I updated my Mastodon for the first time since I created it in November: dmm.dreamwidth.org/65045.html

It turns out I follow this cool account: arXiv Highlights AI/ML sigmoid.social/@arxiv@creative.ai

Twitter seems to gradually becoming somewhat less effective as a source of information; I should probably read Mastodon more...

The details will be in comments (I have mixed feeling about all this).

I am seeing people talking about their talks being accepted for Strange Loop. It seems that this will be the last Strange Loop conference (I have no idea why).

Terence Tao is co-organizing "AI to Assist Mathematical Reasoning" online workshop (June 12-14).

Joint conference of "Algebra and Coalgebra in Computer Science" and "Mathematical Foundations of Programming Semantics" is on June 19-23 (free for those who participate online).

This week, Nov 17-18, Thu-Fri, 8am-11:45am Boston time, "Quantum physics and the first-person perspective": www.essentiafoundation.org/quantum-physics-and-the-first-person-perspective/seeing/

JuliaCon 2023, juliacon.org/2023/ the call for proposals is posted, deadline Dec 18: pretalx.com/juliacon2023/cfp


I've spent more quality time focusing of two breakthroughs in understanding the nature and the behavior of machine learning models which came from the "penumbra" of "prosaic alignment" start-ups and which I wrote about in my previous two posts.

"Grokking is (more or less) solved." I took brief notes between Oct 21 and Oct 23: github.com/anhinga/2022-notes/tree/main/Grokking-is-solved

"Generative autoregressive models are similators." I took extensive notes between Oct 5 and Oct 23: github.com/anhinga/2022-notes/tree/main/Generative-autoregressive-models-are-similators

I am continuing to develop thoughts related to these topics, I am going to gradually write more about those topics in the comments.

1st International Conference on Automated Machine Learning: automl.cc/

Follows ICML 2022 🇺🇦 icml.cc/ (one can attend virtually as well)

Neural Architecture Search is prominent and includes a competition: sites.google.com/view/zero-cost-nas-competition/home

The most notable keynote is by Jeff Clune, "AI-generating algorithms: the fastest path to AGI?"

research.samsung.com/sanw

Free registration, 9am-1pm USA East Coast Time each day

The event in Russia is cancelled. Международный конгресс математиков в "Ленинграде" отменён.

The dates remain July 6 - July 14: www.mathunion.org/fileadmin/IMU/ICM2022/ICM_2022_statement.pdf

en.wikipedia.org/wiki/International_Congress_of_Mathematicians

agi-conference.org/

(Registration for online participation is free; a small fee if one wants to do it in person.)

This is not a "first-tier" AI conference, but this year has a larger number of interesting "external" keynote speakers than usual (perhaps, people are starting to feel that "artificial general intelligence" is no longer a far-in-the-future remote topic, but something becoming acutely relevant): Yoshua Bengio, Francois Chollet, Tomas Mikolov, Joseph Urban.

juliacon.org/2021/ and live.juliacon.org/

The talk schedule: pretalx.com/juliacon2021/schedule/ (the default is UTC time, I see that I can switch to New York)

If you register (free), this gives access to discord, gathertown, and hackaton.

I'll keep notes in the comments.

I am very interested in sparsity in neural nets and I am super-happy that the community around sparsity is growing, and the first workshop on the subject had just taken place.

The key organizer is D.C.Mocanu; I did an experimental PyTorch project building upon his work a couple of years ago.

I learned about this via the ML Collective reading group mailing list. The links are in the comments.