Gov/en/Portal:R&D/Innovations:AI Supported Deployment: Difference between revisions
New page: AI-Supported Deployment (five work archetypes + open calls, initial hypothesis for R&D methodology, per Theo audio 2026-07-12) |
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{{KidsIntro|When people build | {{KidsIntro|When people build with AI's help, job titles matter less than talents. A researcher describes five: inventing ideas, building them, simplifying, helping products grow, and keeping them running. WikiDeal would test this with a team.}} | ||
{{ExpertIntro|Methodology page, proposed as an initial hypothesis. Boris Cherny (Anthropic | {{ExpertIntro|Methodology page, proposed as an initial hypothesis. Boris Cherny (Anthropic) describes five work archetypes emerging as AI blurs product roles: Prototyper, Builder, Sweeper, Grower, Maintainer. WikiDeal's R&D intends to adopt this framework, to be tested during Prototype 1: open calls would invite people matching these profiles to move from idea to prototype to deployment.}} | ||
{{ArticleSummary| | |||
* [[#context|Context: when AI blurs job titles]] | |||
* [[#the-five-profiles|The five profiles]] | |||
* [[#methodology|The methodology: five profiles plus open calls]] | |||
* [[#roles-and-credits|Roles and credits]] | |||
* [[#sources|Sources and references]] | |||
* [[#state-of-the-art|State of the art]] | |||
* [[#see-also|See also]] | |||
}} | |||
__NOTOC__ | |||
= AI | = AI supported deployment = | ||
''Status: under construction. This page presents an initial hypothesis, proposed as a basis for discussion, to be tested during Prototype 1.'' | ''Status: under construction. This page presents an initial hypothesis, proposed as a basis for discussion, to be tested during Prototype 1.'' | ||
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The framework also has an older lineage. One published analysis traces it back to [https://en.wikipedia.org/wiki/Robert_X._Cringely Robert X. Cringely]'s 1992 split of tech companies into "Commandos, Infantry and Police", to Simon Wardley's "Pioneers, Settlers and Town Planners" (of [https://en.wikipedia.org/wiki/Wardley_map Wardley map] fame), and to [https://en.wikipedia.org/wiki/Peter_Thiel Peter Thiel]'s "zero to one" versus "one to n" distinction ([https://en.wikipedia.org/wiki/Zero_to_One Zero to One]). According to that analysis, the novelty would not be the five boxes themselves, but the fact that the lifecycle phase becomes the primary axis for describing roles, instead of a secondary one. | The framework also has an older lineage. One published analysis traces it back to [https://en.wikipedia.org/wiki/Robert_X._Cringely Robert X. Cringely]'s 1992 split of tech companies into "Commandos, Infantry and Police", to Simon Wardley's "Pioneers, Settlers and Town Planners" (of [https://en.wikipedia.org/wiki/Wardley_map Wardley map] fame), and to [https://en.wikipedia.org/wiki/Peter_Thiel Peter Thiel]'s "zero to one" versus "one to n" distinction ([https://en.wikipedia.org/wiki/Zero_to_One Zero to One]). According to that analysis, the novelty would not be the five boxes themselves, but the fact that the lifecycle phase becomes the primary axis for describing roles, instead of a secondary one. | ||
<span id="scientific-context"></span> | |||
=== What recent studies say about AI acceleration === | |||
Recent empirical studies give a nuanced picture of how much AI actually accelerates a project. A controlled experiment with GitHub Copilot found that developers assisted by an AI pair programmer completed a coding task 55.8 percent faster than a control group (Peng et al., 2023). By contrast, a 2025 randomized controlled trial by the research organization METR, with 16 experienced open-source developers working on mature projects they knew well, found that allowing early-2025 AI tools ''increased'' completion time by 19 percent, against the developers' own expectations. Anthropic's 2026 analysis of about 400,000 Claude Code sessions observed that people make most of the planning decisions (what to do) while the AI makes most of the execution decisions (how to do it), and that on coding tasks people from non-engineering occupations succeed at nearly the same rate as software engineers. | |||
Read together, these studies suggest that AI support can strongly boost a project but does not do so automatically: how the human roles are organized around the AI appears to matter. This is one of the reasons why WikiDeal intends to test an explicit organization of roles, described below, rather than assuming that AI alone would accelerate the work. | |||
<span id="the-five-profiles"></span> | <span id="the-five-profiles"></span> | ||
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Concretely: | Concretely: | ||
* the [[Gov/en/Portal:R&D/Open- | * the [[Gov/en/Portal:R&D/Open-Calls:Main|open calls]] would include calls toward these five figures; there is a real intention to try to fill these roles, at least in the form of a pilot experiment; | ||
* the way the pilot experiments are intended to work is to invite these figures to participate in the definition, the accompaniment and the implementation of the open calls and of the results that follow from them; | * the way the pilot experiments are intended to work is to invite these figures to participate in the definition, the accompaniment and the implementation of the open calls and of the results that follow from them; | ||
* the methodology of the open calls, combined with the five figures, is the envisaged lever to move from the idea to the prototype and to deployment: in short, to scale. | * the methodology of the open calls, combined with the five figures, is the envisaged lever to move from the idea to the prototype and to deployment: in short, to scale. | ||
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* for the startup phase, Theo Bondolfi plays the role of bringing the ideas and producing a large volume of content, which corresponds to the Prototyper archetype; | * for the startup phase, Theo Bondolfi plays the role of bringing the ideas and producing a large volume of content, which corresponds to the Prototyper archetype; | ||
* he imagined and brought a vision, and tried to give it shape through concrete elements: notably the notion of needs balance, and the association of all the concepts (such as the [[Gov/en/Portal:Economy/Bonding-Curve|bonding curve]]) into an overall recipe; | |||
* he formulates initial hypotheses that create this overall recipe: hypotheses concerning the operating agreements of the project; | |||
* the other figures and roles are intended to be progressively aggregated into the operational team, notably through the open calls described above. | * the other figures and roles are intended to be progressively aggregated into the operational team, notably through the open calls described above. | ||
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<span id="sources"></span> | <span id="sources"></span> | ||
== Sources == | == Sources and references == | ||
Framework sources: | |||
* Boris Cherny, original post on X: https://x.com/bcherny/status/2071379474277613732 (also on Threads: https://www.threads.com/@boris_cherny/post/DaJgVFVj2PB/) | * Boris Cherny, original post on X: https://x.com/bcherny/status/2071379474277613732 (also on Threads: https://www.threads.com/@boris_cherny/post/DaJgVFVj2PB/) | ||
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* Analysis of the strengths and traps of each archetype: "Five Archetypes of Workers in the AI Age", braindetox.kr: https://braindetox.kr/en/posts/claude_code_work_archetypes_2026.html | * Analysis of the strengths and traps of each archetype: "Five Archetypes of Workers in the AI Age", braindetox.kr: https://braindetox.kr/en/posts/claude_code_work_archetypes_2026.html | ||
Scientific references on AI-supported acceleration: | |||
* Peng et al. (2023), "The Impact of AI on Developer Productivity: Evidence from GitHub Copilot", controlled experiment, arXiv:2302.06590: https://arxiv.org/abs/2302.06590 | |||
* METR (2025), "Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity", randomized controlled trial, arXiv:2507.09089: https://arxiv.org/abs/2507.09089 (summary: https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/) | |||
* Anthropic (2026), "How Claude Code is used in practice", privacy-preserving analysis of about 400,000 agentic coding sessions: https://www.anthropic.com/research/claude-code-expertise | |||
* Anthropic Economic Index, ongoing research initiative on the effects of AI on work and the economy: https://www.anthropic.com/research/the-anthropic-economic-index | |||
<span id="state-of-the-art"></span> | |||
== State of the art == | |||
Combining human work profiles with AI assistance is the subject of a growing research field on human-AI collaboration and the future of work. The works below inform this hypothesis. | |||
* Erik Brynjolfsson and Andrew McAfee (2014), ''The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies'', W. W. Norton: [https://en.wikipedia.org/wiki/The_Second_Machine_Age book page on Wikipedia]. | |||
* David Autor (2015), ''Why Are There Still So Many Jobs? The History and Future of Workplace Automation'', Journal of Economic Perspectives, 29(3): [https://doi.org/10.1257/jep.29.3.3 doi:10.1257/jep.29.3.3] · [https://en.wikipedia.org/wiki/David_Autor author page on Wikipedia]. | |||
* Saleema Amershi et al. (2019), ''Guidelines for Human-AI Interaction'', Proceedings of CHI 2019: [https://doi.org/10.1145/3290605.3300233 doi:10.1145/3290605.3300233]. | |||
* Thomas H. Davenport and Julia Kirby (2016), ''Only Humans Need Apply: Winners and Losers in the Age of Smart Machines'', Harper Business: [https://en.wikipedia.org/wiki/Thomas_H._Davenport author page on Wikipedia]. | |||
* Luciano Floridi et al. (2018), ''AI4People: An Ethical Framework for a Good AI Society'', Minds and Machines, 28: [https://doi.org/10.1007/s11023-018-9482-5 doi:10.1007/s11023-018-9482-5]. | |||
<span id="see-also"></span> | |||
== See also == | == See also == | ||
* [[Gov/en/Portal:R&D/Innovations:Main|All innovations]] | * [[Gov/en/Portal:R&D/Innovations:Main|All innovations]] | ||
* [[Gov/en/Portal:R&D/Innovations:Open Calls|Open Calls (innovation page)]] | * [[Gov/en/Portal:R&D/Innovations:Open Calls|Open Calls (innovation page)]] | ||
* [[Gov/en/Portal:R&D/Open- | * [[Gov/en/Portal:R&D/Open-Calls:Main|Open calls in progress]] | ||
* [[Gov/en/Portal:Meta/Prototype-1-Deliverables|Prototype 1 deliverables]] | * [[Gov/en/Portal:Meta/Prototype-1-Deliverables|Prototype 1 deliverables]] | ||
💡 '''Improve this concept:''' submit a proposal via [[Gov/en/Portal:R&D/Open- | 💡 '''Improve this concept:''' submit a proposal via [[Gov/en/Portal:R&D/Open-Calls:Main|Open Call]] | ||
[[Category:Migration June 2026]] | [[Category:Migration June 2026]] | ||
[[Category:Innovation]] | |||
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