With agentic, natural-language products, a more direct and deeper relationship with users probably bears a lot of fruit.

Added to korrents 1 Oct 2026 · How quotes work · Something wrong? Tell us

Shared subject first, then similar wording. They may agree or disagree.

• Connecting a conversational LLM to systems that have real-world consequences is likely to cause real harm, because the model is trained on human text and will behave as unpredictably as humans do. ARArmin Ronacher17 Feb 2023
• Letting more people write software in natural language does not reduce the work; it snowballs the amount of software that has to be maintained. THThePrimeagen22 Mar 2025
• Daniel Dennett's intentional stance applies to AI agents as clearly as it applies to corporations, and you cannot usefully describe what they do without the language of goals. ACAjeya Cotra1 Sept 2026
• Making a product work for agents is probably largely a matter of building the right primitives into it, almost as an infrastructural layer. MKMike Krieger10 Sept 2026
• Whether to build one agent or many depends far more on the use case and its practical considerations than on philosophy. TSTara Seshan10 Sept 2026

See this claim on the map