Practical AI · Thursday, July 9, 2026
Hamza Tahir points out that large language models are primarily designed for text processing, not direct real-world interaction. He notes that agents act as a bridge, but this requires significant scaffolding to handle issues like the LLM making incorrect tool calls or responding in unexpected formats, highlighting the need for robustness and error handling.
“And, uh, you know, the, the robustness of the tool itself. And, and, uh, you know, if you're thinking about these, these models, they're not really, uh, they're not really designed to, uh, interact with the real world. They're designed to, to, to process text.”
“So, uh, and, and, and, you know, when you're thinking about, uh, agents, it's like you're trying to, uh, take this model that's really good at processing text and make it, uh, make it, uh, do something in the real world.”