🚨 ¡Alumnos del CONALEP responden con su trabajo a influencers que se burlaron de ellos!
Estudiantes del CONALEP de Nuevo León respondieron a los comentarios realizados en el podcast de los parrilleros, donde se refirieron a los alumnos como “bandidos” y bromearon con que estaban “a nada de embarazar a una chica del CONALEP”.
🔴 En lugar de quedarse callados, los jóvenes difundieron videos mostrando las actividades que realizan en sus planteles, como mantenimiento automotriz y mantenimiento electrónico, para demostrar su preparación técnica.
🗣️ Los estudiantes rechazaron las expresiones de los creadores de contenido y señalaron que “sus comentarios no son humor, son discriminación”.
La respuesta de los alumnos pone en discusión los prejuicios hacia quienes estudian carreras técnicas en México.
Su sistema de preventa es un fracaso total!
@Cinemex
Más de 40 minutos con errores diversos.
Intento comunicarme al complejo y me contesta un chatbot que dice un ejecutivo se comunicará contigo en máximo 48 hrs.
🤬🤬🤬🤬🤬🤬🤬
@universal881fm Hola Leo y @universal881fm tengo unas sugerencias para la sección de vinyl tasting.
Made in Japan - Deep Purple
4th Album - Led Zeppelin
Number of the Beast - Iron Maiden
Heaven & Hell - Black Sabbath
Sí están muy viajados, pueden ir incluyendo algo en el día a día.
Saludos.
@antoniolupetti Spot on. I was just reflecting on how wild it is that AI finds the exact mathematical patterns connecting our ideas, jumping seamlessly across languages and code. We forcing a human comparison when we should just accept and study it for what it is: an, mathematical intelligence."
Algebrica currently contains more than 230 carefully written entries, continuously refined through supervised community feedback and contributions. Every article, image, and source file is openly available, free to access, and downloadable from GitHub under a Creative Commons license.
With this new release, I have stripped away everything that felt unnecessary and kept only the essentials. The goal was simple: create more space, improve readability, and place the focus where it belongs, on the content itself.
I’m still making a few final adjustments now that the new version is online, but this feels like the most mature and refined version of Algebrica so far.
It is another step toward making Algebrica more accessible, more global, and more widely shared, while developing a visual language and identity that are distinctive, recognisable, and built to last.
Over the last few months, Algebrica has reached a much wider audience than I ever expected. Some posts shared on X received millions of views, bringing many new readers to the project. The decision to make the content openly available on GitHub also led to valuable feedback and appreciation, something that means a great deal to me.
Over the past three years, I have written around 230 entries. In the context of the web this may not seem like a large number, but for a project built entirely by hand it represents a substantial amount of work. Every page is researched, written, revised, illustrated, and maintained individually. My goal has never been to publish content as quickly as possible, but to produce explanations that are accurate, complete, and supported by diagrams that are both useful and visually clear.
For this reason, before expanding the knowledge base further, I decided to undertake a comprehensive revision of the existing material. The objective is to improve consistency, correct mistakes, refine explanations, and raise the project's overall quality. At the moment, I am approximately halfway through this process.
If everything proceeds as planned, I expect to complete most of the revision work by the end of the summer and then return to focusing on new topics and new entries.
Thank you to everyone who has shared comments, suggestions, corrections, and words of encouragement. They help me understand that Algebrica provides value to its readers and can become an increasingly useful resource for students, teachers, and anyone interested in mathematics.
#Mathematics #Math #MathEducation #STEM #OpenSource #GitHub
@antoniolupetti I just wanted to thank you for the beautiful and incredible work you’ve done.
Mathematics has always fascinated me, but I never had the chance to truly learn it well.
Thanks to your wonderful project, I feel much closer to that dreamlike universe that mathematics represents.
"Matrix Calculus for Machine Learning and Beyond" is an interesting set of free lecture notes for understanding the mathematics behind modern deep learning. It covers gradients, Jacobians, Hessians, matrix-valued functions, backpropagation, optimisation, and many of the mathematical structures used in machine learning and AI models.
One interesting aspect is that the material maintains a strong university-level rigour while remaining highly visual: the notes include numerous diagrams, graphs, geometric interpretations, and intuitive explanations of matrix calculus applied to neural networks.
It is a valuable resource not only for students studying machine learning, but also for anyone who wants to build a solid foundation in computational linear algebra and optimisation.
https://t.co/XsnReRHu35
"Algebrica" is a free, open, and distributed mathematical knowledge base.
Since its earliest conception, I never wanted to include advertising or transform it into a click-driven platform. The goal has always been to build a rigorous, accessible, and independent space for mathematical knowledge.
Over the last few months, the project has grown significantly, thanks in part to several posts shared here on X that unexpectedly reached millions of people worldwide.
To continue growing Algebrica and progressively transform it from a personal project into a global mathematical resource, I now need your help. For this reason, I decided to launch a series of periodic fundraising campaigns.
The first one is called "The First Twenty".
The idea is simple: find the first twenty people willing to support the long-term development of Algebrica and help build an independent, ad-free mathematical infrastructure for the web.
The first supporters will appear on the Founding Supporters page with their photo and personal profile or website:
https://t.co/skqeS84FTR
No aggressive fundraising, no paywalls, no exclusive content. Just people helping sustain open knowledge together.
Thank you to everyone who has supported, shared, read, or simply spent time on Algebrica so far. It genuinely means a lot.
@antoniolupetti Great work with https://t.co/DItCHEnbEt! As a tech and structured learning enthusiast, it’s amazing to see platforms that simplify the complex and boost abstract reasoning. Thank you for this brilliant contribution and much success ahead!"
Dennis Ritchie created C in the early 1970s without Google, Stack Overflow, GitHub, or any AI ( Claude, Cursor, Codex) assistant.
- No VC funding.
- No viral launch.
- No TED talk.
- Just two engineers at Bell Labs. A terminal. And a problem to solve.
He built a language that fit in kilobytes.
50 years later, it runs everything.
Linux kernel. Windows. macOS.
Every iPhone. Every Android.
NASA’s deep space probes.
The International Space Station.
> Python borrowed from it.
> Java borrowed from it.
> JavaScript borrowed from it.
If you have ever written a single line of code in any language, you did it in Dennis Ritchie’s shadow.
He died in 2011.
The same week as Steve Jobs.
Jobs got the front pages.
Ritchie got silence.
This Legend deserves to be celebrated.
"Algebrica" is a free and open mathematical knowledge base. All entries are progressively being released in Markdown format on GitHub for anyone who wants to study mathematics freely and openly.
Alongside the texts, the individual SVG illustrations are also made freely available. They are minimal, mathematically accurate, and designed to be easily reusable in notes, lecture material, or educational resources. Since they are vector-based and code-driven, they can also be modified or improved simply by editing the source.
Another step toward making the knowledge base more open, transparent, and genuinely useful over time.
Obsidian Web Clipper makes it easy to save LLM chats and build real memory, not just context.
This feels like a small feature with huge implications for how we think, learn, and work with AI.
Game changer. Thanks @kepano
@henrytdowling@kepano Mostly as a way to externalize and curate my chats. I go through my LLM histories, clip full conversations into Obsidian, deciding what’s worth keeping, refining notes, and discarding the rest.
It helps me free up space while building a more intentional, structured memory.