Resources

These are some of the talks and references behind the way we think about websites, AI, and trust.

This is not filler. It is a running list of material we actually come back to when thinking about communication, judgment, websites, AI, and what makes people trust what they are seeing.

TED

Andrew Ng

A good starting point if you want the practical case for how AI can actually help people work better.

Open video page
TED

Jason Madar

A useful watch if you care about work that stays human, creative, and worth doing.

Open video page
TEDx

Volker Hirsch

A straightforward talk about how AI changes business and why leaders need to think clearly about it now.

Open video page
TED

Ray Kurzweil

An AI-centered talk on hybrid human-machine intelligence, creative cognition, and where computational thinking is heading next.

Open video page
TED

Gary Marcus

A useful watch if you want a direct argument about where AI risk is real and why capability without judgment is not enough.

Open video
TED

Andrew Ng: AI isn't the problem

A strong follow-on to the first Andrew Ng talk if you want the argument for building with AI instead of freezing around it.

Open video
TED

Eric Schmidt

Useful if you want a high-level read on where AI is heading and why the market is still underestimating it.

Open video
TED

Aravind Srinivas

Good for seeing how AI search and question-driven discovery are changing the way people find and evaluate information.

Open video
TED

Yejin Choi

A grounded talk on the real strengths and real limits of AI, which makes it useful for anyone trying to stay practical.

Open video
Live Signals

Fresh operational intelligence from the running platform.

This section is pulled from the live monitor, not written by hand. It updates from real checks across the stack so the resources page can carry current signal instead of staying frozen.

Latest refresh: Waiting for monitor data…

Live

Monitor warming up

The live watcher has not published its first signal snapshot yet.

Articles

Some of the written material worth reading.

After reading across business, policy, and global-development sources, the common thread is fairly simple: AI is most useful when it improves real work, raises productivity, and helps people solve harder problems faster, without pretending judgment no longer matters.

McKinsey

Economic potential of generative AI

One of the clearest business-side summaries of where measurable value may actually show up first.

Read article
IMF

Let’s make sure AI benefits humanity

A useful global-economy perspective: productivity upside is real, but so are the risks if adoption is uneven or careless.

Read article
OECD

AI, productivity, distribution and growth

More policy-heavy, but useful if you want the longer-view argument for why AI can matter across economies, not just individual tools.

Read article
World Economic Forum

Trustworthy AI can reinvent companies and help resolve global challenges

Useful if you care about the bigger picture: supply chains, resilience, and using AI for more than just cost cutting.

Read article
Stanford HAI

The 2025 AI Index Report

A strong reference if you want real numbers on adoption, investment, benchmarks, education, and policy instead of vague AI sentiment.

Read article
Stanford HAI

AI Index 2025: State of AI in 10 Charts

A quicker summary if you want the important takeaways without reading the full report first.

Read article
NIST

AI Risk Management Framework

Useful if you care about trust, governance, and practical structure instead of treating AI as pure experimentation.

Read article
OpenAI

Introducing Operator

A useful read on where browser-based agents are heading and how AI is moving from answering into acting.

Read article