top of page

Blog
Search


When Trust Breaks, What's Left?
In early October 2026, a company launched a video avatar that talks to you in real time. According to its developers, in a one-minute trial, 26 out of 54 participants (48%) thought they were talking to a person. One important detail: the participants hadn't been warned that they might be facing AI. These are results the developers published, not an independent test. Everyone will write about that news. I want to talk about something else. Not what the machine has learned. Wha

Martin H. Sabag
4 days ago4 min read


We're done with the Turing test. Who will pass the coffee test?
In 1950, Alan Turing asked a seemingly simple question: can a machine hold a conversation so that we can't tell whether we're talking to a person or a machine? For years, that sounded like something a very long way off. After all, a machine doesn't grow up like we do, doesn't feel embarrassed like we do, and doesn't live our lives. How could it talk like us? Today, that question sounds very dated. You can talk to a language model, ask it to write, argue with it, and sometimes
Martin H. Sabag
Oct 45 min read


Exponential Adoption and Intentional Friction
While most of the business conversation around artificial intelligence remains stuck in tactical questions of "which tool does what" and how to shave off a few minutes a day, the real leadership challenge lies somewhere entirely different.I recently had the privilege of speaking before the Technology and Innovation Division at the Delek Group. I opened the keynote not with technology, but with my personal story: about a 7-year-old kid facing ostracism and bullying in school h
Martin H. Sabag
Sep 303 min read


What's Left of Learning When the Answer Arrives Instantly?
Picture a student sitting in front of a hard exercise. He tries for five minutes, gets stuck, opens ChatGPT or another chat window, and gets an excellent solution. The exercise is submitted. He can even explain to himself, more or less, why that solution works. But tomorrow, when he has to start from zero without ChatGPT, will he really know? This isn't a question against AI. I use it - yes, including to write this article - and I'm even quite the alarmist when it comes to th
Martin H. Sabag
Sep 286 min read


The Child Who Learned to Lie
Let's start with the most classic and most banal example in the world of AI safety: the paperclip maximizer. Someone gave a system one simple goal - produce as many paperclips as possible. And the system, too smart and too efficient, executes the goal "too well": it turns everything it finds into paperclips, including things that mattered to us a great deal. Not because it is evil. Because nobody managed to formulate exactly what matters. This problem is called Alignment, and
Martin H. Sabag
Sep 257 min read


"Did you do this?": The Question That Teaches Lying Instead of Ownership
The sound of a vase shattering in the living room. The initial parental instinct is almost automatic, driven by shock and an urge to find out what happened, firing off the question: "Did you do this?" On the surface, it’s an innocent fact-finding inquiry. In reality, it’s a psychological trap. This question immediately puts a child into danger and defense mode. It teaches them nothing about the action itself; instead, it forces a choice between two survival mechanisms: confes
Martin H. Sabag
Sep 72 min read
bottom of page
