Behnam Karami

Adding a realizer layer that links LLMs to physical and chemical processes would reconnect them to the causal hierarchy—allowing the system to be-in-the-world (Dasein) and potentially achieve consciousness.

09.10.2025 07:21 — 👍 1    🔁 0    💬 0    📌 0

In the hierarchical higher-order pointer theory, each layer points to the one below it, forming an unbroken causal chain. In AI, this chain is severed—the software doesn’t “point down” to physical reality, making it mere simulation.

09.10.2025 07:21 — 👍 1    🔁 0    💬 2    📌 0

Artificial Phantasia: Evidence for Propositional Reasoning-Based Mental Imagery in Large Language Models This study offers a novel approach for benchmarking complex cognitive behavior in artificial systems. Almost universally, Large Language Models (LLMs) perform best on tasks which may be included in th...

Imagine an apple 🍎. Is your mental image more like a picture or more like a thought? In a new preprint led by Morgan McCarty—our lab's wonderful RA—we develop a new approach to this old cognitive science question and find that LLMs excel at tasks thought to be solvable only via visual imagery. 🧵

01.10.2025 01:26 — 👍 112    🔁 36    💬 5    📌 8

07.06.2025 13:03 — 👍 0    🔁 0    💬 0    📌 0

‘Being’ is already the newest version
100 upgraded, 1.5M newly installed, 1M to remove
MyMind@MyBrain: ~$

07.06.2025 12:36 — 👍 0    🔁 0    💬 0    📌 0

@suryaganguli.bsky.social gives great talk at LLM workshop at Berkley

-LLM<->brain is still a new topic, less progress so far than LLM<->vision
-lets train LLM foundation models of specific brain systems and then reverse engineer them
-emerging paradigm: read-write experiments in brains+machines

03.02.2025 19:49 — 👍 16    🔁 5    💬 0    📌 0