Dr. Michael D. Schneider

Astrophysics, space, statistics, high performance computing, and anything involving fun math. (he/him)

[Jack Stilgoe @Jackstilgoe]

“People in the tech industry often claim they are the only people who can understand and explain AI models and their impact. But reporters should be skeptical of these claims” https://t.co/vVnAn0uCrO

[Lawrence Livermore National Laboratory @Livermore_Lab]

Projected to exceed 2 exaFLOPS (two quintillion floating point operations per second) of peak performance, El Capitan will likely be the most powerful #supercomputer in the world at the time of acceptance next year. Learn more ⚡️:

https://t.co/29hNqPx9wD

https://t.co/D97JSFHsvy

[Raunak @raunakdoesdev]

A recent work from @iddo claimed GPT4 can score 100% on MIT's EECS curriculum with the right prompting.

My friends and I were excited to read the analysis behind such a feat, but after digging deeper, what we found left us surprised and disappointed.

https://t.co/mpDqlenk04

🧵

[Matteo Wong @matteo_wong]

The AI 'extinction' statement is misdirection, and Big Tech's sudden AI regulation tour is a charade—we've known their products cause real harm for years. I talk to @safiyanoble, @emilymbender, @mer__edith, @rajiinio, @FoxCahn for @TheAtlantic:
https://t.co/Pju0RsGOhi

[@emilymbender.bsky.social @emilymbender]

Why do AI boosters seem to think citations to the future ("I'm talking about better, future AI" or "This tech is young, better versions will be better at being factual") are legit?

Also: LLMs by design make shit up. That's not a temporary bug. It's what they're built to do.

[Elizabeth M. Renieris @hackylawyER]

Unfortunately, and with all due respect POTUS, these are not the people who can tell us what is "most needed to protect society" when it comes to #AI

[neil turkewitz @neilturkewitz]

@janusrose @tante What I don’t get (amongst other things) is the priority placed on the efficiency of production of text. I mean, who out there looks at our present information ecosystem & says—“the problem is that there isn’t enough content?” Truth drowns in irrelevance already. So add water?

[Lawrence Livermore National Laboratory @Livermore_Lab]

A LLNL engineer and the @SLAClab are among those sharing a @ENERGY award for their roles in building the world’s newest observatory. Learn about their work on the Legacy Survey of Space and Time camera, part of the @VRubinObs: https://t.co/BIvPlJIYLm @NNSANews

[Claudia Gonzaga-Jauregui @cgonzagaj]

"Bullying is a means for mediocre scientists to rise to the top. Some star academics reached their position because they are bullies, not in spite of it." - Excellent piece about bullying in academia (and really any other professional environment). https://t.co/JTqGBaAuuf

[@emilymbender.bsky.social @emilymbender]

Okay, I read it so you don't have to. Here's a reaction thread to @openAI / @sama 's blog post from Friday "Planning for AGI and beyond":

https://t.co/A8TMZYfFrr

[Laurence Tribe 🇺🇦 ⚖️ @tribelaw]

The “disastrous findings by these Bing testers show, at a minimum, that Microsoft cannot control its invention. The company doesn’t seem to know what it’s dealing with, which is a violation of the company’s commitment to creating ‘reliable and safe’ A.I.”
https://t.co/6v2gqVesze

[@emilymbender.bsky.social @emilymbender]

"The bots will offer us easy answers. We just have to remember that's not what we should be asking for."

Sound advice from @jetjocko

https://t.co/eFkngtxMST

[Dr. Michael D. Schneider @mdschneider]

@alexbgurvich We’re hiring at our national lab. Pay, HPC resources, and long-term career options are great! https://t.co/c9rX3fRb4m

[LLNL Computing @Livermore_Comp]

Registration is open for WiDS Livermore. 😎 Join us Wed, March 8, @Livermore_Lab as part of @WiDS_Worldwide community.

Hybrid, free, open to all. https://t.co/Bv7E9AjbYk

#WiDS2023 #WiDSatLLNL #DataScience #WomenInSTEM

[Guardian news @guardiannews]

Dark energy ‘chameleon trap’ wins £100,000 prize for Nottingham scientist https://t.co/vxdi1huc5Z

[John Hemmings @JohnHemmings2]

Few regret the loss of US manufacturing, arguing that the economy has become more oriented around the service sector & producing knowledge & innovation. But innovation is intrinsically linked to production. Manufacturers are >50% of U.S. spending on R&D. https://t.co/0GmTuksf9X

[Amazing Maps @amazingmap]

The largest volcano in our solar system (Olympus Mons on Mars) compared to Arizona.

[Andreas Peichl @APeichl]

Accessing U.S. data for research just got easier
New online portal streamlines requests for massive data sets at 16 federal agencies

https://t.co/C7D1j4dcIi

[David Chapman @Meaningness]

🤖 Are we now closing in on the point where the public understands language models have no clue what they are talking about?

How about, the point where AI labs recognize this can’t be fixed with current methods?

What happens when we reach those points?

[Todd Thompson @chargedcurrent]

A lot of this proprietary period argument comes down to "scooped." We could emphasize "first" less in this community. We could more deeply value lasting efforts over quick "I did it in the shortest time!" papers. It would improve everything about who we are and the work we do.