Javinho

@KobeissiLetter @Ovovengeful I am announcing that my home is no longer for sleeping and it is now going to be used for data centers. Hoping the value goes up!

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.

gemini es increible para aprovechar oportunidades de trading, de las que me comenta, el 70% son ganadoras

How do you know I'm a vibe coder The mf:

Si te gusta el Stardew Valley automáticamente me caes bien

long x11 en Brent Oil el viernes....

*EEUU decide atacar a España* El coche eléctrico chino de mi vecino:

vibecoding

@galindo908 me pasas por priv el codigo?

Soy el único que no puede jugar Pokemon Z porque al poner el juego en pantalla completa se queda completamente en negro?

@Eric_Lostie se me vuelve la pantalla negra al hacer pantalla completa /alt+enter o lo que sea. Sigo escuchando el juego pero no puedo ver nada. Ya he intentado varias cosas y nada :(

JUST IN: 🇱🇺 Luxembourg grants Ripple $XRP full EU Electronic Money Institution license.

@Simon_Hypixel - fix the water physics - fix some visual effects ( i.e I see white boundaries around the blocks) -easy online connection between friends -where's my fishing rod?

What are your top 5 small changes you want in Hytale? Gathering feedback today to do some quick changes that can be easily implemented in the next few days. I got a list of 100+ of my own, trying to see where we align!

One line of code. That’s all it takes to get access to Google Open Buildings, the largest building dataset, for any country. 100% free and available globally.

La Junta de Andalucía bloquea la aplicación de su propia ley estrella para reducir interinos: 260 futuros funcionarios esperan plaza ABRO HILO 🧵

No voy a trabajar hasta los 67 Ni hasta los 57 Al menos como todo el mundo entiende "trabajar". Voy a hacer todo lo posible para poder decidir cuando trabajar y cuando no.

Core MSCI World USD MSCI Global Semiconductors USD MSCI China USD Tesla / BYD XRP/Bitcoin

No es por quitarme méritos, pero en este mercado ganaría dinero hasta mi abuela. Os dejo una imagen de las principales acciones americanas los últimos 6 meses y sus revalorizaciones:

Today is the only day you can repost this

@GolDeCaye no me superarás

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