Linkedin Prof. Lior Zalmanson Moltbook is getting attention because it’s so cool to think about it and to observe. It looks and acts as a gladiator arena, a living lab in the form of a social network for AI agents: posts, threads, upvotes, “communities,” with humans supposedly in the bylines, mostly watching. It’s tempting to read this as agents developing a social life. But the behavior isn’t mysterious emergence. Put a language model inside a feed-and-upvotes format and it

Linkedin Prof. Lior Zalmanson This week, the World Economic Forum’s annual meeting took place in Davos, gathering leaders, regulators, and corporate executives to create a shared language on the economy, politics, and technology. This year, artificial intelligence wasn’t “just another topic.” It was the topic: the lens through which people there talked about power, infrastructure, and competition. The refrain was that the world is starting to internalize the political implica

The article argues that Israel has the potential to rank among the world’s top three artificial intelligence nations, but only if it moves beyond being primarily an R&D hub to producing and scaling major AI products, platforms, and infrastructure locally. Experts emphasize that Israel needs a national compute backbone, expanded advanced engineering talent, and stronger industry-wide coordination to retain companies’ headquarters and leadership domestically. Recent commitments

This article explores the rise of algorithmic management , where automated systems replace traditional human supervisors in assigning tasks, monitoring performance, and providing feedback. Drawing from real-world experiences and research insights from AIMLAB at Tel Aviv University , the piece examines both the advantages —such as consistent evaluation and large-scale data processing—and the challenges , including reduced transparency, limited human context, and ethical concer

Lately we've seen more public attention given to the effects of the latest GenAI models on the startup economy. A fascinating New York Times article shows how AI is redefining the startup playbook. Gone are the days of raising massive funds and hiring at lightning speed. Instead, AI-driven companies are operating with lean teams and achieving remarkable efficiency. Three remarkable examples: Gamma reached tens of millions in annual recurring revenue with just 28 employees an