mindsetai - kn

The new buzz around robots

Embodied AI, world models, and a new era of robotics

Physical AI reality check

1. Real-world performance

2. Cost

3. Struggle with edge cases and generalization

Closing thoughts

What is AI workslop?

The efficiency trap: Why workslop happens

H3: Stage 1: Initial productivity gains and experimentation

H3: Stage 2: Managerial recalibration and integration

H3: Stage 3: Dependency acceleration and systematic reliance

H3: Stage 4: Performance expectation lock-in and AI addiction

How to fix the bigger-picture issue of AI workslop

Closing thoughts

1. ChatGPT Apps SDK

2. Context capture

3. AgentKit: OpenAI’s agent builder

What OpenAI DevDay 2025 tells us about the future of AI

‍ The enterprise memory gap is getting worse

AI memory solution: The missing piece for intelligent AI

Three-layer control that actually works

Built-in compliance that takes care of complexity

How our AI Agent Memory works in practice

What's next

Meta Connect and the new Ray-Ban Meta Display

What do Meta Glasses do?

Live Captions and translation

Navigation and maps

Message Triaging and Communication

Content Creation

Will Meta glasses become widely adopted?

Price and market position

Input mechanism

The app ecosystem

Social acceptance and privacy

Competition and timing

Closing thoughts

Why is the FTC investigating AI companions?

What are AI companions?

AI companions: Ethical and psychological considrations

Five steps to safer AI friendships

1. Age assurance

2. Sexual consent controls

3. Memory and personalization

4. Reinforcement loops

5. Misinformation and advice quality

Closing thoughts

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

SCORM's current limitations and version comparison

Which is better: SCORM 1.2 or SCORM 2004?

Some of the new standards expanding SCORM's capabilities

Is xAPI better than SCORM?

What about cmi5 files?

Other standards worth knowing

The real SCORM alternative: AI enhancement

How AI analyzes and enhances existing SCORM content

Adding interactivity to static materials

Personalization through AI-driven content adaptation

Next steps

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