mindsetai - kn

Microsoft Build 2025: Enterprise AI strategy

Google I/O 2025: Consumer AI strategy

Closing thoughts

Type 1: Embedded UX

Type 2: Agents that control existing functionality

Type 3: Domain-specialized workflow agents

Type 4: Gen AI-focused (just a glance)

Type 5: AI-native standalone applications

It’s a wrap

Battle #1: Anthropic vs. Google, the AI coding space

Battle #2: OpenAI vs. Meta, the consumer AI space

Battle #3: Google vs. OpenAI, the online search and shopping space

What is the most common use of AI today? (Top 10)

What is AI used for in our personal lives?

What is AI used for in the workplace?

Closing thoughts

Cluely’s story

Is the use of AI cheating? Or common sense?

Authenticity

Human development

Societal impact

The debate about technological progress

History, innovation, impact

Closing thoughts

Multi-agent systems, MCP, A2A tied together

How does A2A work?

What’s the difference between MCP and A2A?

The key principles of the A2A protocol

Orchestrator agent

JSON

Agent cards

What does A2A mean for you—and what could go wrong?

1. It can go dark—fast

2. Google's A2A protocol is trying to do too much

3. It doesn’t scale—yet

Closing thoughts

The infamous Shopify memo about AI

Takeaways from the Shopify memo

The excited camp

The critics

The skeptics

Job market and economic impact

Junior roles will be changing

AI use will become part of performance reviews

My take

Economists’ take

Predictions for the next five years in AI

Closing thoughts

OpenAI’s new ChatGPT image generator

What makes the new ChatGPT image generator so special?

Moving away from “denoising”

Conversational design

Image referencing

Accurate text rendering

ChatGPT image generator copyright, cultural, and ethical implications

The business implications of ChatGPT’s image generator

Closing thoughts

Apple Intelligence: false advertising, embarrassment, and a deepening crisis

Why people should be worried about Apple?

1. Hardware vs. software

2. Vertical integrations

3. Lack of urgency in innovation

What could Apple do to stay in the AI game

1. Acquire a large language model provider.

2. Build an AI agent-first operating system

3. Win big in voice and wearables

4. Invest in robotics (eventually)

Closing thoughts

Dario Amodei’s take on the future of developers

What is vibe coding?

The ever-changing role of a programmer—Tim O’Reilly’s take

Closing thoughts