Mind's Eye: Grounded Language Model Reasoning through Simulation · HackerPapers discussions

Mind's Eye: Grounded Language Model Reasoning through Simulation — mentioned by exhaze

Wed, 22 Jul 2026 22:24:33 GMT

Not an expert on this, so won’t speculate regarding what traits would create robustness specifically attributed to SVG visual representation capability, but felt you might find this paper on reasoning models trained on physical world video data becoming better at general reasoning interesting: https://arxiv.org/abs/2210.05359

Paper and discussion history. A mention is not an endorsement.

Mind's Eye: Grounded Language Model Reasoning through Simulation — mentioned by theptip

Tue, 10 Jan 2023 19:08:00 GMT

> And, yes, one can imagine finding a way to “fix this particular bug”. But the point is that the fundamental idea of a generative-language-based AI system like ChatGPT just isn’t a good fit in situations where there are structured computational things to do. Put another way, it’d take “fixing” an almost infinite number of “bugs” to patch up what even an almost-infinitesimal corner of Wolfram|Alpha can achieve in its structured way. I can see why Wolfram is bearish on what might be termed "the naive scaling hypothesis", i.e. that given more data, LLMs will naturally cease making false…

Paper and discussion history. A mention is not an endorsement.

Mind's Eye: Grounded Language Model Reasoning through Simulation — HN submission

Sun, 23 Oct 2022 00:33:43 GMT

Grounded Language Model Reasoning Through Simulation

2 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.