Wed, Oct 7, 2026
4:00 PM UTC (45 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course
Make Safer AI Decisions
Jai Bhagat and Nicole Mercede
AI product systems instructor. Family Office Operator turned into Internet Business Owner
Wed, Oct 7, 2026
4:00 PM UTC (45 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course
Make Safer AI Decisions
Jai Bhagat and Nicole Mercede
AI product systems instructor. Family Office Operator turned into Internet Business Owner
What you'll learn
Spot hidden risk surfaces
Identify where licensing, data provenance, model behavior, and deployment assumptions can create unexpected exposure.
Ask better evaluation questions
Separate broad benchmark claims from the checks your own use case needs before adoption.
Choose safer next steps
Use a lightweight review checklist to decide whether to test, limit, or avoid an open-source model.
Why this topic matters
Open-source models can be useful and practical, but the risks are often hidden in licensing, data provenance, deployment defaults, and evaluation gaps. In this lightning lesson, we will look at one product decision, inspect the evidence around the model, and decide what to ask before a team adopts it.
You'll learn from
Jai Bhagat
Director of AI Education at A+ Active
Teaching is the love of my life. I've taught meditation classes at Madison Square Garden, taught systems at Parsons School of Design and now I livestream myself learning to write kernels and advanced programming for GPUs and AI workloads.
Jai believes that with love and imagination that anything is possible.