sami

[Prof. Anima Anandkumar @AnimaAnandkumar]

Tackling a 60-year-old challenge in quantum chemistry: making density functional theory scale nearly linearly with system size.

This has huge implications for opening the door to realistic systems that have traditionally been too expensive to simulate.

AI has attempted to accelerate these calculations, but models generally struggle to extrapolate, particularly to systems larger than those seen during training. Unlike text or images, quantum-mechanical training data is extremely expensive to generate.

We present a single unified AI model that performs quantum-mechanical simulations of both molecules and materials in quasi-linear time.

Using a novel Fourier neural operator variant, we learn the underlying Kohn–Sham equation map to produce physics-informed, self-consistent answers.

Unlike prior AI approaches that directly predict chemical properties, our model works through intermediate steps to improve difficult predictions, resembling inference-time reasoning in large language models.

To demonstrate its scalability, we run a self-consistent calculation of a magnesium dislocation with about 80k electrons on a single GPU, which previously required about 7k GPUs.

https://t.co/5DG12E04Rh

@DanishK42 @Caltech

[sami @samishams_]

@EpsilonTheory Amusingly I wrote about this from a different angle last week

https://t.co/hex48QNotw

[sami @samishams_]

@Polymarket @BrianRoemmele Easiest way to boost IPO price 😂

[Generalist @GeneralistAI]

Introducing GEN-1.5, a one-shot learner.

It can learn new tasks in a few seconds. Show it what to do, and it generalizes.

This capability emerged from pretraining on physical data at scale, as a step towards our mission of building general intelligence for the physical world.

[Richard Medhurst @richimedhurst]

War and politics are inherently unfair, and ultimately based on violence and domination.

Truly, if you're expecting justice or fairness in this domain, I can tell you straight up: you're never going to find it. And you picked the worst domain in humankind to look for it.

[sami @samishams_]

https://t.co/hex48QNotw

Thanks to @PeterMcCormack @DannyGoler @ZeitvilleMedia and Geoffrey West for inspiration

[sami @samishams_]

My latest essay inspired by the recent solar eclipse which I was lucky enough to witness.
Link below:

[sami @samishams_]

@DarioAmodei https://t.co/Ll5WoAhZMG

[SBF @SBF_FTX]

1) I'm sorry. That's the biggest thing.

I fucked up, and should have done better.

[sami @samishams_]

https://t.co/hex48QNotw

Thanks to @PeterMcCormack @DannyGoler @ZeitvilleMedia and Geoffrey West for inspiration

[sami @samishams_]

My latest essay inspired by the recent solar eclipse which I was lucky enough to witness.
Link below:

[sami @samishams_]

$DFSC potentially due a large short squeeze.

Securities lending at IBKR still at 95% after a 75% move in 5 days.

[Massimo @Rainmaker1973]

This computer science graduate with a minor in Mathematics built a 32-bit Redstone computer in Minecraft

[🎞️ ryan_boulds]

[sami @samishams_]

$DFSC potentially due a large short squeeze.

Securities lending at IBKR still at 95% after a 75% move in 5 days.

[Stock PlayMaker 🌐 @stockplaymaker1]

$DFSC NEEDS CLEAN BREAK HERE 3.10/3.20 FOR ANOTHER BIG PUSH; WE ARE LIVE

[sami @samishams_]

@stockplaymaker1 🤝

[sami @samishams_]

$DFSC potentially due a large short squeeze.

Securities lending at IBKR still at 95% after a 75% move in 5 days.

Low liquidity $6 million market cap 🚀

Remember $GME?

[sami @samishams_]

@BrianRoemmele @pilot_winds Very interesting. I find AI is weakest at 7., and that’s the stage that requires the most human input/steering. Important study, thanks for sharing Brian

[sami @samishams_]

@nateinthewild Damn that’s good! Finished this one this morning..

[sami @samishams_]

@jimcramer Perhaps better off looking for alternative perspectives then?

https://t.co/pTACN3rYmq

[sami @samishams_]

@alexeixbt Couldn’t agree more
https://t.co/mvExT4UeDV

[Carl Jung Archive @QuoteJung]

people don't have ideas. ideas have people.