mission to realize this future.
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@ -16,15 +14,16 @@ It’s our mission to realize this future.
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We post a few different types of content here:
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- [[blog | Blog]] — Deep dives into the philosophy, cognitive science, & machine learning underpinning our work
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- [[blog | Blog]] -- Deep dives into the philosophy, cognitive science, & machine learning underpinning our work
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- [[notes | Evergreen Notes]] — Short form working notes on Plastic theses
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- [[notes | Evergreen Notes]] -- Short form working notes on Plastic theses
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- [[extrusions | Extrusions]] — Brief, densely-linked reflections synthesizing last month's conceptual work
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- [[extrusions | Extrusions]] -- Brief, densely-linked reflections synthesizing last month's conceptual work
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- [[releases | Release Notes]] — Weekly changelogs & details on new product features
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- [[releases | Release Notes]] -- Weekly changelogs & details on new product features
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- [[research | Research]] -- Formal published, preprint, or blog-style company research we've made public
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- [[research | Research]] - Formal published, preprint, or blog-style company research we've made public
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*Extrusions and Release Notes are also available as email newsletters:*
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@ -1 +1,6 @@
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[Read on Arxiv](https://arxiv.org/abs/2310.06983).
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Download here:
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![[Violation of Expectation via Metacognitive Prompting Reduces Theory of Mind Prediction Error in Large Language Models.pdf]]
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