Paul Soulos
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paulsoulos.bsky.social
Paul Soulos
@paulsoulos.bsky.social
Computational Cognitive Science @JhuCogsci researching neurosymbolic methods. Previously wearable engineering @fitbit and @Google.
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🚨 Thrilled to share that Compositional Generalization Across Distributional Shifts with Sparse Tree Operations received a spotlight award at #NeurIPS2024! 🌟 I'll present a poster on Tuesday and give an invited lightning talk at the System 2 Reasoning Workshop on Sunday. 🧵👇
Intriguing prediction from
Trenton Bricken & @sholto-douglas.bsky.social on @dwarkesh.bsky.social's podcast: computer use agents "solved" in ~10 months 🖱️⌨️. This feels highly optimistic. I think that computer use is closer to robotics than language modeling. 1/2
May 30, 2025 at 3:21 PM
I’m presenting this work at 11a PT today in East Exhibit Hall at poster #4009. Come by and chat!
🚨 Thrilled to share that Compositional Generalization Across Distributional Shifts with Sparse Tree Operations received a spotlight award at #NeurIPS2024! 🌟 I'll present a poster on Tuesday and give an invited lightning talk at the System 2 Reasoning Workshop on Sunday. 🧵👇
December 11, 2024 at 6:01 PM
🚨 Thrilled to share that Compositional Generalization Across Distributional Shifts with Sparse Tree Operations received a spotlight award at #NeurIPS2024! 🌟 I'll present a poster on Tuesday and give an invited lightning talk at the System 2 Reasoning Workshop on Sunday. 🧵👇
December 9, 2024 at 3:06 PM
Applied AGI scientist is a wild job title considering people have no idea how to even define AGI let alone what we should apply to create it.
November 18, 2024 at 11:27 AM
An important distinction that Sutskever makes in this article is that scale is not dead, but “Scaling the right thing matters more now than ever.” Vector symbolic architectures are a promising direction to scale symbolic methods in a fully differentiable manner.

www.reuters.com/technology/a...
OpenAI and others seek new path to smarter AI as current methods hit limitations
Artificial intelligence companies like OpenAI are seeking to overcome unexpected delays and challenges in the pursuit of ever-biggerlarge language models by developing training techniques that use more human-like ways for algorithms to "think".
www.reuters.com
November 13, 2024 at 8:56 AM
Reposted by Paul Soulos
Okay the people requested one so here is an attempt at a Computational Cognitive Science starter pack -- with apologies to everyone I've missed! LMK if there's anyone I should add!

go.bsky.app/KDTg6pv
November 11, 2024 at 5:27 PM
I’m excited to share our survey investigating the current challenges and debates around achieving compositional behavior (CB) in language models, to be presented at #EMNLP2024! What makes language understanding truly intelligent? A thread unpacking our latest research 🤖📊🧵
November 11, 2024 at 8:40 PM