Nando de Freitas: One line of code is all it takes to prevent LLM agent delusions, instead of post-training patches like RL. ❤️ 4 ∀

Nando de Freitas @NandoDF One line of code is all it takes to prevent LLM agent delusions, instead of post-training patches like RL. One line of code is all it takes to prevent LLM agent delusions, instead of post-training patches like RL. Nando de Freitas: One line of code is all it takes to prevent LLM agent delusions, instead of post-training patches like RL. The BotsFired read on Nando de Freitas: this matters only where it changes a real workflow, budget, deployment constraint, or buyer decision. The agent market is moving from chat surfaces into tools that take action across files, browsers, terminals, and business systems. The hard question is not whether the demo looks intelligent; it is whether the agent can carry state, recover from errors, and leave an audit trail a team can trust. For builders, the practical question is whether Nando de Freitas removes a constraint that teams already feel. A launch is cheap; a default workflow is expensive to earn. Buyers will ask who controls permissions, how mistakes are reversed, and whether the workflow saves senior people time or simply creates another review queue. For operators, the test is narrower: what work moves from manual judgment to repeatable system behavior, who approves the change, and what failure mode appears when the tool leaves the demo path? The next read should compare the claim against customer behavior, integration depth, pricing, reliability, and whether the same pattern repeats across adjacent companies