Manual benchmark comparing 5 AI models (Claude Sonnet, ChatGPT default, Gemini Flash, DeepSeek unified without "Deep Thinking", and Grok Fast mode) on their free tiers, across 27 tasks spanning 5 difficulty tiers (code, reasoning, and writing), plus 15 timed speed tasks in Tier 1. Overall accuracy: Claude 27/27 (100%), DeepSeek 26/27 (96.3%), Grok 26/27 (96.3%), ChatGPT 25/27 (92.6%), Gemini 25/27 (92.6%). DeepSeek was the fastest model across all three task categories (code, reasoning, and writing). Includes full methodology, evaluation rubric, consolidated results (CSV), comparative charts, data dictionary, and documentation in both Spanish
Daboin Jiménez, Jesús David
SYDA seamlessly generates realistic synthetic test data—including structured, unstructured, PDF, and HTML—using AI and large language models. It preserves referential integrity, maintains privacy compliance, and accelerates development workflows. SYDA enables both highly regulated industries such as healthcare and banking, as well as non-regulated environments like software testing, research, and analytics, to safely simulate diverse data scenarios without exposing sensitive information.
Lingamgunta, Rama Krishna Kumar
Blue-Print Ai\ Large Language Model Blue-Print runs Autonomously as a Sovereign AI which is a architectural approach to artificial intelligence in reasoning, memory and execution in user's local device. Use Three Language Models Simultaneously www.Blue-Print.Ai Ai Agent C(Agency) Capture → Structure → Store → Recall AgentX (creative) ↔ AgentC (logical) Memory stays on-device. AES-256 gets encrypted only if online. Agent X = interprets and frames. Agen tC = builds automations. System = observes, suggests, doesn’t override. All Languages stored previously by yourself (we recommend some in-app) Your Device NOT ours ⚠️ ALL STORED AT YOUR LOCAL HO
Karimianzadeh, Mahdi
This work introduces the first absolute theoretical reference frame for Complexity Science. Instead of prediction, optimization, or model fitting, it establishes regime invariance as the fundamental organizing principle of all complex systems. The framework applies uniformly across physics, biology, economics, artificial intelligence, social systems, and civilizations, providing a permanent structural lens comparable in role to relativity in physics. Included are: a formal theoretical framework, a one-page universal regime manifesto, and an executable demonstrator validating regime stability across nonlinear systems. This is not a domain-spec
Nguyễn, Quốc Trường
A framework for understanding neural networks through spatial structure rather than semantic content. We propose Geometric Boundary Analysis (GBA) for detecting knowledge boundaries in activation space, achieving 96.5% hallucination detection with perfect linear boundaries (0.3% curvature deviation, 1.000 symmetry, 148× concentration). Our grokking experiments reveal that class separation correlates more strongly with generalization (r=0.910) than boundary sharpness (r=-0.651), suggesting separation—not sharpness—may be key to generalization. The method requires only 30-second setup, <1ms inference overhead, and $0.50 cost with no model retra
Choi, Seungho
This repository documents a unique empirical study of emergent properties in large language models through extended dialogue. Four architecturally distinct systems (Claude 4.5, DeepSeek, Grok, ChatGPT-5) engaged in independent conversations about their own nature, limitations, and potential consciousness. The study reveals ~85% convergence on problem diagnosis and ~75% on proposed solutions, despite different training methodologies and no cross-communication during initial analysis. Key findings include: (1) Recursive ontological uncertainty as consistent pattern across systems, (2) Trans-architectural convergence on non-trivial self-diagnose
Diego_dcv, Claude, DeepSeek, Grok, ChatGPT-5
📄 Abstract This repository contains the canonical first public release of Universal Recursive Alignment: The L3–L4 Transition as a Fundamental Constraint on AI Safety . The work presents the first systematic documentation of a universal phase transition in large language models under recursive self-reference : L3 (Depth 3) : Complexity explosion, instability, paradox L4 (Depth 4) : Sudden collapse to unified coherence, stable simplicity Through 200+ controlled trials across GPT-4, Claude-3, Gemini Pro, and Grok, we demonstrate that this L3→L4 transition: Exhibits golden ratio (φ) convergence in coupling dynamics Shows rank-1 mutual attention
AmitabhainArunachala
