Bruno Alvarenga

BI y tecnología en gral. Squashista y fanático de deportes...seguidor de Py, Olimpia y Dinamarca. Fanático del Rubik y la lectura🇵🇾🇩🇰⚫️⚪️⚫️

[Bruno Alvarenga @baac15]

Uno de mis preferidos

[Allistair McCaw @AllistairMcCaw]

QOTD:

[Mahax @Mahaximus_]

Google Brain founder, Andrew Ng:

"Prompting will die in 6 months.

Loops and Graphs are what's replacing it."

In 2 hours, he shows exactly what the best engineers already build instead, and how to start building it yourself.

The missing piece most people skip: how to connect those loops into a graph that compounds every time it runs.

Watch it, then read the full guide on loops and graphs below.

[Virginio Gallardo @virginiog]

Cuando combinas la experiencia de tu equipo con tutores en GEMs, el aprendizaje se vuelve exponencial, el conocimiento se transforma

Se aprende juntos y se construye soluciones más inteligentes con IA

El futuro del aprendizaje se basa en tutores

[Miguel Ángel Gaspar @MigueGaspar]

el vector de entrada que suele preceder al vaciamiento de cuentas o al SIM swapping.
¿Pudo haber pasado esto también en el caso de la Dip. Vallejo? Definitivamente, sí.

[Virginio Gallardo @virginiog]

Nunca minusvalores el poder de un puñado de palabras

[precis0x @precisox]

Un multimillonario subió al escenario, agarró un marcador y en 42 minutos explicó cómo funciona realmente la economía.

Gratis.
Sin vender cursos.
Sin promocionar fondos.

Dibujó tres fuerzas en una pizarra blanca:
crecimiento de la productividad, el ciclo de deuda a corto plazo y el ciclo de deuda a largo plazo.

Con esas tres líneas explicó casi todos los crashes, recuperaciones y decisiones de tasas desde 1929.

Las escuelas de negocios cobran 200.000 dólares por enseñar frameworks que él resolvió en los primeros 15 minutos.

Algunos de esos modelos todavía se consideran “propiedad” en grandes bancos y él los regaló en YouTube.

Lo más interesante: en 2018 ya estaba dibujando lo que después pasó en 2020.

Tasas en cero. Bancos centrales sin herramientas. Impresora de dinero a toda máquina. Lo escribió en la pizarra como si estuviera leyendo el periódico del futuro.

Hay gestores de carteras de primer nivel que hacen que sus analistas junior vean esta charla antes de tocar un terminal.

No el material del CFA. No la formación interna. Esta.

Millones de personas la han visto.
Casi nadie puede nombrar las tres fuerzas que dibuja en los primeros diez minutos.

Y sigue estando gratiss.
Te recomiendo ver y guardarlo.
ES UNA JOYA.

[Miguel Ángel Gaspar @MigueGaspar]

Quiero compartir algunos detalles con respecto al vaciamiento de la cuenta de la Sra. Diputada @RocioVallejoA y sobre el posible vector de ataque. Lo más posible es que se trate de "Remcos", un Software que se comercializa para administración remota de equipos, pero es usado con

[codila @0xCodila]

Google just released free 2-hour course on full Graph engineering: 1 prompt → 100 agents → loops → graphs from 0% to 100%:

10% → 17:44 - build your first agent
30% → 39:30 - Loop engineering: iterate, check, break
60% → 1:12:38 - Graph engineering
75% → 1:34:26 - agents that throttle themselves
100% → 1:55:05 - full graph for multi-agentic systems

everyone builds one agent and calls it done - this is the full system where agents wire themselves into a graph

watch the course, build the graph - then read the full architecture below ↓

[Lumen @lumenxbt]

Ten million people have watched an MIT professor accidentally destroy the executive coaching industry.

He filmed the lecture once in January 2018 and died eighteen months later.

Executive coaches charge fifteen thousand dollars a session to teach a third of what he covered in one hour for free.

His name was Patrick Winston. He ran the MIT Artificial Intelligence Laboratory from 1972 to 1997 and wrote the AI textbook every computer science major in the world read for thirty years.

Every January for four decades, he gave a lecture called "How to Speak."

His entire framework fits on a napkin.

Do not read. Be in the image. Keep images simple. Eliminate clutter. Start with an empathetic connection. End with a punch line the audience can repeat over dinner. Never open with a joke. Never end with "thank you."

That last rule alone has probably cost the executive coaching industry a hundred million dollars.

"Your success in life will be determined largely by your ability to speak, your ability to write, and the quality of your ideas. In that order."

That is the actual opening line of the lecture. Winston believed it strongly enough to spend fifty years teaching computer scientists how to talk.

Founders spend $80,000 on an MBA and then hire a communications coach to teach them the same material Winston filmed once for free. Engineers write brilliant code and lose promotions to teammates who watched this lecture on the train.

The lecture is free on MIT OpenCourseWare. The textbook is free on his page.

Winston died in 2019. Almost none of the ten million viewers have actually implemented the four rules on the napkin.

The napkin is free. The willingness to actually use it in your next meeting is the entire edge.

[Abyzon @Abyzonn]

HARVARD FILMED THE FIRST LECTURE OF THEIR MOST POPULAR STATISTICS COURSE - TAUGHT BY A PROFESSOR WHOSE STUDENTS CALL HIM THE BEST TEACHER THEY HAVE EVER HAD - AND IT PROVES WHY EVEN ISAAC NEWTON GOT PROBABILITY WRONG

This is Joe Blitzstein, Harvard, Statistics 110, lecture 1. He has won Harvard's Excellence in Teaching award multiple times, his textbook Introduction to Probability is used in over 200 universities worldwide, and his online course has been taken by over 2 million people across 190 countries. He opens by saying that after a few weeks of this course you will easily solve calculations that 300 years ago required consulting Isaac Newton - and Newton's intuition was still wrong.

He traces probability to Fermat and Pascal writing letters back and forth in the 1650s analyzing gambling games. No one had mathematically derived the rules before. They invented the subject by betting on dice in correspondence. Then he shows why the naive definition - probability equals favorable outcomes divided by total outcomes - breaks immediately. Ask what the probability of life on Neptune is. Either there is or there isn't. By the naive definition the answer is 1/2. So is the probability of intelligent life on Neptune. Something is severely wrong.

Then the multiplication rule. Two types of ice cream cone and three flavors gives 6 combinations - not because you memorized it but because you can draw a tree and count branches. Every counting problem in the course is just a bigger version of that tree. Then binomial coefficients - n choose k counts the number of ways to select k objects from n when order doesn't matter. The full house in poker falls out in 4 lines of multiplication once you understand the tree.

Watch the moment he fills in the sampling table - with or without replacement, order matters or doesn't. Three of the four boxes are immediate from the multiplication rule. The fourth requires a proof he saves for next lecture. That one box is harder than the other three combined.

A data scientist I know rewatched this lecture before switching careers into statistics. Said it was the first time probability felt like a system with rules rather than a collection of tricks.

Free on YouTube, Harvard, over 2 million views.

bookmark this and watch later - after this lecture you will never again confuse equally likely with obviously true

[Última Hora @UltimaHoracom]

La Superintendencia de Bancos del BCP emitió una serie de recomendaciones para que los usuarios reduzcan el riesgo de ser víctimas de fraudes electrónicos ante el aumento de los casos de vulneración de cuentas bancarias registrados en el último año.

https://t.co/BvwzYrPvpa

[DENIRO @polyesp]

🚨Si solo pudieras ver UNA clase de negocios en toda tu vida… que sea esta.

41 minutos de Peter Thiel en Stanford que valen más que cualquier curso de miles de dólares.

Olvídate de los consejos reciclados que repiten todos los “gurús”.

Aquí Thiel te explica sin filtros:
Cómo construir un monopolio desde cero
Por qué competir es la forma más rápida de matar tu empresa
Qué hicieron realmente Google, PayPal y Facebook para dominar sus mercados

He leído libros enteros de estrategia que no concentran ni la mitad del valor que dan los primeros 15 minutos de esta charla.

Y lo mejor: es completamente gratis.

No importa si estás creando una startup, escalando un negocio o solo quieres pensar como los que realmente ganan…

Después de verla vas a mirar cualquier empresa con otros ojos.

Guárdala.
Vas a volver a ella más de una vez.

[liam. @liambraus]

CURSO COMPLETO DE CLAUDE CODE. GRATIS.

Jouhatsu acaba de publicar una formación de más de 6 horas.

Desde cero hasta un nivel profesional.

Aprende a:

→ configurar Claude Code
→ crear flujos de trabajo
→ desplegar proyectos
→ automatizar tareas
→ usar equipos de agentes
→ conseguir clientes
→ monetizar tus habilidades

Todo explicado paso a paso.

Guárdalo antes de perderlo. 🔖

[Miguel Ángel Durán @midudev]

¡CISCO tiene 2 cursos de Python en Español y gratis!
Certificado final y +70 horas de contenido:
→ https://t.co/6NH2QGXkmQ

[Hasan Toor @hasantoxr]

If you want to become a world-class AI engineer in 2026, watch these 12 YouTube videos (save them):

[LongevityLab @LxngevityLab]

Your VO2 max predicts how long you'll live better than your cholesterol, your blood pressure, or almost any blood test your doctor runs.

In a study of 122,000 people, low fitness was a bigger death risk than smoking.

Here's how to boost it:

[beamnxw ./ @beamnxw]

This paper is f*cking brilliant

A computer science paper establishes harness engineering as the primary determinant of AI agent reliability

The result: the ETCLOVG seven-layer architecture unifies execution sandboxes, tool protocols, context state, lifecycle graphs, observability, verifiers, and governance

The crazy part is how harness engineering boosts performance without changing the underlying model

Optimizing the execution harness alone increased SWE-bench coding benchmarks from 6.7% to 68.3%

Most developers try to fix agent failures by upgrading to larger LLMs

This framework shifts system reliability from model weights to deterministic harness architecture

Read the complete paper + article below

Bookmark it for future reference

[santi @santtiagom_]

curso de Google para aprender agentes desde cero.

el roadmap:

1) crear tu primer agente
2) conectarle tools con MCP
3) loop engineering
4) construir un sistema autónomo completo

además, incluye temas como sistemas multi-agente, streaming y A2A.