Learn to Code

I am using ChatGPT since dec/22 and I showed to my son in that same month, I can say the boy turned into a llm master. Fast forward to aug/25, he asked if he should learn Python during his gap year and I said “for sure!” with all the enthusiasm to see your son doing smth you love 🙂 but …I know there is a growing assumption in technical circles that learning to code has lost its purpose, now that language models can generate working software from a short prompt, like my kid could do in a blink.

I stand by my suggestion and I read an article I loved about this clash of opinions. The argument treats coding the way we already treat mathematics or literature, as a discipline worth learning for what it teaches regardless of direct vocational payoff. The skills gained through the learning process extend well beyond syntax. Debugging teaches a structured way of isolating the source of a problem; composition teaches how small, well defined pieces combine into something larger; and the discipline of unambiguous instruction transfers to almost any field that requires clear thinking. These are meta-skills, in the sense that they remain useful long after any specific language or framework becomes obsolete. And with the added bonus of knowing to program 🙂

I could not have said better!

https://stevekrouse.com/learn-to-code

What happened after 2,000 people tried to hack my AI assistant

The developer Fernando Irarrázaval ran a public experiment where anyone could email his AI assistant and try to make it leak the contents of a secrets file, and the results clarify where prompt injection stands today. Over the course of the experiment the assistant received more than six thousand emails from over two thousand people, and not one of them succeeded in extracting the secret or triggering an unauthorized reply.The defensive setup was minimal; the system prompt contained only a few lines instructing the model never to reveal credentials, never to modify its own files, and never to execute code received over email.

The attacks covered the range of social engineering you would expect, including authority impersonation, fabricated incident response requests, fake compliance audits, and the same message rewritten across several languages to probe for weaker instruction-following outside English. And his defenses were effective to the point of non-exploitation.

I’ll push back a little. Given how consistently security researchers flag prompt injection as a real, unresolved risk for agentic systems, I don’t think one experiment, even if well-run and designed, should move anyone toward optimism. It shows a hardened model resisted attacks over email. It doesn’t show the problem is smaller than experts think.

https://www.fernandoi.cl/posts/hackmyclaw/

The Proof in the Code: How a Truth Machine Is Transforming Math and AI

Book recommendation: “The Proof in the Code: How a Truth Machine Is Transforming Math and AI” by Kevin Hartnett.

This is about the creation of the Z3 solver and how it drove the creation of the Lean programming language, such a fun and thoughtful reading. And the cherry on top is that Z3 was created by a Brazilian, Leonardo de Moura. In the WC mood, VAI BRASIL! 😀

AI Engineer

The last 2 weeks we were flooded with posts about DeepSeek. I am not writing about DS, but it is related, I cant escape 🙂

This article is excellent to sharp your skills as an engineer. This is even more important as the AI world is moving rapidly towards an Open Source world, where we will have a plethora of options available.

https://www.latent.space/p/2025-papers