@defileo: Most people pay $50,000 for an MBA to learn what Chamath just taught Stanford students for free in one session. No tuit…

X AI KOLs Timeline News

Summary

Chamath Palihapitiya gave a free lecture at Stanford on diffusion and vision model architectures, sharing insights on how to succeed in the AI era.

Most people pay $50,000 for an MBA to learn what Chamath just taught Stanford students for free in one session. No tuition, no application, no waitlist, just Chamath Palihapitiya sitting in a Stanford lecture hall telling students exactly how to win in the AI era. The man who backed Facebook at $500M valuation and built a $1.5B fund just gave away his playbook for free. Watch it, bookmark it, send it to someone who needs it.
Original Article
View Cached Full Text

Cached at: 05/20/26, 04:35 PM

Most people pay $50,000 for an MBA to learn what Chamath just taught Stanford students for free in one session.

No tuition, no application, no waitlist, just Chamath Palihapitiya sitting in a Stanford lecture hall telling students exactly how to win in the AI era.

The man who backed Facebook at $500M valuation and built a $1.5B fund just gave away his playbook for free.

Watch it, bookmark it, send it to someone who needs it.

Defileo🔮 (@defileo): The 2 things Google pays AI engineers $400k to know.

Stanford just taught it for free in one lecture.

No tuition, no application, no waitlist, no $15,000 bootcamp that teaches you half of this in 6 months.

Just a lecture on Diffusion and Vision Model Architectures sitting

Similar Articles

@AYi_AInotes: Chamath just staged the most brutal recruiting event at Stanford, slapping every big-tech pitch in the face. It’s the rawest job ad I’ve seen all year—zero fluff, zero sugar-coating, just the ugly truth laid bare. Can handle it? Apply. Can’t? Big tech is your safe space. 1,000 Stanford AI students…

X AI KOLs Timeline

Chamath Palihapitiya ran a no-filter, high-stakes recruiting session at Stanford, offering 250 slots to 1,000 AI students and daring them to skip the big-tech treadmill.