Inference by Turing Post When Will We Solve AI Hallucinations? A conversation with Sharon Zhou, CEO @ Lamini
She is also super fun to talk to!
We discussed:
– How to empower developers to understand and work with AI
– Lamini's technical approach to AI hallucinations (it's solvable!)
– Why benchmarks ≠ reality
– A notable industry use case and the importance of focusing on objective outputs: Subjective goals confuse it!
– And one of my favourite moments: Sharon crushes two of the hottest topics – agents and RAG. Turns out researchers don’t understand why there’s all this hype around these two.
– We also talked about open-source and its importance.
– And last but not least, Sharon (who teaches millions on Coursera) shared how to fight the lack of knowledge about AI. Her recipe: lower the barrier to entry, help people level up – plus memes!
Please give this video a watch and tell us what you think!
Likes and subscribing to the channel are hugely appreciated.
00:00 Intro & Sharon Zhou’s Early Days in GenAI
01:25 Maternal Instincts for AI Models
02:42 From Classics to Code: Language, Product, and AI
04:30 The Spark Behind Lamini
07:45 Solving Hallucinations at a Technical Level
09:20 Benchmarks That Matter to Enterprises
11:58 Staying Technical as a Founder
13:27 The Agent & RAG Hype: Industry Misconceptions
18:44 Use Cases: From Colgate to Cancer Research
20:07 The Power of Objective Use Cases
22:28 What Comes After Hallucinations?
23:21 Following AI Research (and When It’s Useful)
26:23 Open Source & Model Ownership Philosophy
28:06 Bringing AI Education to Everyone
32:36 AI Natives & Edutainment for the Next Gen
34:18 Outro
Lamini
Website - https://www.lamini.ai
Twitter - https://x.com/laminiai
Sharon Zhou
LinkedIn - https://www.linkedin.com/in/zhousharon/
Twitter - https://x.com/realSharonZhou/
Turing Post
Website - https://www.turingpost.com/
Twitter - https://x.com/TheTuringPost
Ksenia Se (publisher)
LinkedIn - https://www.linkedin.com/in/ksenia-se
Twitter - https://x.com/kseniase_