Missed #SNUFA24 spiking neural network workshop last week? No worries, we've just uploaded all 11 talks and the flash talks to Youtube. Check it out, along with talks from every year since we started in 2020 71 videos, 36k views and 3.4k hours watched so far.https://www.youtube.com/playlist?list=PL09WqqDbQWHHijfS3PyGxPxeoATc-suAv

@elduvelle @neuralreckoning @cian and (sorry to go on..) I think it’s compounded by the platform affordances that make it so difficult to distinguish when a point is welcome in conversation and when it’s not. Things that might be welcome discussion points in a thread of its own might be unwelcome as replies.That problem is inherent to all current social media (?), but I think it’s exacerbated here by the fact that people value discussion (which otherwise seems like a good thing!)

Interesting feature of the Apple LLM reasoning paper. I always tell my students that exams include no irrelevant information, which gives you a clue as to the answer. LLM's have learnt this too well, and can't ignore irrelevant info (perf drops 17-70%).https://arxiv.org/abs/2410.05229In other words: exam-style questions have massive leakage that many students don't pick up on but that LLM's find impossible to ignore. I suspect this tells us more about the way we write exam questions than anything else. They're not a good measure of LLM performance, nor human!