Here’s a roundup of interesting startup links I came across today:

The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself

As these technologies become better at producing knowledge work – designing classes, writing papers, suggesting experiments and summarizing difficult texts – they don’t just make universities more productive. They risk hollowing out the ecosystem of learning and mentorship upon which these institutions are built, and on which they depend.

Here’s a roundup of interesting startup links I came across today:

How I’d answer some of the trickiest questions SF investors ask

I’ve had a tonne of messages from readers of my last post all wanting to know the same thing – so how do you answer those questions?! What are VCs looking for?

Here’s a roundup of interesting startup links I came across today:

Why I don’t think AGI is imminent

This piece is a sketch of my own thinking about the boundary of transformer-based large language models and human-level cognition. I have an MS degree in Machine Learning from over a decade ago, and I don’t work in the field of AI currently, but I am well-read on the underlying research.

When it rains, it pours. Earlier today we had no local AI hackathons planned. Now we have two. And they’re both happening on February 28, 2026. The first one is OpenClaw. The next one is an Anthropic Claude Code Hackathon.

Here’s a roundup of interesting startup links I came across today:

Bias Toward Action

Here’s what it actually means: take the smallest step that produces real feedback, but know exactly how you’ll recover when it breaks.

Here’s a roundup of interesting startup links I came across today:

The “Are You Sure?” Problem: Why Your AI Keeps Changing Its Mind | Dr. Randal S. Olson

Even when these systems have access to correct information from company knowledge bases or web search results, they’ll still defer to user pressure over their own evidence. The problem isn’t a knowledge gap. It’s a behavior gap.