Lukas Aichberger

We unlocked the working memory of LLMs 💥

Reasoning in Memory (RiM) replaces autoregressive "thinking out loud" with fixed memory blocks that form a task-specific workspace for latent reasoning.

The key idea is simple: reasoning should happen inside the LLM, not in its output!

We just hit 7th out of 5,000+ teams in the ARC-AGI-3 Challenge! 🚀

Biggest takeaway? Under tight compute and memory constraints, a good harness and high inference throughput beat a bigger model!

Huge shoutout to the team: @fses91 @MI99835819 @gklambauer

kaggle.com/competitions/a…

if you think about it, how crazy is it that we've found nonlinear functions that are better than us at doing stuff

my AC @NeurIPSConf can see the future.

before the rebuttal period had even started, the AC posted a meta-review stating that we did not submit a response -- so I guess the final justification was made a bit early.

but since it was already generated, why not ignore our rebuttal and just use it again, right?

peak peer review.

@typesafeai "can’t hallucinate" 🧐