I will hold on to this for another 25y #ASSC26

i have been mulling whether/how to say something this since the press releases started coming out 4 days ago, but feel i need to say something now. i am deeply disappointed in how the media has covered recent findings in consciousness science. 🧵👇

Well, the website is down. I’ve confirmed that this isn’t a test. It didn’t get a non-spam post for 24 hours. Thanks for all the fun, but it was bound to happen eventually!

Vision-Language Models (VLMs) can describe the environment, but can they refer within it? Our findings reveal a critical gap: VLMs fall short of pragmatic optimality. We identify 3 key failures of pragmatic competence in referring expression generation with VLMs: (1) cannot

P.S., We are building GrowAIlikeAChild, an open-source community uniting researchers from computer science, cognitive science, psychology, linguistics, philosophy, and beyond. Instead of putting growing up and scaling up into opposite camps, let's build and evaluate human-like AI

#ICLR please checkout our poster‼️We evaluated 209 models and all of them are stochastic parrots 🦜 🙀Models either believe "the bigger the ball, the quicker it falls" (illusions), or, "not matter how big, physics textbook, Pisa's tower, fall at the same time" (shortcuts).

Finally finish making our website GrowAIlikeAChild growing-ai-like-a-child.github.io 🙌 with William Yijiang Li Dezhi Luo Martin Ziqiao Ma Zory Zhang Pinyuan Feng (Tony) Pooyan Rahmanzadehgervi and many others 🚶🚶‍♂️🚶‍♀️

SO excited about this new paper by tal boger! How does your mind separate the *content* of an image from the *manner* in which it is depicted? And how can we study this using tools from perception research? Find out in Tal's new Nature Human Behaviour paper 👇

👁️ 𝐂𝐚𝐧 𝐕𝐢𝐬𝐢𝐨𝐧 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 (𝐕𝐋𝐌𝐬) 𝐈𝐧𝐟𝐞𝐫 𝐇𝐮𝐦𝐚𝐧 𝐆𝐚𝐳𝐞 𝐃𝐢𝐫𝐞𝐜𝐭𝐢𝐨𝐧? Knowing where someone looks is key to a Theory of Mind. We test 111 VLMs and 65 humans to compare their inferences. Project page: grow-ai-like-a-child.github.io/gaze/ 🧵1/11

#ICML #cognition #GrowAI We spent 2 years carefully curated every single experiment (i.e. object permanence, A-not-B task, visual cliff task) in this dataset (total: 1503 classic experiments spanning 12 core cognitive concepts). We spent another year to get 230 MLLMs evaluated

🔥 Huge thanks to Yann LeCun and everyone for reposting our #ICML2025 work! 🚀 ✨12 core abilities, 📚1503 tasks, 🤖230 MLLMs, 🗨️11 prompts, 📊2503 data points. 🧠 We try to answer the question: 🔍 Do Multi-modal Large Language Models have grounded perception and reasoning?

💥We are excited to share that our #Video2Animation feature is now live at myolab.ai's discord servers. We're giving away massive 𝐟𝐫𝐞𝐞 credits for early users. Head now to 👉 discord.gg/Gc9hapPgQg

#embodied All forms of biological intelligence are grounded movements🏃‍♂️ muscles & motor neurons 🧠 emerge before visual cortex & rods & cones in eyes 👁️ Building monocular better-than-mocap-studio #video2motion is our critical step towards human embodied intelligence.

I’ve always wanted to write an open-notebook research blog to (i) show the chain of thought behind how we formed hypotheses, designed experiments, and articulated findings, and (ii) lay out all the intermediate results that did not make it into the final paper, including negative

AI agents aim to augment and enhance human agency across a range of domains. How this "surplus agency" is distributed – including whether the benefit is broad or narrow – could have a major impact on the distribution of overall opportunity, and the shape of our social world.

New Anthropic research: Signs of introspection in LLMs. Can language models recognize their own internal thoughts? Or do they just make up plausible answers when asked about them? We found evidence for genuine—though limited—introspective capabilities in Claude.

Excited to share my essay with Dezhi Luo Qingying Gao 高清滢 on the representational substrate of world-reasoning in both humans and machines has been accepted to the SpaVLE Workshop at #NeurIPS2025✨ One recent article by Tomer Ullman Halely raises the notion of "Physics" versus

New paper on AI consciousness! Here we present the theory-derived indicator method for assessing AI systems for consciousness. Link below.

There are broadly two ways people think about AGI and labour: Position A is where humans get fully substituted, which is usually advanced by parts of the AI commentariat. The argument is that if AGI is a scalable input that can do what workers do at lower cost, then the market

Introducing Large Video Planner (LVP-14B) — a robot foundation model that actually generalizes. LVP is built on video gen, not VLA. As my final work at Massachusetts Institute of Technology (MIT), LVP has all its eval tasks proposed by third parties as a maximum stress test, but it excels!🤗 boyuan.space/large-video-pl…