Amine El Ouassouli
@aelouass.bsky.social
140 followers 1.4K following 39 posts
CS / DS / ML / AI (whatever it is called now) Ph.D. Engineer. Past: INSA-Lyon, LIRIS. Main topics: sequential and temporal data, models and, reasoning. Currently playing with manufacturing data and, interested in RL and Graph DL.
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aelouass.bsky.social
That it’s time-off o’clock.
Reposted by Amine El Ouassouli
eicathomefinn.bsky.social
'Bluesky has overtaken its flailing rival X in hosting posts related to new academic research, indicating the platform is fast becoming the go-to place for scholars to share their work.'
X’s dominance ‘over’ as Bluesky becomes new hub for research
Data indicates more scholars turning to alternative social media site to post about their work after Elon Musk’s Twitter takeover
www.timeshighereducation.com
aelouass.bsky.social
13 minutes of wisdom.

“No authorities in science”.

Amen to that.
skiandsolve.bsky.social
www.youtube.com/watch?v=9_Pe... An interview with Rich. The humility of Rich is truly inspiring: "There are no authorities in science". I wish people would listen and live by this.
TURING AWARD WINNER Richard S. Sutton in Conversation with Cam Linke | No Authorities in Science
YouTube video by Amii
www.youtube.com
aelouass.bsky.social
@jfoerst.bsky.social take on how the community sees the ARC Challenge and how we evaluate models and use benchmarks nowadays is 👌.

#more_science_less_hype (please).

PS: Amazing discussion and good brain food, as usual with MLST.
ImageNet Moment for Reinforcement Learning?
YouTube video by Machine Learning Street Talk
www.youtube.com
aelouass.bsky.social
There is nothing truer than this true statement.
aelouass.bsky.social
aelouass.bsky.social
The more I read and listen to current debates in the field, the more I’m convinced that we have a model evaluation crisis.
aelouass.bsky.social
I missed this one when it came out but I can tell that it is one of the most useful piece of research I’ve read in a while.

“GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models”

arxiv.org/html/2410.05...
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
arxiv.org
aelouass.bsky.social
Seeing “very successful” and “have a somewhat loose relationship with the truth” referring to the same people is what I can’t make sense of …
aelouass.bsky.social
We really need better brain-power allocation. The current algorithm is kind of turning crazy.
tedunderwood.com
I suspect we’re going to find there is little demand for Operator-like agents that go out on the web and do shopping for you—but huge demand for personal assistants that have read all your email and all your files and can see the 3 tasks you forgot to finish.
aelouass.bsky.social
The ToDo list: a revolution.
aelouass.bsky.social
Est ce qu'on dirait que "la promotion à outrance des mathématiques est idéologique" ? ça laisse entendre que "l'IA" spécifiquement, à forte dose, est une sciences eugénisante par essence. On peut très bien en faire une interprétation/usage "progressiste" même si ce n'est pas dans l'air du temps.
aelouass.bsky.social
À mon avis, ce type d’analyse n’aide absolument pas à se faire une opinion. Le « calcul » (parce que c’est ce que c’est au finale) n’est que le calcul. En faire quelque chose d’idéologique par essence est une sur-interprétation biaisée. L’ « IA » elle même ne porte rien du tout.
aelouass.bsky.social
That’s a very good one 👌🏽
aelouass.bsky.social
Best: the most useful research you can do in the current context.
Worst: seems that it is not the main focus for now + maybe the pushbacks.
aelouass.bsky.social
May the force be with you!
aelouass.bsky.social
Is it an outlier, though?

(and one way of coping for me is to listen to MLST to hear more nuanced, or at sounder, views and opinions + reading)
aelouass.bsky.social
100%
aendra.com
ændra. @aendra.com · Jan 16
Great to see orgs without any prior involvement with the dev community on here very successfully fundraising for fairly nebulous goals while the entire dev community is paying out-of-pocket for tools all y'all are using daily.
aelouass.bsky.social
The more I read and listen to current debates in the field, the more I’m convinced that we have a model evaluation crisis.
aelouass.bsky.social
I never understood people going to concerts to spend their time there attending through the tiny screens of their phones.
aelouass.bsky.social
Basically, IMO, given that all assertions have different degrees of consensus in the population, accurate sequential token prediction may overlap or not with accurate “truth” in the “meaning” or conceptual realm.
aelouass.bsky.social
The model may represent truthfully what’s in the dataset, even if it is untruthful. An analogy I often use: you don’t decide if evolution exists by popular vote. The vote tells what the population thinks. Research work even if it is coming from a single individual is more relevant in “truthfulness”
aelouass.bsky.social
Is it just me or are we in an Eliza effect pandemic?
aelouass.bsky.social
What is clear for me is that the current hype is not helping the calm development of these methods and collaboration with other fields.

PS: as someone mentioned, cross domain collaboration is key when it comes to ai research. It is hard, but it is key.
aelouass.bsky.social
If it is not satisfactory at an epistemological level, it is not always clear at the moment and advances in the field will highlight that later. Is that non-integrity ? I would say no (maybe I’m mistaken).