Large-Language-Models

World Models Are Coming for LLMs — And the AI Community Is Paying Attention TL;DR A Reddit thread in r/artificial is generating serious buzz, with 829 upvotes and 375 comments rallying around a bold claim: world models are poised to replace large language models (LLMs) as the dominant AI paradigm. The post argues that LLMs, for all their success, are fundamentally limited — they predict text, but they don’t understand the world. World models, by contrast, build internal simulations of reality. The community discussion is heated, nuanced, and worth paying attention to — because when 375 people on one of Reddit’s most active AI forums argue about something this hard, it usually means the idea has real traction. ...

Why LLMs Forget Your Instructions — And Why It Looks Exactly Like ADHD TL;DR A Reddit discussion in r/artificial is getting traction around a fascinating parallel: large language models forget instructions the same way ADHD brains do, and there’s actual research explaining why. The “Lost in the Middle” problem — where AI assistants like Claude drop earlier instructions during long sessions — isn’t a random glitch, it’s a structural feature of how these models process information. Understanding the neuroscience and ML research behind this could change how you prompt, how you build, and how you think about AI reliability. Tools like Agently are already trying to solve this at the enterprise level. ...