mindsetai - kn

How much is Artificial General Intelligence (AGI) worth for OpenAI?

The cost of power for AGI

The cost of training data for AGI

Historical parallels

Conclusion: Will we actually get AGI?

Is there an AI bubble?

An AI’ founder’s view on the dot-com analogy

What happens if the AI bubble pops?

1. Small AI bubble burst within a large infrastructure build-out

2. Soft landing with massive scale-up

Closing thoughts

Feature highlights: How is GPT-5 better?

Hybrid model

Thinking mode short circuit

Free user access

Big context window

Coding, design & front-end creation

Affordable on the face of it

Unified system & router

GPT-5’s performance according to independent benchmarks

The market’s reaction to GPT-5

Reviews from AI thought leaders

GPT-5’s impact on Anthropic

Closing thoughts

1. What are ambient agents?

2. Pay-per-crawl

3. GPU becoming a tradeable commodity

4. What is Agent Experience (AX)?

Closing thoughts

Context Engineering vs. Prompt Engineering

Context in multi-agent systems

Why you should care about context engineering

Closing thoughts

Context to our modern AI anxiety

Do AI-pessimists have a point?

Who were the Luddites? And did they have a point?

The counterargument: We're already living in someone else's impossible future

Applying this to our current AI anxieties

New jobs AI will create

Trust jobs

Integration jobs

Taste jobs

Closing thoughts: Living in someone's unimaginable future

What have we been working on?

What you’ll notice

What's coming soon?

Next Steps

Building versus buying AI products

How much do enterprises spend on AI?

LLM consolidation isn’t happening

What does this all mean for tech vendors?

What have we been working on?

What you’ll notice

What's coming soon?

Next Steps