Sean Downes

@seanforscience

coffee math physics trails whatever just glad to be here.

Education

Washington, USA

pasayten.org

Tham gia vào Tháng 12 2019

6KBài đăng 249Người theo dõi 1KĐang theo dõi

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@cosmicfibretion

@CburgesCliff

@nu_phases

@AlexeyPetrov

@Quasilocal

$larrylee's profile picture. LL Cool Jr \\ Assistant Professor @ U Tennessee Knoxville \\ Research at the Large Hadron Collider \\ Creator of @collider_scope \\ He/Him$

@larrylee

@Capper2021Devin

@particleist

Sean Downes

@seanforscience

1 thg 11

In the category of things fundamentally unsurprising and probably dangerously close to catharsis. Amusing read though.

Steve McGuire

@sfmcguire79

30 thg 10

Link: thecrimson.com/article/2025/1…

‘Soul-Crushing’: Students Slam Harvard’s Grade Inflation Report | News | The Harvard Crimson

Nguồn: thecrimson.com

Maybe. But in the mean time they seem to struggle with calculations involving quadratic polynomials, for instance working with representations of sp(2n,R). If anything it’s endearing to think that machines also struggle with moving too fast and making sign errors.

Anthony Bonato

@Anthony_Bonato

31 thg 10

"Soon LLMs will do research-level math and mathematicians will be irrelevant." Me: Great, I can finally catch up on my sleep

Sean Downes

@seanforscience

29 thg 10

If you understand the “let’s make a deal” strategy then you understand why this is gibberish. Don’t get zonked.

φ

@QuanticASI

29 thg 10

Roger Penrose calculated that the probability of a universe like ours arising by chance is on the order of 1 in 10¹⁰¹²³, an inconceivably small number but you're here

QuanticASI's tweet image. Roger Penrose calculated that the probability of a universe like ours arising by chance is on the order of 1 in 10¹⁰¹²³, an inconceivably small number

but you're here

Sean Downes

@seanforscience

29 thg 10

I’m not sure if this is obvious or amazing. Which is probably a good sign. I’m glad to see people working on this.

GLADIA Research Lab

@GladiaLab

27 thg 10

LLMs are injective and invertible. In our new paper, we show that different prompts always map to different embeddings, and this property can be used to recover input tokens from individual embeddings in latent space. (1/6)

GladiaLab's tweet image. LLMs are injective and invertible.

In our new paper, we show that different prompts always map to different embeddings, and this property can be used to recover input tokens from individual embeddings in latent space.

(1/6)

Sean Downes

@seanforscience

25 thg 10

Amusingly, I managed to get Python to spit out almost all a given essay’s equations as png files.

Sean Downes

@seanforscience

25 thg 10

Sometimes it feels like LaTeX.

Sean Downes

@seanforscience

25 thg 10

Who benefits from tweets like this?

Topology Fact

@TopologyFact

24 thg 10

A space is compact if every open cover has a finite subcover.

Sean Downes

@seanforscience

24 thg 10

In all seriousness, it’s crazy to me that paying kids for getting better grades isn’t more common.

Anthony Bonato

@Anthony_Bonato

23 thg 10

People would like mathematics more if we started paying them by the equation

Sean Downes

@seanforscience

24 thg 10

Rebranding my insistence on using vi as trad coding.

Julia Turc

@juliarturc

24 thg 10

We need an official name for not-vibe-coding. My top candidates so far: · boomer coding · chewgy coding · trad coding · Coding with capital C Suggestions are welcome.