David Vilchez

Ahí vamos

[David Vilchez @DavidVilchez]

En el trabajo, en la vida. Me encantó. https://t.co/zzKZlaCY0P

[Fran Arbaiza @FranArbaiza]

Trabajo no es solo tiempo en el despacho. #CAMPmkt

[David Vilchez @DavidVilchez]

@jctafur y @alvarezrodrich 🥑🥑🥑

[Andrej Karpathy @karpathy]

Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

[First Squawk @FirstSquawk]

OIL PRICES DECLINE AS TRUMP ANNOUNCES INDEFINITE CEASEFIRE WITH IRAN.

[Rosa María Palacios @rmapalacios]

La ley, dejó de existir hoy.

[Javier Masías @omnivorusq]

Está derecha me representa

[Mesías Guevara @MesiasGuevara]

Srs @FiscaliaPeru esto es sedición. Srs @JNE_Peru impongan su autoridad y exijan a @rlopezaliaga1 que muestre las pruebas del fraude que alude. Basta de pataletas, suficiente con las de @KeikoFujimori

[Gonzalo Banda @gonza_banda]

En mi tierra, el sol salió muy fuerte.

Nieto fue alfeñique, es decir estudiante en el Colegio Independencia donde también estudió mi papá. Quizá el colegio más emblemático de Arequipa.

Su mitin al lado del coliseo Arequipa fue muy emblemático. La tierra no le soltó la mano.

[David Vilchez @DavidVilchez]

@rlopezaliaga1 Espera sentado no más causita.

[Jorge Nieto Montesinos @JorgeNietoMon]

La batalla continua... Lurin, Pachacamac, San Juan de Miraflores, Patterson, Orlando... Cierrenle el paso a la coalición del mal, corrupta, mafiosa... Que el Perú trabajador defienda la dignidad de la democracia. Adelante!

[Valeria Cano @valeriacano1601]

#TodosConNieto #UnaSolaFuerza
Por favor tenemos que unirnos! 🌞 @marpereztello @LopezChauNava @MesiasGuevara @foliverav

[Andrej Karpathy @karpathy]

LLM Knowledge Bases

Something I'm finding very useful recently: using LLMs to build personal knowledge bases for various topics of research interest. In this way, a large fraction of my recent token throughput is going less into manipulating code, and more into manipulating knowledge (stored as markdown and images). The latest LLMs are quite good at it. So:

Data ingest:
I index source documents (articles, papers, repos, datasets, images, etc.) into a raw/ directory, then I use an LLM to incrementally "compile" a wiki, which is just a collection of .md files in a directory structure. The wiki includes summaries of all the data in raw/, backlinks, and then it categorizes data into concepts, writes articles for them, and links them all. To convert web articles into .md files I like to use the Obsidian Web Clipper extension, and then I also use a hotkey to download all the related images to local so that my LLM can easily reference them.

IDE:
I use Obsidian as the IDE "frontend" where I can view the raw data, the the compiled wiki, and the derived visualizations. Important to note that the LLM writes and maintains all of the data of the wiki, I rarely touch it directly. I've played with a few Obsidian plugins to render and view data in other ways (e.g. Marp for slides).

Q&A:
Where things get interesting is that once your wiki is big enough (e.g. mine on some recent research is ~100 articles and ~400K words), you can ask your LLM agent all kinds of complex questions against the wiki, and it will go off, research the answers, etc. I thought I had to reach for fancy RAG, but the LLM has been pretty good about auto-maintaining index files and brief summaries of all the documents and it reads all the important related data fairly easily at this ~small scale.

Output:
Instead of getting answers in text/terminal, I like to have it render markdown files for me, or slide shows (Marp format), or matplotlib images, all of which I then view again in Obsidian. You can imagine many other visual output formats depending on the query. Often, I end up "filing" the outputs back into the wiki to enhance it for further queries. So my own explorations and queries always "add up" in the knowledge base.

Linting:
I've run some LLM "health checks" over the wiki to e.g. find inconsistent data, impute missing data (with web searchers), find interesting connections for new article candidates, etc., to incrementally clean up the wiki and enhance its overall data integrity. The LLMs are quite good at suggesting further questions to ask and look into.

Extra tools:
I find myself developing additional tools to process the data, e.g. I vibe coded a small and naive search engine over the wiki, which I both use directly (in a web ui), but more often I want to hand it off to an LLM via CLI as a tool for larger queries.

Further explorations:
As the repo grows, the natural desire is to also think about synthetic data generation + finetuning to have your LLM "know" the data in its weights instead of just context windows.

TLDR: raw data from a given number of sources is collected, then compiled by an LLM into a .md wiki, then operated on by various CLIs by the LLM to do Q&A and to incrementally enhance the wiki, and all of it viewable in Obsidian. You rarely ever write or edit the wiki manually, it's the domain of the LLM. I think there is room here for an incredible new product instead of a hacky collection of scripts.

[Ricardo Sifuentes @SifuentesRic]

5 soles para recuperar el Perú.

Pasen

La

Voz

[COMANDO SVR @ComandoSvr1986]

Invitamos a todos los aliancistas a votar por el candidato de su preferencia, pero con memoria y dignidad.

#FuerzaPopular
#APP
#PeruLibre
#Podemos
#AvanzaPeru
#FueraMierda
#NoALaLeyPerroMuerto

[Percy Mayta-Tristán @MaytaTristan]

Nieto ha tenido un despunte de búsquedas por Internet en las últimas 24 horas, ojalá se traduzca en votos mañana
🌞🌞🌞🌞🌞

[Alberto de Belaunde @AlbertoBelaunde]

🌞

[Rosa María Palacios @rmapalacios]

Vamos con fe.

#PorEstosNo

RT y pasa la voz.

[Fernando Olivera Vega @foliverav]

“Mensaje directo a @RicardoBelmontC hace más de 24 horas te he emplazado a que digas públicamente la verdad, y nada más que la verdad, respecto a tus relaciones contractuales y de negocios con @ralopezaliaga1 VIDEO COMPLETO EN EL LINK:
https://t.co/gKypV39alw
@PanamericanaTV

[Rosa María Palacios @rmapalacios]

El dilema de esta tarde.
Se resolverá en unas horas.
Datum e Ipsos con simulacro.
Datum hará simulacro por circunscripciones. Eso permite proyectar todo el Congreso.
Atentos a quien pasa y quien no.
Atentos a cuentas en el exterior. Y verdaderas.
Los periodistas peruanos no podemos difundir en el Peru pero el resto del mundo, si.

[Perú21 @peru21noticias]

🧐El drama de las víctimas de RBC

🚨 UNA ESTAFA TELEVISIVA. Accionistas de Red Bicolor de Comunicaciones (RBC), sigla que coincide con la iniciales del candidato Ricardo Belmont Cassinelli, recuerdan cómo hace 40 años fueron engañados y su frustrada lucha por recuperar su dinero.

➡️ Más información: https://t.co/1Wd4ME8l8E

#RicardoBelmont #RBC #Estafatelevisiva

[Ricardo N. @CarsVicardon]

Gente pendeja haciéndole campaña al ESTAFADOR de Belmont . No es ni la tercera parte de la plaza san Martin jaja