Next MAIR Majlis with Ziyad Benomar, an Applied Scientist at Amazon. We’ll discuss ML theory and how researchers can pivot or change topics during or after a PhD.
📅 10 Oct, 8 PM GMT
📍 MAIR Discord: https://t.co/OtnwKoiVg4
#Morocco#MAIR#Majlis#AI#PhD#Research
very happy to be part of MenaML Winter School 2026 @KAUST_News !
🌟 amazing speakers, incredible community, and one of the best research hubs in the arab world.
thank you @MENAML_ team! 🫶🏼
the highlight of my week was definitely @NicolasPapernot talk at @Inria_lyon on “Learning from unlearning: how to audit ML systems?”
his framework on data-dependent DP for auditable unlearning raises fascinating questions for privacy risk explainability. inspiring stuffs✨
Don't think of LLMs as entities but as simulators. For example, when exploring a topic, don't ask:
"What do you think about xyz"?
There is no "you". Next time try:
"What would be a good group of people to explore xyz? What would they say?"
The LLM can channel/simulate many perspectives but it hasn't "thought about" xyz for a while and over time and formed its own opinions in the way we're used to. If you force it via the use of "you", it will give you something by adopting a personality embedding vector implied by the statistics of its finetuning data and then simulate that. It's fine to do, but there is a lot less mystique to it than I find people naively attribute to "asking an AI".
> Be AI PhD student
> Submit paper to conference
> LLM slop reviews
> Rejected
> Concurrent paper with same method accepted
> Resubmit to next conference
> Reviewer points to concurrent paper which was accepted by last conference
> Lack of novelty
> Rejected