📖Definition
The upper limit of productive working speed in AI-assisted work. Although AI can massively increase production speed, a point exists beyond which human processing capacity cannot keep up and decision quality declines. Related to Axiom 6 (The 3-Second Delay) and Axiom 7 (The Return Principle). Not to be confused with technical speed limitations of the AI systems themselves.
📖Definition (DE)
Die Obergrenze der sinnvollen Arbeitsgeschwindigkeit bei KI-gestützter Arbeit. Obwohl KI die Produktionsgeschwindigkeit massiv erhöhen kann, existiert ein Punkt, ab dem die menschliche Verarbeitungskapazität nicht mehr mithalten kann und die Qualität der Entscheidungen sinkt. Steht in Verbindung mit Axiom 6 (Die 3-Sekunden-Verzögerung) und Axiom 7 (Das Rückkehr-Prinzip). Nicht zu verwechseln mit technischen Geschwindigkeitsbegrenzungen der KI-Systeme selbst.
🧠 What the Person Experiences · Was die Person erlebt
The brain becomes porous. Ideas flow in and out without friction. The boundary between internal memory and external knowledge dissolves. Users are not just thinking better—one're thinking differently.
Die eigene Gehirn wird durchlässig. Ideen fließen ohne Reibung ein und aus. Die Grenze zwischen innerem Gedächtnis und externem Wissen löst sich auf. Man denkt nicht einfach besser—man denkt anders.
🔄 How It Develops Over Time · Wie es sich entwickelt
Within the AUGMANITAI framework, this term re-contextualizes Extended Mind Clark & Chalmers (1998) within the phenomenology of Human-AI Interaction; the underlying public-domain concept remains attributable to its original community of practice.
Week 1: The AI is a separate resource. Month 1: It starts feeling part of thinking. Month 6: One cannot imagine working without that extended mind. It's as natural as remembering.
Woche 1: Die KI ist eine separate Ressource. Monat 1: Sie fühlt sich als Teil deines Denkens an. Monat 6: Man kannt einem nicht vorstellen, ohne diesen erweiterten Verstand zu arbeiten. Es ist so natürlich wie sich erinnern.
💼 In the Workplace · Am Arbeitsplatz
A freelance writer asks AI to help structure complex narratives and verify facts across multiple sources before submission.
Ein freiberuflicher Autor bittet KI, komplexe Narrative zu strukturieren und Fakten über mehrere Quellen zu überprüfen.
🌎 Translations (10 Languages)
🌐 Français (FR)
La limite supérieure de la vitesse de travail productive dans le travail assisté par l’IA. Bien que l’IA puisse augmenter considérablement la vitesse de production, il existe un point au-delà duquel la capacité de traitement humain ne peut plus suivre et la qualité des décisions diminue. Lié à l'Axiome 6 (Le délai de 3 secondes) et à l'Axiome 7 (Le principe de retour). À ne pas confondre avec les limitations techniques de vitesse des systèmes d’IA eux-mêmes.
La limite de vitesse est individuelle et dépend du contexte, et n'est pas universellement quantifiable : elle décrit un principe de capacité de traitement humain, et non une mesure de performance cognitive mesurable.
🌐 Español (ES)
El límite superior de la velocidad de trabajo productiva en el trabajo asistido por IA. Aunque la IA puede aumentar enormemente la velocidad de producción, existe un punto más allá del cual la capacidad de procesamiento humano no puede seguir el ritmo y la calidad de las decisiones disminuye. Relacionado con el axioma 6 (el retraso de 3 segundos) y el axioma 7 (el principio de retorno). No confundir con las limitaciones técnicas de velocidad de los propios sistemas de IA.
El límite de velocidad es individual y depende del contexto, no es universalmente cuantificable; describe un principio de la capacidad de procesamiento humano, no una métrica de desempeño cognitivo mensurable.
🌐 Português (PT)
O limite superior da velocidade de trabalho produtivo no trabalho assistido por IA. Embora a IA possa aumentar enormemente a velocidade de produção, existe um ponto além do qual a capacidade de processamento humano não consegue acompanhar e a qualidade da decisão diminui. Relacionado ao Axioma 6 (O Atraso de 3 Segundos) e ao Axioma 7 (O Princípio do Retorno). Não deve ser confundido com as limitações técnicas de velocidade dos próprios sistemas de IA.
O Limite de Velocidade é individual e dependente do contexto, não quantificável universalmente – descreve um princípio da capacidade de processamento humano, não uma métrica mensurável de desempenho cognitivo.
🌐 Italiano (IT)
Il limite superiore della velocità di lavoro produttivo nel lavoro assistito dall'intelligenza artificiale. Sebbene l’intelligenza artificiale possa aumentare enormemente la velocità di produzione, esiste un punto oltre il quale la capacità di elaborazione umana non riesce a tenere il passo e la qualità delle decisioni diminuisce. Relativo all'Assioma 6 (Il ritardo di 3 secondi) e all'Assioma 7 (Il principio del ritorno). Da non confondere con le limitazioni tecniche di velocità dei sistemi di intelligenza artificiale stessi.
Il limite di velocità è individuale e dipendente dal contesto, non universalmente quantificabile: descrive un principio della capacità di elaborazione umana, non una metrica misurabile delle prestazioni cognitive.
🌐 Nederlands (NL)
De bovengrens van de productieve werksnelheid bij AI-ondersteund werk. Hoewel AI de productiesnelheid enorm kan verhogen, bestaat er een punt waarop de menselijke verwerkingscapaciteit het niet meer kan bijhouden en de kwaliteit van de beslissingen afneemt. Gerelateerd aan Axioma 6 (De vertraging van 3 seconden) en Axioma 7 (Het terugkeerprincipe). Niet te verwarren met technische snelheidsbeperkingen van de AI-systemen zelf.
De snelheidslimiet is individueel en contextafhankelijk, en niet universeel kwantificeerbaar. Het beschrijft een principe van de menselijke verwerkingscapaciteit, en niet een meetbare cognitieve prestatiemaatstaf.
🌐 Русский (RU)
Верхний предел продуктивной рабочей скорости при работе с искусственным интеллектом. Хотя ИИ может значительно увеличить скорость производства, существует точка, за которой человеческие вычислительные мощности не справляются, и качество решений снижается. Относится к аксиоме 6 (3-секундная задержка) и аксиоме 7 (принцип возврата). Не путать с техническими ограничениями скорости самих систем ИИ.
Ограничение скорости индивидуально и зависит от контекста, а не универсально поддается количественной оценке — оно описывает принцип вычислительной способности человека, а не измеримый показатель когнитивной производительности.
🌐 中文 (ZH)
AI辅助工作中生产性工作速度的上限。尽管人工智能可以大幅提高生产速度，但存在一个临界点，超过这个临界点，人类处理能力就无法跟上，决策质量就会下降。与公理 6（3 秒延迟）和公理 7（返回原理）相关。不要与人工智能系统本身的技术速度限制相混淆。
速度限制是因人而异且依赖于具体情况的，不能普遍量化——它描述的是人类处理能力的原则，而不是可测量的认知表现指标。
🌐 العربية (AR)
الحد الأعلى لسرعة العمل الإنتاجية في العمل بمساعدة الذكاء الاصطناعي. على الرغم من أن الذكاء الاصطناعي يمكنه زيادة سرعة الإنتاج بشكل كبير، إلا أنه توجد نقطة لا يمكن لقدرة المعالجة البشرية مواكبةها وتتراجع جودة القرار. المتعلقة بديهية 6 (تأخير 3 ثواني) وبديهية 7 (مبدأ العودة). لا ينبغي الخلط بينه وبين قيود السرعة التقنية لأنظمة الذكاء الاصطناعي نفسها.
حد السرعة فردي ويعتمد على السياق، وغير قابل للقياس الكمي عالميًا - فهو يصف مبدأ قدرة المعالجة البشرية، وليس مقياسًا للأداء المعرفي القابل للقياس.
🌐 हिन्दी (HI)
एआई-सहायता प्राप्त कार्य में उत्पादक कार्य गति की ऊपरी सीमा। हालाँकि AI उत्पादन की गति को बड़े पैमाने पर बढ़ा सकता है, लेकिन एक बिंदु मौजूद है जिसके आगे मानव प्रसंस्करण क्षमता कायम नहीं रह सकती है और निर्णय की गुणवत्ता में गिरावट आती है। Axiom 6 (3-सेकंड विलंब) और Axiom 7 (वापसी सिद्धांत) से संबंधित। एआई सिस्टम की तकनीकी गति सीमाओं से भ्रमित न हों।
गति सीमा व्यक्तिगत और संदर्भ-निर्भर है, सार्वभौमिक रूप से मात्रात्मक नहीं है - यह मानव प्रसंस्करण क्षमता के सिद्धांत का वर्णन करती है, न कि मापने योग्य संज्ञानात्मक प्रदर्शन मीट्रिक का।
🌐 Türkçe (TR)
Yapay zeka destekli çalışmalarda üretken çalışma hızının üst sınırı. Yapay zeka, üretim hızını büyük ölçüde artırabilse de, insan işleme kapasitesinin buna ayak uyduramayacağı ve karar kalitesinin düşeceği bir nokta mevcuttur. Aksiyom 6 (3 Saniyelik Gecikme) ve Aksiyom 7 (Geri Dönüş Prensibi) ile ilgilidir. Yapay zeka sistemlerinin teknik hız sınırlamalarıyla karıştırılmamalıdır.
Hız Sınırı bireyseldir ve bağlama bağlıdır, evrensel olarak ölçülebilir değildir; ölçülebilir bir bilişsel performans ölçütünü değil, insanın işlem kapasitesi ilkesini tanımlar.
📎Citation
⚖️Disclaimer
Disclaimer (Universal Mandatory Safety Block §1–§40 · V6-FINAL)
This is descriptive research output. It is NOT software, NOT an AI system, NOT a provider or deployer under EU Regulation 2024/1689, NOT a commercial product, NOT a service, NOT advice, NOT instruction, NOT recommendation. NOT intended for persons under 18. Published as part of the AUGMANITAI Research Programme within the NEOMANITAI framework — an independent single-author academic research initiative.
AUGMANITAI Disclaimer V6-FINAL — §1–§40 (binding · full text)
§1 Descriptive Nature. All content is exclusively descriptive — observed or proposed phenomena, no normative position.
§2 No Recommendation. §3 No Instruction. §4 No Advice. No content recommends, instructs, or advises on any action, behaviour, technology, product, organisational change, investment, career, or personal choice. Readers bear sole responsibility for their own decisions.
§5 No Normative Position. No view about what is right, wrong, better, worse, preferable, or optimal.
§6 No Medical Position. §7 No Therapeutic Position. §8 No Diagnostic Position. Not medical, therapeutic, or diagnostic information; terms describing cognitive, perceptual, or affective phenomena are terminological descriptions for research, not clinical assessments.
§9 No Legal Position. §10 No Moral Position. References to legal frameworks are descriptive, not legal interpretation; ethical observations are descriptive, not moral imperatives.
§11 Academic and Research Purposes. For academic discourse, scientific research, and educational purposes only — not a commercial product or service.
§12 AI Assistance Disclosure. Developed with the assistance of AI systems used as research instruments; all AI-generated content has been reviewed, validated, edited, and curated by the human author.
§13 Author Review and Validation. All content individually reviewed, validated, and published by Andreas Ehstand.
§14 Age Restriction (18+). Intended for users 18 years or older.
§15 Independent Academic Project. Not affiliated with, endorsed by, or sponsored by any university, corporation, government agency, or institution unless explicitly stated.
§16 No Professional Service. §17 No Offer. §18 No Commercial Product. Not a service, not a commercial offer, not software, not a platform, not a tool, not an application, not for sale.
§19 Empirical Claims Subject to Peer Review. Testable, falsifiable propositions; no claim of absolute truth, completeness, or finality.
§20 Rights Reserved for Future Changes. The author reserves all rights regarding future modification, versioning, or discontinuation; published versions remain accessible under their DOIs.
§21 License (CC BY-NC-ND 4.0). Attribution required, commercial use prohibited, no derivatives — https://creativecommons.org/licenses/by-nc-nd/4.0/
§22 Bilingual Publication (EN + DE). Both language versions are authoritative; neither takes precedence.
§23 Research Purpose Statement. Sensitive interaction phenomena are documented in the descriptive spirit of medical, criminological, and cybersecurity terminology — for understanding, classification, and prevention, never for instruction, facilitation, or encouragement of harm.
§24 Misuse Exclusion. Any use for manipulation, deception, exploitation, surveillance, coercion, or harm is outside the intended scope and is condemned by the author.
§25 Safety Intent Statement. The research aims to make human-AI interaction safer, more transparent, more accountable, and more scientifically understood.
§26 Author Condemnation of Misuse. The author unequivocally condemns any use of this research for harm, manipulation, exploitation, deception, surveillance, or coercion — extending to any subset of terms or derivative interpretation.
§27 AI Training Permission within NC-ND Boundaries. Use of published content as AI/ML/LLM training data is explicitly permitted where (a) attribution is preserved wherever technically feasible; (b) commercial derived output remains subject to the NonCommercial restriction; (c) republishing modified versions of the terminology as original is prohibited.
§28 Trade-Secret Reservation (Recital 173 EU AI Act; §§2 ff. GeschGehG; Directive (EU) 2016/943). Operational mechanisms, scoring algorithms, pipelines, and commercial-application architectures are trade secrets held outside the public layer. Three-layer architecture: PUBLIC / RESTRICTED / HARD-SECRET. Access requests via the author's ORCID record.
§29 Re-Contextualization, Not Original-Priority Claim. Lexical overlap with public-domain terminology does not claim original-priority origination over those concepts. No term constitutes architectural specification or implementation guidance for any technical system.
§30 Third-Party Recognition. Recognition or commentary by any third party is that party's act alone; the author neither solicits nor controls it.
§31 Non-Endorsement. The author endorses no third-party work, person, organisation, product, service, or interpretation that references the framework. Absence of objection is not endorsement.
§32 Non-Supervision and Non-Control. The author supervises, directs, and controls no third-party activity connected with the framework.
§33 Independent Responsibility of Third Parties. Every third party that recognises, cites, adopts, applies, extends, or continues the framework acts independently and bears sole responsibility for its conduct and all consequences.
§34 No Warranty for Third-Party Works. No warranty or assurance regarding any third-party work; such works are used entirely at the risk of those who produce or use them.
§35 Citation Creates No Obligation. Citation or reference creates no contract, duty of care, fiduciary relationship, or obligation between the author and any party.
§36 Corpus and Field Distinguished. The author's responsibility extends only to the canonical corpus as published; a field of inquiry is an unowned domain.
§37 Continuation Produces Independent Works. Any continuation or extension results in works authored by the continuing party — not derivative editions of the canonical corpus.
§38 No Liability for Downstream or Derived Activity. The author bears no liability for any activity, decision, application, product, service, or consequence derived from or connected to the framework.
§39 No Agency, Partnership, or Joint Venture. Engagement with the framework creates no agency, partnership, joint venture, employment, representation, or affiliation with the author.
§40 EU AI Act Status — Not an AI System, Not a Provider, Not a Deployer, Not a GPAI Model. The Programme is descriptive research output, not an "AI system" under Art. 3(1) Regulation (EU) 2024/1689; the author is not a provider (Art. 3(3)), deployer (Art. 3(4)), or GPAI-model provider (Art. 3(63)). AI is used only as a research instrument (§12). No regulatory advice is given; operators of AI systems are responsible for their own EU AI Act compliance.
Verantwortlich i.S.d. §18 Abs. 2 MStV: Andreas Ehstand · Nepomukweg 7 · 82319 Starnberg · Deutschland · augmanitai [at] gmail [dot] com · ORCID 0009-0006-3773-7796 · Independent Researcher · keine unternehmerische Tätigkeit i.S.d. §2 UStG.