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I’ve been noticing a weird shift lately, especially with AI tools like ChatGPT becoming more common — and I’m calling it GPT-Robotica. It’s when people use AI to write things that absolutely do not need AI, and it ends up

Outdated coding practices and memory-unsafe languages like C are putting software, including cryptographic libraries, at risk. Fortunately, memory-safe languages like Rust, along with formal verification tools, are now mature enough to be used at scale, helping prevent issues like crashes,

https://en.wikipedia.org/wiki/ELIZA_effect “More generally, the ELIZA effect describes any situation where, based solely on a system’s output, users perceive computer systems as having ‘intrinsic qualities and abilities which the software controlling the (output) cannot possibly achieve,’ or assume that outputs reflect

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I saw so many examples of “I dropped this into whatever LMM and omg” but I never saw any real examples of actually printed objects. If you have done so, do you plan on learning yourself to understand what AI

I keep seeing discussions around black-box model and how it’s a big problem that we don’t always know how these models arrive at their conclusions. Like, sure in fields like medicine, finance, or law, I get why explainability matters. But

Even without understanding anything about technology: the future of AI is not technical, it is educational.* 📍 Quick introduction We are experiencing the height of the Artificial Intelligence hype. AI in headlines. AI in videos. AI everywhere. But this excess

After 2 years I’ve finally cracked the code on avoiding these infinite loops. Here’s what actually works: 1. The 3-Strike Rule (aka “Stop Digging, You Idiot”) If AI fails to fix something after 3 attempts, STOP. Just stop. I learned

If not, then what do I need to look into and learn in order to become very good at AI video generation? I had in mind doing advertisements for food or restuarants and I even recently came across an AI