Al’s AI Implementation Guide: Part 2 - Agents

Why AI implementation?

“The rise of artificial intelligence and big data technologies may prove almost as transformative to the economy as the Industrial Revolution.”

https://business.columbia.edu/research-brief/research-brief/ai-industrial-revolution

We are experiencing a leap in AI capabilities. In the past 10 years AI has surpassed human-level performance in image recognition, reading comprehension and language understanding. At this pace, AI will likely outperform humans in most knowledge-based tasks within the next decade.

Kela et al. (2023)

Kela et al. (2023)

But there’s a gap between what AI can do and how it’s being used. Most job types are yet to significantly use AI. Software developers are an exception — they account for just 3.4% of the U.S. workforce yet generate 27% of Claude conversations.

The Anthropic Economic Index

The Anthropic Economic Index

That gap is why I’m committing the next phase of my career to the implementation of AI.

This guide aims to bridge the gap between AI’s capabilities and its practical use. Creating it will help myself and others becomes experts in AI implementation. It will include:

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https://alasdairb.substack.com/embed

First Principles: What is AI?

One day ladies will take their computers for walks in the park and tell each other, "My little computer said such a funny thing this morning”

Alan Turing, 1951, “Can Digital Computers Think”

The idea of a rational computer mind is as old as the computer itself. Turing was not only the father of computer science, but also introduced the concepts of machine learning, the Turing test, and AI ethics.