Dong Dai

Associate Professor @ University of Delaware

[Dong Dai @daidong]

https://t.co/E2VEFBDkuf

[U.S. Department of Energy @ENERGY]

Wind and solar energy infrastructure is essentially worthless when it is dark outside, and the wind is not blowing. https://t.co/61rquLn5bg

[Dong Dai @daidong]

i have to quote this. it is remarkable

[Mike Rundle @flyosity]

@ENERGY hey I think it would be cool if maybe the next time we get to pick who is running our institutions we choose people who are not the dumbest motherfuckers to ever exist on planet earth to hold those positions

just an idea

[Dong Dai @daidong]

You can image being an advocator of LLM for complex math problem, the more you say positive things about it, the more those companies want you to say. You then will not say negative things when you are not sure or you are biased already.

[Dong Dai @daidong]

What a wonderful article.
On “Retirement,” Gratitude, and the Future https://t.co/FpO9m0dVb2

[RL_Conference @RL_Conference]

As good a way as any to announce that Andrew Barto is our final keynote speaker, giving a talk on the history of RL

[Dong Dai @daidong]

What

[Eugene Vinitsky 🦋 @EugeneVinitsky]

A PhD is really great for folks that don't yet have the skills they want.
For me I exited undergrad knowing:
- basically 0 programming
- 0 optimization
- 0 ML
(curse you physics)
but a PhD let me take time and develop those skills.

[IEEE Cluster 2025 @IEEECluster]

IEEE Cluster 2024 will be held in Kobe, Japan, from 24 to 27 September 2024.
Visit the Cluster 2024 webpage!
https://t.co/FqslFLh7pq

[Shriram Krishnamurthi (primary: Bluesky) @ShriramKMurthi]

It is with immense pleasure that @KathiFisler, Ben Lerner, @joepolitz, and I announce the first version of our new book, DCIC: a Data-Centric Introduction to Computing. This brief thread explains the book a little. 1/10
https://t.co/3OT5hOLHsE

[Dong Dai @daidong]

Log over Log could be problematic? Hmm.

[Phil Eaton @eatonphil]

> Don’t stack your Log on my Log

You get a log. And you get a log. And you get a log.

https://t.co/jRfUUfyJhy

[Dong Dai @daidong]

Already on it now…

[Dong Dai @daidong]

Just checked the author’s RL online course in GTech.

[Steven Strogatz @stevenstrogatz]

I’ve just started reading this book, and it’s fantastic! Super informative and funny. I don’t know the author, Michael Littman, personally, but it’s obvious from every page that he is a marvelous teacher. HIGHLY Recommended!

[Steven Strogatz @stevenstrogatz]

I’ve just started reading this book, and it’s fantastic! Super informative and funny. I don’t know the author, Michael Littman, personally, but it’s obvious from every page that he is a marvelous teacher. HIGHLY Recommended!

[Dong Dai @daidong]

@lorisdanto No idea that professors also have such anxieties.

[Dong Dai @daidong]

Interested and a great workshop.

[HotStorage @HotStorage]

HotStorage’24 invites submissions (https://t.co/S7oEVbVGMD) on topics in storage, data applications and cross-disciplinary areas. Join us in shaping future of storage systems! Submissions due by 03/22/2024 (https://t.co/QH7yDq516T)

@usenix @TheOfficialACM @IEEEComputerSoc

[Jason Crawford @jasoncrawford]

Academia cares whether an idea is new. It doesn't really have to work

Industry only cares if an idea works. Doesn't matter if it's new

This creates a gap. Actually a few gaps:

[Richard Sutton @RichardSSutton]

Yes, the agent architectures that Yann LeCun and I work on are both instances of “the common model of the intelligent agent”. And it’s not just an AI thing. You can find the same ideas in psychology, economics, control theory, and neuroscience. See https://t.co/F1HgND82vo

[Rob Donnelly @RobDonnelly47]

Friends don't let friends make bad charts!

Chenxin Li, pulled together a lot of great advice for data visualization, with clear "do this, not that" examples for each item.

Here are a few of my favorites, see the link below for more.

[alz @alz_zyd_]

There's a common mistake young people make across many fields, which we might call "Goodhart overhang": sticking too long to old and familiar goal-metrics when the objective function has changed, and the metrics are no longer relevant. Examples: