What's AI Podcast by Louis-François Bouchard

About What's AI Podcast by Louis-François Bouchard

Learn more about AI and how to better leverage it. This podcast aims to share exciting discussions with AI experts to demystify what they do and what they work on. We will cover specific AI-related topics (e.g., ChatGPT, DALLE...) and different roles related to artificial intelligence to share knowledge from the people who worked hard to gather it. I also want to showcase these people's unique paths to get where they are as AI builders, experts, and users. From building to leveraging AI technologies. Owner of the What's AI channel on YouTube, co-founder of Towards AI, and ex-PhD at Mila.

Publisher

Louis-François Bouchard

Category

technology

Language

en

Explicit

No

First episode

1 Mar 2023

Latest episode

26 Sept 2026

Latest episodes

17 of 46 episodes have a transcript.

1. 

   26 Sept 2026TRANSCRIPT

   More Tokens Won't Replace Your Point of View

   Louis-François Bouchard explores how AI's increasing capabilities might diminish human perspective in technical work, offering insights into maintaining originality and quality.

2. 

   8 Apr 2025

   What 14 Quantum Titans Revealed at GTC

   Deploy Your AI Agents 8x faster with LangWatch. Get a demo: https://langwatch.ai/?utm_source=louis-yt (https://langwatch.ai/?utm_source=louis-yt) ► Master the most in-demand skill for building AI-powered solutions—from scratch: https://academy.towardsai.net/courses/python-for-genai?ref=1f9b29 (https://academy.towardsai.net/courses/python-for-genai?ref=1f9b29) ► Master LLMs and Get Industry-ready Now: https://academy.towardsai.net/?ref=1f9b29 (https://academy.towardsai.net/?ref=1f9b29) ►Twitter: https://twitter.com/Whats_AI (https://twitter.com/Whats_AI) ►My Newsletter (My AI updates and news clearly explained): https://louisbouchard.substack.com/ (https://louisbouchard.substack.com/) ►Join Our AI Discord: https://discord.gg/learnaitogether (https://discord.gg/learnaitogether )

3. 

   16 Mar 2025TRANSCRIPT

   OpenAI's NEW Fine-Tuning Method Changes EVERYTHING (Reinforcement Fine-Tuning Explained)

   Have you ever wanted to take a language model and make it answer the way you want without needing a mountain of data? Well, OpenAI’s got something for us: Reinforcement Fine-Tuning, or RFT, and it changes how we customize AI models. Instead of retraining it with feeding examples of what we want and hoping it learns in the classical way, we actually teach it by rewarding correct answers and penalizing wrong ones, just like training a dog — but, you know, with fewer treats and more math. Let’s break down reinforcement fine-tuning compared to supervised fine-tuning! Both essentially have their use that we can discuss in one line: Supervised fine-tuning teaches new things the model does not know yet, like a new language, which is powerful for small and less “intelligent” models. While reinforcement fine-tuning orients the current model to what we really want it to say. It basically “aligns” the model to our needs, but we need an already powerful model. This is why reasoning models are a perfect fit. I’ve already covered fine-tuning on the channel if you are interested in that. Today, let’s get into how RFT actually works!

Inside a recent episode

More Tokens Won't Replace Your Point of View

Published 26 Sept 2026 · Transcript excerpt

[…] And you can't get that back by throwing more tokens at the task. AI engineers might be especially vulnerable to this, because we're getting so good at automating that first 80%. The better the model gets at giving us something that feels complete, the easier it is to forget that completing the output is never the same as completing the work. And other people end up paying for that missing effort with their time and their attention. And as we now know, attention is all you need. The thing is, we need both. The model's attention and human attention to make something truly great and unique. So what I'm getting at is we need to be careful to keep that 20% for ourselves. […]

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

YouTube views

3,904,469

Score snapshot 15 Sept 2025

Apple Podcasts (US)

4.2 / 5

5 ratings

Spotify

4.6 / 5

17 ratings

Podcast Authority Score: 50 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality

30

Social presence

0

YouTube

93

Engagement

82

Contact What's AI Podcast by Louis-François Bouchard

Guest appearances

Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.

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