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AI drastically reduces the cost of generating representations like business plans and code, shifting the organizational bottleneck from creation to validation and judgment in real-world contexts.
The article explores how AI's advancing capabilities may make human skills like judgment and connection more valuable than intelligence itself, questioning if they are the new competitive advantages.
The tweet argues that while AI agents excel at recalling past interactions, they struggle to determine what is important to users due to the absence of explicit signals, highlighting a key limitation in personal AI development.
The article explores the importance of AI agents knowing when not to act, suggesting that better judgment about autonomy may be key to their future utility.
Addy Osmani reflects on the role of taste and judgment in an AI-driven world, arguing that while AI can acquire taste, human judgment—rooted in accountability and ownership—remains irreplaceable.
The author argues that AI conversations should focus less on better models and more on using AI to develop human expertise, judgment, and critical thinking, reshaping AI literacy to help people grow beyond mere prompt usage.
Adam Mosseri reveals that engineering hiring has shifted from coding proficiency to judgment, with Instagram no longer requiring a full technical loop. He admits being a mediocre engineer, underscoring an industry change where tool judgment matters more than technical depth.
The article discusses how companies like Ford and Klarna have laid off employees in favor of AI, only to quietly rehire many of them, arguing that AI is not a substitute for human judgment and context, and that founders should instead empower their best people with AI.
Practical tips for using AI coding tools like Fable and Opus: let them apply their own judgement instead of dictating behavior, and delegate smaller tasks to lower-power models via subagents to save tokens and improve efficiency.
The article discusses how AI automation will make most high-income skills obsolete. It proposes four core skills needed in the future: initiative, taste and unique perspective, judgment, and deep generalism. It emphasizes that humans need to actively adapt to become 'sovereign individuals'.
This article argues that a firm's true judgment is not found in archived documents but in the edits (diffs) made by senior employees before work is finalized, and that AI should learn from these differences to capture institutional knowledge.
Hiten Shah reflects on how AI is transforming GitHub from a repository of evidence into an environment where non-coders can apply product judgment directly to software workflows, bridging the gap between customer understanding and code.
Kent C. Dodds shares advice from Grady Booch on reading source code outside your tech stack (e.g., MacPaint, Linux, MediaWiki) to build unique judgment through cross-domain curiosity.
The article contrasts two types of AI users: one who uses AI to complete tasks without understanding the output, leading to a capped income ceiling, and another who takes time to learn from AI's explanations, building judgment that compounds over time and allows for higher rates and referrals.
The article argues that AI agents need better judgment about when to refrain from acting, especially in contexts with incomplete data or irreversible outcomes, and that controlled autonomy is more trustworthy for companies.