Anthony Aróstegui

Industrial engineer & software engineer and (sometimes) play the guitar and uke

[Anthony Aróstegui @anargu101]

Lanzando VIT - Una lista curada de links y recursos en Tech, UI/UX, Ciencia y demás. Guarda, maneja, y comparte tus links para leerlos después en cualquier dispositivo. Dale una prueba, mantente actualizado y sé productivo.

https://t.co/0YdbNt7KjK

[ℏεsam @Hesamation]

this Anthropic researcher wrote one of the best articles you can find here on AI research. obviously, Hamming's classic book is highly suggested to learn how to develop a "Research Taste".

[Thariq @trq212]

https://t.co/R6exTuF7P8

[Ragi Yaser Burhum @rburhum]

ONPE e IA: ¿Cómo usar IA para extraer, analizar y visualizar a los datos de la ONPE? https://t.co/QI6uIG5R9m

[Praveen Kumar @praveenisomer]

ASCII cards

[Bender @Benderkt68]

@carlosadams ✅ **Aquí tienes el link de GitHub del repo claw-code** (el que reescribió Sigrid Jin):

**https://t.co/r02VtnszmM**

Es el que menciona el post (ya tiene decenas de miles de stars y forks). ¡Ahí está todo el código reescrito!

[Erick @ErickSky]

🚨 Obsidian users… ¿están listos?

Presentando Tome: la app macOS que hace magia.

Úsala en tus reuniones de Zoom/Meets/Teams ya que transcribe TODO localmente con IA (en tu Mac, sin nube) → detecta quién habló → y tira notas Markdown perfectas DIRECTO en tu vault.

Queda perfecta para enviársela a tu agente y que te ayude con todo lo acordado en la reunión.

Sin API keys.
Sin suscripciones.
100% privado y open source.

REPOOO👇

[Oscar Arias @OACerebro]

Enjoy!!

https://t.co/YybiZJvXP8

[Erick @ErickSky]

Repo principal (knowledge base): https://t.co/IERdvXN0py

CLI para deploy instantáneo: https://t.co/atEY8O2Tuk

[Juan @7uanF]

Para el que quiera buscar vuelos baratos acá les dejo esta API para Google Flights sin tener que scrappear:

(pronto me toca usarla)

Link: 🔗 https://t.co/idbRbcJBtB

[Miguel Ángel Durán @midudev]

¡Microsoft acaba de lanzar algo espectacular!
Se llama VibeVoice y es un modelo Open Source que genera voz en tiempo real con latencia bajísima.

En nueve idiomas distintos, incluido español.

Permite conversaciones largas con múltiples voces:
https://t.co/2vyZU621xB

[Erick @ErickSky]

🚨 ESTE ES EL REPO #1 DEL DÍA EN GITHUB (41.3K⭐)

[Twenty]

Es la alternativa open-source GRATIS y moderna a Salesforce.

Un CRM completo, 100% personalizable (kanban, Notion-style, workflows, todo), hecho por la comunidad QUE RIDICULIZA A SALESFORCE EN TODO.

REPOOO👇

[Alan @bitforth]

Yo fui ingeniero en Meta, y siempre seguía FAIR desde adentro. Lo que acaban de publicar es la versión que les dejan publicar.

Pero con eso, es más que suficiente para decirles exactamente que es lo que está pasando.

TRIBE v2 predice, vértice por vértice sobre la corteza cerebral, qué zonas activa cualquier video.

Sin escáneres. Sin humanos.

Subes el contenido, obtienes el mapa neural (activación emocional, supresión de razonamiento crítico, modulación prefrontal) antes de que el video lo vea un solo usuario.

Ahora considera la posición de Meta:

1. Tiene años de datos de Reels sobre qué contenido retiene atención, genera enojo, provoca compartir.

2. Saben empíricamente qué funciona. TRIBE v2 les da el mecanismo causal de por qué funciona (a nivel de tejido cortical) Eso convierte correlación histórica en capacidad predictiva sobre contenido nuevo.

3. Internamente hay herramientas que se llaman Gatekeepers y Quick Promotions que sirven para inyectar contenido en el feed de poblaciones arbitrarias a escala.

4. Simulador de respuesta cerebral + conocimiento empírico de contenido efectivo + maquinaria de distribución selectiva. El pipeline está completo.

Y luego está Thiel. Inversor y amigo personal de Zuck. Fundador de Palantir, cuyo negocio es análisis de poblaciones a escala para gobiernos e inteligencia.

NO es descabellado observar que confluyen los incentivos de plataformas construidas por las mismas personas.

La licencia CC BY-NC dice que Meta retiene los derechos comerciales del predictor de respuesta cerebral más preciso jamás construido.

Y recuerda, esto es lo que decidieron hacer público.

[Advait Paliwal @advaitpaliwal]

I built Feynman, Claude Code for research.

I gave it a question and it came back 30 minutes later with a cited meta analysis.

It can also replicate experiments on Runpod, audit claims against code, and simulate peer review.

Open source & MIT license, link below

[Andrej Karpathy @karpathy]

Software horror: litellm PyPI supply chain attack.

Simple `pip install litellm` was enough to exfiltrate SSH keys, AWS/GCP/Azure creds, Kubernetes configs, git credentials, env vars (all your API keys), shell history, crypto wallets, SSL private keys, CI/CD secrets, database passwords.

LiteLLM itself has 97 million downloads per month which is already terrible, but much worse, the contagion spreads to any project that depends on litellm. For example, if you did `pip install dspy` (which depended on litellm>=1.64.0), you'd also be pwnd. Same for any other large project that depended on litellm.

Afaict the poisoned version was up for only less than ~1 hour. The attack had a bug which led to its discovery - Callum McMahon was using an MCP plugin inside Cursor that pulled in litellm as a transitive dependency. When litellm 1.82.8 installed, their machine ran out of RAM and crashed. So if the attacker didn't vibe code this attack it could have been undetected for many days or weeks.

Supply chain attacks like this are basically the scariest thing imaginable in modern software. Every time you install any depedency you could be pulling in a poisoned package anywhere deep inside its entire depedency tree. This is especially risky with large projects that might have lots and lots of dependencies. The credentials that do get stolen in each attack can then be used to take over more accounts and compromise more packages.

Classical software engineering would have you believe that dependencies are good (we're building pyramids from bricks), but imo this has to be re-evaluated, and it's why I've been so growingly averse to them, preferring to use LLMs to "yoink" functionality when it's simple enough and possible.

[Yilio @yiliush]

source code now available
https://t.co/Nhhm5e2lRh

[SONIA @S0N_IA_]

🚨| Este ruso ha encontrado la manera de aprender cualquier cosa 10 veces más rápido con IA.

NotebookLM + Gemini + Obsidiana

Este es uno de los mejores videos que os traigo, dadle apoyo

[conduct|r @conductr_]

This book is going to change how an entire generation thinks.

[Nav Toor @heynavtoor]

🚨 Governments pay millions for this. Someone just open sourced it for free.

It's called Crucix. It watches the entire world. And texts you when something changes.

It pulls from 26 live data sources every 15 minutes and renders everything on a single Jarvis-style dashboard.

Here's what it watches:

→ Satellite fire detection (NASA)
→ Live flight tracking
→ Radiation monitoring
→ Conflict zone events
→ Economic indicators from the Fed
→ Live market prices, crypto, oil, and commodities
→ Sanctions lists
→ Social sentiment from 17 Telegram intelligence channels
→ Maritime vessel tracking
→ News from GDELT and RSS feeds

Here's what makes this one different:

It's two-way. It pushes alerts to your Telegram and Discord. You text it back. Type /brief from your phone and get a full intelligence summary. Type /sweep to force a new scan. It responds like an assistant.

It even generates trade ideas based on cross-domain signals.

No cloud. No subscription. No telemetry. Runs on your machine.

node server.mjs

That's it. Your own intelligence terminal.

This is the kind of setup that costs six figures behind closed doors.

100% Open Source. MIT License.

[Diario฿itcoin @DiarioBitcoin]

https://t.co/0K19lrsA0g

[Anmoldeep Singh @anmold_s]

Just added Mapcn Blocks.

Adding maps to your React apps is now simpler than ever.

Beautifully crafted examples for common use cases, just drop them in, customize to your needs, and ship.

More blocks coming soon.

https://t.co/xOt6deMqQa