Aim for the Guts: deep AI Integration for Economic transformation

Jev introduces a new software primitive that integrates AI with confidence levels, enabling natural language descriptions and state machines. This approach prioritizes reliability, redefined as ‘similar intelligence every time,’ to embed AI deeply into…

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Introduction

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  1. 01Introduction
  2. 02AI as a new software primitive expands software's power
  3. 03Reliability for AI means similar intelligence every time
  4. 04Deep AI integration automates rote tasks for economic transformation

Introduction

Jev introduces a new software primitive that integrates AI with confidence levels, enabling natural language descriptions and state machines. This approach prioritizes reliability, redefined as 'similar intelligence every time,' to embed AI deeply into software's core, automating rote tasks and driving economic transformation.

AI as a new software primitive expands software's power

Jev offers a novel programming primitive that allows developers to embed natural language descriptions and state machines with confidence levels directly into their code. This goes beyond traditional code generation, enabling software to make intelligent, probabilistic decisions based on high-level instructions, thereby expanding the capabilities of software itself.

human, you have this new primitive, this new thing that you stick in your code that actually expands like the power of

Reliability for AI means similar intelligence every time

For AI systems, especially those with stochastic elements, reliability is paramount. It's not about achieving exact determinism, which is often impractical, but rather ensuring 'robustness' that the AI consistently exhibits similar intelligence and behavior under similar conditions.

This consistent performance builds trust and enables the creation of applications that rely on predictable AI interactions.

would kind of describe as similar intelligence every time.

Deep AI integration automates rote tasks for economic transformation

Despite AI's intelligence, it has largely failed to automate basic, rote tasks, leading to a 'tragedy' of unfulfilled potential. To overcome this, AI needs to move beyond being a 'first layer' interface and become deeply embedded within the core logic and operations ('guts') of software systems.

This deep integration is essential for unlocking its full economic transformative power.

don't aim for the guts, you it's it's going to take you a while to get there

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