marcolongo

Por el amor de eru

[Hernán Lacunza @hernanlacunza]

Para qué quiero ser presidente? Quién me inspira? Qué me diferencia de Milei?
Construir no es demoler. La violencia no es de forma. Alcanza solo con el PRO?

Entrevista completa
https://t.co/Sqi1Vd5pr6
@Fontevecchia @perfilcom Spoiler: no hablamos de economía

[The Scientific Lens @LensScientific]

Nature doesn’t need to tell a particle where to go.

It just gives us the equation that tells us how its quantum state changes. The rest is mathematics.

[Eron @0xEronn]

Hamilton spent 10 years trying to build a 3D number system. On October 16, 1843, walking across a bridge in Dublin, he realized he needed 4 dimensions instead - and carved the equation into the stone on the spot.

Quaternions are what every robotics system, 3D game engine, and LLM positional encoding falls back on when rotation math gets hard. This video builds the full 4D geometric intuition using stereographic projection - the same trick that maps a sphere onto a flat screen.

30 minutes. Bookmark & watch today. The Alice in Wonderland connection alone is worth it.

[Gaston Giribet @GastonGiribet]

Mapeando monstruos: la publicación de nuevos datos revela vistas de todo el cielo de agujeros negros supermasivos, https://t.co/Hi24Zo1X8J

[Antonio Lupetti @antoniolupetti]

"Understanding Transformers and Attention Mechanisms" is a very interesting paper that presents the Transformer architecture from the perspective of applied mathematics.

It starts by representing text as vectors and explains mathematically how the attention mechanism processes these vectors to encode contextual information. It then develops Multi-Head Attention and shows how the main components of the Transformer architecture are constructed.

The paper also discusses more recent methods designed to reduce the computational and memory costs of attention, including KV caching, Grouped Query Attention, and Latent Attention. I think it is a useful reference for anyone interested in understanding Transformers beyond their high-level architecture and in seeing the linear algebra behind modern language models.

https://t.co/Rlun9QT7zx

[fintex @_yusufknl]

As someone who trains LLMs, this 20-minute gradient descent video is the closest thing to a "why the memorization vs generalization debate matters" explainer I've ever seen released for free.

Everyone thinks neural nets learn features. They often just memorize. The video walks through the 2017 paper that shocked the field: shuffle your labels randomly and modern networks will still fit them perfectly.

25 minutes. Bookmark & watch today.

[fintex @_yusufknl]

Schrodinger's equation, Neural ODEs, and every LLM built on Mamba use one operation: raising a matrix to a power. Sounds like nonsense until you see it.

A Stanford math grad just released a 27-minute walkthrough starting from a mass on a spring and building up to quantum mechanics. Publicly free.

Bookmark & watch this weekend. Same operation, from 1926 to 2025.

[marcolongo @Spinor2]

@hernanlacunza @JMilei Lacunza 2027

[Dr Milan Milanović @milan_milanovic]

Friday Developers Fun 🤣

When the project is not ready, but the client wants to see the demo

#developers #softwareengineering #meme #fridayhumor

[isma @ismanewells]

como carajos logró el Balon De Oro Di Stefano jugando así?? 😭😭

[Ramón Indart @rindart]

El detalle que no se vio en velocidad normal es cuando la levanta suave por la rodilla del último inglés. Imposible entender esa destreza hermano!

[Dead Weight @Klukva_Games]

If you love large-scale RTS games with authentic formations and strategic decision-making, keep an eye on Veterans: Napoleonic Wars! 🤺

[cris @_crisenberg_]

esto es real?

[Andy Olivera @soyandyolivera]

Graves disturbios en Suiza tras quedar eliminados

[Subo una patada random todos los días @mejorespatadas1]

Lo voy a decir: Ayer se utilizó mal el VAR. Argentina ROBÓ.

Pero no por la expulsión de Embolo, sino por esta patada de Messi. ¿Cómo no le sacaron roja? Es inexplicable.

[Frank Nielsen @FrnkNlsn]

Two nice books: Intermediate textbook on Information Geometry (2014, left) and applications of IG in neuromanifolds (2020, right).

IG2014 is a great reading after Amari 2016 textbook and applications textbook.

List of textbooks/monographs on IG added to

https://t.co/u7PWdIRwtU

[Kirk Borne @KirkDBorne]

Download 698-page PDF eBook…

Everything You Always Wanted To Know About Mathematics* (*But didn’t even know to ask)

A Guided Journey Into the World of Abstract Mathematics, Theorems, and the Writing of Proofs: https://t.co/JLsDOmpP1q

[Physical Review E @PhysRevE]

A new study delineates the role of quorum sensing in multispecies microbial communities by applying a new version of the Lotka-Volterra model — and shows quorum sensing promotes community diversity, survival, and antifragility.

🔗 https://t.co/9jhhDZlZdG

[𝖚𝖈𝖎𝖝𝖌𝖊 🧙‍♂️🔮 @realjuanruocco]

Solidaridad total con @FioSargenti y todos los compañeros despedidos: Manu, Tornado, Nono, Juli Ardilla, el Tano, Dani, Nachito y todos los demás.

Los OVARIOS de Fio, mamita.