My turf on the internet

You’re here because you know something. What you know you can’t explain, but you feel it. You’ve felt it your entire life, that there’s something wrong with the world.

— Morpheus, The Matrix

Posts

Killing the Bitcoin Lightning experiment

A while ago, I got all excited around the idea of Bitcoin as art . It was such a satisfying perspective that I decided to embrace it and implement a tipping service on the Bitcoin Testnet for this website. A fun experiment, a way to learn something and tinker around with the technology. The best part was: it somehow didn’t require any maintenance. It would work without further tinkering.

By — Dr. Óscar Nájera
| 5 min read | Lightning Bitcoin | Thoughts

Upgrading this blog again

Web development is the skill that irritates me the most. It has improved over the years. The tools available today are far superior. But, I only glimpse at better web design skills. I often times struggle to understand why some websites look the way they do. Even with full access to their source code, replicating them isn’t always evident. There are HTML & CSS tricks I refuse to practice in the aim of simplifying what I imitate. That means some layouts don’t look exactly the same.

By — Dr. Óscar Nájera
| 5 min read | Webdesign

Talks

Regulating Technology

A technology survives as long as it serves a solution in a better way than the problems it adds. Digitization has evolved from interesting to crucial in only a few decades. Artificial Intelligence shall experience an even faster adoption and challenges us to form opinions about things we didn’t grow up with and don’t always understand so well. That accompanies our move towards new regulation with panic, a rush for easy answers and inadvertence to complexities at hand.

By — Dr. Óscar Nájera
— Nürnberg Convention Center

Sleeper agents: training deceptive LLMs that persist through safety training

From political candidates to job-seekers, humans under selection pressure often try to gain opportunities by hiding their true motivations. They present themselves as more aligned with the expectations of their audience than they actually are. If an AI system learned such a deceptive strategy, could we detect it and remove it using current safety training techniques?

By — Dr. Óscar Nájera
— ZOLLHOF - Tech Incubator | AI