World Congress 2024 Aug 20, 2024

AI: Superhero or Supervillain? How and Why with Scott Hanselman

Scott Hanselman

Scott Hanselman argues that AI isn't magic, it's just mathematical token prediction. Discover why anthropomorphizing algorithms distracts from the very real dangers of bias and prompt injection.

Pause
Mute Enter Fullscreen
#1 about 2 min

Setting realistic expectations for generative artificial intelligence

Understanding how foundational text models function under the hood helps dispel widespread marketing hype.

#2 about 5 min

Demonstrating token prediction in foundational language models

Statistical probabilities determine the next encoded word rather than factual correctness or complex reasoning.

#3 about 4 min

Supplying external context and overcoming stateless constraints

Providing localized user details temporarily guides the mathematical vector of stateless generated responses.

#4 about 4 min

Navigating the uncanny valley of personalized integrations

Balancing predictive convenience against deep privacy concerns requires conscious ethical decisions rather than pure technical execution.

#5 about 2 min

Analyzing bias sources in generative text datasets

Algorithmic bias mathematically reflects the localized user prompt alongside the overall demographic makeup of historical training data.

#6 about 6 min

Modifying response behavior using invisible system instructions

Injecting invisible semantic parameters and emotional framing firmly shifts the predictive tone of the generated response.

#7 about 5 min

Bypassing boundaries with untrusted input and prompt injection

Testing built-in safety boundaries reveals how reformatting strict requests as standard application data easily bypasses model restrictions.

Matching moments

4:46 min

How generative models disrupt traditional machine interaction

Mary Grygleski Mary Grygleski · LIVE

2:33 min

Moving from secure software behavior to trustworthy AI

Matteo Meucci Matteo Meucci · Europe 2026 Virtual

1:22 min

Overcoming initial skepticism of AI code generation

Jeff Blankenburg Jeff Blankenburg · World Congress 2026 Europe

1:44 min

Basics of generative AI and prompt interactions

Cheuk Ho · World Congress 2023

1:34 min

Mitigating the inherent challenges of generative AI tools

Mary Grygleski Mary Grygleski · LIVE

1:46 min

Introduction to AI code generation and developer habits

Prashanth Chandrasekar Prashanth Chandrasekar · World Congress 2023

Upcoming sessions on this topic

Open session

World Congress 2026 North America

September 23, 2026 · 10:00–17:00

Stage 11

Building Stuff with GenAI - The Open Minded Workshop beyond OpenAI

Andreas Erben

CTO for Applied AI and Metaverse at daenet

Andreas Erben
Open session

World Congress 2026 North America

September 24, 2026 · 15:30–16:00

Mainstage

Our Brains in the AI Era

Cassidy Williams

Senior Director of Developer Advocacy, GitHub

Cassidy Williams
Open session

World Congress 2026 North America

September 25, 2026 · 14:10–14:40

Stage 1

The Broken Rung: How AI is Rebuilding Software Development from the Ground Up

Tomislav Tipurić

Chief Technology Officer, Nephos

Tomislav Tipurić
Open session

World Congress 2026 North America

September 24, 2026 · 16:10–16:40

Outdoor Stage

When Humans Stop Writing Code: Rethinking Languages, Compilers, and Responsibility

Simon Auer

Organizer of flutter vienna meetup and CEO of marqably

Simon Auer
Open session

World Congress 2026 North America

September 24, 2026 · 13:30–14:00

Stage 5

The Pedagogy of AI: Agents, Agency, and a World Beyond Coding Tutorials

Alex Goldman, Andrew MacLean

Alex Goldman
Andrew MacLean
Open session

World Congress 2026 North America

September 24, 2026 · 14:25–14:35

Outdoor Stage

SecurePrompt: Building a Pre-Flight Security Layer for Agentic AI

Ravi Sastry Kadali

AI/ML Engineer at General Motors

Ravi Sastry Kadali