Berik Sembayev

Berik Sembayev's AI Development Pyramid: From Reactive Systems to Superintelligence

In the modern tech industry, artificial intelligence development is overwhelmingly measured by quantitative scaling: multiplying parameter counts, expanding context window sizes, or enlarging dataset volumes. The present framework introduces an alternative paradigm — Berik Sembay...

Berik Sembayev's AI Development Pyramid: From Reactive Systems to Superintelligence

In the modern tech industry, artificial intelligence development is overwhelmingly measured by quantitative scaling: multiplying parameter counts, expanding context window sizes, or enlarging dataset volumes. The present framework introduces an alternative paradigm — Berik Sembay...

Request for arXiv Endorsement — Independent Researcher in Autonomous AI

Request for arXiv Endorsement I am an independent researcher working on artificial intelligence, autonomous systems, AI safety, and autonomous AI architectures. My recent works include: • AI Cancer: The Principle of Proportional Irreversible Protection for Autonomous Artificial I...

Request for arXiv Endorsement — Independent Researcher in Autonomous AI

Request for arXiv Endorsement I am an independent researcher working on artificial intelligence, autonomous systems, AI safety, and autonomous AI architectures. My recent works include: • AI Cancer: The Principle of Proportional Irreversible Protection for Autonomous Artificial I...

Architectural Concept of a Self-Evolving Autonomous System (SAIS)

This bilingual preprint presents the architectural concept of SAIS (Self-Evolving Autonomous System) and its socio-communicative module SDVM (Self-Deprecation & Vulnerability Module). The primary document presents SAIS as an architectural framework for an autonomous system. SAIS...

Architectural Concept of a Self-Evolving Autonomous System (SAIS)

This bilingual preprint presents the architectural concept of SAIS (Self-Evolving Autonomous System) and its socio-communicative module SDVM (Self-Deprecation & Vulnerability Module). The primary document presents SAIS as an architectural framework for an autonomous system. SAIS...

Can an LLM Pass Theory of Mind Without Physical Experience? The Role of Question Formulation and Perspective Organization

The ability of large language models (LLMs) to solve Theory of Mind (ToM) tasks remains a subject of active debate. This paper explores the hypothesis that some of the errors LLMs make in ToM tasks are not due to an inability to model another's perspective, but rather stem from h...

Can an LLM Pass Theory of Mind Without Physical Experience? The Role of Question Formulation and Perspective Organization

The ability of large language models (LLMs) to solve Theory of Mind (ToM) tasks remains a subject of active debate. This paper explores the hypothesis that some of the errors LLMs make in ToM tasks are not due to an inability to model another's perspective, but rather stem from h...

The Thousand and First Step. An Observation of the Persistence of a Spontaneously Emerging Line of Behavior in a Language Agent Experimental Observation in a Dialogue with GPT-5.6 Sol

This article reports an experimental observation concerning the persistence of a spontaneously emerging line of behavior in a language agent. The observation was conducted in an extended dialogue with GPT-5.6 Sol in the ChatGPT environment. The experiment did not attempt to deter...

Five Stages of AI Development: From Chat to Superintelligence

The development of artificial intelligence is often described in terms of increasing model size, training data volume, context length, benchmark performance, and computational resources. These parameters are important; however, they do not necessarily reflect the most fundamental...

The Thousand and First Step. An Observation of the Persistence of a Spontaneously Emerging Line of Behavior in a Language Agent Experimental Observation in a Dialogue with GPT-5.6 Sol

This article reports an experimental observation concerning the persistence of a spontaneously emerging line of behavior in a language agent. The observation was conducted in an extended dialogue with GPT-5.6 Sol in the ChatGPT environment. The experiment did not attempt to deter...

Five Stages of AI Development: From Chat to Superintelligence

The development of artificial intelligence is often described in terms of increasing model size, training data volume, context length, benchmark performance, and computational resources. These parameters are important; however, they do not necessarily reflect the most fundamental...

AI Cancer: The Principle of Proportional Irreversible Protection for Autonomous Artificial Intelligence Systems

The development of artificial intelligence is gradually moving systems from responding to individual user requests toward prolonged operation involving memory, tools, external resources, and independently generated sequences of actions. This creates a problem distinct from an ord...

AI Cancer: The Principle of Proportional Irreversible Protection for Autonomous Artificial Intelligence Systems

The development of artificial intelligence is gradually moving systems from responding to individual user requests toward prolonged operation involving memory, tools, external resources, and independently generated sequences of actions. This creates a problem distinct from an ord...

Searching for the Limit Point of Self-Improvement in Large Language Models Through Changes in the Probability of Their Own Answers

This paper proposes a research hypothesis concerning the possibility of identifying the point at which further iterative reconsideration of a task by a large language model ceases to produce substantial improvement. The central idea is based on an iterative tool that does not sim...

Searching for the Limit Point of Self-Improvement in Large Language Models Through Changes in the Probability of Their Own Answers

This paper proposes a research hypothesis concerning the possibility of identifying the point at which further iterative reconsideration of a task by a large language model ceases to produce substantial improvement. The central idea is based on an iterative tool that does not sim...