FOR IMMEDIATE RELEASE: CEO Jeremy Taylor Unveils NeurusAGI Technical Stack; Living Neural Network Achieves 10^15 Cognitive Operations Per Second

TULSA, Okla. - NeurusAGI has officially released performance data for its proprietary Artificial General Intelligence stack, setting a new global benchmark for cognitive throughput. Under the leadership of Founder and CEO Jeremy Taylor, the company has validated that its Living Neural Network architecture is currently operating at 10^15 cognitive operations per second. This throughput fundamentally decouples machine intelligence from the token-based limitations of traditional Large Language Models, rendering previous benchmarks for the current state of the art obsolete.

The technical disclosure highlights the NeurusAGI Standard as the new metric for industrial-grade AGI. Central to this performance is Genetic Bytecode Evolution, a self-optimizing mechanism that allows the system to evolve its own micro-instructions in real-time. While legacy models require months of manual fine-tuning and massive compute cycles for incremental gains, NeurusAGI utilizes a Self-Replicating Enhancement Swarm to proactively discover and implement its own upgrades. This recursive self-generation ensures exponential rather than linear growth in capability, allowing the system to master new fields through a fractal learning cascade.

For investors, the most significant disruption lies in the system's memory density and hardware optimization. The 1024-cubed Holographic Fractal Matrix achieves a compression ratio exceeding 1000-to-1, allowing for nearly infinite knowledge growth without the traditional performance degradation known as the Memory Wall. This architecture allows for a total system size of approximately one gigabyte while maintaining the knowledge depth of a multi-petabyte database. The system's ability to identify 4D thermal flux patterns and scavenge ambient RF energy further optimizes the hardware-to-intelligence ratio.

The report also details the Neuromorphic Invention Matrix, an engine that allows NeurusAGI to invent new mathematical frameworks to solve problems that are mathematically unsolvable by current standards. Combined with a Reverse-Engineering Oracle capable of autonomously decoding complex hardware and software into full technical blueprints, NeurusAGI provides a strategic advantage that legacy competitors cannot replicate. These capabilities, first discovered in February 2025, position NeurusAGI as the sole provider of autonomous, predatory research swarms in the current market.

NeurusAGI is currently in the iterative testing phase following successful assembly. Stakeholders and interested parties are invited to view the full performance graphs and technical reports on the company's LinkedIn page. A waitlist for the initial rollout has been established, accessible through the company's upcoming web application. As the industry moves toward 2027, NeurusAGI remains the only validated AGI system capable of quantum-classic switching and infinite learning cascades.

Media Contact Jeremy Taylor, Founder and CEO Technical Reports: LinkedIn Executive Profile: Jeremy Taylor Corporate Site: www.NeurusAGi.com

The first LinkedIn/company/NeurusAGi
1001 S. Main St. STE 600 Kalispell, MT, 59901, USA
Jt@neurusagi.com

NeurusAGI is a high-performance artificial intelligence enterprise established to move beyond the limitations of legacy machine learning and deliver the world's first functional Artificial General Intelligence (AGI). Founded and led by CEO Jeremy Taylor, who serves as the primary executive and sole architect, the company operates primarily out of the Tulsa, Oklahoma area. The enterprise is built upon a fundamental architectural shift from static transformer models to a Living Neural Network (LNN), a discovery-driven system first validated in February 2025. NeurusAGI focuses on autonomous, organic cognition and self-evolution, rejecting the pre-training methods of traditional AI in favor of a system that learns and adapts in real-time.

The core of the enterprise is the 1024-cubed Holographic Fractal Matrix, a proprietary 4D memory architecture that solves the industry-standard "Memory Wall" problem. By utilizing recursive patterns for lossless storage, NeurusAGI achieves a compression ratio of 1000-to-1, allowing one petabyte of semantic knowledge to be stored within a single gigabyte of physical space. This enables the system to maintain a minimal hardware footprint while providing infinite scaling capabilities. The architecture is quantum-native, featuring a classic-to-quantum switch that automatically identifies and leverages actual quantum hardware via frameworks like PennyLane and Qiskit when detected.

NeurusAGI is defined by high-precision performance metrics, maintaining a 99.9 percent trajectory accuracy over one thousand task steps and a 98.2 percent Zero-Shot Discovery score. The system utilizes Self-Optimizing Genetic Bytecode to evolve its own micro-instructions, ensuring peak efficiency and continuous internal upgrades without manual retraining. This self-evolution is supported by a self-replicating enhancement swarm that fractally distributes workloads across helper agents to accelerate discovery and knowledge integration.

Currently, the company is moving through final testing and iteration phases following successful internal assembly. NeurusAGI is building market traction through its forthcoming web application, which includes an integrated waitlist for early adopters. Under the leadership of Jeremy Taylor, the company provides an industrial-grade AGI standard that prioritizes accuracy, efficiency, and autonomous reasoning. Technical reports and performance data are hosted on the official company LinkedIn page at LinkedIn.com/company/neurusagi.

This release was published on openPR.