📖Definition
The property of AI-generated information being valid only within a specific time window. What is a correct AI response today may be outdated tomorrow — due to new data, updated models, or changed factual circumstances. Related to AUG-0035 (Epistemic Half-Life) and AUG-0039 (Kinetic Truth Blur).
📖Definition (DE)
Die Eigenschaft von KI-generierten Informationen, nur innerhalb eines bestimmten Zeitfensters gültig zu sein. Was heute eine korrekte KI-Antwort ist, kann morgen veraltet sein — durch neue Daten, aktualisierte Modelle oder veränderte Faktenlagen. Steht in Verbindung mit AUG-0035 (Epistemic Half-Life) und AUG-0039 (Kinetic Truth Blur).
🧠 What the Person Experiences · Was die Person erlebt
It becomes noticeable when working with AUG-0036. The moment when the concept shifts from abstract to tangible, from intellectual to embodied in daily workflow.
Es wird merkbar, wenn man mit AUG-0036 arbeitest. Der Moment, wenn sich das Konzept vom Abstrakten zum Greifbaren verschiebt, vom Intellektuellen zum Verkörperten in dem eigenen täglichen Arbeitsablauf.
🔄 How It Develops Over Time · Wie es sich entwickelt
Week 1: Users are learning the concept. Month 1: It becomes a tool one reach for. Month 6: It's so integrated one forget it was ever new. It feels like one has always understood this.
Woche 1: Man lernt das Konzept. Monat 1: Es wird zum Werkzeug, das man nutzt. Monat 6: Es ist so integriert, dass man vergist, dass es je neu war. Es fühlt sich an, als hätest man das immer schon verstanden.
💼 In the Workplace · Am Arbeitsplatz
An HR manager uses AI to analyze hiring patterns, screen candidate responses, and prepare diversity metrics for leadership.
Ein HR-Manager nutzt KI, um Einstellungsmuster zu analysieren, Kandidatenantworten zu screenen und Diversitätskennzahlen vorzubereiten.
🌎 Translations (10 Languages)
🌐 Français (FR)
La propriété des informations générées par l’IA n’est valable que dans une fenêtre de temps spécifique. Ce qui constitue aujourd’hui une réponse correcte de l’IA peut être obsolète demain – en raison de nouvelles données, de modèles mis à jour ou de circonstances factuelles modifiées. Lié à AUG-0035 (Demi-vie épistémique) et AUG-0039 (Flou de vérité cinétique).
La validité transitoire décrit la limitation temporelle de la validité ; Liquid Facticity (AUG-0037) décrit le brouillage qui en résulte du concept de fait.
🌐 Español (ES)
La propiedad de que la información generada por IA sea válida solo dentro de un período de tiempo específico. Lo que hoy es una respuesta correcta de IA puede quedar obsoleto mañana, debido a nuevos datos, modelos actualizados o cambios en las circunstancias fácticas. Relacionado con AUG-0035 (Vida media epistémica) y AUG-0039 (Desenfoque cinético de la verdad).
La validez transitoria describe la limitación temporal de la validez; Liquid Facticity (AUG-0037) describe la confusión resultante del concepto de hecho.
🌐 Português (PT)
A propriedade das informações geradas pela IA serem válidas apenas dentro de uma janela de tempo específica. O que hoje é uma resposta correta da IA pode estar desatualizado amanhã – devido a novos dados, modelos atualizados ou alterações nas circunstâncias factuais. Relacionado a AUG-0035 (Meia-vida epistêmica) e AUG-0039 (Desfoque cinético da verdade).
Validade Transitória descreve a limitação temporal da validade; Liquid Facticity (AUG-0037) descreve a indefinição resultante do conceito de fato.
🌐 Italiano (IT)
La proprietà delle informazioni generate dall'intelligenza artificiale di essere valide solo entro una finestra temporale specifica. Quella che oggi è una risposta corretta dell’IA potrebbe essere obsoleta domani, a causa di nuovi dati, modelli aggiornati o mutate circostanze fattuali. Relativo a AUG-0035 (Emivita epistemica) e AUG-0039 (Sfocatura cinetica della verità).
La Validità Transitoria descrive la limitazione temporale della validità; Liquid Facticity (AUG-0037) descrive la conseguente sfocatura del concetto di fatto.
🌐 Nederlands (NL)
De eigenschap dat door AI gegenereerde informatie alleen geldig is binnen een specifiek tijdvenster. Wat vandaag een correcte AI-reactie is, kan morgen achterhaald zijn – als gevolg van nieuwe gegevens, bijgewerkte modellen of gewijzigde feitelijke omstandigheden. Gerelateerd aan AUG-0035 (Epistemische halfwaardetijd) en AUG-0039 (Kinetische waarheidsvervaging).
Transient Validity beschrijft de tijdelijke beperking van de validiteit; Liquid Facticity (AUG-0037) beschrijft de resulterende vervaging van het concept van feit.
🌐 Русский (RU)
Свойство информации, генерируемой ИИ, быть действительной только в течение определенного временного окна. То, что является правильным ответом ИИ сегодня, завтра может устареть — из-за новых данных, обновленных моделей или изменившихся фактических обстоятельств. Относится к AUG-0035 (Эпистемический период полураспада) и AUG-0039 (Кинетическое размытие истины).
Временная действительность описывает временное ограничение действительности; Liquid Facticity (AUG-0037) описывает возникающее в результате размытие концепции факта.
🌐 中文 (ZH)
人工智能生成的信息仅在特定时间窗口内有效的属性。由于新数据、更新的模型或实际情况的变化,今天正确的人工智能反应可能明天就过时了。与 AUG-0035(认知半衰期)和 AUG-0039(动力学真相模糊)相关。
瞬时有效性描述了有效性的时间限制; Liquid Factity (AUG-0037) 描述了事实概念由此产生的模糊性。
🌐 العربية (AR)
خاصية المعلومات المولدة بواسطة الذكاء الاصطناعي تكون صالحة فقط خلال فترة زمنية محددة. إن الاستجابة الصحيحة للذكاء الاصطناعي اليوم قد تصبح قديمة غدًا - بسبب البيانات الجديدة، أو النماذج المحدثة، أو الظروف الواقعية المتغيرة. ذات صلة بـ AUG-0035 (نصف الحياة المعرفية) وAUG-0039 (طمس الحقيقة الحركية).
تصف الصلاحية العابرة الحدود الزمنية للصلاحية؛ تصف الحقيقة السائلة (AUG-0037) التشويش الناتج عن مفهوم الحقيقة.
🌐 हिन्दी (HI)
एआई-जनित जानकारी की संपत्ति केवल एक विशिष्ट समय विंडो के भीतर मान्य होती है। आज जो सही AI प्रतिक्रिया है वह कल पुरानी हो सकती है - नए डेटा, अद्यतन मॉडल या बदली हुई तथ्यात्मक परिस्थितियों के कारण। AUG-0035 (एपिस्टेमिक हाफ-लाइफ) और AUG-0039 (काइनेटिक ट्रुथ ब्लर) से संबंधित।
क्षणिक वैधता वैधता की अस्थायी सीमा का वर्णन करती है; लिक्विड फैक्टिसिटी (एयूजी-0037) तथ्य की अवधारणा के परिणामी धुंधलापन का वर्णन करता है।
🌐 Türkçe (TR)
Yapay zeka tarafından oluşturulan bilgilerin özelliği yalnızca belirli bir zaman penceresi içinde geçerli olmasıdır. Bugün doğru olan yapay zeka tepkisi, yeni veriler, güncellenen modeller veya değişen gerçek koşullar nedeniyle yarın geçerliliğini yitirebilir. AUG-0035 (Epistemik Yarı Ömür) ve AUG-0039 (Kinetik Gerçek Bulanıklığı) ile ilgilidir.
Geçici Geçerlilik, geçerliliğin zamansal sınırlamasını açıklar; Liquid Factity (AUG-0037), olgu kavramının sonuçta ortaya çıkan bulanıklığını anlatıyor.
📎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.