Attention Is All You Need: the seed of modern generative AI
The 2017 paper that changed the paradigm: from reading word by word to having every word consult every other word at once.
// espacio-latente.com
Ideas in a latent state,
The rack
2 ideas decodedInside the LLM
1 of 3 published
The inner mechanics: attention, representation, compression, and the smallest units of text.
¿Qué es el espacio latente? La geometría del significado
Not translated into English yet — you can read it in Spanish. Read in Spanish
Autoencoders: compressing to understand
How a model learns to summarize without losing what matters.
Tokenization: from text to numbers
The first step, and why the model doesn't see words but fragments.
Agents, step by step
1 of 1 published
With the foundations already in the rack: how a model goes from predicting text to acting.
Agent-bio
An agent that speaks for me: who I am, what I do, and why.
Build log
0 of 1 published
This site is also a case study: what gets built, with which pieces, why, and what gets dropped along the way.
Cómo se construye este sitio: el porqué detrás de cada pieza
Not translated into English yet — you can read it in Spanish. Read in Spanish
El radar aprende a recordar: memoria semántica y una suposición que resultó falsa
Not translated into English yet — you can read it in Spanish. Read in Spanish
Semantic dedup: keeping the radar from repeating itself
Embeddings and vector search so the same story never gets published twice.
The machine room
1 project runningThese aren't articles, they're machines left running: things I've built that are still working (or waiting for me to pick them back up).
ai-trading-lab
activeMulti-agent trading system: analyses 21 tickers daily, reasons over technical signals and sentiment using local LLMs, and executes real orders on an IBKR paper account.
LangGraphQwen3.6 (local)FinBERTChromaDBDuckDBStreamlit
Suggestion box
what module should I install next?Suggest an experiment, ask about agents, or request something you’d like to see documented here.