Understand this story
On November 3, 2026, Addy Osmani of the Claude Code team proposed that when using AI Agents, people must retain their own critical thinking and must not hand over the responsibility for the results. He believes that the stronger the model and the more pleasing its output, the easier it is for people to skip thinking it through again, and he divides usage into three levels: cognitive offloading, deferring judgment, and cognitive surrender. He suggests establishing a hypothesis before starting, asking how it could be proven wrong, first looking at what commands and outputs the Agent ran before looking at the summary, and not publishing if it fails to meet the standard for attribution. On November 4, a report added that Osmani, who worked at Google for 14 years and now works on Claude Code-related work at Anthropic, also proposed the concept of an "orchestration tax," referring to the gap between the speed at which AI generates results and the speed at which humans can seriously review and take responsibility for them, and believes that at this point automated verification mechanisms should be improved or the speed of task generation should be reduced.
AI-generated from public reports
Developments
1 confirmed developments
Reports and discussion timeline
Browse reports and discussion by time. Their evidence levels remain distinct.
Nov 4
cnBeta
Anthropic engineer Osmani warns that the stronger AI becomes, the more easily humans fall into cognitive surrender
Osmani, who worked at Google for 14 years and now works on Claude Code-related work at Anthropic, argues that the fewer obvious errors AI output contains, the more easily people skip verification, and he divides the states of human AI use into three layers: cognitive offloading, deferred judgment, and cognitive surrender. He suggests forming one's own preliminary hypothesis before asking AI complex questions, and requiring the Agent to list the decisions, assumptions, and ignored conditions it made autonomously during execution. He also proposes the concept of an orchestration tax, referring to the gap between the speed at which AI generates results and the speed at which humans can seriously review and take responsibility for them, arguing that at this point automated verification mechanisms should be improved or the task generation speed should be reduced.
cnBetaRelated discussion
cnBeta joined this discussion
This post contributes to heat; it is not a formal report or confirmed fact.
Phoenix Technology
Anthropic Engineer Warns: The Stronger AI Gets, the More Easily Humans Fall into "Cognitive Surrender"
Addy Osmani, an engineer on Anthropic's Claude Code team, warned in a long post on X that as AI agents grow more capable, humans may gradually lose the ability to think independently and verify results, a phenomenon he calls "cognitive surrender." He divides how humans use AI into three levels—"cognitive offloading," "deferring judgment," and "cognitive surrender"—and points out that even if AI-generated code passes all tests, that doesn't mean there are no problems; acceptance should rely on verifiable evidence such as test results, run logs, and screenshots.
indigo
Claude Code team's Addy on how to maintain critical thinking when using Agents
indigo relays the views of Claude Code team's Addy Osmani, pointing out that the stronger the model, the easier it is for people to let their guard down in a comfortable state where Agent outputs are mostly good and multiple Agents run at once while there is only one pair of eyes. The article divides this cognitive decline into three steps—offloading, deferring, and surrendering—and proposes placing judgment at both ends of the task: beforehand, clearly write out assumptions, goals, boundaries, and completion criteria; during, have the Agent output intermediate artifacts step by step and verify them; afterward, look at the evidence first and then the summary, and use another model to cross-check execution documents and logs. The final threshold before delivery is whether you can explain the output and are willing to sign your name and take responsibility for it.
Nov 3
Ayi AI Notes
Claude Code Engineer Warns: Over-Reliance on AI Programming Will Weaken Code Review Skills
Anthropic's Claude Code engineer Addy Osmani has proposed the "cognitive surrender" paradox: the more coding tasks engineers hand over to agents, the faster the underlying hard skills they need to supervise those agents atrophy. He points out that AI-generated code is neatly formatted and has all unit tests passing green, making it easy for engineers to regress from reasoning through the architecture line by line to mechanically clicking confirm, and says that shipping something beyond one's own cognitive grasp no longer counts as code review.
VikingRelated discussion
Viking joined this discussion
This post contributes to heat; it is not a formal report or confirmed fact.
Shao Meng
Claude Code team's Addy Osmani on how to retain critical thinking when using Agents
Addy Osmani of the Claude Code team shares his view that the stronger the model and the more polished its output, the easier it is for people to skip thinking it through again, and that critical thinking needs to be actively built into daily habits. He divides usage patterns into three layers: cognitive offloading, deferring judgment, and cognitive surrender, and warns that a green test can make the same mistake as the feature itself. He suggests establishing a hypothesis before starting, asking how it could be proven wrong, looking at what commands and outputs the Agent ran before looking at the summary, and not shipping if it doesn't meet the standard for putting your name on it.
Heat trend for this story
- Current
- 37
- Period peak
- 44 Nov 4 16:00
- 24-hour change
- +106%
Move the pointer or select the chart to inspect hourly heat. Use the left and right arrow keys with a keyboard.