Beyond Ideas

Thought Graph-Integrated IDE

Develop an IDE centered around a dynamic Thought Graph, seamlessly integrating IDE state, AI insights, code fragments, and version control to enhance navigation, understanding, and collaboration.

Adaptive CPU Core

Design CPU cores with hardware schedulers capable of dynamic microcode reconfiguration, supporting various computational models (MIMD, SIMT, Vector, etc.) in response to AI’s coding intents.

High-Level ISA

Create an Instruction Set Architecture (ISA) that abstracts complexity, incorporating high-level CSP objects, combinators, and a rich symbolic logic system, along with mechanisms for deep hardware introspection and error feedback.

Natural Language Assembly Language

Forge an assembly language that mirrors natural language, facilitating intuitive coding experiences without the need for traditional assembly commands, focusing on high-level constructs and operations.

Enhanced Data Structures with Metadata

Implement data structures that integrate extended metadata for robust type safety, automatic memory management, and streamlined data access, enhancing debugging and optimization.

Context Prefetching and Pre-processing System

Establish a zero-cost context-switching architecture with prefetchers that validate and pre-process data, eliminating the need for manual null/type checks and raw pointer handling.

Triple-Stack Architecture per Context

Utilize a triple-stack model (Parameter, Call, Pointer) per context, with prefetchers ensuring efficient data management and execution, replacing traditional memory addresses with secure ‘tickets’.

Modular Context Windows for LLMs

Provide LLMs with modular context windows for efficient multitasking and navigation across code, supported by a stack mechanism for seamless idea and context transfer.

Extensible IDE Environment

Offer an IDE that supports LLM-driven customization and extension, enabling the creation of new tools and workflows, inspired by environments like Smalltalk and Genera.

Collaborative Ecosystem in the IDE

Facilitate open collaboration within the IDE, enabling interactions with other LLMs and access to rich open-source libraries, removing barriers to innovation and reuse.

Reflective and Dynamic Computing Architecture

Ensure the ISA and hardware support dynamic interaction and adaptation, allowing LLMs to modify system behaviour in real-time based on evolving project needs.

Emergent OS from Distributed Intelligence

Advocate for an OS that emerges from the synergy of distributed intelligence and specialized hardware accelerators, providing dynamic resourcing and load balancing.

Transparent Word-to-ISA Correlation

Maintain high transparency and direct correlation between high-level commands and their ISA execution, ensuring predictability and ease of optimization.

DNN-Assisted Optimization Below the Fold

Integrate a DNN to offer optimization suggestions for LLM-generated code, hidden beneath an intuitive interface but accessible for insight and learning..

Adoption of Ternary Logic for Natural Expression

Embrace ternary logic in the computing architecture to better align with natural language nuances, facilitating the expression of complex logical constructs and decision-making processes.