Inference is Turing Post’s way of asking the big questions about AI — and refusing easy answers. Each episode starts with a simple prompt: “When will we…?” – and follows it wherever it leads.
Host Ksenia Se sits down with the people shaping the future firsthand: researchers, founders, engineers, and entrepreneurs. The conversations are candid, sharp, and sometimes surprising – less about polished visions, more about the real work happening behind the scenes.
It’s called Inference for a reason: opinions are great, but we want to connect the dots – between research breakthroughs, business moves, technical hurdles, and shifting ambitions.
If you’re tired of vague futurism and ready for real conversations about what’s coming (and what’s not), this is your feed. Join us – and draw your own inference.
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Inference is Turing Post’s way of asking the big questions about AI — and refusing easy answers. Each episode starts with a simple prompt: “When will we…?” – and follows it wherever it leads.
Host Ksenia Se sits down with the people shaping the future firsthand: researchers, founders, engineers, and entrepreneurs. The conversations are candid, sharp, and sometimes surprising – less about polished visions, more about the real work happening behind the scenes.
It’s called Inference for a reason: opinions are great, but we want to connect the dots – between research breakthroughs, business moves, technical hurdles, and shifting ambitions.
If you’re tired of vague futurism and ready for real conversations about what’s coming (and what’s not), this is your feed. Join us – and draw your own inference.
When Will We Solve AI Hallucinations? A conversation with Sharon Zhou, CEO @ Lamini
Inference by Turing Post
34 minutes
8 months ago
When Will We Solve AI Hallucinations? A conversation with Sharon Zhou, CEO @ Lamini
In the episode 001: the incredible Sharon Zhou, co-founder and CEO of Lamini. She’s a generative AI trailblazer, a Stanford-trained protégé of Andrew Ng – who, along with Andrej Karpathy and others, is also an investor in her company Lamini. From co-creating one of Coursera’s top AI courses to making MIT’s prestigious “35 under 35” list, Sharon turns complex tech into everyday magic.
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_
Inference by Turing Post
Inference is Turing Post’s way of asking the big questions about AI — and refusing easy answers. Each episode starts with a simple prompt: “When will we…?” – and follows it wherever it leads.
Host Ksenia Se sits down with the people shaping the future firsthand: researchers, founders, engineers, and entrepreneurs. The conversations are candid, sharp, and sometimes surprising – less about polished visions, more about the real work happening behind the scenes.
It’s called Inference for a reason: opinions are great, but we want to connect the dots – between research breakthroughs, business moves, technical hurdles, and shifting ambitions.
If you’re tired of vague futurism and ready for real conversations about what’s coming (and what’s not), this is your feed. Join us – and draw your own inference.
