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Research#llm📝 BlogAnalyzed: Dec 29, 2025 09:30

Axiomatic Convergence in Constraint-Governed Generative Systems: Definition, Hypothesis, Taxonomy, and Experimental Protocol

Published:Dec 29, 2025 09:14
1 min read
r/artificial

Analysis

This preprint introduces a significant hypothesis regarding the convergence behavior of generative systems under fixed constraints. The focus on observable phenomena and a replication-ready experimental protocol is commendable, promoting transparency and independent verification. By intentionally omitting proprietary implementation details, the authors encourage broad adoption and validation of the Axiomatic Convergence Hypothesis (ACH) across diverse models and tasks. The paper's contribution lies in its rigorous definition of axiomatic convergence, its taxonomy distinguishing output and structural convergence, and its provision of falsifiable predictions. The introduction of completeness indices further strengthens the formalism. This work has the potential to advance our understanding of generative AI systems and their behavior under controlled conditions.
Reference

“The paper defines “axiomatic convergence” as a measurable reduction in inter-run and inter-model variability when generation is repeatedly performed under stable invariants and evaluation rules applied consistently across repeated trials.”

Permalinkr/artificial
Security#AI Chatbot Vulnerabilities📝 BlogAnalyzed: Dec 28, 2025 21:57

Researchers Accuse Eurostar of Blackmail Accusation Over AI Chatbot Flaw Disclosure

Published:Dec 24, 2025 23:40
1 min read
SiliconANGLE

Analysis

The article reports on a dispute between security researchers and Eurostar, the train operator. The researchers, from Pen Test Partners LLP, discovered security flaws in Eurostar's AI chatbot. When they responsibly disclosed these flaws, they were allegedly accused of blackmail by Eurostar. This highlights the challenges of responsible disclosure and the potential for companies to react negatively to security findings, even when reported ethically. The incident underscores the importance of clear communication and established protocols for handling security vulnerabilities to avoid misunderstandings and protect researchers.
Reference

“The allegation comes from U.K. security firm Pen Test Partners LLP”

PermalinkSiliconANGLE
Technology#Artificial Intelligence👥 CommunityAnalyzed: Jan 3, 2026 16:11

OpenAI Requires ID Verification and No Refunds for API Credits

Published:Oct 25, 2025 09:02
1 min read
Hacker News

Analysis

The article highlights user frustration with OpenAI's new ID verification requirement and non-refundable API credits. The user is unwilling to share personal data with a third-party vendor and is canceling their ChatGPT Plus subscription and disputing the payment. The user is also considering switching to Deepseek, which is perceived as cheaper. The edit clarifies that verification might only be needed for GPT-5, not GPT-4o.
Reference

““I credited my OpenAI API account with credits, and then it turns out I have to go through some verification process to actually use the API, which involves disclosing personal data to some third-party vendor, which I am not prepared to do. So I asked for a refund and am told that that refunds are against their policy.””

PermalinkHacker News