The Good Stuff, with Pete and Andy - Episode 5: Billy Big Models

Hosts: Pete and Andy (recording at City Beach, Perth)

Episode Overview: Pete and Andy challenge the belief that more advanced AI models are needed for business transformation, arguing existing models are already sufficient to achieve dramatic cost reductions. They explore frameworks for AI implementation and why businesses should act now rather than waiting for future developments.

Agriculture Mechanization as an AI Parallel (03:40-06:42)

Before mechanization: 10 farm workers needed to feed 1 person; after: 1 farmer feeds 100+

Similar dramatic workforce changes could occur in knowledge sectors with AI

The "Billy Big Models" Concept (11:06-15:10)

Central question: Do we need more advanced AI models for business transformation?
Pete argues we don't need models better than what existed 9-12 months ago
Challenging the industry narrative focused on larger models and AGI

Augmentation vs. Agentic Approaches (18:12-22:00)

Augmentation: Using AI tools to enhance existing human jobs (current focus)
Agentic: Completely rewiring business processes on an "AI native" standard
The distinction between "assist" vs. "automate" approaches

Task Decomposition as the Key (23:22-25:55)

Breaking down jobs into "subatomic" tasks is crucial
Each agent only needs to do one small task well, not an entire job
100 simple agents is exponentially easier than creating one complex agent
Human tasks ($100) → LLM tasks ($10) → silicon/code tasks ($1)

Traditional Business Model Problems (29:10-32:38)

Companies adding AI as "tool creep" rather than rethinking from first principles
Pursuing 5-15% efficiency gains when competitors might achieve 90% cost reduction
Processes designed around humans remain expensive even with AI tools

E-commerce Parallel to AI Transformation (35:44-39:12)

Limited approach: existing stores simply adding websites (e.g., Myer)
Transformative approach: complete rethinking (e.g., Warby Parker)
Question of whether incumbents will be displaced by AI-native businesses

Obstacles to Business Transformation (43:56-49:57)

Lack of understanding about AI implementation approaches
Insufficient intent, time, and money to transform operations
Middle management's disincentives to reduce team size
Waiting for "AGI" as an excuse for inaction

The "Learn to Surf" Analogy (53:28-55:51)

Business transformation requires reading patterns like a surfer
Technology shifts as waves that businesses must learn to ride
The ocean/wave is more powerful than you - you must adapt to it

Agency as the New Competitive Advantage (56:46-01:00:02)

High-agency individuals will benefit most in the next 5-10 years
Agency may become "the new IQ" for harvesting opportunity
The need for adaptability rather than rigid expertise

Advancements Beyond Bigger Models (01:03:40-01:10:45)

Recent key advancements weren't bigger models but new techniques:
Multi-agent architectures mirroring how teams of people approach problems.

Notable Quotes:

"If you're sat around waiting for AGI and AGI takes 10 years, and right now I can take 80% of the cost out of a business line, I will crush you in the market."
"What would this process look like if I now had unlimited access to intelligence?"
"Agency is going to be the new IQ. That's the standard for harvesting opportunity."

[FOCUS ] Les pièges à éviter pour optimiser le montant des subventions et la rentabilité du projet